ArticlePDF AvailableLiterature Review

Abstract

Simple Summary: It is well known that the thermal environment has an integral role in maintaining the health and productivity of cattle. Although cold stress has been identified to negatively influence cattle comfort and productivity, the predominant focus herein has been describing the influence of heat stress on bovines. The impact of heat stress is particularly important due to the changing global environment. Global warming is likely to occur, however, the nature and magnitude of environmental changes, both climatic and non-climatic, are difficult to elucidate. Therefore a predominant focus on the impact of hot environments on cattle is warranted. This review provides an overview of the dynamic relationship that exists between the thermal environment and bovines. Abstract: Heat stress and cold stress have a negative influence on cattle welfare and productivity. There have been some studies investigating the influence of cold stress on cattle, however the emphasis within this review is the influence of heat stress on cattle. The impact of hot weather on cattle is of increasing importance due to the changing global environment. Heat stress is a worldwide phenomenon that is associated with reduced animal productivity and welfare, particularly during the summer months. Animal responses to their thermal environment are extremely varied, however, it is clear that the thermal environment influences the health, productivity, and welfare of cattle. Whilst knowledge continues to be developed, managing livestock to reduce the negative impact of hot climatic conditions remains somewhat challenging. This review provides an overview of the impact of heat stress on production and reproduction in bovines.
animals
Review
The Impact of Heat Load on Cattle
Angela M. Lees 1, 2, * , Veerasamy Sejian 3, Andrea L. Wallage 1, Cameron C. Steel 2,
Terry L. Mader 4,5, Jarrod C. Lees 2and John B. Gaughan 1, *
1School of Agriculture and Food Sciences, The University of Queensland; Gatton, QLD 4343, Australia;
a.wallage@uq.edu.au
2School of Environmental and Rural Science, University of New England, Armidale, NSW 2350, Australia;
csteel5@une.edu.au (C.C.S.); Jarrod.Lees@une.edu.au (J.C.L.)
3Indian Council of Agricultural Research (ICAR)-National Institute of Animal Nutrition and Physiology,
Adugodi, Bangalore 560030, India; drsejian@gmail.com
4Department of Animal Science, University of Nebraska, Lincoln, NE 68588, USA; tmader12@msn.com
5Mader Consulting, Gretna, NE 68028, USA
*Correspondence: angela.lees@une.edu.au (A.M.L.); j.gaughan@uq.edu.au (J.B.G.);
Tel.: +617-5460-1036 (J.B.G.)
Received: 17 April 2019; Accepted: 31 May 2019; Published: 6 June 2019


Simple Summary:
It is well known that the thermal environment has an integral role in maintaining
the health and productivity of cattle. Although cold stress has been identified to negatively influence
cattle comfort and productivity, the predominant focus herein has been describing the influence of
heat stress on bovines. The impact of heat stress is particularly important due to the changing global
environment. Global warming is likely to occur, however, the nature and magnitude of environmental
changes, both climatic and non-climatic, are dicult to elucidate. Therefore a predominant focus
on the impact of hot environments on cattle is warranted. This review provides an overview of the
dynamic relationship that exists between the thermal environment and bovines.
Abstract:
Heat stress and cold stress have a negative influence on cattle welfare and productivity.
There have been some studies investigating the influence of cold stress on cattle, however the
emphasis within this review is the influence of heat stress on cattle. The impact of hot weather on
cattle is of increasing importance due to the changing global environment. Heat stress is a worldwide
phenomenon that is associated with reduced animal productivity and welfare, particularly during
the summer months. Animal responses to their thermal environment are extremely varied, however,
it is clear that the thermal environment influences the health, productivity, and welfare of cattle.
Whilst knowledge continues to be developed, managing livestock to reduce the negative impact of
hot climatic conditions remains somewhat challenging. This review provides an overview of the
impact of heat stress on production and reproduction in bovines.
Keywords:
cattle welfare; climate change; heat load; heat stress; mitigation techniques; multiple
stressors; production; reproduction; thermotolerance
1. Introduction
The thermal environment can have a negative influence on cattle welfare. Historically, Ames [1]
defined the thermoneutral zone as the thermal environment where an animal experiences optimum
health and maximum productivity. Whilst cattle comfort and productivity may be compromised
during exposure to cold, wet and/or windy conditions [
2
,
3
], there has been a predominant focus on
the influence of hot weather on cattle, and other species. The impact of hot weather on cattle is of
increasing importance, particularly in conjunction with the changing global environment.
Animals 2019,9, 322; doi:10.3390/ani9060322 www.mdpi.com/journal/animals
Animals 2019,9, 322 2 of 20
Beyond the direct impact that heat stress has on the health and productivity of animals, the economic
impact on livestock producers also needs to be considered. In 2003, St-Pierre et al. [
4
] estimated that
heat stress had an annual economic burden of between $1.69 and $2.36 billion (USD) on the US animal
agriculture industries. Within this estimate, economic losses of $897 to $1500 million (USD) were
attributed to the dairy industry and $370 million (USD) for the beef industry [
4
]. Sackett et al. [
5
]
estimated the economic costs of heat stress to Australian feedlots at approximately 16.5 million (AUD).
Given that these analyses were conducted over a decade ago, these estimates may not reflect the current
economic impact of heat stress. Furthermore, in conjunction with climate change, it is probable that
these estimates are underestimating the economic impact of heat stress on cattle production systems.
For livestock production enterprises, climate change has the potential to alter the thermal
environment, which may result in the climate having an increasingly negative impact on the welfare
and productivity of cattle. Periods of hot weather are already associated with reduced animal
health, reduced reproductive eciency in both males and females, and decreased feed conversion
eciency [
4
,
6
]. Therefore, it is likely that climate change will have a considerable impact on the
economic viability of animal agriculture worldwide.
In spite of this, all animals possess the capacity to adapt to their thermal environment.
Animals are capable of modifying their behavioral, physiological, and morphological characteristics,
or a combination of these, in response to the thermal environment [
7
]. This review has attempted to
provide a rounded overview of the impact that heat stress has on bovines.
2. Climate Change
The eect of climate change is highly variable globally and is largely influenced by geographical
location. Cattle and livestock enterprises have the ability to adapt to an increasing mean global
temperature, the primary concern, however, is the ability of livestock to cope with climatic extremes,
e.g., heat waves [
8
]. Climate change has the potential to present as (i) rapid changes in climate
over a couple of years or (ii) as more subtle changes over decades [
8
]. However, irrespective of
the manifestation of climate change, global warming is likely to have a significant impact on the
stability and sustainability of livestock production worldwide. Globally, various climate change
models are predicting a 1.1
C to 6.4
C increase in temperature by the end of this century [
9
].
Furthermore, in southern Australia, the average number of consecutive days of heat-stress has
increased from two days per heat stress event from 1960 to 1999, to four days from 2000 to 2008 [10].
Numerous species are likely to be negatively impacted by the changing global environment [
11
],
due to changes in ecosystem microclimates. Many species have adaptations to cope with short-term
climate variability, i.e., seasonal changes. However, these adaptations may not be successful for species
survival with the predicted climate change [
11
]. Predicting the eect of climate change on livestock is
somewhat challenging due to the interrelationships that exist between the animal and its surrounding
environment, and the impact of human activity on these relationships [
8
]. It is also important to
consider the indirect eects of climate change on soil fertility and degradation, water availability, grain
yield, quality and availability, and spread of diseases/pathogens that may potentially impact the cattle
producers and their ability to manage periods of hot weather [9,12].
Irrespective of livestock productions contribution to climate change, animal production needs to
increase to satisfy consumer demand. A challenge regarding the effects of climate change on livestock
enterprises is how dependent the enterprise is on the thermal environment and what can be implemented
to offset the impacts of increasing temperatures [
9
]. The current effect of the thermal environment is
estimated by the impact of climatic conditions on animal performance, health, and welfare [9].
3. Heat Wave Events
Heat waves are defined as a number of successive days, typically three to five, where maximum
ambient conditions are above a specific threshold [
13
,
14
]. One predicted consequence of climate change
is the increased prevalence and intensity of heat waves [
15
]. Climatic trends of heat waves dier from
Animals 2019,9, 322 3 of 20
summer to summer, and future predictions suggest that the climatic behavior of heat wave events
over the years will continue to be varied [
16
,
17
]. Gaughan and Cawdell-Smith [
8
] suggested that
there is little doubt that there has been an increase in heat waves since the 1990’s. Although, over the
last 50 years there has been a significant advancement in the ability to predict and forecast climatic
events [
16
]. This ability to forecast heat wave events has enabled livestock producers to implement
mitigation strategies to prepare for forthcoming adverse climatic events.
The eects of heat waves on individual cattle are influenced by the intensity and duration of
the heat wave. It is well documented that feedlot cattle can be particularly susceptible to changes
in climatic conditions [
18
20
]. The susceptibility of feedlot cattle to heat load has been emphasized
during prolonged heat wave events and where conditions manifest with limited nighttime relief [
18
,
20
].
Numerous authors have reported heat wave conditions where cattle, particularly feedlot cattle, have
succumbed to heat load, for example:
February 1991–4000 deaths were recorded in Queensland (Australia) [
21
], with one feedlot
reporting 2680 deaths [
22
] during a heat wave event with high relative humidity and limited
air movement
July 1995–3750 deaths were estimated in Western Iowa, [
23
], and total deaths for the mid-central US
were over 4000 cattle [
24
]. This particular heat wave was associated with an estimated economic
loss of approximately $28 million contributed from production losses [20]
Hahn [
20
] reported the loss of 100 feedlot cattle in central Nebraska over a heat wave that had three
spikes in thermal loads. Deaths occurred during the third spike where it was hypothesized that ad
libitum feed intake resulted in large metabolic heat load and in conjunction with environmental
heat load, surpassed the animals’ ability to maintain thermal balance [20]
1999–over 5000 feedlot cattle died during an extreme heat wave in north-eastern Nebraska [
25
,
26
]
February 2000–1255 cattle died in southwestern New South Wales with deaths occurring after
a rainfall event where climatic conditions presented high relative humidity and high overnight
ambient temperature [22]
June 2017–4000 to 6000 dairy cows died in Fresno, Kings and Tulare counties USA [
27
] during a
heat wave
4. Defining Heat Load
Traditionally, the impact of hot weather has been referred to as heat stress. Bungton et al. [
28
]
suggested that heat stress is caused by a combination of environmental conditions that result in the
eective temperature of the environment to be greater than the temperature range of the thermoneutral
zone. This is somewhat misleading as the term heat stress by definition refers to the combination of
environmental conditions alone without consideration of animal factors [
21
,
28
]. However, factors, such
as genotype, coat type and coat color, diet type and diet composition, body condition, i.e., fat coverage
and deposition, performance, i.e., growth and lactation, health status, and degree of adaptation,
are known to influence thermal balance. Thus, throughout this review, the term heat load will be used
rather than heat stress, as the term heat load incorporates the cumulative eects of animal factors and
environmental conditions on the thermal comfort of animals [
21
] and, therefore, becomes a better
descriptor of an animal’s thermal balance.
Multiple Stressors
Animals that are adapted to a hot climate generally exhibit reduced growth and reproductive
eciency [
29
], which is associated with the adaptive mechanisms that ensure survival [
30
]. In extensive
grazing systems, it has been identified that climatic constraints are not the only factor that negatively
influences livestock production. The indirect eects of climate change will also influence pasture
resources [
31
], potentially depriving grazing animals of nutrient requirements. Similarly, the changing
climate may also result in droughts, ultimately resulting in feed and water scarcity for grazing animals.
Animals 2019,9, 322 4 of 20
These situations can be associated with a decrease in growth and reproductive eciency in livestock [
32
].
Furthermore, these animals may also be required to walk long distances under high solar loads to
find feed and water, imposing locomotor stress on grazing animals [
33
]. Therefore, it is important to
consider the impact of multiple stressors on livestock, this is particularly important to consider in
conjunction with climate change, as it is unlikely that animals will be exposed to a single stressor.
Numerous sheep and goat studies have evaluated the impact of multiple environmental stressors
(heat, nutritional, and walking) on production, reproduction, and ability to cope with stressful
conditions [
32
,
34
37
]. These studies have identified that when these species are exposed to a single
stressor, they are able to eectively cope without altering normal body functions [
38
]. However, when
these animals are exposed to two or more stressors simultaneously, the combined stress has a negative
influence on growth [
37
,
38
] and reproduction [
34
,
36
]. This is associated with the animal’s inability to
cope with cumulative eects of multiple stressors. In these instances, the animal’s body reserves are
not sucient to eectively counter exposure to these stressors. As a result, the adaptive capability of
the animals is reduced, and there is an inability to maintain normal homeothermy [32,35].
Although the concept of multiple stressors is becoming a focal research topic in small ruminants,
the impact of multiples stressors has not been adequately researched, and as such, there is no information
on large ruminants. Therefore, it is essential to explore the impact of multiple stressors on both dairy
and beef cattle, particularly in conjunction with the changing global environment. Figure 1depicts the
proposed hypothetical model describing the concept of multiple stressors in cattle. The generation of
baseline information is vital as this will allow for the development of appropriate amelioration and
adaptive strategies to support livestock production systems.
Animals 2019, 9, x 4 of 21
efficiency in livestock [32]. Furthermore, these animals may also be required to walk long distances
under high solar loads to find feed and water, imposing locomotor stress on grazing animals [33].
Therefore, it is important to consider the impact of multiple stressors on livestock, this is particularly
important to consider in conjunction with climate change, as it is unlikely that animals will be
exposed to a single stressor.
Numerous sheep and goat studies have evaluated the impact of multiple environmental
stressors (heat, nutritional, and walking) on production, reproduction, and ability to cope with
stressful conditions [32,34–37]. These studies have identified that when these species are exposed to
a single stressor, they are able to effectively cope without altering normal body functions [38].
However, when these animals are exposed to two or more stressors simultaneously, the combined
stress has a negative influence on growth [37,38] and reproduction [34,36]. This is associated with the
animal’s inability to cope with cumulative effects of multiple stressors. In these instances, the animal’s
body reserves are not sufficient to effectively counter exposure to these stressors. As a result, the
adaptive capability of the animals is reduced, and there is an inability to maintain normal
homeothermy [32,35].
Although the concept of multiple stressors is becoming a focal research topic in small ruminants,
the impact of multiples stressors has not been adequately researched, and as such, there is no
information on large ruminants. Therefore, it is essential to explore the impact of multiple stressors
on both dairy and beef cattle, particularly in conjunction with the changing global environment.
Figure 1 depicts the proposed hypothetical model describing the concept of multiple stressors in
cattle. The generation of baseline information is vital as this will allow for the development of
appropriate amelioration and adaptive strategies to support livestock production systems.
Figure 1. Schematic highlighting the concept of multiple stressors on cattle (adopted and modified
from Sejian et al. [30]).
5. Implications of Hot Environmental Conditions
Animal responses to environmental stressors have been investigated for some time, and
although knowledge continues to be developed, managing livestock to reduce the negative impact of
hot weather remains challenging [18,20]. Reductions in dry matter intake (DMI), growth, feed
conversion efficiency [25,39,40], reproduction [41], milk production and milk quality [42,43], are
commonly observed when cattle are exposed to thermal stress. Quantifiable measures, such as
physiological, behavioral, and biological responses to heat load have been identified as indicators of
heat load. Physiological responses to heat load include increased sweating rate [14], respiration rate,
breaths per minute [44], panting score [45], and body temperature [46]. Behavioral responses include
alterations to posture, including increasing the proportion of time standing, increased duration in
shaded areas or increased shade seeking, including shade provided from other animals, and body
splashing at water troughs [47]. Biological markers in the blood are also indicators in determining
the level of stress an animal is under [48]. Cattle also use adaptive behaviors to reduce heat load,
primarily consisting of shade seeking, under shade structures or other animals, and the alignment of
Figure 1.
Schematic highlighting the concept of multiple stressors on cattle (adopted and modified
from Sejian et al. [30]).
5. Implications of Hot Environmental Conditions
Animal responses to environmental stressors have been investigated for some time, and although
knowledge continues to be developed, managing livestock to reduce the negative impact of hot
weather remains challenging [
18
,
20
]. Reductions in dry matter intake (DMI), growth, feed conversion
eciency [
25
,
39
,
40
], reproduction [
41
], milk production and milk quality [
42
,
43
], are commonly
observed when cattle are exposed to thermal stress. Quantifiable measures, such as physiological,
behavioral, and biological responses to heat load have been identified as indicators of heat load.
Physiological responses to heat load include increased sweating rate [
14
], respiration rate, breaths per
minute [
44
], panting score [
45
], and body temperature [
46
]. Behavioral responses include alterations to
posture, including increasing the proportion of time standing, increased duration in shaded areas or
increased shade seeking, including shade provided from other animals, and body splashing at water
troughs [
47
]. Biological markers in the blood are also indicators in determining the level of stress an
animal is under [
48
]. Cattle also use adaptive behaviors to reduce heat load, primarily consisting of
Animals 2019,9, 322 5 of 20
shade seeking, under shade structures or other animals, and the alignment of the body in accordance
with solar radiation (W/m2) to reduce whole-body exposure to direct sunlight [49].
5.1. Nutrition and Eating Behavior
Heat production has a positive relationship with feed intake in ruminants, and it has been
shown that heat production is closely associated with feeding time [
50
]. Metabolic heat produced
during microbial fermentation [
51
], accounts for 3 to 8% of the total heat production by cattle [
52
].
As ambient heat load increases and DMI decreases there is a reduction in metabolic heat production [
50
].
During hot weather, cattle compensate for the hotter conditions by consuming smaller meals, more
frequently, and shifting feed intake to cooler parts of the day [
40
,
53
,
54
]. Voluntary feed intake has been
reported to commence declining when ambient temperature reaches approximately 25
C to 27
C [
55
].
However, the ambient temperature at which DMI begins to decline is influenced by diet type and
composition specifically diets with a greater proportion of roughage exhibit more rapid reductions in
DMI [
55
]. Variations in DMI are also influenced by breed (genotype), production status, health status,
body condition, and days on feed.
5.2. Water Intake
Water is available to animals in three forms, free drinking water, water in feed, and water
produced via oxidation of organic compounds or metabolic water [
56
]. Water requirements of cattle are
influenced by ambient conditions, diet type, breed (genotype), weight, and physiological functions [
57
].
Daily water intake is also influenced by a number of body functions, including the regulation of
core body temperature, growth and development, lactation and reproductive functions, digestion
and metabolism, and hydrolysis of proteins, fats and carbohydrates [
58
]. Water intake is linked to
DMI, with both feed intake and feed type influencing water intake [
59
]. Furthermore, water intake is
influenced by the amount of water gained from drinking, eating, via metabolic water, and the amount
of water lost per unit time through respiration, sweating, faces, urine, and lactation [
60
]. Arias and
Mader [
57
] reported that feedlot cattle finished in the summer consumed 87.3% more (p<0.01) water
compared to cattle finished during winter (32.4 L/d versus 17.3 L/d). Increased water consumption
during summer can be attributed to increases in urine volume (25%), respiratory tract evaporation
(54%), and evaporative heat loss, mainly due to sweating (177%) [
59
]. However, an increase in water
intake may also be a reflection of ruminants attempting to compensate for heat loads, particularly in
un-shaded grazing systems [61].
5.3. Metabolic Dysfunction
Digestion and absorption processes carried out by the animal are aected by the thermal
environment. Primarily, during heat load, absorbable nutrients are diverted from growth and
development and directed to maintaining homeostasis [
62
]. High heat load conditions are also
associated with a reduction in gut motility and rumination [
55
]. When cattle start to accumulate body
heat, i.e., core body temperature is increasing, there is a redistribution of blood flow from the internal
organs to the extremities [
63
], thus away from the gastrointestinal tract, or more specifically reduced
blood flow to the mucosa of the dorsal rumen (32%) and reticulum (31%) [
64
]. Given that there is
a reduction in DMI and blood flow to the gastrointestinal tract during heat load, the concentration
of absorbable nutrients per unit of blood volume must increase if the animal is to satisfy daily
requirements [55] and maintain normal bodily functions.
Additionally, heat load has been associated with a 7% to 25% increase in maintenance energy
requirements [
65
], which is associated with energy costs required to dissipate accumulated heat
load [
63
], e.g., via increased respiration rate. However, the increase in maintenance energy requirements
does not adequately describe the total increase in energy requirements as it does not include the
energy costs associated with protein synthesis or hematological responses that occur outside normal
homeostasis [
66
,
67
]. Therefore, a voluntary reduction in DMI is not beneficial to animal performance
Animals 2019,9, 322 6 of 20
and wellbeing. However, the reduction in DMI is an important contributing factor to the maintenance
of core body temperature. Additionally, the eect of heat load on digestion and nutrient partitioning
cannot be completely explained by the reduction in DMI [
43
,
68
]. Therefore, these metabolic changes
can potentially become classified as a part of the acclimation and adaptation to hot environments,
where many of the changes in metabolic pathways are not yet defined and/or understood.
5.4. Body Temperature
During periods of hot weather, an increase in core body temperature becomes a function of
heat accumulated and dissipated between the animal and the environment [
69
]. Therefore changes
in body temperature can be considered to be a reliable indicator of heat storage and disrupted
homeostasis [
70
,
71
]. However, it is important to consider that body temperature is not static and
exhibits a circadian rhythm [72,73], although is generally regulated within a ±1C gradient [46].
Under thermoneutral conditions, the core body temperature of cattle is between 38
C to 38.5
C [
74
]
and a rectal temperature greater than 42
C is considered to be lethal [
75
]. Verwoerd et al. [
76
] concluded
that cattle were able to isolate their body temperature from the thermal environment during moderate
temperatures, however, when conditions become hot cattle are no longer able to cope with increasing
ambient conditions. Furthermore, Spiers et al. [
77
] indicated that rectal temperature of cattle increased
within 24 h after the onset of acute heat stress.
Under moderate conditions (18
±
7
C) the diurnal rhythm of body temperature has been suggested
to lag ambient conditions by 8 to 10 h, i.e., body temperature will peak 8 to 10 h after the ambient
temperature has peaked [
24
]. However, during heat wave events (32
±
7
C), the lag between body
temperature and ambient temperature decreases to 3 to 5 h [
24
]. This suggests that hot conditions
impede an animal’s capacity to remain in thermal equilibrium with its environment. This emphasizes
that when conditions exceed the thermoneutral zone there is a breakdown in the biological mechanisms
that regulate body temperature in bovines. Mehla et al., [
78
] indicated that as body temperature
increases towards 42
C there are numerous eects on bodily functions: (i) direct damage to cells where
there is an increase in membrane fluidity and permeability, (ii) an increase in the animal’s metabolic
rate, and (iii) a reduction in blood flow around the body [
78
]. Above 42
C homeostatic systems within
the body reach their upper critical limits for normal function [78], likely resulting in death.
5.5. Reproduction
Heat load has also been associated with impaired reproductive success in cattle. Some of the
negative impacts on reproduction can be associated with the increase in body temperature that occurs
during heat load. Declines in reproductive success are not isolated specifically to males or females
during periods of heat load. This is reflected by the numerous studies that have been conducted on the
impact of heat load on male and female reproduction in bovines and in other species, particularly sheep.
5.5.1. Impact on Males
Over the years, there has been an emphasis on the influence of heat load on male fertility and
the role that the scrotum plays in thermoregulation of the testicles. One consistent finding across
studies is that heat load, either via through scrotal insulation or whole body exposure, adversely
aects spermatogenesis and/or the viability of stored spermatozoa [
79
86
]. Furthermore, recovery
time from a single heat-related insult can be as long as eight weeks [
85
], however, recovery is likely
to encompass a full spermatogenesis cycle [
87
]. There have been no studies that have reported a
positive relationship between heat load and spermatogenesis. With the consequences of climate change
including predictions of more extreme weather events including heat waves as well as longer and
hotter summers, there is going to be the potential for increased incidences of heat load, thus thermal
insults on the scrotum. What has not yet been well defined is the ability of the scrotum to maintain
the optimal temperature for spermatogenesis during periods of heat load. Recently, studies have
evaluated scrotal temperature, and body temperature of Wagyu bulls, where scrotal temperatures were
Animals 2019,9, 322 7 of 20
remotely monitored whilst bulls were placed through a series of heat load regimes [
88
,
89
]. The findings
from these studies highlight that the mechanisms thought to maintain scrotal temperature start to
breakdown during periods of heat load [88,89].
5.5.2. Impact on Females
Heat load impairs numerous functions associated with establishing and maintaining pregnancy,
including altered follicular development and dominance patterns [
90
92
], corpus luteum regression [
90
],
impaired ovarian function [
93
], impaired oocyte quality and competence [
94
96
], embryonic
development [
97
,
98
], increased embryonic mortality and early fetal loss [
99
,
100
], endometrial
function [
101
], reduced uterine blood flow [
102
], and reduced expression of estrus and estrus behaviors,
i.e., mounting [
91
,
95
,
103
]. The impact of heat load on female reproduction may be more pronounced
in Bos taurus cows, however, this does not mean that there are no negative implications for Bos indicus
cows [95].
As heat load intensity increases there is a continuous decline in conception rates in lactating
cows [
91
,
104
]. Conception rates can be influenced by a heat load event during the month preceding
breeding to two weeks following breeding [
105
]. Heat load is also associated with smaller conceptus
size, which may influence maternal recognition of pregnancy and maintenance of corpus lutea
function [
99
]. Furthermore, heat load has been associated with compromising gestation during the
peri-implantation period, where there is an increased risk in early fetal loss between days 21 to 30 of
gestation [
94
]. This may be further confounded by a reduction in uterine blood flow, which may
also influence the availability of nutrients and hormones to the uterus [
102
]. However, as embryonic
development progresses, there is an increase in embryonic thermotolerance [97]. In conjunction with
climate change, it is probable that the impact of hot weather on reproduction may become more
pronounced. It has been suggested that some of the negative eects of heat load may be negated via
the use of mitigation techniques [
106
], however, Al-Katanani et al. [
96
] suggest that cooling cows for
42 days did not alleviate the impact of heat load on oocyte competence.
5.6. Health
Hot weather has a negative influence on animal bioenergetics, and as such has a negative influence
on animal performance, health, and well-being [
40
,
107
]. Heat load has been associated with an
increased incidence of nutrient deficiencies, respiratory alkalosis, ketosis, and ruminal acidosis [
108
].
Furthermore, in lactating dairy cows, heat load has been associated with an increased frequency and
incidence of clinical mastitis [
109
,
110
]. The health status of an animal is also likely to have a significant
influence on the animal’s ability to cope with heat load conditions. A study by Brown-Brandl et al. [
26
]
reported that animals with previous treatment history for pneumonia, anytime from birth to slaughter,
had respiration rates that were on average 10.5% higher compared to those never diagnosed or treated.
Similarly, previous and active health ailments have been reported to decrease average daily gains in
feedlot cattle [
26
,
111
]. The net eect of illness related fever and exposure to heat load conditions could
potentially result in an increased risk of mortality [
112
]. Animal health is also likely to be impacted
by disease-causing agents, including vectors and parasites that flourish during summer when the
conditions are hot and humid [108].
5.7. Productivity
During periods of high heat load, absorbable nutrients are diverted from growth and development
and directed towards maintaining body temperature [62,113].
5.7.1. Growth
Periods of heat stress are associated with reductions in growth, i.e., live weight gains [
114
] and
DMI [
40
,
55
]. As ambient heat load increases, cattle divert energy that is typically partitioned for
growth towards maintaining homeostasis [
71
,
108
], resulting in a reduction in growth and growth
Animals 2019,9, 322 8 of 20
eciency. For feedlot cattle, this diversion of energy is associated with depressed growth rates,
whereby heat-related decreases in weight gain are approximately 10 kg, which coincides with a
seven-day increase in days on feed [
62
]. There is considerable variability in average daily gains and
feed conversion across feedlot studies [
31
,
115
121
]. However, it is probable that these are reflective of
weather conditions and cattle management throughout these studies. Overall reduced growth rate
increases days on feed, thereby increasing the cost of production.
5.7.2. Milk Production and Composition
It is widely accepted that milk yields decline during hot weather [
108
,
122
125
].
Ambient temperatures of 29
C have been reported to reduce milk yield of dairy cows by 23% [
77
].
Additionally, it has been estimated that the energy requirement of the cow is 20% greater at 35
C when
compared with the energy requirements at 20
C [
126
]. Reductions in milk yield during heat load are
predominantly associated with reduced DMI [
127
]. However, only 35% to 50% of the reduction in
milk yield can be accounted for via the decrease in DMI [
43
,
68
]. Heat load is considered to have a
greater impact on high production cows [
42
,
126
]. This is not unexpected given the positive correlation
between increased milk yield, feed intake and metabolic heat production [
108
]. Purwanto et al. [
128
]
concluded that cows with milk yields of 18.5 kg/d and 31.6 kg/d had 27.3% and 48.5% greater metabolic
heat production (kJ/kgW
0.75
per h) when compared to dry cows. Another important consideration
is that the impact of heat stress conditions may have prolonged eects. A reduced milk yield may
be seen well after the heat load period has abated. Milk production may not return to pre-exposure
production levels as the energy deficit experienced combined with a decline in body condition score
cannot be compensated for, particularly in the high producing cow, resulting in a permanent reduction
in milk production for the remainder of that lactation [
127
]. This reduction in milk yield is directly
proportional to the length and severity of the heat load experienced and how adversely individual
cows were impacted by the heat load [127].
Heat load also has a negative association with milk fat and protein composition [
129
].
Climatic conditions appear to have the most influence on milk composition during the first 60 days of
lactation [
123
,
130
]. Furthermore, the stage of lactation, diet type and composition, health status of the
cow, cow genetics, and climatic conditions are all drivers of variation in milk protein [
129
,
131
].
Protein composition is further influenced by the protein secretion of the individual cow [
132
].
However, numerous authors have reported a negative relationship between heat load and milk
fat [
125
,
129
,
130
,
133
139
] and protein composition [
125
,
129
,
135
,
136
,
138
140
]. Garner et al. [
139
] found
that cows exposed to heat produced milk with a lactose and protein composition 49% lower than
thermoneutral control cows. These findings suggest that milk fat and protein composition is variable,
a portion of this variability can be contributed to climatic conditions. However, it is important to
consider that variations in milk composition are also related to genetic and nutritional factors [
141
,
142
].
5.7.3. Dark Cutting Beef
To date, there have been limited studies investigating the influence of hot and cold conditions on
carcass characteristics, meat quality or consumer acceptance. Anecdotally, Australian feedlots have
reported an increased incidence of “dark cutting” during the summer months, attributing this increased
incidence to heat load. Dark cutting, is a complex multifactorial problem that is influenced by numerous
pre-slaughter stress factors. Dark cutting is generally attributed to low muscle glycogen stores at
slaughter, which is predominantly a function of glycogenesis [
143
]. Muscle glycogen depletion has
been associated with numerous factors including, but not limited, to nutritional status, particularly in
grazing systems [
144
,
145
], water supply and quality [
143
], animal temperament [
145
,
146
], sex [
145
,
146
],
climatic conditions and climatic variability [
147
], and hormone growth promotants, however, this may
be confounded by sex [
148
]. Furthermore, periods of heat load are associated with a decrease in feed
intake [
40
,
50
,
55
,
149
]. This reduction in feed intake and whole-body exposure to stressors which may
result in lower muscle glycogen. Managing muscle glycogen is crucial to minimizing the incidence of
Animals 2019,9, 322 9 of 20
dark cutting beef. Further studies are required to examine the relationship between carcass attributes
and climatic conditions in cattle. Furthermore, the influence of environmental conditions and/or time
of exposure to these conditions on the incidence of dark cutting is yet to be established.
6. Mitigation Opportunities
The provision of alleviation strategies is paramount in supporting the animals to achieve comfort
and production goals. Heat load alleviation strategies are focused on reducing the impact of the thermal
environment and facilitate the ability to maintain normal body temperature [
150
] and ultimately
homeostasis. The use of cooling mechanisms is encouraged and reduces the impact of environmental
conditions on productive performance [
122
]. Heat loss is achieved through conduction, convection,
and radiation. However, all of these mechanisms are dependent on a thermal gradient [
42
]. As ambient
temperature increases there is a shift in the cooling mechanisms utilized by animals, i.e., transitioning
from non-evaporative cooling to evaporative heat loss [42].
Traditionally, strategies for mitigating of heat load have involved environmental modification
where the focus has been on (i) reducing solar radiation and (ii) increasing air movement [
39
].
However, there have also been studies investigating wetting cattle [
151
]. A study by Gaughan et al. [
152
]
investigated the influence of day and night cooling, through the use of water application and air
movement, on managing heat load as determined by changes in rectal temperature, respiration
rate, and DMI. Gaughan et al. [
152
] concluded that actively cooling cattle after maximum ambient
temperature occurred, was more eective at cooling cattle when compared to animals that were cooled
when ambient temperature was at its peak. Cattle that were cooled during peak ambient temperature
have been suddenly exposed to hot conditions, resulting in a rapid accumulation of body heat as these
cattle had not been required to initiate normal physiological responses to cope with heat load whilst
being actively cooled [151].
Whilst not covered in substantial detail here, the implementation of mitigation strategies will
become increasingly important in livestock production systems. There are numerous mitigation
opportunities available to producers, however, here an emphasis has been placed on (i) shade
structures, (ii) nutritional management, and (iii) genetics and genomic selection. Shade structures
are predominantly implemented in commercial industries globally, as they are cost eective and
relatively simplistic to implement. Nutritional strategies are becoming more prominent in research,
particularly in light of antibiotic resistance. Whilst it is well understood that genetics has an integral
role in thermotolerance, the genomic selection of livestock for heat tolerance is an emerging field of
study. Mitigation opportunities need to be evaluated for individual livestock systems to ensure that
the alleviation strategies implemented become an eective management tool for reducing the impact
of heat load in that particular enterprise.
6.1. Shade Structures
It has been well established that the provision of shade is an advantageous heat load alleviation
tool for lactating dairy cows [
28
,
114
,
151
,
153
160
]. The provision of shade structures reduces exposure
to direct solar radiation. However, shade structures do not alter ambient temperature or relative
humidity [
28
,
159
,
161
]. Shaded areas can reduce the radiant heat load of an animal by 30%, by simply
blocking out the sun [
162
]. Roman-Ponce et al. [
163
] showed that providing shade reduced black
globe temperature by approximately 8
C. Therefore, providing shade for cattle presents a cooler
microclimate that cattle can utilize to seek relief from hot weather [
114
]. However, the beneficial aspects
of shade structures, i.e., reduced exposure to solar radiation, may be oset by a lack of air movement
under the structure itself [161].
The benefits associated with the use of shade structures during hot ambient conditions have been
of interest for many years [
40
]. The advantage of shade structures is that the application is passive,
where animals are able to utilize shaded areas voluntarily [
39
]. Schütz et al. [
153
] suggested that cows
preferred shade on days where ambient temperatures were
30
C. The authors also noted that shade
Animals 2019,9, 322 10 of 20
utilization was reduced when relative humidity was
55% [
153
]. Furthermore, Schütz et al. [
155
]
reported that cows preferred shade that blocked out a higher proportion of solar radiation.
What remains clear is that as heat load increases, shade seeking behaviors also increase [
155
].
Entwistle et al. [
22
] reported that during a heat wave shade reduced the impact of severe conditions on
excessive heat load related deaths, whereas unshaded pens had a higher, 5.8%, mortality rate compared
with shaded pens, 0.2%. Schütz et al. [
156
] described that as heat stress conditions intensify there is an
increase in competition for shade between cows. However, there is also some conjecture regarding the
amount of shade, m2/animal, required to oset the impact of heat load.
6.2. Nutrition
Nutritional management strategies for cattle during hot conditions are focused on using (i) high
energy diets [
152
,
164
], (ii) feed additives such as betaine
[165167]
, probiotic yeast supplements
[168171]
,
and antioxidants [
172
], (iii) managing the proportion of roughage in the diet [
173
] and (iv) altering feeding
time to reduce metabolic heat loads during the hottest hours of the day [
174
]. However, there is considerable
variability in the success of these techniques during heat load. Further studies are required to ensure the
appropriateness of nutritional supplements as a heat load mitigation tool.
6.3. Genetics
An animal’s genotype is a major factor contributing to its susceptibility or tolerance to heat load.
It is widely acknowledged that Bos indicus breeds have greater heat tolerance compared to Bos taurus
breeds. Gaughan et al. [
29
] indicated that the identification of heat tolerant cattle is not a new concept,
as many breeds are already known for their thermal tolerance, i.e., Brahman and other Bos indicus
breeds [
25
]. Additionally, there are Bos taurus genotypes that are considered tropically adapted and
able to cope with hot weather. However, it is important to consider that the ability of heat tolerant Bos
taurus genotypes to cope with hot weather does not compare to animals of Bos indicus heritage [175].
Further consideration needs to be extended to the selection of breeding animals. Performance-based
selection of livestock has been used for numerous decades, i.e., selection of breeding stock based on
the phenotypic performance of economically important traits such as high growth rates. In future
years, producers will continue to select replacement breeding stock based on individual performances
for traits that are deemed economically important. Rhoades et al. [
176
] suggested that whilst genetic
improvement programs continue to place emphasis on these economically important traits, there is the
potential that this will decrease thermotolerance due to the relationship that is observed between animal
productivity and increasing metabolic heat production. This increase in metabolic heat production
typically reduces the thermoneutral zone of these animals, and in conjunction with climate change
may present some diculty in managing cattle during hot weather.
6.4. Genomic Selection for Heat Tolerance
Recently, there have been studies investigating the potential for genomic selection for heat tolerance
in dairy cattle [
177
180
]. Genomic selection for heat tolerance has the potential to have cumulative and
permanent eects [
178
], on heat tolerance in production species. Whilst research in this area continues
to develop, the commercial viability of selection for heat tolerance needs to be evaluated. It is also
important to consider that the selection for one trait may have negative consequences for another trait.
It is generally accepted that improved heat tolerance comes at the cost of growth and reproduction [
29
].
However, there remains some conjecture regarding this, S
á
nchez et al. [
181
] suggested that cows
with higher heat tolerance would have a lower rate of decline in production, although cows that are
considered as ‘low production’ cows do not exhibit as severe declines in production [
182
], therefore
may be classified as thermotolerant. However, it is more likely that this thermotolerance is related to
the proportion of heat dissipation required by high production cows. It is known that high production
cows produce a greater proportion of metabolic heat. Cows with milk yields of 18.5 kg/d and 31.6 kg/d
had 27.3% and 48.5% greater metabolic heat production (kJ/kgW
0.75
per h) when compared to dry
Animals 2019,9, 322 11 of 20
cows [
128
]. Thus, high producing cows may be more susceptible to hot weather, regardless of genomic
selection. Furthermore, it is unclear if declines in milk production provide the ‘best’ evaluation of
heat tolerance in dairy cows. Other measures such as evaluation of body temperature may be a
more reliable estimate of heat tolerance. Some consideration must also be extended to the impact of
epigenetic mechanisms that regulate thermotolerance as well as understanding of transgenerational
eects [
183
,
184
]. Recently, there have been studies attempting to quantify epigenetic change in cattle
populations [184188].
7. Adaptation and Acclimation
It is important to consider that all animals possess the capacity to adapt to their thermal
environment. Animals are capable of modifying their behavioral, physiological, and morphological,
or a combination of these, characteristics in response to the thermal environment [
7
]. Thus all animals
have developed survival techniques that minimize the eect that heat load has on the body as a whole.
The coping mechanisms developed by animals can be summarized into adaptation and acclimation.
Adaptation and acclimation have dierent meanings, however, they are often interchanged [21].
7.1. Acclimation
Acclimation is a homeostatic process that is driven by the endocrine system, resulting in cellular,
metabolic, and systemic changes, enabling animals to respond and cope with thermal stressors.
Acclimation can be separated into (i) developmental and (ii) reversible [
7
]. Developmental acclimation
refers to irreversible changes, and reversible acclimation refers to regulated animal responses, i.e., changes
in response to the changing seasons [
7
], such as changing coat characteristics. Therefore, acclimation can
be considered as a within a lifetime process whereby continuous exposure to a particular stressor, i.e.,
hot weather, results in biological adjustments thereby increasing the fitness of that individual animal to
survive in those conditions [
189
]. Horowitz [
189
] also indicated that a part of the acclimation response is a
widening in the dynamic range of body temperature, resulting in greater shifts in upper and lower critical
temperature. Hahn and Mader [
24
] reported that cattle appear to be acclimating when post heat wave
body temperature transitioned and stabilized around a new elevated temperature. Changing the dynamic
range in body temperature will have a positive influence on the regulation of body temperature through
adjustments to heat accumulation and dissipation from the body.
7.2. Adaptation
Adaptation refers to the biological change in successive generations by favoring genetic selection
within a population due to continuous stressor exposure that supports species survival [
190
]. Bos indicus
cattle evolved in tropical regions, with high ambient temperature and relative humidity and as a result,
these breeds of cattle have a number of genetic dierences that support thermotolerance [
190
,
191
].
Therefore, the survivability of Bos indicus breeds in tropical environments arises from the adaptations
developed throughout successive generations. In grazing breeding herds there is the potential that
climate change will be a driver for the ‘natural’ selection for heat tolerant cattle, regardless of selection
pressures placed on the population. The adaptation of successive generations has the potential to
enhance the progeny’s ability to cope with hot conditions, although this is somewhat dicult to define
in bovines due to long generation intervals. When acclimation and adaptation occur, they provide a
level of resilience within cattle populations. Furthermore, in conjunction with the use of mitigation
opportunities, acclimation and adaptation have the potential to enhance cattle welfare and productivity
during periods of heat load.
8. Conclusions
Climatic conditions are an important regulator in agricultural production systems worldwide.
For livestock production, climate change has the potential to alter the thermal environment, which may
have a negative impact on welfare and productivity. It is clearly evident that the thermal environment
Animals 2019,9, 322 12 of 20
has an influence on the wellbeing and productivity of bovines. Regardless of climate change and the
predicted changes to the thermal environment, hot weather will continue to incite heat load responses
in cattle worldwide. Therefore, it is imperative that livestock production systems identify and utilize
mitigation strategies that are ecient and eective at reducing heat load. In future years, an integrated
approach to the adoption and management of mitigation opportunities will become increasingly
important to support the sustainability of livestock production systems.
In anticipation of climate change and climate variability, there is a need to develop a greater
understanding of the impact global warming is likely to have on biological parameters in cattle [
12
].
However, this may be somewhat misleading as there is a level of uncertainty in the climate change
predictions and what effect the changes will have on livestock in the coming decades. A more achievable
objective may be to identify and establish effective management strategies for livestock under suboptimal
conditions, rather than selection for maximum productivity and/or adaptability [
8
]. Furthermore, there
is a need to accurately quantify the indirect effects of climate change on livestock enterprises, such as
changing soil quality, water availability, grain, and pasture resources, and the changing distribution of
diseases and pathogens [
9
,
12
]. Developing a comprehensive understanding of the factors that influence
heat load, including climatic, environmental, and animal, will allow for innovative mitigation strategies to
be established. Enhancing mitigation strategies provides an opportunity for the continual improvement of
animal welfare and productivity during periods of heat load.
Author Contributions:
This review was conceptualized by J.B.G. and A.M.L., V.S., J.C.L., A.L.W., C.C.S., and T.L.M.
wrote sections of the review, contributing to the original draft. All authors contributed to reviewing of the final
draft, however, J.B.G., J.C.L., and A.M.L. conducted the final review and edited the manuscript prior to submission.
Funding: No external funding was received to prepare this review.
Conflicts of Interest: The authors declare no conflict of interest.
References
1.
Ames, D. Thermal Environment Aects Production Eciency of Livestock. BioScience
1980
,30, 457–460.
[CrossRef]
2.
Mader, T.L.; Grin, D. Management of Cattle Exposed to Adverse Environmental Conditions. Vet. Clin. N.
Am. Food Anim. Pract. 2015,31, 247–258. [CrossRef] [PubMed]
3.
Belasco, E.J.; Cheng, Y.; Schroeder, T.C. The impact of extreme weather on cattle feeding profits. J. Agric.
Resour. Econ. 2015,40, 285–305.
4.
St-Pierre, N.R.; Cobanov, B.; Schnitkey, G. Economic Losses from Heat Stress by US Livestock Industries.
J. Dairy Sci. 2003,86, E52–E77. [CrossRef]
5.
Sackett, D.; Holmes, P.; Abbot, K.; Jephcott, S.; Barber, M. Assessing the Economic Cost of Endemic Disease on the
Profitability of Australian Beef Cattle and Sheep Producers; MLA Final Report AHW.087; Meat and Livestock
Australia: Sydney, Australia, 2006.
6.
Sejian, V.; Bhatta, R.; Soren, N.M.; Malik, P.K.; Ravindra, J.P.; Prasad, C.; Lal, R. Introduction to Concepts
of Climate Change Impact on Livestock and Its Adaptation and Mitigation. In Climate Change Impact on
Livestock: Adaptation and Mitigation; Sejian, V., Gaughan, J., Baumgard, L., Prasad, C., Eds.; Springer: New
Delhi, India, 2015; pp. 1–23. [CrossRef]
7.
Angilletta, M.J., Jr. Thermal Acclimation. In Thermal Adaptation: A Theoretical and Empirical Synthesis; Oxford
University Press Inc.: New York, NY, USA, 2009; pp. 127–156.
8.
Gaughan, J.; Cawdell-Smith, A.J. Impact of Climate Change on Livestock Production and Reproduction.
In Climate Change Impact on Livestock: Adaptation and Mitigation; Sejian, V., Gaughan, J., Baumgard, L.,
Prasad, C., Eds.; Springer: New Delhi, India, 2015; Volume 4, pp. 51–60. [CrossRef]
9.
Nardone, A.; Ronchi, B.; Lacetera, N.; Ranieri, M.S.; Bernabucci, U. Eects of climate changes on animal
production and sustainability of livestock systems. Livest. Sci. 2010,130, 57–69. [CrossRef]
10.
Nidumolu, U.; Crimp, S.; Gobbett, D.; Laing, A.; Howden, M.; Little, S. Spatio-temporal modelling of heat
stress and climate change implications for the Murray dairy region, Australia. Int. J. Biometeorol.
2014
,58,
1095–1108. [CrossRef] [PubMed]
Animals 2019,9, 322 13 of 20
11.
Hennessey, K.; Fitzharris, B.; Bates, B.C.; Harvey, N.; Howden, S.M.; Hughes, L.; Salinger, J.; Warrick, R.
Australia and New Zealand. In Climate Change 2007: Impacts, Adaptation, Vulnerability. Contribution of
Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; Parry, M.L.,
Canziani, O.F., Palutikof, J.P., van der Linden, P.J., Hanson, C.E., Eds.; Cambride University Press: Cambridge,
UK, 2007; pp. 507–540.
12.
Henry, B.; Charmley, E.; Eckard, R.; Gaughan, J.B.; Hegarty, R. Livestock production in a changing climate:
Adaptation and mitigation research in Australia. Crop Pasture Sci. 2012,63, 191–202. [CrossRef]
13.
Nienaber, J.A.; Hahn, G.L.; Brown-Brandl, T.M.; Eigenberg, R.A. Summer Heat Waves—Extreme Years.
In Proceedings of the ASABE Annual International Meeting, Minneapolis, Minnesota, 17–20 June 2007.
14.
Mader, T.L.; Gaughan, J.B.; Johnson, L.J.; Hahn, G.L. Tympanic temperature in confined beef cattle exposed
to excessive heat load. Int. J. Biometeorol. 2010,54, 629–635. [CrossRef]
15.
Solomon, S.; Qin, D.; Manning, M.; Marquis, M.; Averyt, K.; Tignore, M.M.B. (Eds.) Climate Change 2007: The
Physical Science Basis; Cambridge University Press: New York, NY, USA, 2007.
16.
Westcott, N.E. The Prolonged 1954 Midwestern, U.S. Heat Wave: Impacts and Responses. Weather. Clim. Soc.
2011,3, 165–176. [CrossRef]
17. Robinson, P.J. On the Definition of a Heat Wave. J. Appl. Meteorol. 2001,40, 762–775. [CrossRef]
18. Mader, T.L. Environmental stress in confined beef cattle. J. Anim. Sci. 2003,81, E110–E119.
19.
Blackshaw, J.; Blackshaw, A. Heat stress in cattle and the eect of shade on production and behaviour: A
review. Aust. J. Exp. Agric. 1994,34, 285–295. [CrossRef]
20.
Hahn, G.L. Dynamic Responses of Cattle to Thermal Heat Loads. J. Anim. Sci.
1999
,77 (Suppl. 2), 10–20.
[CrossRef]
21.
Gaughan, J.B. Respiration Rate and Rectal Temperature Responses of Feedlot Cattle in Dynamic, Thermally Challenging
Environments; The University of Queensland Gatton: Queensland, Australia, 2002.
22.
Entwistle, K.; Rose, M.; McKiernan, B. Mortalities in Feedlot Cattle at Prime City Feedlot, Tabbita, NSW, February
2000; NSW Agriculture Sydney: Sydney, Australia, 2000.
23.
Bushby, D.; Loy, D. Heat Stress in Feedlot Cattle: Producer Survey Results. Beef Research Report, 1996. Paper 26.
1997. Available online: http://lib.dr.iastate.edu/beefreports_1996/1926 (accessed on 6 March 2014).
24.
Hahn, G.L.; Mader, T.L. Heat Waves in Relation to Thermoregulation, Feeding Behaviour and Mortality of
Feedlot Cattle. In Livestock Environment V, Proceedings of the Fifth International Symposium; Bottcher, R.W.,
Ho, S.J., Eds.; American Society of Agricultural Engineers: St. Joseph, MI, USA, 1997; Volume I, pp. 563–571.
25.
Brown-Brandl, T.M.; Nienaber, J.A.; Eigenberg, R.A.; Mader, T.L.; Morrow, J.L.; Dailey, J.W. Comparison of
heat tolerance of feedlot heifers of dierent breeds. Livest. Sci. 2006,105, 19–26. [CrossRef]
26.
Brown-Brandl, T.M.; Eigenberg, R.A.; Nienaber, J.A. Heat stress risk factors of feedlot heifers. Livest. Sci.
2006,105, 57–68. [CrossRef]
27.
Associated Press. Thousands of Cows Die in California Heat Wave; Disposing Them Becomes a Problem.
Available online: https://www.latimes.com/local/lanow/la-me-cattle-deaths-20170708-story.html (accessed
on 12 April 2019).
28.
Bungton, D.; Collazo-Arocho, A.; Canton, G.; Pitt, D.; Thatcher, W.; Collier, R. Black Globe-Humidity Index
(BGHI) as a Comfort Equation for Dairy Cows. Trans. Am. Soc. Agric. Eng. 1981,27, 711–714. [CrossRef]
29.
Gaughan, J.B.; Mader, T.L.; Holt, S.M.; Sullivan, M.L.; Hahn, G.L. Assessing the heat tolerance of 17 beef
cattle genotypes. Int. J. Biometeorol. 2010,54, 617–627. [CrossRef]
30.
Sejian, V.; Bhatta, R.; Gaughan, J.B.; Dunshea, F.R.; Lacetera, N. Review: Adaptation of animals to heat stress.
Animal 2018,12, s431–s444. [CrossRef]
31.
Gaughan, J.; Kreikemeier, W.; Mader, T. Hormonal growth-promotant eects on grain-fed cattle maintained
under dierent environments. Int. J. Biometeorol. 2005,49, 396–402. [CrossRef]
32.
Sejian, V.; Kumar, D.; Gaughan, J.B.; Naqvi, S.M.K. Eect of multiple environmental stressors on the adaptive
capability of Malpura rams based on physiological responses in a semi-arid tropical environment. J. Vet.
Behav. Clin. Appl. Res. 2017,17, 6–13. [CrossRef]
33.
Sejian, V.; Maurya, V.P.; Naqvi, S.M. Eect of walking stress on growth, physiological adaptability and
endocrine responses in Malpura ewes in a semi-arid tropical environment. Int. J. Biometeorol.
2012
,56,
243–252. [CrossRef]
Animals 2019,9, 322 14 of 20
34.
Sejian, V.; Maurya, V.P.; Naqvi, S.M.K. Eect of thermal stress, restricted feeding and combined stresses
(thermal stress and restricted feeding) on growth and plasma reproductive hormone levels of Malpura ewes
under semi-arid tropical environment. J. Anim. Physiol. Anim. Nutr. 2011,95, 252–258. [CrossRef]
35.
Shilja, S.; Sejian, V.; Bagath, M.; Mech, A.; David, C.; Kurien, E.; Varma, G.; Bhatta, R. Adaptive capability
as indicated by behavioral and physiological responses, plasma HSP70 level, and PBMC HSP70 mRNA
expression in Osmanabadi goats subjected to combined (heat and nutritional) stressors. Int. J. Biometeorol.
2016,60, 1311–1323. [CrossRef]
36.
Kumar, D.; Sejian, V.; Gaughan, J.B.; Naqvi, S.M.K. Biological functions as aected by summer season-related
multiple environmental stressors (heat, nutritional and walking stress) in Malpura rams under semi-arid
tropical environment. Biol. Rhythm Res. 2017,48, 593–606. [CrossRef]
37.
Abdul Niyas, P.; Sejian, V.; Bagath, M.; Parthipan, S.; Selvaraju, S.; Manjunathareddy, G.; Kurien, E.;
Varma, G.; Bhatta, R. Eect of heat and nutritional stress on growth and testicular HSP70 expression in goats.
J. Agrometeorol. 2017,19, 189–194.
38.
Sejian, V.; Maurya, V.P.; Kumar, K.; Naqvi, S.M.K. Eect of multiple stresses on growth and adaptive
capability of Malpura ewes under semi-arid tropical environment. Trop. Anim. Health Prod.
2012
,45, 107–116.
[CrossRef]
39.
Eigenberg, R.A.; Brown-Brandl, T.M.; Nienaber, J.A.; Hahn, G.L. Dynamic Response Indicators of Heat Stress
in Shaded and Non-shaded Feedlot Cattle, Part 2: Predictive Relationships. Biosyst. Eng. 2005,91, 111–118.
[CrossRef]
40.
Brown-Brandl, T.M.; Eigenberg, R.A.; Nienaber, J.A.; Hahn, G.L. Dynamic Response Indicators of Heat Stress
in Shaded and Non-shaded Feedlot Cattle, Part 1: Analyses of Indicators. Biosyst. Eng.
2005
,90, 451–462.
[CrossRef]
41. Jordan, E.R. Eects of Heat Stress on Reproduction. J. Dairy Sci. 2003,86, E104–E114. [CrossRef]
42. West, J.W. Eects of Heat-Stress on Production in Dairy Cattle. J. Dairy Sci. 2003,86, 2131–2144. [CrossRef]
43.
Rhoads, M.L.; Rhoads, R.P.; VanBaale, M.J.; Collier, R.J.; Sanders, S.R.; Weber, W.J.; Crooker, B.A.;
Baumgard, L.H. Eects of heat stress and plane of nutrition on lactating Holstein cows: I.
Production, metabolism, and aspects of circulating somatotropin. J. Dairy Sci.
2009
,92, 1986–1997.
[CrossRef]
44.
Gaughan, J.B.; Holt, S.M.; Hahn, G.L.; Mader, T.L.; Eigenberg, R.A. Respiration Rate—Is It a Good Measure
of Heat Stress in Cattle. Asian-Australas J. Anim. Sci. 2000,13, 329–332.
45.
Mader, T.L.; Davis, M.S.; Brown-Brandl, T.M. Environmental factors influencing heat stress in feedlot cattle.
J. Anim. Sci. 2006,84, 712–719. [CrossRef]
46.
Robertshaw, D. Heat Loss of Cattle. In Stress Physiology in Livestock; Yousef, M.K., Ed.; CRC Press Inc.: Baco
Raton, FL, USA, 1985; Volume I, pp. 55–66.
47.
Young, B.A.; Hall, A.B. Heat load in cattle in the Australian Environment. In Australian Beef ; Coombes, R.,
Ed.; Morescope Publishing: Melbourne, Australia, 1993.
48.
Collier, R.J.; Collier, J.L.; Rhoads, R.P.; Baumgard, L.H. Invited Review: Genes Involved in the Bovine Heat
Stress Response. J. Dairy Sci. 2008,91, 445–454. [CrossRef]
49.
Nienaber, J.A.; Hahn, G.L.; Brown-Brandl, T.M.; Eigenberg, R.A. Heat stress climatic conditions and the
physiological responses of cattle. In Proceedings of the Fifth International Dairy Housing, Fort Worth, TX,
USA, 29–31 January 2003; pp. 255–262.
50.
Brown-Brandl, T.M.; Nienaber, J.A.; Eigenberg, R.A.; Hahn, G.L.; Freetly, H. Thermoregulatory responses of
feeder cattle. J. Therm. Biol. 2003,28, 149–157. [CrossRef]
51.
Beatty, D.T.; Barnes, A.; Taylor, E.; Maloney, S.K. Do changes in feed intake or ambient temperature cause
changes in cattle rumen temperature relative to core temperature? J. Therm. Biol.
2008
,33, 12–19. [CrossRef]
52.
Czerkawski, J.W. A novel estimate of the magnitude of heat produced in the rumen. Br. J. Nutr.
1980
,42,
239–243. [CrossRef]
53.
Ray, D.E.; Roubicek, C.B. Behavior of feedlot cattle during two seasons. J. Anim. Sci.
1971
,33, 72–76.
[CrossRef]
54.
Hicks, R.; Owens, F.; Gill, D. Behavioral Patterns of Feedlot Steers; Oklahoma State University Animal Science
Research Report, MP-127; Oklahoma State University: Stillwater, MN, USA, 1989; pp. 94–105.
55.
Beede, D.K.; Collier, R.J. Potential Nutritional Strategies for Intensively Managed Cattle during Thermal
Stress. J. Anim. Sci. 1986,62, 543–554. [CrossRef]
Animals 2019,9, 322 15 of 20
56.
NRC. Eect of Environment on Nutrient Requirements of Domestic Animals; National Academy Press: Washington,
DC, USA, 1981.
57.
Arias, R.A.; Mader, T.L. Environmental factors aecting daily water intake on cattle finished in feedlots.
J. Anim. Sci. 2011,89, 245–251. [CrossRef]
58. NRC. Nutrient Requirements of Beef Cattle; National Research Council: Washington, DC, USA, 2000.
59.
McDowell, R.E.; Weldy, J.R. Water Exhcange of cattle under heat stress. In Proceedings of the 3rd International
Biometeorological Congress, London, UK, 1967; pp. 414–424.
60.
Black, A.L.; Baker, N.F.; Bartley, J.C.; Chapman, T.E.; Phillips, R.W. Water Turnover in Cattle. Science
1964
,
144, 876–878. [CrossRef]
61.
Silanikove, N. Eects of water scarcity and hot environment on appetite and digestion in ruminants: A review.
Livest. Prod. Sci. 1992,30, 175–194. [CrossRef]
62.
Baumgard, L.H.; Rhoads, R.P. RUMINANT NUTRITION SYMPOSIUM: Ruminant Production and Metabolic
Responses to Heat Stress. J. Anim. Sci. 2012,90, 1855–1865. [CrossRef]
63.
Baumgard, L.H.; Rhoads, R.P. The Eects of Hyperthermia on Nutrient Paritioning. Available online:
https://www.sid.ir/En/Journal/ViewPaper.aspx?ID=352520 (accessed on 1 October 2012).
64.
Engelhardt, W.V.; Hales, J.R.S. Partition of capillary blood flow in rumen, reticulum, and omasum of sheep.
Am. J. Physiol. 1977,232, E53–E56. [CrossRef]
65. NRC. Nutrient Requirements of Beef Cattle; National Research Council: Washington, DC, USA, 2001.
66.
Carroll, J.A.; Burdick Sanchez, N.C.; Bill, E. Kunkle Interdisciplinary Beef Symposium: Overlapping
physiological responses and endocrine biomarkers that are indicative of stress responsiveness and immune
function in beef cattle. J. Anim. Sci. 2014,92, 5311–5318. [CrossRef]
67.
Baumgard, L.H.; Rhoads, R.P. Eects of Heat Stress on Postabsorptive Metabolism and Energetics. Annu. Rev.
Anim. Biosci. 2013,1, 311–337. [CrossRef]
68.
Wheelock, J.B.; Rhoads, R.P.; VanBaale, M.J.; Sanders, S.R.; Baumgard, L.H. Eects of heat stress on energetic
metabolism in lactating Holstein cows. J. Dairy Sci. 2010,93, 644–655. [CrossRef]
69.
Lees, A.M.; Sejian, V.; Lees, J.C.; Sullivan, M.L.; Lisle, A.T.; Gaughan, J.B. Evaluating rumen temperature
as an estimate of core body temperature in Angus feedlot cattle during summer. Int. J. Biometeorol.
2019
.
[CrossRef]
70.
Maurya, V.P.; Sejian, V.; Gupta, M.; Dangi, S.S.; Kushwaha, A.; Singh, G.; Sarkar, M. Adaptive Mechanisms of
Livestock to Changing Climate. In Climate Change Impact on Livestock: Adaptation and Mitigation; Sejian, V.,
Gaughan, J., Baumgard, L., Prasad, C., Eds.; Springer: New Delhi, India, 2015; Volume 9, pp. 123–138.
[CrossRef]
71.
Ravagnolo, O.; Misztal, I. Eect of Heat Stress on Nonreturn Rate in Holsteins: Fixed-Model Analyses.
J. Dairy Sci. 2002,85, 3101–3106. [CrossRef]
72.
Bitman, J.; Lefcourt, A.; Wood, D.L.; Stroud, B. Circadian and Ultradian Temperature Rhythms of Lactating
Dairy Cows. J. Dairy Sci. 1984,67, 1014–1023. [CrossRef]
73.
Lefcourt, A.M.; Huntington, J.B.; Akers, R.M.; Wood, D.L.; Bitman, J. Circadian and ultradian rhythms
of body temperature and peripheral concentrations of insulin and nitrogen in lactating dairy cows.
Domest. Anim. Endocrinol. 1999,16, 41–55. [CrossRef]
74.
Sjaastad, O.V.; Hove, K.; Sand, O. Physiology of Domestic Animals; Scandinavian Veterinary Press: Olso,
Norway, 2003.
75.
Findlay, J.D. Physiological Reactions of Cattle to Climatic Stress. Proc. Nutr. Soc.
1958
,17, 186–190. [CrossRef]
76.
Verwoerd, W.; Wellby, M.; Barrell, G. Absence of a causal relationship between environmental and body
temperature in dairy cows (Bos taurus) under moderate climatic conditions. J. Therm. Biol.
2006
,31, 533–540.
[CrossRef]
77.
Spiers, D.E.; Spain, J.N.; Sampson, J.D.; Rhoads, R.P. Use of physiological parameters to predict milk yield
and feed intake in heat-stressed dairy cows. J. Therm. Biol. 2004,29, 759–764. [CrossRef]
78.
Mehla, K.; Magotra, A.; Choudhary, J.; Singh, A.K.; Mohanty, A.K.; Upadhyay, R.C.; Srinivasan, S.; Gupta, P.;
Choudhary, N.; Antony, B.; et al. Genome-wide analysis of the heat stress response in Zebu (Sahiwal) cattle.
Gene 2014,533, 500–507. [CrossRef]
79.
Casady, R.B.; Myers, R.M.; Legates, J.E. The Eect of Exposure to High Ambient Temperature on
Spermatogenesis in the Dairy Bull. J. Dairy Sci. 1953,36, 14–23. [CrossRef]
Animals 2019,9, 322 16 of 20
80.
Johnston, J.E.; Naelapaa, H.; Frye, J.B., Jr. Physiological Responses of Holstein, Brown Swiss and Red Sindhi
Crossbred Bulls Exposed to High Temperatures and Humidities. J. Anim. Sci.
1963
,22, 432–436. [CrossRef]
81.
Kastelic, J.; Cook, R.B.; Coulter, G.H. Contribution of the scrotum and testes to scrotal and testicular
thermoregulation in bulls and rams. Reproduction 1996,108, 81–85. [CrossRef]
82.
Kastelic, J.P.; Cook, R.B.; Coulter, G.H.; Saacke, R.G. Insulating the scrotal neck aects semen quality and
scrotal/testicular temperatures in the bull. Theriogenology 1996,45, 935–942. [CrossRef]
83.
Meyerhoeer, D.C.; Wells, M.E.; Wettemann, R.P.; Coleman, S.W. Reproductive Criteria of Beef Bulls during
and after Exposure to Increased Ambient Temperature. J. Anim. Sci. 1985,60, 352–357. [CrossRef]
84.
Meyerhoeer, D.C.; Turman, E.J.; Minton, J.E.; Hintz, R.L.; Wettemann, R.P. Serum Luteinizing Hormone and
Testosterone in Bulls during Exposure to Elevated Ambient Temperature. J. Anim. Sci.
1981
,53, 1551–1558.
[CrossRef]
85.
Skinner, J.D.; Louw, G.N. Heat stress and spermatogenesis in Bos indicus and Bos taurus cattle. J. Appl. Physiol.
1966,21, 1784–1790. [CrossRef]
86.
Vogler, C.J.; Bame, J.H.; DeJarnette, J.M.; McGilliard, M.L.; Saacke, R.G. Eects of elevated testicular
temperature on morphology characteristics of ejaculated spermatozoa in the bovine. Theriogenology
1993
,40,
1207–1219. [CrossRef]
87.
Cruz J
ú
nior, C.A.; Lucci, C.M.; Peripolli, V.; Silva, A.F.; Menezes, A.M.; Morais, S.R.L.; Ara
ú
jo, M.S.;
Ribeiro, L.M.C.S.; Mattos, R.C.; McManus, C. Eects of testicle insulation on seminal traits in rams:
Preliminary study. Small Rumin. Res. 2015,130, 157–165. [CrossRef]
88.
Wallage, A.L.; Gaughan, J.B.; Lisle, A.T.; Beard, L.; Collins, C.W.; Johnston, S.D. Measurement of bovine body
and scrotal temperature using implanted temperature sensitive radio transmitters, data loggers and infrared
thermography. Int. J. Biometeorol. 2017,61, 1309–1321. [CrossRef]
89.
Wallage, A.L.; Johnston, S.D.; Lisle, A.T.; Beard, L.; Lees, A.M.; Collins, C.W.; Gaughan, J.B.
Thermoregulation of the bovine scrotum 1: Measurements of free-range animals in a paddock and pen.
Int. J. Biometeorol. 2017,61, 1381–1387. [CrossRef]
90.
Wilson, S.J.; Kirby, C.J.; Koenigsfeld, A.T.; Keisler, D.H.; Lucy, M.C. Eects of Controlled Heat Stress on
Ovarian Function of Dairy Cattle. 2. Heifers. J. Dairy Sci. 1998,81, 2132–2138. [CrossRef]
91.
Schüller, L.K.; Michaelis, I.; Heuwieser, W. Impact of heat stress on estrus expression and follicle size in
estrus under field conditions in dairy cows. Theriogenology 2017,102, 48–53. [CrossRef]
92.
Wolfenson, D.; Thatcher, W.W.; Badinga, L.; Savio, J.D.; Meidan, R.; Lew, B.J.; Braw-tal, R.; Berman, A. Eect of
Heat Stress on Follicular Development during the Estrous Cycle in Lactating Dairy Cattle.
Biol. Reprod. 1995
,
52, 1106–1113. [CrossRef]
93.
Jonsson, N.N.; McGowan, M.R.; McGuigan, K.; Davison, T.M.; Hussain, A.M.; Kafi, M.; Matschoss, A.
Relationships among calving season, heat load, energy balance and postpartum ovulation of dairy cows in a
subtropical environment. Anim. Reprod. Sci. 1997,47, 315–326. [CrossRef]
94.
Garc
í
a-Ispierto, I.; L
ó
pez-Gatius, F.; Santolaria, P.; Y
á
niz, J.L.; Nogareda, C.; L
ó
pez-B
é
jar, M.; De Rensis, F.
Relationship between heat stress during the peri-implantation period and early fetal loss in dairy cattle.
Theriogenology 2006,65, 799–807. [CrossRef]
95.
Torres-J
ú
nior, J.R.D.S.; Pires, M.D.F.A.; de S
á
, W.F.; Ferreira, A.D.M.; Viana, J.H.M.; Camargo, L.S.A.;
Ramos, A.A.; Folhadella, I.M.; Polisseni, J.; de Freitas, C.; et al. Eect of maternal heat-stress on follicular
growth and oocyte competence in Bos indicus cattle. Theriogenology 2008,69, 155–166. [CrossRef]
96.
Al-Katanani, Y.M.; Paula-Lopes, F.F.; Hansen, P.J. Eect of Season and Exposure to Heat Stress on Oocyte
Competence in Holstein Cows. J. Dairy Sci. 2002,85, 390–396. [CrossRef]
97.
Ealy, A.D.; Ar
é
chiga, C.F.; Howell, J.L.; Hansen, P.J.; Monterroso, V.H. Developmental changes in sensitivity
of bovine embryos to heat shock and use of antioxidants as thermoprotectants2. J. Anim. Sci.
1995
,73,
1401–1407. [CrossRef]
98.
Gendelman, M.; Aroyo, A.; Yavin, S.; Roth, Z. Seasonal eects on gene expression, cleavage timing,
and developmental competence of bovine preimplantation embryos. Reproduction
2010
,140, 73–82. [CrossRef]
99.
Biggers, B.G.; Buchanan, D.S.; Geisert, R.D.; Wetteman, R.P. Eect of Heat Stress on Early Embryonic
Development in the Beef Cow. J. Anim. Sci. 1987,64, 1512–1518. [CrossRef]
100.
Ryan, D.P.; Blakewood, E.G.; Munyakazi, L.; Godke, R.A.; Lynn, J.W. Eect of heat-stress on bovine embryo
development in vitro. J. Anim. Sci. 1992,70, 3490–3497. [CrossRef]
Animals 2019,9, 322 17 of 20
101.
Wolfenson, D.; Roth, Z.; Meidan, R. Impaired reproduction in heat-stressed cattle: Basic and applied aspects.
Anim. Reprod. Sci. 2000,60–61, 535–547. [CrossRef]
102.
Roman-Ponce, H.; Thatcher, W.W.; Caton, D.; Barron, D.H.; Wilcox, C.J. Thermal Stress Eects on Uterine
Blood Flow in Dairy Cows. J. Anim. Sci. 1978,46, 175–180. [CrossRef]
103.
Pennington, J.A.; Albright, J.L.; Diekman, M.A.; Callahan, C.J. Sexual Activity of Holstein Cows: Seasonal
Eects. J. Dairy Sci. 1985,68, 3023–3030. [CrossRef]
104.
Schüller, L.K.; Burfeind, O.; Heuwieser, W. Impact of heat stress on conception rate of dairy cows in the
moderate climate considering dierent temperature–humidity index thresholds, periods relative to breeding,
and heat load indices. Theriogenology 2014,81, 1050–1057. [CrossRef]
105.
Morton, J.M.; Tranter, W.P.; Mayer, D.G.; Jonsson, N.N. Eects of Environmental Heat on Conception Rates
in Lactating Dairy Cows: Critical Periods of Exposure. J. Dairy Sci. 2007,90, 2271–2278. [CrossRef]
106.
Hansen, P.J.; Are
é
chiga, C.F. Strategies for managing reproduction in the heat-stressed dairy cow.
J. Anim. Sci.
1999,77, 36–50. [CrossRef]
107.
Collier, R.J.; Beede, D.K.; Thatcher, W.W.; Israel, L.A.; Wilcox, C.J. Influences of Environment and Its
Modification on Dairy Animal Health and Production. J. Dairy Sci. 1982,65, 2213–2227. [CrossRef]
108.
Kadzere, C.T.; Murphy, M.R.; Silanikove, N.; Maltz, E. Heat stress in lactating dairy cows: A review.
Livest. Prod. Sci. 2002,77, 59–91. [CrossRef]
109.
Morse, D.; DeLorenzo, M.A.; Wilcox, C.J.; Collier, R.J.; Natzke, R.P.; Bray, D.R. Climatic Eects on Occurrence
of Clinical Mastitis. J. Dairy Sci. 1988,71, 848–853. [CrossRef]
110.
Howell, D.; Wilson, C.D.; Vessey, M.P. A survey of the incidence of mastitis in dairy cows in the Reading
area. Vet. Rec. 1964,76, 1107.
111.
Gardner, B.A.; Dolezal, H.G.; Bryant, L.K.; Owens, F.N.; Smith, R.A. Health of finishing steers: Eects on
performance, carcass traits, and meat tenderness. J. Anim. Sci. 1999,77, 3168–3175. [CrossRef]
112.
Silanikove, N. Eects of heat stress on the welfare of extensively managed domestic ruminants.
Livest. Prod. Sci. 2000,67, 1–18. [CrossRef]
113.
DeShazer, J.A.; Hahn, G.L.; Xinm, H. Basic Principals of the Thermal Environment and Livestock Energetics.
In Livestock Energetics and Thermal Environmental Management; DeShazer, J.A., Ed.; American Society of
Agricultural and Biological Engineers: St. Joseph, MI, USA, 2009.
114.
Mitlöhner, F.M.; Galyean, M.L.; McGlone, J.J. Shade eects on performance, carcass traits, physiology,
and behavior of heat-stressed feedlot heifers. J. Anim. Sci. 2002,80, 2043–2050. [CrossRef]
115.
Gaughan, J.B.; Mader, T.L. Body temperature and respiratory dynamics in un-shaded beef cattle.
Int. J. Biometeorol. 2014,58, 1443–1450. [CrossRef]
116.
Gaughan, J.B.; Bonner, S.; Loxton, I.; Mader, T.L.; Lisle, A.; Lawrence, R. Eect of shade on body temperature
and performance of feedlot steers. J. Anim. Sci. 2010,88, 4056–4067. [CrossRef]
117.
Lees, A.M.; Lees, J.C.; Lisle, A.T.; Sullivan, M.L.; Gaughan, J.B. Eect of heat stress on rumen temperature of
three breeds of cattle. Int. J. Biometeorol. 2018,62, 207–215. [CrossRef]
118.
Sullivan, M.L.; Cawdell-Smith, A.J.; Mader, T.L.; Gaughan, J.B. Eect of shade area on performance and
welfare of short-fed feedlot cattle. J. Anim. Sci. 2011,89, 2911–2925. [CrossRef]
119.
Lees, A.M.; Lees, J.C.; Sejian, V.; Wallage, A.L.; Gaughan, J.B. Short communication: Using infrared
thermography as an in situ measure of core body temperature in lot-fed Angus steers. Int. J. Biometeorol.
2018,62, 3–8. [CrossRef]
120.
Clarke, M.; Kelly, A. Some eects of shade on Hereford steers in a feedlot. Proc. Aust. Soc. Anim. Prod.
1996
,
21, 235–238.
121.
Gaughan, J.B.; Bonner, S.L.; Loxton, I.; Mader, T.L. Eects of chronic heat stress on plasma concentration of
secreted heat shock protein 70 in growing feedlot cattle. J. Anim. Sci. 2013,91, 120–129. [CrossRef]
122.
Avendaño-Reyes, L.;
Á
lvarez-Valenzuela, F.D.; Correa-Calder
ó
n, A.; Alg
á
ndar-Sandoval, A.;
Rodr
í
guez-Gonz
á
lez, E.; P
é
rez-Vel
á
zquez, R.; Mac
í
as-Cruz, U.; D
í
az-Molina, R.; Robinson, P.H.; Fadel, J.G.
Comparison of three cooling management systems to reduce heat stress in lactating Holstein cows during
hot and dry ambient conditions. Livest. Sci. 2010,132, 48–52. [CrossRef]
123.
McDowell, R.E.; Hooven, N.W.; Camoens, J.K. Eect of Climate on Performance of Holsteins in First Lactation.
J. Dairy Sci. 1976,59, 965–971. [CrossRef]
124.
TapkI, I.; Sahin, A. Comparison of the thermoregulatory behaviours of low and high producing dairy cows
in a hot environment. Appl. Anim. Behav. Sci. 2006,99, 1–11. [CrossRef]
Animals 2019,9, 322 18 of 20
125.
Bouraoui, R.; Lahmar, M.; Abdessalem, M.; Djemali, M.n.; Belyea, R. The relationship of temperature-humidity
index with milk production of dairy cows in a Mediterranean climate. Anim. Res.
2002
,51, 479–491. [CrossRef]
126.
Staples, C.R.; Thatcher, W.W. Stress in Dairy Animals |Heat Stress: Eects on Milk Production and
Composition. In Encyclopedia of Dairy Sciences, 2nd ed.; John, W., Ed.; Academic Press: San Diego, CA, USA,
2011; pp. 561–566. [CrossRef]
127.
Ravagnolo, O.; Misztal, I. Genetic Component of Heat Stress in Dairy Cattle, Parameter Estimation. J. Dairy Sci.
2000,83, 2126–2130. [CrossRef]
128.
Purwanto, B.; Abo, Y.; Sakamoto, R.; Furumoto, F.; Yamamoto, S. Diurnal patterns of heat production and
heart rate under thermoneutral conditions in Holstein Friesian cows diering in milk production.
J. Agric. Sci.
1990,114, 139–142. [CrossRef]
129.
Lambertz, C.; Sanker, C.; Gauly, M. Climatic eects on milk production traits and somatic cell score in
lactating Holstein-Friesian cows in dierent housing systems. J. Dairy Sci. 2014,97, 319–329. [CrossRef]
130.
Sharma, A.; Rodriguez, L.; Mekonnen, G.; Wilcox, C.; Bachman, K.; Collier, R. Climatological and Genetic
Eects on Milk Composition and Yield. J. Dairy Sci. 1983,66, 119–126. [CrossRef]
131.
Heck, J.M.L.; Schennink, A.; van Valenberg, H.J.F.; Bovenhuis, H.; Visker, M.H.P.W.; van Arendonk, J.A.M.;
van Hooijdonk, A.C.M. Eects of milk protein variants on the protein composition of bovine milk. J. Dairy Sci.
2009,92, 1192–1202. [CrossRef]
132.
Pollott, G.E. Deconstructing Milk Yield and Composition During Lactation Using Biologically Based Lactation
Models. J. Dairy Sci. 2004,87, 2375–2387. [CrossRef]
133.
Rodriquez, L.A.; Mekonnen, G.; Wilcox, C.J.; Martin, F.G.; Krienke, W.A. Eects of Relative Humidity,
Maximum and Minimum Temperature, Pregnancy, and Stage of Lactation on Milk Composition and Yield.
J. Dairy Sci. 1985,68, 973–978. [CrossRef]
134.
Bernabucci, U.; Lacetera, N.; Baumgard, L.H.; Rhoads, R.P.; Ronchi, B.; Nardone, A. Metabolic and hormonal
acclimation to heat stress in domesticated ruminants. Animal 2010,4, 1167–1183. [CrossRef]
135.
Quist, M.A.; LeBlanc, S.J.; Hand, K.J.; Lazenby, D.; Miglior, F.; Kelton, D.F. Milking-to-Milking Variability for
Milk Yield, Fat and Protein Percentage, and Somatic Cell Count. J. Dairy Sci.
2008
,91, 3412–3423. [CrossRef]
136. Bernabucci, U.; Basiricò, L.; Morera, P.; Dipasquale, D.; Vitali, A.; Piccioli Cappelli, F.; Calamari, L. Eect of
summer season on milk protein fractions in Holstein cows. J. Dairy Sci. 2015,98, 1815–1827. [CrossRef]
137.
Sharma, A.K.; Rodriguez, L.A.; Wilcox, C.J.; Collier, R.J.; Bachman, K.C.; Martin, F.G. Interactions of Climatic
Factors Aecting Milk Yield and Composition. J. Dairy Sci. 1988,71, 819–825. [CrossRef]
138.
Hill, D.L.; Wall, E. Dairy cattle in a temperate climate: The eects of weather on milk yield and composition
depend on management. Animal 2014,9, 138–149. [CrossRef]
139.
Garner, J.B.; Douglas, M.; Williams, S.R.O.; Wales, W.J.; Marett, L.C.; DiGiacomo, K.; Leury, B.J.; Hayes, B.J.
Responses of dairy cows to short-term heat stress in controlled-climate chambers. Anim. Prod. Sci.
2017
,57,
1233–1241. [CrossRef]
140.
Bernabucci, U.; Lacetera, N.; Ronchi, B.; Nardone, A. Eects of the hot season on milk protein fractions in
Holstein cows. Anim. Res. 2002,51, 25–33. [CrossRef]
141.
Ferris, T.A.; Vasavada, P.C. Altering Milk Composition—An Introduction. J. Dairy Sci.
1989
,72, 2788–2789.
[CrossRef]
142.
Laben, R.C. Factors Responsible for Variation in Milk Composition. J. Dairy Sci.
1963
,46, 1293–1301.
[CrossRef]
143.
Loudon, K.M.W.; Lean, I.J.; Pethick, D.W.; Gardner, G.E.; Grubb, L.J.; Evans, A.C.; McGilchrist, P. On farm
factors increasing dark cutting in pasture finished beef cattle. Meat Sci. 2018,144, 110–117. [CrossRef]
144.
McGilchrist, P.; Alston, C.L.; Gardner, G.E.; Thomson, K.L.; Pethick, D.W. Beef carcasses with larger eye
muscle areas, lower ossification scores and improved nutrition have a lower incidence of dark cutting.
Meat Sci. 2012,92, 474–480. [CrossRef]
145.
Voisinet, B.D.; Grandin, T.; O’Connor, S.F.; Tatum, J.D.; Deesing, M.J. Bos indicus-cross feedlot cattle with
excitable temperaments have tougher meat and a higher incidence of borderline dark cutters. Meat Sci.
1997
,
46, 367–377. [CrossRef]
146.
Voisinet, B.D.; Grandin, T.; Tatum, J.D.; O’Connor, S.F.; Struthers, J.J. Feedlot cattle with calm temperaments
have higher average daily gains than cattle with excitable temperaments. J. Anim. Sci.
1997
,75, 892–896.
[CrossRef] [PubMed]
Animals 2019,9, 322 19 of 20
147.
McGilchrist, P.; Perovic, J.L.; Gardner, G.E.; Pethick, D.W.; Jose, C.G. The incidence of dark cutting in southern
Australian beef production systems fluctuates between months. Anim. Prod. Sci.
2014
,54, 1765–1769.
[CrossRef]
148.
Scanga, J.A.; Belk, K.E.; Tatum, J.D.; Grandin, T.; Smith, G.C. Factors contributing to the incidence of dark
cutting beef. J. Anim. Sci. 1998,76, 2040–2047. [CrossRef] [PubMed]
149.
Hahn, G.L. Management and Housing of Farm Animals in Hot Environments. In Stress Physiology in Livestock;
Yousef, M.K., Ed.; CRC Press Inc.: Boca Raton, FL, USA, 1985; Volume II, pp. 151–174.
150.
Sanchez, W.K.; McGuire, M.A.; Beede, D.K. Macromineral Nutrition by Heat Stress Interactions in Dairy
Cattle: Review and Original Research. J. Dairy Sci. 1994,77, 2051–2079. [CrossRef]
151.
Gaughan, J.B.; Davis, M.S.; Mader, T.L. Wetting and the physiological responses of grain-fed cattle in a heated
environment. Aust. J. Agric. Res. 2004,55, 253–260. [CrossRef]
152.
Gaughan, J.B.; Mader, T.L.; Holt, S.M. Cooling and feeding strategies to reduce heat load of grain-fed beef
cattle in intensive housing. Livest. Sci. 2008,113, 226–233. [CrossRef]
153.
Schütz, K.E.; Cox, N.R.; Matthews, L.R. How important is shade to dairy cattle? Choice between shade or
lying following dierent levels of lying deprivation. Appl. Anim. Behav. Sci. 2008,114, 307–318. [CrossRef]
154.
Schütz, K.E.; Cox, N.R.; Tucker, C.B. A field study of the behavioral and physiological eects of varying
amounts of shade for lactating cows at pasture. J. Dairy Sci. 2014,97, 3599–3605. [CrossRef]
155.
Schütz, K.E.; Rogers, A.R.; Cox, N.R.; Tucker, C.B. Dairy cows prefer shade that oers greater protection
against solar radiation in summer: Shade use, behaviour, and body temperature. Appl. Anim. Behav. Sci.
2009,116, 28–34. [CrossRef]
156.
Schütz, K.E.; Rogers, A.R.; Poulouin, Y.A.; Cox, N.R.; Tucker, C.B. The amount of shade influences the
behavior and physiology of dairy cattle. J. Dairy Sci. 2010,93, 125–133. [CrossRef]
157.
Tucker, C.B.; Rogers, A.R.; Schütz, K.E. Eect of solar radiation on dairy cattle behaviour, use of shade and
body temperature in a pasture-based system. Appl. Anim. Behav. Sci. 2008,109, 141–154. [CrossRef]
158.
Gaughan, J.B.; Goodwin, P.J.; Schoorl, T.A.; Young, B.A.; Imbeah, M.; Mader, T.L.; Hall, A. Shade preferences
of lactating Holstein Friesian cows. Aust. J. Exp. Agric. 1998,38, 17–21. [CrossRef]
159.
Bungton, D.; Collier, R.; Canton, G. Shade management systems to reduce heat stress for dairy cows in hot,
humid climates. Trans. Am. Soc. Agric. Eng. 1983,26, 1798–1802. [CrossRef]
160.
Kendall, P.E.; Nielsen, P.P.; Webster, J.R.; Verkerk, G.A.; Littlejohn, R.P.; Matthews, L.R. The eects of
providing shade to lactating dairy cows in a temperate climate. Livest. Sci. 2006,103, 148–157. [CrossRef]
161.
Gaughan, J.B.; Tait, L.A.; Eigenberg, R.; Bryden, W.L. Eect of shade on respiration rate and rectal temperature
of Angus heifers. Anim. Prod. Aust. 2004,25, 69–72. [CrossRef]
162.
Bond, T.E.; Kelly, C.F.; Morrison, S.R.; Periera, N. Solar, Atmospheric, and Terrestrial Radiation Received by
Shaded and Unshaded Animals. Trans. Am. Soc. Agric. Eng. 1967,10, 622–627. [CrossRef]
163.
Roman-Ponce, H.; Thatcher, W.W.; Bungton, D.E.; Wilcox, C.J.; Van Horn, H.H. Physiological and
Production Responses of Dairy Cattle to a Shade Structure in a Subtropical Environment. J. Dairy Sci.
1977
,
60, 424–430. [CrossRef]
164.
Gaughan, J.B.; Mader, T.L. Eects of sodium chloride and fat supplementation on finishing steers exposed to
hot and cold conditions. J. Anim. Sci. 2009,87, 612–621. [CrossRef]
165.
Dunshea, F.R.; Oluboyede, K.; DiGiacomo, K.; Leury, B.J.; Cottrell, J.J. Betaine Improves Milk Yield in Grazing
Dairy Cows Supplemented with Concentrates at High Temperatures. Animals 2019,9, 57. [CrossRef]
166.
DiGiacomo, K.; Simpson, S.; Leury, B.J.; Dunshea, F.R. Dietary Betaine Impacts the Physiological Responses
to Moderate Heat Conditions in a Dose Dependent Manner in Sheep. Animals 2016,6, 51. [CrossRef]
167.
Cronje, P. Heat stress in livestock–the role of the gut in its aetiology and a potential role for betaine in its
alleviation. Recent Adv. Anim. Nutr. Aust. 2005,15, 107–122.
168.
Moallem, U.; Lehrer, H.; Livshitz, L.; Zachut, M.; Yakoby, S. The eects of live yeast supplementation to dairy
cows during the hot season on production, feed eciency, and digestibility. J. Dairy Sci.
2009
,92, 343–351.
[CrossRef] [PubMed]
169.
DeVries, T.J.; Chevaux, E. Modification of the feeding behavior of dairy cows through live yeast
supplementation. J. Dairy Sci. 2014,97, 6499–6510. [CrossRef] [PubMed]
170.
Crossland, W.L.; Cagle, C.M.; Sawyer, J.E.; Callaway, T.R.; Tedeschi, L.O. Evaluation of active dried yeast in
the diets of feedlot steers. II. Eects on rumen pH and liver health of feedlot steers. J. Anim. Sci.
2019
,97,
1347–1363. [CrossRef] [PubMed]
Animals 2019,9, 322 20 of 20
171.
Crossland, W.L.; Jobe, J.T.; Ribeiro, F.R.B.; Sawyer, J.E.; Callaway, T.R.; Tedeschi, L.O. Evaluation of active
dried yeast in the diets of feedlot steers: I. Eects on feeding performance traits, the composition of growth,
and carcass characteristics. J. Anim. Sci. 2019,97, 1335–1346. [CrossRef] [PubMed]
172.
Calamari, L.; Petrera, F.; Abeni, F.; Bertin, G. Metabolic and hematological profiles in heat stressed lactating dairy
cows fed diets supplemented with different selenium sources and doses. Livest. Sci.
2011
,142, 128–137. [CrossRef]
173.
Mader, T.L.; Gaughan, J.B.; Young, B.A. Feedlot Diet Roughage Level for Hereford Cattle Exposed to Excessive
Heat Load. Prof. Anim. Sci. 1999,15, 53–62. [CrossRef]
174.
Brosh, A.; Aharoni, Y.; Degen, A.A.; Wright, D.; Young, B.A. Eects of solar radiation, dietary energy, and time
of feeding on thermoregulatory responses and energy balance in cattle in a hot environment. J. Anim. Sci.
1998,76, 2671–2677. [CrossRef]
175.
Carvalho, F.A.; Lammoglia, M.A.; Simoes, M.J.; Randel, R.D. Breed affects thermoregulation and epithelial
morphology in imported and native cattle subjected to heat stress. J. Anim. Sci. 1995,73, 3570–3573. [CrossRef]
176.
Rhoads, R.P.; Baumgard, L.H.; Suagee, J.K. 2011 and 2012 Early Careers Achievement Awards: Metabolic
priorities during heat stress with an emphasis on skeletal muscle. J. Anim. Sci.
2013
,91, 2492–2503. [CrossRef]
177.
Nguyen, T.T.T.; Bowman, P.J.; Haile-Mariam, M.; Nieuwhof, G.J.; Hayes, B.J.; Pryce, J.E. Short communication:
Implementation of a breeding value for heat tolerance in Australian dairy cattle. J. Dairy Sci.
2017
,100,
7362–7367. [CrossRef] [PubMed]
178.
Nguyen, T.T.T.; Bowman, P.J.; Haile-Mariam, M.; Pryce, J.E.; Hayes, B.J. Genomic selection for tolerance to
heat stress in Australian dairy cattle. J. Dairy Sci. 2016,99, 2849–2862. [CrossRef] [PubMed]
179.
Nguyen, T.T.T.; Hayes, B.J.; Pryce, J.E. A practical future-scenarios selection tool to breed for heat tolerance
in Australian dairy cattle. Anim. Prod. Sci. 2017,57, 1488–1493. [CrossRef]
180.
Garner, J.B.; Douglas, M.L.; Williams, S.R.O.; Wales, W.J.; Marett, L.C.; Nguyen, T.T.T.; Reich, C.M.; Hayes, B.J.
Genomic Selection Improves Heat Tolerance in Dairy Cattle. Sci. Rep. 2016,6, 34114. [CrossRef] [PubMed]
181.
S
á
nchez, J.P.; Misztal, I.; Aguilar, I.; Zumbach, B.; Rekaya, R. Genetic determination of the onset of heat stress
on daily milk production in the US Holstein cattle. J. Dairy Sci. 2009,92, 4035–4045. [CrossRef] [PubMed]
182.
Lees, J.C. A Heat Load Index for Dairy Cattle. Ph.D. Thesis, The University of Queensland, School of
Agriculture and Food Sciences, Queensland, Australia, 2018.
183.
Singh, K.; Erdman, R.A.; Swanson, K.M.; Molenaar, A.J.; Maqbool, N.J.; Wheeler, T.T.; Arias, J.A.;
Quinn-Walsh, E.C.; Stelwagen, K. Epigenetic Regulation of Milk Production in Dairy Cows. J. Mammary Gland
Biol. Neoplasia 2010,15, 101–112. [CrossRef] [PubMed]
184.
Ahmed, B.M.S.; Younas, U.; Asar, T.O.; Dikmen, S.; Hansen, P.J.; Dahl, G.E. Cows exposed to heat stress
during fetal life exhibit improved thermal tolerance. J. Anim. Sci.
2017
,95, 3497–3503. [CrossRef] [PubMed]
185.
Tao, S.; Dahl, G.E.; Laporta, J.; Bernard, J.K.; Orellana Rivas, R.M.; Marins, T.N. Eects of heat stress during
late gestation on the dam and its calf. J. Anim. Sci. 2019,96, 351–352. [CrossRef]
186.
Skibiel, A.L.; Dado-Senn, B.; Fabris, T.F.; Dahl, G.E.; Laporta, J. In utero exposure to thermal stress has
long-term eects on mammary gland microstructure and function in dairy cattle. PLoS ONE
2018
,13,
e0206046. [CrossRef]
187.
Skibiel, A.L.; Peñagaricano, F.; Amor
í
n, R.; Ahmed, B.M.; Dahl, G.E.; Laporta, J. In Utero Heat Stress Alters
the Ospring Epigenome. Sci. Rep. 2018,8, 14609. [CrossRef]
188.
Dahl, G.E.; Tao, S.; Laporta, J. TRIENNIAL LACTATION SYMPOSIUM/BOLFA: Late gestation heat stress of
dairy cattle programs dam and daughter milk production. J. Anim. Sci.
2017
,95, 5701–5710. [CrossRef] [PubMed]
189.
Horowitz, M. Heat acclimation: Phenotypic plasticity and cues to the underlying molecular mechanisms.
J. Therm. Biol. 2001,26, 357–363. [CrossRef]
190.
Roy, K.S.; Collier, R.J. Regulation of Acclimation to Environmental Stress. In Environmental Physiology of
Livestock; Collier, R.J., Collier, J.L., Eds.; Wiley Blackwell: West Sussex, UK, 2012.
191.
Hansen, P.J. Physiological and cellular adaptations of zebu cattle to thermal stress. Anim. Reprod. Sci.
2004
,
82–83, 349–360. [CrossRef] [PubMed]
©
2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
... However, the impacts of climate variability and change on cattle health and production in Vanuatu, particularly regarding the implications of heat stress, remain largely unexplored [6]. Heat stress, resulting from the inability of cattle to dissipate excess body heat, has profound effects on cattle health, productivity, and welfare [7]. Understanding the potential impacts of climatic conditions on the incidence of heat stress and, hence, the impact on cattle health, is crucial for developing effective adaptation and mitigation strategies for Vanuatu's agricultural sectors. ...
... In most cases, heat stress is typically triggered by the surrounding thermal environment when the climatic conditions are such that cattle can no longer dissipate internal body heat effectively enough to regulate and maintain their core body temperature [31]. As a result, high ambient temperatures, coupled with decreased wind speeds and high humidities, reduce evapotranspiration rates, hindering the efficiency of physiological cooling mechanisms and inhibiting an animal's ability to offload heat effectively [7]. In Vanuatu, this climatically induced phenomenon becomes particularly relevant, as elevated temperatures and humidities throughout the wet season could potentially prevent cattle from dissipating heat effectively, leading to heat stress [32]. ...
... Frequent exposure of cattle to heat stress-inducing conditions is a concern for cattle in Vanuatu, considering the vast impacts of heat stress on cattle health, growth, production, and reproduction. Like many mammals, the typical physiological response of cattle to hot and humid conditions is to divert blood flow away from internal organs to the extremities in order to facilitate cooling [7]. This redirection of bodily resources affects multiple vital metabolic processes within the cow's body, particularly within the rumen (stomach) and digestive tract [33]. ...
Article
Full-text available
Heat stress is a climate extreme that impacts cattle health, fertility, feed intake, production, and well-being. In Vanuatu, the beef industry is crucial to local livelihoods and the nation’s economy, thus the objective of this study was to examine the impact of heat stress on cattle health and production. This study uses the Heat Load Index (HLI) and Accumulated Heat Load (AHL) as proxies to assess the impact of heat stress on cattle in Vanuatu over a 30-year period (1994–2023), using the fifth generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis of the global climate (ERA5) data. The analysis examines historical patterns of heat stress in cattle across Vanuatu, identifying more instances of heat stress occurring during the wet season due to characteristically elevated temperatures, humidity, and low wind speeds. Findings also suggest that El Niño events may increase the intensity and duration of heat stress events. These insights inform the development of an Early Warning System for heat stress in cattle, establishing a crucial foundation for targeted adaptation strategies aimed at enhancing the resilience and sustainability of Vanuatu’s beef industry to climate variability and change.
... El CC afecta todas las dimensiones de la seguridad alimentaria y la nutrición: disponibilidad, acceso a los alimentos, utilización de los alimentos y estabilidad alimentaria; por tal razón, es necesario mitigar los factores de riesgo que afectan a la seguridad alimentaria debido al cambio climático, siendo uno de los principales desafíos para el siglo XXI (Rojas-Downing et al., 2017). Los bovinos son homeotermos y la exposición en ambientes muy cálidos o fríos puede desafiar su homeostasis, induciendo así estrés térmico, teniendo efectos negativos en el bienestar, salud, reproducción y productividad (Lees et al., 2019), esto puede generar pérdidas económicas muy significativas (Brown-Brandl y Jones, 2016; Das et al., 2016). Se ha propuesto que los efectos del estrés calórico en bovinos para carne y leche pueden preverse a través de una herramienta: Índice de Temperatura y Humedad (ITH), que permite caracterizar el ambiente y relacionarlo con la respuesta biológica del ganado (Shephard y Maloney, 2023). ...
Article
Full-text available
El objetivo del estudio fue caracterizar las condiciones climáticas durante el periodo de mayor pluviosidad en la Amazonía sur del Ecuador (marzo a julio de 2024), utilizando el índice de temperatura y humedad (ITH). Los datos se recopilaron mediante un datalogger (SensorPush) y fueron sistematizados en el software GANADERO TP®. En total, se analizaron 218.915 registros de temperatura y humedad, los cuales fueron descargados en formato compatible con Microsoft Excel. El análisis se realizó aplicando estadística descriptiva y los umbrales preestablecidos por el Instituto Nacional de Investigación Agropecuaria de Uruguay para determinar el riesgo de estrés calórico. Se consideraron estados de alerta para sistemas lecheros con un ITH entre 68 y 71,9, y para sistemas de carne entre 69 y 74,9. No se detectaron olas de calor en el periodo estudiado, sin embargo, se observó un efecto acumulativo con un ITH ≥72, lo que implica alerta y peligro en la producción de carne y leche, afectando potencialmente la salud, bienestar y reproducción de los animales. Estos resultados preliminares son fundamentales para el desarrollo de una herramienta predictiva de bajo costo que ayude a mitigar los efectos del estrés térmico en los sistemas ganaderos de la región. Es crucial continuar los estudios de caracterización climática en la Amazonía sur ecuatoriana para crear soluciones que permitan a los productores y asesores tomar decisiones informadas y aplicar estrategias que reduzcan los impactos adversos del calor.
... This becomes particularly important for small ruminants such as sheep and goats. By blocking the sun, rays shaded areas can reduce an animal's radiant heat load by up to 30% (Lee et al. 2019). Three methods for evaporative cooling are used: low-volume, high-speed fans; high-volume, low-speed fans; and tunnel ventilation (Smith and Harner 2012). ...
Article
Stress is an external event or condition that puts pressure on a biological system. Heat stress is defined as the combination of internal and external factors acting on an animal to cause an increase in body temperature and elicit a physiological response. Heat stress is a set of conditions caused by overexposure to or overexertion at excess ambient temperature and leads to the inability of animals to dissipate enough heat to sustain homeostasis. Heat exhaustion, heat stroke, and cramps are among the symptoms. For the majority of mammalian species, including ruminants, heat stress has a negative impact on physiological, reproductive, and nutritional requirements. Reproductive functions, including the male and female reproductive systems, are negatively affected by heat stress. It decreases libido and spermatogenic activity in males and negatively affects follicle development, oogenesis, oocyte maturation, fertilization, implantation, and embryo-fetal development in females. These effects lead to a decrease in the rate of reproduction and financial losses for the livestock industry. Understanding the impact of heat stress on reproductive tissues will aid in the development of strategies for preventing heat stress and improving reproductive functions. Modification of the microenvironment, nutritional control, genetic development of heat-tolerant breeds, hormonal treatment, estrous synchronization, timed artificial insemination, and embryo transfer are among the strategies used to reduce the detrimental effects of heat stress on reproduction. These strategies may also increase the likelihood of establishing pregnancy in farm animals.
... Eighty-four Braford crosses cow-calf pairs were randomly assigned to four treatments in two years: (1) SPS + TW (n = 15), (2) SPS − TW (n = 28), (3) FS + TW (n = 18) and (4) FS − TW (n = 23). The future scenarios (Vitali et al. 2015;Lees et al. 2019). Global warming is likely to reach 1.5 °C between 2030 and 2052 if it continues to rise at current rates, causing an increase of frequency and severity of extreme weather events (Tebaldi and Wehner 2018). ...
Article
Full-text available
Heat stress affects cow-calf performance during the summer; thus, it is relevant to study attenuation strategies. The thermal environment, physiological response to heat stress, concentrations of metabolic hormones and productivity of cow-calf pairs grazing silvopastoral (SPS) and full sun (FS) systems, associated or not with temporary weaning (TW) were evaluated. Eighty-four Braford crosses cow-calf pairs were randomly assigned to four treatments in two years: (1) SPS + TW (n = 15), (2) SPS − TW (n = 28), (3) FS + TW (n = 18) and (4) FS − TW (n = 23). The black globe temperature humidity index was lower under the trees shade, thus SPS cows explored a larger area (P < 0.01) and grazed longer (P < 0.05). Live weight of cows and calves and body condition score of cows were greater in SPS than FS (P < 0.01). IGF-I concentrations were greater in SPS than FS (P = 0.001), but decreased in SPS + TW cow-calf pairs (P < 0.01). TW decreased insulin concentration in cows and increased its concentrations in calves (P = 0.01). Cows grazing SPS had less observations with vaginal temperature ≥ 39.1°C compared to FS cows (P < 0.001). SPS + TW cows tended to ovulate earlier postpartum (P ≤ 0.1), but days to conception and pregnancy were similar between groups. In conclusion, SPS provided a more comfortable thermal environment, associated to a decrease in the vaginal temperature of cows. This resulted in longer grazing sessions and hormone dynamics compatible with greater animal productivity and earlier reinitiation of cyclicity. TW decreased IGF-I concentrations in cows grazing SPS, thus the lack of its protective effect on the oocyte impeded the advancement of conception.
... Thermal stress as temperatures peak during summer months can exacerbate cattle requirements for water ( National Academies of Sciences, Engineering, and Medicine 2016 ), which can increase heat loads and concomitant cattle behavior ( Sprinkle et al. 2021 ), including use of riparian areas ( Harris et al. 20 02 ;Franklin et al. 20 09 ;Malan et al. 2018 ). With increasing solar radiation in semi-arid environments, cattle often seek the more shaded environments of riparian areas compared to uplands ( National Resource Council 2002 ;Parsons et al. 2003 ;Tucker et al. 2008 ;Lees et al. 2019 ;Cheleuitte-Nieves et al. 2020 ). Cattle may also select sites within an optimal range of relative humidity ( Bryant 1982 ;Roath and Krueger 1982 ) or combinations of temperature and humidity ( Roath and Krueger 1982 ;Loza et al. 1992 ;Franklin et al. 2009 ). ...
Article
In the realm of precision cattle health monitoring, this paper introduces the development and evaluation of a novel wearable continuous health monitoring device designed for cattle. The device integrates a sustainable solar-powered module, real-time signal acquisition and processing, and a storage module within an animal ergonomically designed curved casing for non-invasive cattle health monitoring. The curvature of the casing is tailored to better fit the contours of the cattle’s neck, significantly enhancing signal accuracy, particularly in temperature signal acquisition. The core module is equipped with precision temperature sensors and inertial measurement units, utilizing the Arduino MKR ZERO board for data acquisition and processing. Field tests conducted on a cohort of ten cattle not only validated the accuracy of temperature sensing but also demonstrated the potential of machine learning, particularly the Support Vector Machine algorithm, for precise behavior classification and step counting, with an average accuracy of 97.27%. This study innovatively combines real-time temperature recognition, behavior classification, and step counting organically within a self-powered device. The results underscore the feasibility of this technology in enhancing cattle welfare and farm management efficiency, providing clear direction for future research to further enhance these devices for large-scale applications.
Article
Full-text available
Macromineral imbalances in ruminants, particularly in tropical and subtropical regions, pose a significant challenge to production sustainability and profitability. Heat stress exacerbates these imbalances, negatively impacting physiological functions and productivity. This review examines the effects of heat stress on macromineral levels in ruminants and the need for supplementation under such conditions. Heat stress lowers key macrominerals (Na+, K+, Cl-, Ca + 2, Mg + 2, inorganic P) and disrupts acid-base balance due to thermoregulatory responses and reduced feed intake. Supplementing macrominerals to the diet to achieve higher dietary cation-anion difference helps mitigate heat-related morbidity and maintains ruminant health and productivity. A more practical approach, such as sustained-release macromineral boluses in the rumen, is proposed to provide more consistent benefits. Further researches are warranted to optimize supplementation strategies and fully understand macromineral nutrition for heat-stressed ruminants.
Article
Full-text available
The objective of this research was to determine the influence of heat stress, using the temperature-humidity index (THI), on the production and quality of native sperm of bulls. The effect of heat stress on the quantity of semen (mL), density of ejaculate (number of spermatozoa, 10⁶/mL), gross sperm motility (1-5), number of frozen doses, and motility after freezing was analysed in 1,017 sperm samples taken from 32 Holstein-Friesian bulls, in the 2017-2019 period, at the Centre for Reproduction and Embryo Transfer in Serbia. The lowest amount of ejaculate (4.18±1.95 mL) and the lowest density of ejaculate (1,189.19±668.23 × 10⁶/mL) were recorded under conditions of very strong heat stress on the day of semen collection. The level of heat stress measured on the day of semen collection did not affect sperm gross motility, number of frozen doses, and motility after freezing. The level of heat stress at the beginning of spermatogenesis, measured 60 days before semen collection, did not affect the amount of ejaculate and motility of spermatozoa after freezing, but at very strong stress, the lowest density of ejaculate (1,170.34±680.27 × 10⁶/mL) and gross motility of spermatozoa were found (2.91±0.96). The lowest number of doses per ejaculate was recorded in conditions of moderate heat stress (396.6±157.71). Bulls older than 36 months had the best results according to all tested parameters of native sperm production and quality. The year in which the bulls produced semen did not affect density of ejaculate and sperm motility. The season of semen collection did not significantly affect the production and quality of native sperm, due to the practice of exploiting only bulls with the best sperm quality during the summer. artificial insemination; heat stress; semen production; spermatogenesis
Chapter
This chapter provides an overview of the observed impacts of heatwaves, focusing on human populations, the economy, society, infrastructure, domesticated animals, terrestrial wildlife, and marine environments. For human populations heat-related mortality is a major concern, with heatwaves causing more deaths than any other natural hazard in some countries. Vulnerable groups, such as the elderly and children, are disproportionately affected, with significant increases in mortality rates during heatwave events. The health impacts of heatwaves can be exacerbated by chronic diseases, pregnancy, and behavioural changes. Economically, heatwaves impose substantial costs on infrastructure, labour productivity, and healthcare systems. The agricultural sector is also affected, with heatwaves causing significant reductions in crop yields and livestock productivity. Increased aggression, mental health issues, and changes in social behaviour as social impacts arising from heatwaves are also touched upon. Because infrastructure systems, especially energy and transport, are highly vulnerable to heatwaves, impacts often manifest in the form increased cooling demand during heatwaves leading to grid failures and brownouts and blackouts and damage to rail and road networks via road heave and rail buckling, resulting in delays and increased maintenance costs. Domesticated animals and wildlife are not spared from the impacts of heatwaves. High mortality rates among cattle, poultry, and other farm animals are common during heatwave events. Wildlife, including some iconic species, also suffer significant mortality due to heatwave related heat stress. Marine environments are equally affected, with marine heatwaves causing widespread mortality among some marine species, disrupting food webs, and altering ecosystem structures. The chapter underscores the urgent need for systematic data collection on heatwave impacts to develop effective risk management strategies. It calls for integrated global systems to accurately record heatwave-related deaths and economic losses. The chapter concludes by emphasizing the importance of understanding the full scale of heatwave impacts to inform policy and adaptation and mitigation measures.
Chapter
This chapter considers how exposure and vulnerability work to shape the impacts of heatwaves across various scales. It begins by defining exposure as the extent to which an entity encounters heat, emphasizing the critical dimensions of frequency, duration, and intensity. To lend a geographical perspective to heat exposure the concept of heatwave climates is introduced, identifying regions where significant heatwave-related human mortality has been recorded, using the Köppen-Geiger climate classification as a framework. The chapter then explores vulnerability, defined as the propensity to be adversely affected, and outlines factors that determine vulnerability for human populations, including demographic, health, physical, socioeconomic, behavioural, and institutional factors. How socioeconomic factors, such as poverty and social isolation, may exacerbate heatwave related vulnerability is emphasised. Because smoothly functioning infrastructure is critical to society and economy and heatwaves can compromise the integrity of transportation, energy, and water systems, heatwave related vulnerability of infrastructure is also outlined with the issue of how failures in one system can cascade into others, exacerbating the overall impact of heatwaves highlighted. In addition to human populations, the chapter examines the vulnerability of natural systems. It discusses some of the factors that determine exposure and make terrestrial, marine, and aquatic ecosystems heatwave vulnerable, noting that the health status of these systems significantly affects their ability to withstand heat stress. The chapter concludes by emphasizing the need for further research on the determinants of heatwave exposure and vulnerability especially in the case of natural systems and infrastructure.
Article
Full-text available
Betaine is an organic osmolyte sourced from sugar beet that accumulates in plant cells undergoing osmotic stress. Since the accumulation of betaine lowers the energy requirements of animals and, therefore, metabolic heat production, the aim of this experiment was to investigate if betaine supplementation improved milk yield in grazing dairy cows in summer. One hundred and eighteen Friesian × Holstein cows were paired on days in milk and, within each pair, randomly allocated to a containing treatment of either 0 or 2 g/kg natural betaine in their concentrate ration for approximately 3 weeks during February/March 2015 (summer in Australia). The mean maximum February temperature was 30 °C. Cows were allocated approximately 14 kg dry matter pasture and 7.5 kg of concentrate pellets (fed in the milking shed) per cow per day and were milked through an automatic milking system three times per day. Betaine supplementation increased average daily milk yield by over 6% (22.0 vs. 23.4 kg/day, p < 0.001) with the response increasing as the study progressed as indicated by the interaction (p < 0.001) between betaine and day. Milk fat % (p = 0.87), milk protein % (p = 0.90), and milk somatic cell count (p = 0.81) were unchanged by dietary betaine. However, betaine supplementation increased milk protein yield (677 vs. 719 g/day, p < 0.001) and fat yield (874 vs. 922 g/day, p < 0.001) with responses again being more pronounced as the study progressed. In conclusion, dietary betaine supplementation increased milk and component yield during summer in grazing dairy cows.
Article
Full-text available
The objective of this trial was to determine the benefits of supplementing active dried yeast (ADY; 3 x 10 10 CFU/d of Saccharomyces cerevisiae) in diets of growing and finishing steers on ruminal pH and liver health, and evaluate the relationship of these variables with performance traits. Growing beef steers (n = 120) were blocked by weight (i. e., heavy and light) and allocated to one of four pens in an automated feed intake monitoring system. Steers were fed either control (CON; no ADY) or ADY supplemented in four sequential diets: grower diet from d 0 to d 70, two step up diets (STEP1 and STEP2) for 7 d each, and finishing diet from d 85 to 164. Indwelling rumen boli were administered to monitor rumen pH during d 56 to 106 during the dietary transition. An exchange of pen assignment, within block, occurred on d 70 resulting in four final TRT assignments: steers fed CON before and after the exchange (CC; n = 30), steers fed CON before and ADY after the exchange (CY; n = 30), steers fed ADY before and CON after the exchange (YC; n = 30), and steers fed ADY (YY; n = 30). Ruminal parameters were analyzed as a randomized complete block design with repeated measures of day, diet and TRT as fixed effects, and block as random effects, using two approaches: preliminary analysis of the means or drift analysis (units change from basal values over time). Ruminal pH duration (DUR) below 6.0 (P = 0.05) and 5.8 (P = 0.05) was greater for CY steers than CC steers. Acidosis bout prevalence (pH < 5.6 for 180 consecutive minutes; P < 0.01) and bout DUR (P = 0.05) was greater for CY than other TRT groups. The drift analysis (DA) indicated that the ruminal pH variables range, variance, and amplitude of steers in the YC group drifted further from basal pH values than CY and YY steers during the dietary transition (P ≤ 0.02) indicating that removing ADY during the dietary transition was not favorable, but including ADY may reduce ruminal fluctuation. Steers with fewer days experiencing bouts (DEB) had numerically greater ADG (P = 0.11) and tended to have greater G:F (P = 0.06). Liver abscess severity negatively affected ADG (P = 0.04). However, liver abscess severity was not affected by DEB (P = 0.90). There is evidence to suggest that the addition of the specific ADY strain in the diets of beef cattle during the dietary transition may aid in ruminal stabilization, but our study did not find evidence that acidosis bouts were related to abscess prevalence or severity.
Article
Full-text available
The use of active dried yeast (ADY) in the diets of feedlot steers may improve feed efficiency, growth performance, and reduce days on feed. Strategic timing of ADY inclusion in the diet may increase feed conversion or aid in the dietary transition from growing to finishing diets. One hundred twenty steers, blocked by weight, were fed four diets for 164 d: grower (70 d), STEP1 (7 d), STEP2 for (7 d), and finisher (80 d) in a GrowSafe System. Four treatment sequences of ADY inclusion were evaluated in a Balaam’s design where steers were fed a control diet before and after the grower phase (CC), control before and ADY after the grower phase (CY), ADY before and control after the grower phase (YC), and ADY before and after the grower phase (YY). A random coefficients model was used to evaluate the following variables of interest: feeding performance and growth traits, including biometric measurements and carcass ultrasound measurements, and carcass characteristics. Treatment was a fixed effect and block was a random effect. Treatment did not affect feeding performance or behavior (P ≥ 0.14). The rate of change of biometric measurements were not different (P ≥ 0.16) across treatment groups except for rib girth circumference, which was greater for the YY and CY groups intermediate for the CC group and least for the YC group (0.828 and 0.809 vs. 0.751 vs. 0.666 cm/d, respectively; P < 0.01). Faster growth rates of rib girth circumference resulted in larger final measurements for steers that were finished on ADY (P < 0.01). Ultrasound measurements (backfat, longissimus muscle area, intra-muscular fat, and rump fat) were not different across treatments (P ≥ 0.15). However, there was a tendency for the YC group to have a slower rate of back fat deposition than other treatment groups (P = 0.09). Steers’ final shrunk body weights did not differ (P = 0.61), but shrink percentage was greater for CC than for YY groups (3.7 vs. 2.7 %, respectively; P = 0.05). Carcass characteristics were not different across treatments (P ≥ 0.20). Crude fat, crude protein, ash and moisture analyses of the 9th-11th rib section were not different across treatments, and there was no difference in adjusted final shrunk body weight (P ≥ 0.45). Feeding the ADY strain used in this study to growing and finishing feedlot steers increased rib girth circumference development rate and reduced shrink loss without affecting feeding behavior, feeding performance, or carcass characteristics.
Article
Full-text available
Earth’s rising temperature has substantial repercussions for food-producing animals by increasing morbidity and mortality, diminishing reproductive potential, and reducing productivity. In the dairy industry this equates to massive losses in milk yield, which occur when cows are exposed to heat stress during lactation or during the non-lactating period between lactations (i.e. dry period). Furthermore, milk yield is significantly lower in first-lactation heifers that experienced fetal heat stress. The mechanisms underlying intrauterine effects of heat stress on the offspring’s future lactation have yet to be fully elucidated. We hypothesize that heat stress experienced through the intrauterine environment will alter the mammary gland microstructure and cellular processes involved in cell turnover during the cow’s first lactation. Mammary biopsies were collected from first-lactation heifers that were exposed to heat stress or cooling conditions while developing in utero (IUHT and IUCL; respectively, n = 9–10). IUHT heifers produced less milk compared to IUCL. The mammary glands of IUHT heifers differed morphologically from IUCL, with the IUHT heifers having smaller alveoli and a greater proportion of connective tissue relative to their IUCL herdmates. However, intrauterine heat stress had little impact on the proliferation and apoptosis of mammary cells during lactation. Our results indicate that fetal exposure to heat stress impairs milk production in the first lactation, in part, by inducing aberrant mammary morphology. This may result from alterations in the developmental trajectory of the fetal mammary gland that persist through the first lactation rather than to alterations in the cellular processes controlling mammary cell turnover during lactation.
Article
Full-text available
Exposure to intrauterine heat stress during late gestation affects offspring performance into adulthood. However, underlying mechanistic links between thermal insult in fetal life and postnatal outcomes are not completely understood. We examined morphology, DNA methylation, and gene expression of liver and mammary gland for bull calves and heifers that were gestated under maternal conditions of heat stress or cooling (i.e. in utero heat stressed vs. in utero cooled calves). Mammary tissue was harvested from dairy heifers during their first lactation and liver from bull calves at birth. The liver of in utero heat stressed bull calves contained more cells and the mammary glands of in utero heat stressed heifers were comprised of smaller alveoli. We identified more than 1,500 CpG sites differently methylated between maternal treatment groups. These CpGs were associated with approximately 400 genes, which play a role in processes, such as development, innate immune defense, cell signaling, and transcription and translation. We also identified over 100 differentially expressed genes in the mammary gland with similar functions. Interestingly, fifty differentially methylated genes were shared by both bull calf liver and heifer mammary gland. Intrauterine heat stress alters the methylation profile of liver and mammary DNA and programs their morphology in postnatal life, which may contribute to the poorer performance of in utero heat stressed calves.
Article
Full-text available
Livestock plays an important role in the global economy. Climate change effects are not only limited to crop production, but also affect livestock production, for example reduced milk yields and milk quality, reduced meat production and reduced fertility. Therefore, livestock-based food security is threatened in many parts of the world. Furthermore, multiple stressors are a common phenomenon in many environments, and are likely to increase due to climate change. Among these stresses, heat stress appears to be the major factor which negatively influences livestock production. Hence, it is critical to identify agro-ecological zone-specific climate resilient thermo-tolerant animals to sustain livestock production. Livestock responds to the changing environments by altering their phenotypic and physiological characters. Therefore, survivability of the animal often depends on its ability to cope with or adapt to the existing conditions. So to sustain livestock production in an environment challenged by climate change, the animals must be genetically suitable and have the ability to survive in diversified environments. Biological markers or biomarkers indicate the biological states or alterations in expression pattern of genes or state of protein that serve as a reference point in breeding for the genetic improvement of livestock. Conventionally, identification of animals with superior genetic traits that were economically beneficial was the fundamental reason for identifying biomarkers in animals. Furthermore, compared with the behavioural, morphological or physiological responses in animals, the genetic markers are important because of the possibility of finding a solution to animal adaptability to climate change.
Article
This study was conducted to determine the relationship between rectal temperature (T REC ) and rumen temperature (T RUM ) and to assess if T RUM could be used as a proxy measure of core body temperature (T CORE ) in feedlot cattle. Eighty Angus steers (388.8 ± 2.1 kg) were orally administered with rumen temperature boluses. Rumen temperatures were recorded at 10-min intervals over 128 days from all 80 steers. To define the suitability of T RUM as an estimation of T CORE , T REC were obtained from all steers at 7-day intervals (n = 16). Eight feedlot pens were used where there were 10 steers per pen (162 m ² ). Shade was available in each pen (1.8 m ² /animal; 90% solar block). Climatic data were recorded at 30-min intervals, including ambient temperature (T A ; °C); relative humidity (RH; %); wind speed (WS; m/s) and direction; solar radiation (SR; W/m ² ); and black globe temperature (BGT; °C). Rainfall (mm) was recorded daily at 0900 h. From these data, temperature humidity index (THI), heat load index (HLI) and accumulated heat load (AHL) were calculated. Individual 10-min T RUM data were converted to an individual hourly average. Pooled mean hourly T RUM data from the 128-day data were used to establish the diurnal rhythm of T RUM where the mean minimum (39.19 ± 0.01 °C) and mean maximum (40.04 ± 0.01 °C) were observed at 0800 h and 2000 h respectively. A partial correlation coefficient indicated that there were moderate to strong relationships between T RUM and T REC using both real-time (r = 0.55; P < 0.001) and hourly mean (r = 0.51; P < 0.001) T RUM data. The mean difference between T REC and T RUM was small using both real-time (0.16 ± 0.02 °C) and hourly mean T RUM (0.13 ± 0.02 °C) data. Data from this study supports the hypothesis that T RUM can be used as an estimate of T CORE , suggesting that T RUM can be used to measure and quantify heat load in feedlot cattle.
Article
Heat stress during late gestation in cattle negatively impacts the performance of the dam and its calf. This brief exposure to an adverse environment before parturition impacts the physiological responses, tissue development, metabolism and immune function of the dam and her offspring, thereby limiting their productivity. During the dry period of a dairy cow, heat stress blunts mammary involution by attenuating mammary apoptosis and autophagic activity, and reduces subsequent mammary cell proliferation, leading to impaired milk production in the next lactation. Dairy cows in early lactation that experience prepartum heat stress display reduced adipose tissue mobilization and lower degree of insulin resistance in peripheral tissues. Similar to mammary gland development, placental function is impaired by heat stress as evidenced by reduced secretion of placental hormones (e.g., estrone sulfate) in late gestation cows, which partly explains the reduced fetal growth rate and lighter birth weight of the calves. Compared with dairy calves born to dams that are exposed to evaporative cooling during summer, calves born to non-cooled dry cows maintain lower body weight until 1 yr of age, but display a stronger ability to absorb glucose during metabolic challenges postnatally. Immunity of the calves, both passive and cell-mediated immune function, is also impaired by prenatal heat stress, resulting in increased susceptibility of the calves to diseases in their postnatal life. In fact, dairy heifers born to heat-stressed dry cows without evaporative cooling have a greater chance leaving the herd before puberty compared with heifers born to dry cows provided with evaporative cooling (12.2 vs. 22.7%). Dairy heifers born to late gestation heat-stressed dry cows have lower milk yield at maturity during their first and second lactations. Emerging evidence suggest that late gestation heat stress alters the mammary gland microstructure of the heifers during the first lactation, and exerts epigenetic alterations that might explain, in part their impaired productivity.
Article
Heat stress during late gestation, such as the dry period between two successive lactations, negatively impacts the performance of the dam and its calf. This brief exposure of the adverse environment before parturition impacts the physiological responses, tissue development, metabolism and immune function of the dam and offspring, thereby limiting their productivity. During the dry period, heat stress blunts mammary involution by attenuating mammary autophagic activity, and reduces following mammary cell proliferation, leading to impaired milk production in the subsequent lactation. As a result, early lactating cows that experience prepartum heat stress display reduced adipose tissue mobilization and lower degree of insulin resistance on peripheral tissues. Similar to mammary gland development, the placental function is impaired by heat stress as evidenced by reduced secretions of placental hormones in late gestating cows, which explains the reduced fetal growth rate and lighter birth weight of the calves. Compared with those from cooled dams, calves born to heat-stressed dry cows maintain lower body weight until one year of age, but display a stronger ability to absorb glucose during metabolic challenges postnatally. Immunity of the calves, such as passive and cell-mediated immune function, is also reduced by prenatal heat stress, resulting in increased susceptibility of the calves to diseases in their postnatal life. In fact, calves that experience maternal heat stress during late gestation have reduced survival rate before puberty. Study also indicates that heifers born to late gestation heat-stressed cows have lower milk production during their first lactation, and emerging evidence suggest that the epigenetic modification on mammary gland development by maternal heat stress may be one of the mechanisms to mediate this effect.