ArticlePDF AvailableLiterature Review

Symposium review: Development of a funding program to support research on enteric methane mitigation from ruminants

Authors:
  • Innovation Center for U.S. Dairy

Abstract

Enteric methane is a major source of greenhouse gas emissions from milk production systems. Two organizations based in the United States, the Foundation for Food and Agriculture Research and the Dairy Research Institute, have developed a collaborative program to align resources and fund projects to identify, develop, and validate new and existing mitigation options for enteric methane emissions from dairy and beef cattle. This collaborative program is called the Greener Cattle Initiative. The program will develop requests for proposals and award grants on projects that address challenges within, but not limited, to the following research areas: dairy and beef cattle nutrition, rumen microbiome, dairy and beef cattle genetics, sensing and data technology for enteric methane measurement and prediction, and socioeconomic analysis of enteric methane mitigation practices. The program is structured as a consortium with closed participation and a flat governance collaboration model. The Greener Cattle Initiative program will continue incorporating participants from the food and agriculture industry, commodity groups, and nonprofit organizations who share common objectives and contribute in-kind and matching funds to the program, up to a total of 10 organizations. Research findings will be communicated broadly, after a waiting period for exclusive access to program participants, to create shared knowledge on enteric methane mitigation. The Greener Cattle Initiative is expected to award up to $5 million in research grant funding in a 5-year period, which will contribute to advancing the voluntary greenhouse gas reduction goals established by both the United States and global dairy sectors.
ABSTRACT
Enteric methane is a major source of greenhouse gas
emissions from milk production systems. Two organiza-
tions based in the United States, the Foundation for
Food and Agriculture Research and the Dairy Research
Institute, have developed a collaborative program to
align resources and fund projects to identify, develop,
and validate new and existing mitigation options for
enteric methane emissions from dairy and beef cattle.
This collaborative program is called the Greener Cat-
tle Initiative. The program will develop requests for
proposals and award grants on projects that address
challenges within, but not limited, to the following
research areas: dairy and beef cattle nutrition, rumen
microbiome, dairy and beef cattle genetics, sensing
and data technology for enteric methane measurement
and prediction, and socioeconomic analysis of enteric
methane mitigation practices. The program is struc-
tured as a consortium with closed participation and
a flat governance collaboration model. The Greener
Cattle Initiative program will continue incorporating
participants from the food and agriculture industry,
commodity groups, and nonprofit organizations who
share common objectives and contribute in-kind and
matching funds to the program, up to a total of 10
organizations. Research findings will be communicated
broadly, after a waiting period for exclusive access to
program participants, to create shared knowledge on
enteric methane mitigation. The Greener Cattle Initia-
tive is expected to award up to $5 million in research
grant funding in a 5-year period, which will contribute
to advancing the voluntary greenhouse gas reduction
goals established by both the United States and global
dairy sectors.
Key words: dairy, enteric methane, funding
INTRODUCTION
Enteric methane is a major source of greenhouse gas
emissions from milk and beef production systems that
contribute to global warming. Enteric fermentation is
the second largest source of methane emissions after
natural gas and petroleum systems, and the second
largest source of agricultural greenhouse gas emissions
in the United States after nitrous oxide emissions from
managed soils (US EPA, 2021). Mitigation of enteric
methane emissions is a major focus of farmer-led vol-
untary efforts by the dairy sector in the United States
to meet environmental stewardship goals announced
publicly in the U.S. Dairy Stewardship Commitment
(Innovation Center for US Dairy, 2020). Similar goals
to accelerate climate change action and reduce green-
house gas emissions were announced recently by the
global dairy sector (Global Dairy Platform, 2021).
Mitigation of enteric methane from ruminants is
not a novel field of research. However, the number of
scientific publications in this area increased rapidly in
the last 2 decades due to the emphasis placed on the
effects of greenhouse gas emissions on climate change
(Beauchemin et al., 2020). Many articles reviewed the
scientific literature on enteric methane mitigation op-
tions (Hristov et al., 2013a; Knapp et al., 2014; Negussie
et al., 2017; Beauchemin et al., 2020; Lassen and Dif-
ford, 2020). Arndt et al. (2022) recently conducted a
meta-analysis to examine 98 enteric methane mitiga-
tion options from a comprehensive data set of treat-
ment means from 425 peer-reviewed studies published
between 1963 and 2018. They found that most of the
options (63 out of 98, or 64%) were not successful in
Symposium review: Development of a funding program to support
research on enteric methane mitigation from ruminants*
J. M. Tricarico,1 Y. de Haas,2 A. N. Hristov,3 E. Kebreab,4 T. Kurt,5 F. Mitloehner,4 and D. Pitta6
1Innovation Center for US Dairy, Rosemont, IL 60018
2Animal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the Netherlands
3Department of Animal Science, The Pennsylvania State University, University Park 16802
4Department of Animal Science, University of California, Davis 95616
5Foundation for Food and Agriculture Research, Washington DC 20004
6Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square 19348
J. Dairy Sci. 105
https://doi.org/10.3168/jds.2021-21397
© 2022, The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®.
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Received October 8, 2021.
Accepted March 30, 2022.
*Presented as part of the Production, Management and the
Environment Fall Webinar: Advances in Enteric Methane Mitigation
in Dairy Cattle—The Last Decade and Future Prospects at the ADSA
Annual Meeting Webinar Series, September 2021.
†Corresponding author: Juan.Tricarico@ dairy .org
Journal of Dairy Science Vol. 105 No. Sym, 2022
mitigating enteric methane. These authors also found
that only 5 options reduced enteric methane production
(g/d) and emissions intensity (g/kg of ECM or ADG)
without negatively affecting milk production (ECM),
and only 3 options reduced emissions intensity while
increasing animal productivity (ADG). This suggests
that many challenges remain in identifying, develop-
ing, and validating effective enteric methane mitigation
options that result in net emissions reductions for milk
and beef production that will also meet farmers’ and
broad socioeconomic needs.
Detailed discussion of enteric methane mitigation op-
tions is beyond the scope of this article. The contents
of this article were presented at the ADSA symposium
titled “Production, Management and the Environment
Fall Webinar: Advances in Enteric Methane Mitiga-
tion in Dairy Cattle—The Last Decade and Future
Prospects.” Its objectives are to review and synthesize
research challenges presented at the symposium and de-
scribe a program developed to address these challenges
by funding enteric methane mitigation research, called
the Greener Cattle Initiative (https: / / foundationfar
.org/ consortia/ greener -cattle -initiative/ ; last accessed
on Feb. 25, 2022).
ENTERIC METHANE AND OPPORTUNITIES
TO ADDRESS CLIMATE CHANGE
Unlike other sources of greenhouse gas emissions,
such as those from fossil fuel extraction and distribu-
tion that only contribute to atmospheric greenhouse
gases, milk production systems are part of the biologi-
cal carbon cycle and can function as a sink for green-
house gases, thereby contributing to reverting climate
change (Le Quéré et al., 2018). During the sympo-
sium, F. Mitloehner (University of California, Davis)
emphasized that methane has a substantially shorter
atmospheric lifetime than carbon dioxide and nitrous
oxide. Because emitted methane is continuously re-
moved from the atmosphere by hydroxyl oxidation,
its atmospheric warming effects depend on the rate of
emissions increase or decrease over the last 20 years
rather than the total cumulative amount emitted over
that period (Allen et al., 2018). The consequence of
this behavior is that mitigation of enteric methane
production at rates greater than its natural rate of
oxidation reduces atmospheric methane concentra-
tions, effectively reverting climate change effects
(Lynch et al., 2020). In other words, mitigating en-
teric methane production has an effect on atmospheric
warming similar to removing a fixed amount of carbon
dioxide from the atmosphere by sequestering it in soil
or plant matter (for example, by afforestation). Cain
et al. (2019) found that sustained annual reductions
of 0.3% in methane production are sufficient for at-
mospheric warming from methane to remain stable
over time. The implication is that mitigation of en-
teric methane production greater than 0.3% annually
that is sustained over time (i.e., year-over-year) could
be used to offset the atmospheric warming effects of
carbon dioxide and nitrous oxide emissions from milk
production systems. In this way, sustained mitigation
of enteric methane production becomes a valuable tool
for dairy value chains to meet their greenhouse gas
reduction goals. This opportunity to revert climate
change effects by focusing on mitigation of enteric
methane production places milk production systems
in a unique position to convert climate impact into
societal benefit.
GREENER CATTLE INITIATIVE TO FUND
ENTERIC METHANE RESEARCH
As presented by J. M. Tricarico (Innovation Center
for US Dairy) during the symposium, the Foundation
for Food and Agriculture Research (FFAR) and the
Dairy Research Institute (DRI) jointly developed the
Greener Cattle Initiative as a pre-competitive program
to support collaborative research on enteric methane
mitigation from ruminants. The FFAR is a 501(c)(3)
nonprofit organization, created by the US Congress to
complement the work of the United States Department
of Agriculture. The FFAR builds unique public-private
partnerships to support innovative science addressing
today’s food and agriculture challenges. The DRI is a
501(c)(3) nonprofit organization affiliated with the In-
novation Center for US Dairy, created to strengthen ac-
cess to and investment in the technical research required
to drive innovation and demand for dairy products and
ingredients domestically and abroad. Both FFAR and
DRI have agreed to identify additional organizations
from the food and agriculture industry, commodity
groups, and nonprofits that share similar scientific and
educational objectives for enteric methane mitigation
and are willing to contribute financially to the initia-
tive. The overall goal for the Greener Cattle Initiative
is to leverage resources through in-cash and in-kind
contributions to award multiple grants in response to
requests for proposals. The research objectives are to
identify, develop, and validate new and existing sci-
entifically sound, commercially feasible, and socially
responsible mitigation options for enteric methane
emissions from dairy and beef cattle (Figure 1). The
following critical areas for research were identified by
FFAR and DRI to develop requests for proposals under
the Greener Cattle Initiative:
Tricarico et al.: PRODUCTION, MANAGEMENT AND THE ENVIRONMENT
Journal of Dairy Science Vol. 105 No. Sym, 2022
Dairy and beef cattle nutrition to incorporate com-
pounds fed in low quantities (equal to or less than
1% dietary DM) that directly or indirectly inhibit
enteric methane emissions without negative im-
pacts on animal performance, and feed ingredients
that alter ruminal metabolic pathways away from
methanogenesis when they are fed at quantities
that require diet reformulation,
Rumen microbiome to understand how its compo-
sition and activity influences methane formation
and its inhibition,
Sensing and data technology for enteric methane
measurement and prediction such as sensors, ro-
bots, artificial intelligence systems, and more,
to monitor enteric methane emissions or related
physiological indicators and markers and manage
individual animals to reduce emissions,
Dairy and beef cattle genetics to develop selection
traits and programs that allow selective breeding
of low methane-emitting cattle, and
Socioeconomic analysis of enteric methane mitiga-
tion options.
The development of effective enteric methane mitiga-
tion options that also meet economic and social re-
quirements for adoption requires research across these
various disciplines and possibly others. The following
section will briefly describe research needs and chal-
lenges specific to dairy cattle that are related to the
research areas listed, and were presented during the
symposium by A. N. Hristov (The Pennsylvania State
University), D. Pitta (University of Pennsylvania),
E. Kebreab (University of California, Davis), F. Mit-
loehner (University of California, Davis), Y. de Haas
Tricarico et al.: PRODUCTION, MANAGEMENT AND THE ENVIRONMENT
Figure 1. Areas of focus and expected impacts for research funds awarded by the Greener Cattle Initiative to identify, develop, evaluate, and
validate enteric methane mitigation options for beef and dairy cattle.
Journal of Dairy Science Vol. 105 No. Sym, 2022
(Wageningen University & Research), and J. M. Tri-
carico (Innovation Center for US Dairy).
RESEARCH NEEDS AND CHALLENGES
FOR ENTERIC METHANE MITIGATION
IN DAIRY CATTLE
Dairy Cattle Nutrition
Research on nutrition- and management-based enteric
methane mitigation options must continue and expand
to support identification and adoption of mitigation
options and better understand their consequences on
animal health, well-being, productivity, and product
quality. Better delivery mechanisms are needed for nu-
tritionally based mitigation options, especially under
grazing conditions (Beauchemin et al., 2020). Long-
term experiments are needed to examine the effects of
mitigation options on animal health, well-being, and
reproduction over a full lactation and multiple lacta-
tions. Long-term experiments are also needed to study
adaptation by the ruminal microbiome and the animal
to mitigation options. Appropriate experiments will
also be valuable to examine the long-term effects of
prolonged inhibition of methanogens or alteration of
ruminal fermentation pathways. It is also important to
understand the impacts nutritional mitigation options
can have on milk composition, shelf life, sensory at-
tributes, and consumer perception of dairy foods and
how they are produced. Finally, research exploring the
effects on dairy cow manure composition and manure
and soil emissions resulting from mitigation options
based on nutrition and feeding management, inhibition
of methanogens, or alteration of fermentation pathways
is also critically important.
Rumen Microbiome
Enteric methane is formed exclusively by metha-
nogens that use fermentation end products, such as
carbon dioxide and hydrogen, and keep the rumen in
a reduced state, allowing microbial feed digestion to
continue. Therefore, understanding how the ruminal
microbiome affects enteric methane emissions by dairy
cattle is another focus area for research that could
deliver both short- and long-term benefits. Knowledge
gaps in this area include improved understanding of
the relationships between fungi, bacteria, protozoa, and
archaea (i.e., methanogens) and how these interactions
affect methanogenesis, microbe-animal (host) interac-
tions, ruminal biochemical transactions including their
thermodynamic regulation, and how the microbiome
is influenced by the host, dietary reformulation, and
feeding practices. Information on the production rates
of volatile and branched-chain fatty acids resulting
from ruminal fermentation is also warranted. Explor-
ing methanogenic diversity and how their relative
contributions to methanogenesis vary by breed and
with fluctuating levels of forage and concentrate in the
diet is desirable. This type of research will help explain
differences in enteric methane emissions and the effec-
tiveness of mitigation options between confined feeding
and grazing systems. Also, determining the effect of
different mitigation options on individual methanogen
species (Pitta et al., 2021) and alternate hydrogen sinks
(Greening et al., 2019) would allow identification of
complementary options to further reduce methane for-
mation in the rumen. For example, this type of research
may help identify combinations of mitigation options
that are more effective based on the expected metha-
nogen diversity in animals under specific management
and environmental conditions. Finally, research explor-
ing the impact of applying interventions early in the life
of the animal on enteric methane production later in
life is also of interest (Meale et al., 2021).
Sensing and Data Technology for Enteric Methane
Measurement and Prediction
The importance of measuring and accurately predict-
ing both enteric methane emissions and the reductions
due to the adoption of mitigation options cannot be
overstated. Biophysical research to explore and develop
new sensing technology or new uses for existing sensing
technology is fundamental for accurate and robust en-
teric methane measurements and predictions (Negussie
et al., 2017). Easily measured physiological indicators
that can be used as robust estimates of enteric meth-
ane emissions and effects of mitigation options will be
critical to test and validate these options in sufficiently
large numbers of animals to provide confidence in the
response (Patra, 2016). The main challenge with indica-
tor variables is that accuracy is usually compromised,
and more accurate methods, such as using respiration
chambers, are laborious, slow, and expensive, thus
limiting the number of mitigation options and animals
that can be tested. The application of indirect indicator
methods in large numbers of animals will be valuable to
investigate the relationships between improving animal
health and enteric methane abatement that currently
have limited evidence (Hristov et al., 2013b). Data
collection, aggregation, and synthesis are also crucial
to increasing confidence in enteric methane mitigation
estimates. Increased confidence in mitigation estimates
is needed to develop socioeconomic innovation that en-
courages adoption of mitigation options. For example,
the development of robust and verifiable methodologies
to quantify enteric methane reductions is critical for
Tricarico et al.: PRODUCTION, MANAGEMENT AND THE ENVIRONMENT
Journal of Dairy Science Vol. 105 No. Sym, 2022
the creation of enteric methane mitigation-based cred-
its to be transacted in voluntary and compliance offset
markets (Allen et al., 2021).
Dairy Cow Genetics
Selectively breeding dairy cattle that naturally pro-
duce lower enteric methane emissions is an attractive
mitigation option that is cost-effective, permanent,
and cumulative (de Haas et al., 2021). This is possible
because enteric methane emissions are under a degree
of genetic control and are therefore heritable (de Haas
et al., 2021). Heritability estimates for methane emis-
sions in dairy cows range between 0.05 and 0.27, but
most estimates are >0.20 (Lassen and Difford, 2020).
Selection indexes that include multiple traits will need
to incorporate a methane emissions trait to ensure
that breeding programs are balanced. This is not an
easy task, as the methane emissions trait needs to be
defined, recordable, affordable, heritable, and represen-
tative of the phenotypic variation onto which selection
pressure is applied. In addition, its genetic correlations
with other traits within the breeding goal need to be
known to obtain EBV with reasonable accuracy. Four
candidate phenotypes are currently available to poten-
tially develop enteric methane emissions traits (de Haas
et al., 2017). These are methane production (g/d),
methane yield (g/kg of DMI), methane intensity (g/
kg of ECM or ADG), and residual methane production
(grams of methane regressed on DMI, BW, and ECM).
Research is required to understand the advantages and
limitations of each of these options. In addition, selec-
tive breeding takes advantage of genetic variation and
therefore requires multiple generations for its effects to
accumulate over time. Both pedigree-based selection
and genomic-based selection will require phenotyping
and genotyping large numbers of animals, which un-
derscores the importance of developing sensor and in-
dicator technologies, as described earlier. For example,
de Haas et al. (2021) estimate that phenotypes from
15,000 cows are required to achieve the reliability nec-
essary for genomic predictions on enteric methane pro-
duction within the Dutch breeding goal. In summary,
selective breeding can make a valuable contribution to
a portfolio of enteric methane mitigation options that
also include nutrition and management.
Socioeconomic Analysis
The discovery of new enteric methane mitigation op-
tions, by itself, is not enough for the dairy sector to
meet its environmental stewardship goals on climate
change. Mitigation options need to be deployed by a
substantial number of dairy farmers to achieve the
desired results. This task will become feasible when in-
novation in the biological and physical sciences, leading
to the development of new enteric methane mitigation
options, is accompanied by socioeconomic innovation
to drive their adoption. Innovation in economic and so-
cial fields is critical to creating favorable environments,
where adoption of enteric methane mitigation options
by dairy farmers is incentivized. The desirable goal is
to empower dairy farmers to incorporate mitigation
options into their operations because they are environ-
mentally and economically advantageous, recognized
through measurement and recording, and reputation-
ally rewarded.
Successful incorporation of enteric methane mitiga-
tion options into business models through pricing is
essential, but this is not the only requirement to ac-
celerate their adoption. The development of marginal
abatement cost curves is a valuable approach to rank
the cost-effectiveness of different enteric methane miti-
gation options and should be included in the socioeco-
nomic analyses (Eory et al., 2018). Complexity of use
associated with some mitigation options also represents
a significant barrier to adoption (Owen et al., 2012). For
example, the failure to adopt urea-ammonia treatment
to increase the nutritive value of straws, as reported
by Owen et al. (2012). This means that attention is
also needed to develop and test alternative financial
mechanisms, various modes of delivering technical as-
sistance, and innovative approaches to partnerships
to address existing barriers. Transparency concerning
milk production practices and enteric methane mitiga-
tion efforts is indispensable to ensure that consumers
trust the value chain that delivers nutritious milk and
dairy foods to them. Innovation, consensus building,
and clear communication are critical for dairy supply
chains to meet their climate change goals and for the
public to perceive them appropriately.
Innovation is also required in the regulatory environ-
ment in the United States because the current environ-
ment does not include clearly defined pathways specific
for options that target enteric methane mitigation.
For example, animal feed and health companies that
develop enteric methane inhibitors currently need to
pursue regulatory pathways that were developed to es-
tablish functional claims for drugs, such as compounds
to cure, prevent, treat, or mitigate disease conditions
or that change bodily structures or functions (United
States Food and Drug Administration, 2022). Different
regulatory mechanisms need to be developed that are
specific for environmental claims to incentivize innova-
tion in enteric methane mitigation.
Finally, the challenge of larger financial invest-
ments for enteric methane mitigation options is always
present. Private companies are currently investing to
Tricarico et al.: PRODUCTION, MANAGEMENT AND THE ENVIRONMENT
Journal of Dairy Science Vol. 105 No. Sym, 2022
develop enteric methane mitigation options without
clarity on how and when they may capitalize on market
opportunities, particularly if the options do not also of-
fer additional economic benefits. Associations and non-
governmental organizations are investing in research to
measure, test, and understand both the impacts and
the opportunities afforded by options that promise en-
teric methane mitigation. Yet, simultaneously, public
spending in the United States on agricultural research
and development to address climate change while in-
creasing food production is shrinking and is currently
below the level of private sector investment (Clancy et
al., 2016; Economic Research Service 2019). Govern-
ment is a critical funder of research and in many cases
represents the only funding available. As such, a need
exists to increase, reorganize, and leverage research
funding from public and private sources to encourage
scientific pursuits that can build the basis for innova-
tion by private funders looking to capitalize on market-
place opportunities.
EVALUATING ENTERIC METHANE MITIGATION
OPTIONS
The accurate estimation of emissions and remov-
als resulting from the adoption of enteric methane
mitigation options by dairy farmers requires integrated
systems approaches. For example, the quantification
of net greenhouse gas emissions associated with the
production and distribution of feed additives to miti-
gate enteric methane emissions requires following the
guidelines developed by the Livestock Environmental
Assessment and Performance Partnership (LEAP) of
the Food and Agriculture Organization of the United
Nations (FAO, 2020). A life cycle assessment approach
is required to conduct cradle-to-farm gate environmen-
tal impact analyses to account for upstream and down-
stream effects of mitigation options according to these
guidelines. Meta-analyses are also critical to quantify
the effectiveness of enteric methane mitigation options.
This is because the sign and magnitude of the response
often depend on the context and landscape in which
each dairy farm operates. The management and envi-
ronmental conditions, such as the animal life stage and
genetic makeup, additive dose, type of feeding, mitiga-
tion option delivery, and dietary composition, affect
the expected mitigation response. Adequate research
is needed for meta-analyses to be conducted for each
mitigation option.
Quantifying the effects of adding mitigation options
or changing milk production practices is extremely
difficult without the ability to model whole-farm sys-
tems (Kebreab et al., 2019). Whole-farm models are
also required to evaluate connections between system
components that physical research cannot practically
investigate and, in many instances, can provide infor-
mation less expensively and more quickly than physical
experimentation. Research is needed to support the
development of integrated models that simulate the
flows of carbon through the entire dairy farm under
different management and environmental conditions.
These models could benefit from the extensive amounts
of data currently collected on commercial dairy farms
(Cabrera et al., 2020). In addition, it is essential to
understand the implications that enteric methane miti-
gation options could have on the local, regional, and
global food systems. These different levels of aggrega-
tion represent an important challenge that can only
be addressed through the development, validation, and
application of whole-farm, landscape, and dairy sector
models.
GREENER CATTLE INITIATIVE COLLABORATIVE
STRUCTURE
The Greener Cattle Initiative was established to
function over the course of 5 years, with the expec-
tation that positive results will encourage funders to
extend the timeline and funds available. The collabora-
tion model for the program reflects the collaborative
structure defined as a consortium by Pisano and Ver-
ganti (2008)—namely, a closed participation model
with a flat governance. Focus on developing strong
relationships within the participants and identifying
and engaging with experts within their corresponding
networks will be critical to address the limitations asso-
ciated with the closed model involving few participants.
In addition, flexible but clearly defined rules and pro-
cesses are necessary to drive participant collaboration
toward common goals that are sometimes challenging
to achieve with flat governance structures.
A group of up to 10 participating organizations will
comprise a steering committee. This steering commit-
tee will determine the scientific scope, the strategic
direction, the project review and approval process, and
new participant recruitment. Each organization will
have one seat on the steering committee and will hold
a single vote. All decisions affecting requests for pro-
posals, projects awarded, or major decisions relative
to the initiative’s operations will be made by major-
ity vote. Both FFAR and DRI will function as final
arbiters when the decision-making process does not
result in a clear outcome. The program director will
be an individual hired by DRI to manage day-to-day
operations of the initiative according to the direction
set by the steering committee. The FFAR will act as
disbursement facilitator for all project funds to grant-
ees leveraging the infrastructure and processes it has
Tricarico et al.: PRODUCTION, MANAGEMENT AND THE ENVIRONMENT
Journal of Dairy Science Vol. 105 No. Sym, 2022
already developed for this purpose. Specific informa-
tion on how to submit proposals will become avail-
able after the program is launched and requests for
proposals are announced. Steering committee members
will receive knowledge of the results developed in all
projects before publication, enabling early evaluation
of their interests in licensing any corresponding intel-
lectual property.
CONCLUSIONS
Global challenges, such as enteric methane mitiga-
tion and its contribution to climate change, cannot
be solved by one organization. Addressing these chal-
lenges requires collaboration among many organiza-
tions and across different sectors. Collaboration under
the Greener Cattle Initiative is meant to establish
and articulate a clear path forward for coordinated
action among stakeholders in the public and private
sectors. Its purpose is to catalyze progress by pool-
ing resources and utilizing them more effectively for
experts to conduct research to identify, develop, and
validate enteric methane mitigation options. This
program represents an opportunity for participants
across the beef and dairy sectors to collaborate toward
a common goal. Involvement by farmers, feed compa-
nies, animal health and genetics companies, and other
value chain stakeholders will result in research efforts
that are informed by participants across the beef and
dairy sectors, targeting mitigation options that are
practical and implementable at scale. Focusing on
pre-competitive research enables leveraging invest-
ments and resources to create shared knowledge that
can be used as a platform for individual organizations
and companies, including competitors, to develop new
marketable mitigation options. This approach for pre-
competitive, collaborative research aims to accelerate
innovation on enteric methane mitigation and provide
lasting value to businesses, society, and the environ-
ment.
Public-private partnerships represent the most attrac-
tive opportunity for strategic collaboration to address
challenges facing the development of enteric methane
mitigation options in a coordinated effort. Collabora-
tion between the private and public sectors is critical
for identifying mitigation options and encouraging ac-
tion by dairy sector participants while continuing to
improve the availability of safe and nutritious milk and
dairy foods. The Greener Cattle Initiative is expected
to award up to 5 million dollars in research grant fund-
ing within the next 5 years, which will contribute to
advancing the voluntary greenhouse gas reduction goals
established by both the United States and global dairy
sectors.
ACKNOWLEDGMENTS
The Innovation Center for US Dairy provided funding
to ADSA as the exclusive sponsor for the symposium
titled “Production, Management and the Environment
Fall Webinar: Advances in Enteric Methane Mitigation
in Dairy Cattle—The Last Decade and Future Pros-
pects.” The authors have not stated any conflicts of
interest.
REFERENCES
Allen, M., K. Tanaka, A. Macey, M. Cain, S. Jenkins, J. Lynch, and
M. Smith. 2021. Ensuring that offsets and other internationally
transferred mitigation outcomes contribute effectively to limiting
global warming. Environ. Res. Lett. 16:074009. https: / / doi .org/ 10
.1088/ 1748 -9326/ abfcf9.
Allen, M. R., K. P. Shine, J. S. Fuglestvedt, R. J. Millar, M. Cain, D.
J. Frame, and A. H. Macey. 2018. A solution to the misrepresenta-
tions of CO2-equivalent emissions of short-lived climate pollutants
under ambitious mitigation. NPJ Clim. Atmos. Sci. 1:16. https: / /
doi .org/ 10 .1038/ s41612 -018 -0026 -8.
Arndt, C., A. N. Hristov, W. J. Price, S. C. McClelland, A. M. Pelaez,
S. F. Cueva, J. Oh, A. Bannink, A. R. Bayat, L. A. Crompton, J.
Dijkstra, M. A. Eugène, D. Enahoro, E. Kebreab, M. Kreuzer, M.
McGee, C. Martin, C. J. Newbold, C. K. Reynolds, A. Schwarm,
K. J. Shingfield, J. B. Veneman, D. R. Yáñez-Ruiz, and Z. Yu.
2022. Full adoption of the most effective strategies to mitigate
methane emissions by ruminants can help meet the 1.5°C target by
2030 but not 2050. Proc. Natl. Acad. Sci. USA 119:e2111294119.
Beauchemin, K. A., E. M. Ungerfeld, R. J. Eckard, and M. Wang.
2020. Fifty years of research on rumen methanogenesis: Lessons
learned and future challenges for mitigation. Animal 14:s2–s16.
https: / / doi .org/ 10 .1017/ S1751731119003100.
Cabrera, V. E., J. A. Barrientos-Blanco, H. Delgado, and L. Fadul-
Pacheco. 2020. Symposium review: Real-time continuous decision
making using big data on dairy farms. J. Dairy Sci. 103:3856–3866.
https: / / doi .org/ 10 .3168/ jds .2019 -17145.
Cain, M., J. Lynch, M. R. Allen, J. S. Fuglestvedt, D. J. Frame, and
A. H. Macey. 2019. Improved calculation of warming-equivalent
emissions for short-lived climate pollutants. NPJ Clim. Atmos. Sci.
2:29. https: / / doi .org/ 10 .1038/ s41612 -019 -0086 -4.
Clancy, M., K. Fuglie, and P. Heisey. 2016. US Agricultural R&D in
an Era of Falling Public Funding. Accessed Aug. 10, 2021. https:
/ / www .ers .usda .gov/ amber -waves/ 2016/ november/ us -agricultural
-r -d -in -an -era -of -falling -public -funding/ .
de Haas, Y., M. Pszczola, H. Soyeurt, E. Wall, and J. Lassen. 2017.
Invited review: Phenotypes to genetically reduce greenhouse gas
emissions in dairying. J. Dairy Sci. 100:855–870. https: / / doi .org/
10 .3168/ jds .2016 -11246.
de Haas, Y., R. F. Veerkamp, G. de Jong, and M. N. Aldridge. 2021.
Selective breeding as a mitigation tool for methane emissions from
dairy cattle. Animal 15:100294. https: / / doi .org/ 10 .1016/ j .animal
.2021 .100294.
Economic Research Service. 2019. Agricultural Research Funding in
the Public and Private Sectors. United States Department of Ag-
riculture. Accessed Aug. 10, 2021. https: / / www .ers .usda .gov/ data
-products/ agricultural -research -funding -in -the -public -and -private
-sectors/ .
Eory, V., S. Pellerin, G. Carmona Garcia, H. Lehtonen, I. Licite, H.
Mattila, T. Lund-Sørensen, J. Muldowney, D. Popluga, L. Strand-
mark, and R. Schulte. 2018. Marginal abatement cost curves for
agricultural climate policy: State-of-the art, lessons learnt and
future potential. J. Clean. Prod. 182:705–716. https: / / doi .org/ 10
.1016/ j .jclepro .2018 .01 .252.
FAO. 2020. Environmental performance of feed additives in livestock
supply chains—Guidelines for assessment—Version 1. Livestock
Environmental Assessment and Performance Partnership (FAO
Tricarico et al.: PRODUCTION, MANAGEMENT AND THE ENVIRONMENT
Journal of Dairy Science Vol. 105 No. Sym, 2022
LEAP). Food and Agriculture Organization of the United Nations.
https: / / doi .org/ 10 .4060/ ca9744en.
Global Dairy Platform. 2021. Pathways to Dairy Net Zero. Ac-
cessed Oct. 1, 2021. https: / / www .globaldairyplatform .com/
pathwaystodairynetzero/ .
Greening, C., R. Geier, C. Wang, L. C. Woods, S. E. Morales, M.
J. McDonald, R. Rushton-Green, X. C. Morgan, S. Koike, S. C.
Leahy, W. J. Kelly, I. Cann, G. T. Attwood, G. M. Cook, and R.
I. Mackie. 2019. Diverse hydrogen production and consumption
pathways influence methane production in ruminants. ISME J.
13:2617–2632. https: / / doi .org/ 10 .1038/ s41396 -019 -0464 -2.
Hristov, A. N., J. Oh, J. L. Firkins, J. Dijkstra, E. Kebreab, G. Wag-
horn, H. P. S. Makkar, A. T. Adesogan, W. Yang, C. Lee, P. J.
Gerber, B. Henderson, and J. M. Tricarico. 2013a. Special topics—
Mitigation of methane and nitrous oxide emissions from animal
operations: I. A review of enteric methane mitigation options. J.
Anim. Sci. 91:5045–5069. https: / / doi .org/ 10 .2527/ jas .2013 -6583.
Hristov, A. N., T. Ott, J. M. Tricarico, A. Rotz, G. Waghorn, A.
T. Adesogan, J. Dijkstra, F. Montes, J. Oh, E. Kebreab, S. J.
Oosting, P. J. Gerber, B. Henderson, H. P. S. Makkar, and J.
L. Firkins. 2013b. Special topics—Mitigation of methane and ni-
trous oxide emissions from animal operations: III. A review of ani-
mal management mitigation options. J. Anim. Sci. 91:5095–5113.
https: / / doi .org/ 10 .2527/ jas .2013 -6585.
Innovation Center for US Dairy. 2020. US Dairy Stewardship Com-
mitment. Accessed Sep. 23, 2021. https: / / www .usdairy .com/
getattachment/ f2bf0217 -3f4b -4b04 -9500 -45c85c61bc82/ u -s -dairy
-stewardship -commitment .pdf ?lang = en -US & ext = .pdf.
Kebreab, E., K. F. Reed, V. E. Cabrera, P. A. Vadas, G. Thoma, and
J. M. Tricarico. 2019. A new modeling environment for integrated
dairy system management. Anim. Front. 9:25–32. https: / / doi .org/
10 .1093/ af/ vfz004.
Knapp, J. R., G. L. Laur, P. A. Vadas, W. P. Weiss, and J. M. Tri-
carico. 2014. Invited review: Enteric methane in dairy cattle pro-
duction: Quantifying the opportunities and impact of reducing
emissions. J. Dairy Sci. 97:3231–3261. https: / / doi .org/ 10 .3168/ jds
.2013 -7234.
Lassen, J., and G. F. Difford. 2020. Genetic and genomic selection as a
methane mitigation strategy in dairy cattle. Animal 14:s473–s483.
https: / / doi .org/ 10 .1017/ S1751731120001561.
Le Quéré, C., R. M. Andrew, P. Friedlingstein, S. Sitch, J. Hauck, J.
Pongratz, P. A. Pickers, J. I. Korsbakken, G. P. Peters, J. G. Ca-
nadell, A. Arneth, V. K. Arora, L. Barbero, A. Bastos, L. Bopp,
F. Chevallier, L. P. Chini, P. Ciais, S. C. Doney, T. Gkritzalis, D.
S. Goll, I. Harris, V. Haverd, F. M. Hoffman, M. Hoppema, R. A.
Houghton, G. Hurtt, T. Ilyina, A. K. Jain, T. Johannessen, C. D.
Jones, E. Kato, R. F. Keeling, K. K. Goldewijk, P. Landschützer,
N. Lefèvre, S. Lienert, Z. Liu, D. Lombardozzi, N. Metzl, D. R.
Munro, J. E. M. S. Nabel, S. Nakaoka, C. Neill, A. Olsen, T. Ono,
P. Patra, A. Peregon, W. Peters, P. Peylin, B. Pfeil, D. Pierrot,
B. Poulter, G. Rehder, L. Resplandy, E. Robertson, M. Rocher, C.
Rödenbeck, U. Schuster, J. Schwinger, R. Séférian, I. Skjelvan, T.
Steinhoff, A. Sutton, P. P. Tans, H. Tian, B. Tilbrook, F. N. Tubi-
ello, I. T. van der Laan-Luijkx, G. R. van der Werf, N. Viovy, A. P.
Walker, A. J. Wiltshire, R. Wright, S. Zaehle, and B. Zheng. 2018.
Global carbon budget 2018. Earth Syst. Sci. Data 10:2141–2194.
https: / / doi .org/ 10 .5194/ essd -10 -2141 -2018.
Lynch, J., M. Cain, R. Pierrehumbert, and M. Allen. 2020. Demon-
strating GWP*: A means of reporting warming-equivalent emis-
sions that captures the contrasting impacts of short- and long-lived
climate pollutants. Environ. Res. Lett. 15:044023. https: / / doi .org/
10 .1088/ 1748 -9326/ ab6d7e.
Meale, S. J., M. Popova, C. Saro, C. Martin, A. Bernard, M. Lagree,
D. R. Yáñez-Ruiz, H. Boudra, S. Duval, and D. P. Morgavi. 2021.
Early life dietary intervention in dairy calves results in a long-
term reduction in methane emissions. Sci. Rep. 11:3003. https: / /
doi .org/ 10 .1038/ s41598 -021 -82084 -9.
Negussie, E., Y. de Haas, F. Dehareng, R. J. Dewhurst, J. Dijkstra, N.
Gengler, D. P. Morgavi, H. Soyeurt, S. van Gastelen, T. Yan, and
F. Biscarini. 2017. Invited review: Large-scale indirect measure-
ments for enteric methane emissions in dairy cattle: A review of
proxies and their potential for use in management and breeding
decisions. J. Dairy Sci. 100:2433–2453. https: / / doi .org/ 10 .3168/
jds .2016 -12030.
Owen, E., T. Smith, and H. Makkar. 2012. Successes and failures
with animal nutrition practices and technologies in developing
countries: A synthesis of an FAO e-conference. Anim. Feed Sci.
Technol. 174:211–226. https: / / doi .org/ 10 .1016/ j .anifeedsci .2012
.03 .010.
Patra, A. K. 2016. Recent advances in measurement and dietary miti-
gation of enteric methane emissions in ruminants. Front. Vet. Sci.
3:39. https: / / doi .org/ 10 .3389/ fvets .2016 .00039.
Pisano, G. P., and R. Verganti. 2008. Which kind of collaboration is
right for you? Harv. Bus. Rev. 86:78–86. https: / / hbr .org/ 2008/ 12/
which -kind -of -collaboration -is -right -for -you.
Pitta, D. W., A. Melgar, A. N. Hristov, N. Indugu, K. S. Narayan, C.
Pappalardo, M. L. Hennessy, B. Vecchiarelli, V. Kaplan-Shabtai,
M. Kindermann, and N. Walker. 2021. Temporal changes in total
and metabolically active ruminal methanogens in dairy cows sup-
plemented with 3-nitrooxypropanol. J. Dairy Sci. 104:8721–8735.
https: / / doi .org/ 10 .3168/ jds .2020 -19862.
US EPA (United States Environmental Protection Agency). 2021. In-
ventory of U.S. Greenhouse Gas Emissions and Sinks. Accessed
Apr. 16, 2021. https: / / www .epa .gov/ ghgemissions/ inventory -us
-greenhouse -gas -emissions -and -sinks.
United States Food and Drug Administration (FDA). 2022. New
Animal Drug Applications. Accessed Feb. 25, 2022. https: / / www
.fda .gov/ animal -veterinary/ development -approval -process/ new
-animal -drug -applications.
ORCIDS
J. M. Tricarico https: / / orcid .org/ 0000 -0002 -2101 -1564
Y. de Haas https: / / orcid .org/ 0000 -0002 -4331 -4101
A. N. Hristov https: / / orcid .org/ 0000 -0002 -0884 -4203
E. Kebreab https: / / orcid .org/ 0000 -0002 -0833 -1352
F. Mitloehner https: / / orcid .org/ 0000 -0002 -9267 -1180
D. Pitta https: / / orcid .org/ 0000 -0002 -3102 -9119
Tricarico et al.: PRODUCTION, MANAGEMENT AND THE ENVIRONMENT
... Because emitted methane is continuously removed from the atmosphere by hydroxyl oxidation, its atmospheric warming effects depend on the rate of emissions increase or decrease over the last 20 years rather than the total cumulative amount emitted over that period, (Allen et al., 2018). Tricarico et al., (2022), have the opinion that if mitigation of enteric methane production greater than 0.3% annually that is sustained over time (i.e., year-over-year) could be used to offset the atmospheric warming effects of carbon dioxide and nitrous oxide emissions from milk production systems. In this way, sustained mitigation of enteric methane production becomes a valuable tool for dairy value chains to meet their greenhouse gas reduction goals. ...
... Areas of focus and expected impacts for research of enteric methane mitigation options for beef and dairy cattle,Tricarico et al., 2022 ...
Conference Paper
Full-text available
The paper gives an overview of aspects of enteric methane emission, pointing out the importance of climate change mitigation practices. Enteric methane is formed as a by-product of the digestion of feed, primarily in ruminants by enteric fermentation. Ruminants emit methane created by enteric fermentation in the rumen, mostly by eructation. Nutritional interventions to mitigate enteric methane (ECH4) have been thoroughly investigated and many innovative solutions are being tested and considered. To meet the increasing demand for meat and milk, the livestock industry has to increase its production, which is followed by increasing ECH4 emissions. Continuous research and development are needed to develop ECH4 mitigation strategies that are locally applicable. Climate change mitigation and adaptation policies play a crucial role in the political agendas of local authorities who have to support the development and implementation of innovative products or methods for ECH4 mitigation. Addressing these challenges at local levels requires collaboration among many organizations and across different sectors, followed by cross-border and worldwide cooperation.
... Added to this is a focus on low cost, minimizing capital expenses and labor, and systems that fit in pasture-based farm systems. Sector-wide adoption of IPSF as an inhibitor delivery method will need the right socio-economic conditions, innovation at the regulatory level to avoid delays in approvals, and potential incentives to accelerate adoption [8,13,14]. Achieving a systems-level understanding of the adoption factors from an end-user perspective is vital to ensure effective design of the IPSF technology, as well as institutional and policy requirements for the wider agricultural innovation system [15,16]. ...
... Livestock production contributes 14.5 to 19 % of global GHG emissions (Gerber et al., 2013; Johnson & Johnson, 1995. Enteric methane is a major source of greenhouse gas emissions from milk and beef production systems that contributes to global warming (Tricarico et al., 2022). Cattle are estimated to produce between 250 to 500 L of CH 4 per day (Johnson & Johnson, 1995) with up to 90 % of the CH 4 from ruminants is produced in the process of rumen microbial methanogenesis (McAllister et al., 2015). ...
Article
Full-text available
Las pruebas de recuperación de gases son necesarias cuando se emplea la técnica de cámara de respiración para medir los gases de efecto invernadero exhalados por animales domésticos. Se obtuvo un conjunto de datos de 98 mediciones individuales de producción de metano y dióxidos de carbono de ganado alojado en dos cámaras de respiración para evaluar la recolección y repetibilidad de las mediciones realizadas. Se realizó un análisis de varianza para evaluar si existían diferencias estadísticamente significativas entre cámaras y entre animales. Los resultados mostraron las ocurrencias de variaciones en la produccion de metano entre las camaras.Estas variaciones pueden deberse muy probablemente a la fuga de aire de las cámaras oa las incertidumbres en los conductos de muestra de aire y las mediciones de flujo.
... The major source of GHG emissions from agricultural production is enteric fermentation of ruminant livestock, and the interest to reducing CH4 production in ruminants continues to grow globally [233]. According to the UNEP Emissions gap report 2022 [234], beyond the necessity to change diets, the reduction of CH4 emissions from ruminants can be achieved via changes in feed level and feed composition, which can also increase animal productivity. ...
Preprint
Full-text available
Agriculture (crop production, land use, and livestock) is the second most important greenhouse gas (GHG) emitting sector after the energy sector. Agriculture is also recognized as the source and sink of GHGs. Evidence demonstrates that the application of high amounts of nitrogen-rich fertilizers enhances methane (CH4) and nitrous oxide (N2O) emissions, which are potent GHGs with a high global warming potential (GWP). Considering its global contribution to the climate crisis, reducing GHG emissions in agriculture would considerably lower its share of the global GHG emission records, which may lead to enormous benefits for the environment and food production systems. Several diverging and controversial views questioning the actual role of plants in the current global GHG budget continue to nourish the debate globally. We must acknowledge that considering the beneficial roles of major GHGs to plants at a certain level of accumulation, implementing GHG mitigation measures from agriculture is indeed a complex task. This review seeks to provide key approaches for GHG mitigation in the literature (environmentally friendly crop cultivation and residue management practices, improvement of plants nutrients/fertilizer use efficiency, exploring the genetic diversity for low GHG emission, soil methane-producing bacteria, integrated soil fertility management, improved livestock feeding efficiency, and production, etc.). This work gathers key approaches from 275 peer-reviewed publications, including experimental research papers, review articles, and books, discussing greenhouse gas emissions mechanisms and mitigation to unravel effective strategies for GHG mitigation, proven to be effective or carry the potential to mitigate GHG generation from agriculture. This review also discusses in depth the significance and the dynamics of strategies regarded as game changers with a high potential to enhance, in a sustainable manner, the resilience of agricultural systems. Agricultural GHG mitigation approaches discussed in this work can serve as game changers in global efforts to reducing GHG emissions and alleviating the impact of climate change through sustainable agriculture and informed-decision making.
... While this number appears small, the ability to reduce methane, as opposed to other common GHG moieties, is of vital importance. Because methane is removed from the atmosphere at a relatively rapid rate, the reduction of this gas can act to reverse some of the overall warming effects of GHG [2]. Indeed, the ability to reduce enteric methane production in cattle can significantly contribute to atmospheric carbon reduction. ...
Article
Full-text available
Background Methane (CH4) emissions from rumen fermentation are a significant contributor to global warming. Cattle with high CH4 emissions tend to exhibit lower efficiency in milk and meat production, as CH4 production represents a loss of the gross energy ingested by the animal. The objective of this study was to investigate the taxonomic and functional composition of the rumen microbiome associated with methane yield phenotype in dairy cattle raised in tropical areas. Methods and results Twenty-two Girolando (F1 Holstein x Gyr) heifers were classified based on their methane yield (g CH4 / kg dry matter intake (DMI)) as High CH4 yield and Low CH4 yield. Rumen contents were collected and analyzed using amplicon sequencing targeting the 16 and 18S rRNA genes. The diversity indexes showed no differences for the rumen microbiota associated with the high and low methane yield groups. However, the sparse partial least squares discriminant analysis (sPLS-DA) revealed different taxonomic profiles of prokaryotes related to High and Low CH4, but no difference was found for protozoa. The predicted functional profile of both prokaryotes and protozoa differed between High- and Low CH4 groups. Conclusions Our results suggest differences in rumen microbial composition between CH4 yield groups, with specific microorganisms being strongly associated with the Low (e.g. Veillonellaceae_UCG − 001) and High (e.g., Entodinium) CH4 groups. Additionally, specific microbial functions were found to be differentially more abundant in the Low CH4 group, such as K19341, as opposed to the High CH4 group, where K05352 was more prevalent. This study reinforces that identifying the key functional niches within the rumen is vital to understanding the ecological interplay that drives methane production.
Article
Full-text available
Agriculture is the second most important greenhouse gas (GHG: methane (CH4) and nitrous oxide (N2O) emissions)-emitting sector after the energy sector. Agriculture is also recognized as the source and sink of GHGs. The share of agriculture to the global GHG emission records has been widely investigated, but the impact on our food production systems has been overlooked for decades until the recent climate crisis. Livestock production and feed, nitrogen-rich fertilizers and livestock manure application, crop residue burning, as well as water management in flood-prone cultivation areas are components of agriculture that produce and emit most GHGs. Although agriculture produces 72–89% less GHGs than other sectors, it is believed that reducing GHG emissions in agriculture would considerably lower its share of the global GHG emission records, which may lead to enormous benefits for the environment and food production systems. However, several diverging and controversial views questioning the actual role of plants in the current global GHG budget continue to nourish the debate globally. We must acknowledge that considering the beneficial roles of major GHGs to plants at a certain level of accumulation, implementing GHG mitigation measures from agriculture is indeed a complex task. This work provides a comprehensive review of agriculture-related GHG production and emission mechanisms, as well as GHG mitigation measures regarded as potential solutions available in the literature. This review also discusses in depth the significance and the dynamics of mitigation measures regarded as game changers with a high potential to enhance, in a sustainable manner, the resilience of agricultural systems. Some of the old but essential agricultural practices and livestock feed techniques are revived and discussed. Agricultural GHG mitigation approaches discussed in this work can serve as game changers in the attempt to reduce GHG emissions and alleviate the impact of climate change through sustainable agriculture and informed decision-making.
Article
Full-text available
Evaluating the effects of some or all academic research funding is difficult because of the many different and overlapping sources, types, and scopes. It is therefore important to identify the key aspects of research funding so that funders and others assessing its value do not overlook them. This article outlines 18 dimensions through which funding varies substantially, as well as three funding records facets. For each dimension, a list of common or possible variations is suggested. The main dimensions include the type of funder of time and equipment, any funding sharing, the proportion of costs funded, the nature of the funding, any collaborative contributions, and the amount and duration of the grant. In addition, funding can influence what is researched, how and by whom. The funding can also be recorded in different places and has different levels of connection to outputs. The many variations and the lack of a clear divide between “unfunded” and funded research, because internal funding can be implicit or unrecorded, greatly complicate assessing the value of funding quantitatively at scale. The dimensions listed here should nevertheless help funding evaluators to consider as many differences as possible and list the remainder as limitations. They also serve as suggested information to collect for those compiling funding datasets.
Article
Full-text available
Significance Agricultural methane emissions must be decreased by 11 to 30% of the 2010 level by 2030 and by 24 to 47% by 2050 to meet the 1.5 °C target. We identified three strategies to decrease product-based methane emissions while increasing animal productivity and five strategies to decrease absolute methane emissions without reducing animal productivity. Globally, 100% adoption of the most effective product-based and absolute methane emission mitigation strategy can meet the 1.5 °C target by 2030 but not 2050, because mitigation effects are offset by projected increases in methane. On a regional level, Europe but not Africa may be able to meet their contribution to the 1.5 °C target, highlighting the different challenges faced by high- and middle- and low-income countries.
Article
Full-text available
The global livestock sector, particularly ruminants, contributes substantially to the total anthropogenic greenhouse gases. Management and dietary solutions to reduce enteric methane (CH4) emissions are extensively researched. Animal breeding that exploits natural variation in CH4 emissions is an additional mitigation solution that is cost-effective, permanent, and cumulative. We quantified the effect of including CH4 production in the Dutch breeding goal using selection index theory. The current Dutch national index contains 15 traits, related to milk yield, longevity, health, fertility, conformation and feed efficiency. From the literature, we obtained a heritability of 0.21 for enteric CH4 production, and genetic correlations of 0.4 with milk lactose, protein, fat and DM intake. Correlations between enteric CH4 production and other traits in the breeding goal were set to zero. When including CH4 production in the current breeding goal with a zero economic value, CH4 production increases each year by 1.5 g/d as a correlated response. When extrapolating this, the average daily CH4 production of 392 g/d in 2018 will increase to 442 g/d in 2050 (+13%). However, expressing the CH4 production as CH4 intensity in the same period shows a reduction of 13%. By putting economic weight on CH4 production in the breeding goal, selective breeding can reduce the CH4 intensity even by 24% in 2050. This shows that breeding is a valuable contribution to the whole set of mitigation strategies that could be applied in order to achieve the goals for 2050 set by the EU. If the decision is made to implement animal breeding strategies to reduce enteric CH4 production, and to achieve the expected breeding impact, there needs to be a sufficient reliability of prediction. The only way to achieve that is to have enough animals phenotyped and genotyped. The power calculations offer insights into the difficulties that will be faced in trying to record enough data. Recording CH4 data on 100 farms (with on average 150 cows each) for at least 2 years is required to achieve the desired reliability of 0.40 for the genomic prediction.
Article
Full-text available
The purpose of this study was to investigate the effect of 3-nitrooxypropanol (3-NOP), a potent methane inhibitor, on total and metabolically active methanogens in the rumen of dairy cows over the course of the day and over a 12-wk period. Rumen contents of 8 ruminally cannulated early-lactation dairy cows were sampled at 2, 6, and 10 h after feeding during wk 4, 8, and 12 of a randomized complete block design experiment in which 3-NOP was fed at 60 mg/kg of feed dry matter. Cows (4 fed the control and 4 fed the 3-NOP diet) were blocked based on their previous lactation milk yield or predicted milk yield. Rumen samples were extracted for microbial DNA (total) and microbial RNA (metabolically active), PCR amplified for the 16S rRNA gene of archaea, sequenced on an Illumina platform, and analyzed for archaea diversity. In addition, the 16S copy number and 3 ruminal methanogenic species were quantified using the real-time quantitative PCR assay. We detected a difference between DNA and RNA (cDNA)-based archaea communities, revealing that ruminal methanogens differ in their metabolic activities. Within DNA and cDNA components, methanogenic communities differed by sampling hour, week, and treatment. Overall, Methanobrevibacter was the dominant genus (94.3%) followed by Methanosphaera, with the latter genus having greater abundance in the cDNA component (14.5%) compared with total populations (5.5%). Methanosphaera was higher at 2 h after feeding, whereas Methanobrevibacter increased at 6 and 10 h in both groups, showing diurnal patterns among individual methanogenic lineages. Methanobrevibacter was reduced at wk 4, whereas Methanosphaera was reduced at wk 8 and 12 in cows supplemented with 3-NOP compared with control cows, suggesting differential responses among methanogens to 3-NOP. A reduction in Methanobrevibacter ruminantium in all 3-NOP samples from wk 8 was confirmed using real-time quantitative PCR. The relative abundance of individual methanogens was driven by a combination of dietary composition, dry matter intake, and hydrogen concentrations in the rumen. This study provides novel information on the effects of 3-NOP on individual methanogenic lineages, but further studies are needed to understand temporal dynamics and to validate the effects of 3-NOP on individual lineages of ruminal methanogens.
Article
Full-text available
Ensuring the environmental integrity of internationally transferred mitigation outcomes, whether through offset arrangements, a market mechanism or non-market approaches, is a priority for the implementation of Article 6 of the Paris Agreement. Any conventional transferred mitigation outcome, such as an offset agreement, that involves exchanging greenhouse gases with different lifetimes can increase global warming on some timescales. We show that a simple 'do no harm' principle regarding the choice of metrics to use in such transactions can be used to guard against this, noting that it may also be applicable in other contexts such as voluntary and compliance carbon markets. We also show that both approximate and exact 'warming equivalent' exchanges are possible, but present challenges of implementation in any conventional market. Warming-equivalent emissions may, however, be useful in formulating warming budgets in a two-basket approach to mitigation and in reporting contributions to warming in the context of the global stocktake.
Article
Full-text available
Recent evidence suggests that changes in microbial colonization of the rumen prior to weaning may imprint the rumen microbiome and impact phenotypes later in life. We investigated how dietary manipulation from birth influences growth, methane production, and gastrointestinal microbial ecology. At birth, 18 female Holstein and Montbéliarde calves were randomly assigned to either treatment or control (CONT). Treatment was 3-nitrooxypropanol (3-NOP), an investigational anti-methanogenic compound that was administered daily from birth until three weeks post-weaning (week 14). Samples of rumen fluid and faecal content were collected at weeks 1, 4, 11, 14, 23, and 60 of life. Calves were tested for methane emissions using the GreenFeed system during the post-weaning period (week 11–23 and week 56–60 of life). Calf physiological parameters (BW, ADG and individual VFA) were similar across groups throughout the trial. Treated calves showed a persistent reduction in methane emissions (g CH 4 /d) throughout the post-weaning period up to at least 1 year of life, despite treatment ceasing three weeks post-weaning. Similarly, despite variability in the abundance of individual taxa across weeks, the rumen bacterial, archaeal and fungal structure differed between CONT and 3-NOP calves across all weeks, as visualised using sparse-PLS-DA. Similar separation was also observed in the faecal bacterial community. Interestingly, despite modest modifications to the abundance of rumen microbes, the reductive effect of 3-NOP on methane production persisted following cessation of the treatment period, perhaps indicating a differentiation of the ruminal microbial ecosystem or a host response triggered by the treatment in the early development phase.
Article
Full-text available
Over the last decade, extensive research effort has been placed on developing methane mitigation strategies in ruminants. Many disciplines on animal science disciplines have been involved, including nutrition and physiology, microbiology and genetic selection. To date, few of the suggested strategies have been implemented because: (1) methane emissions currently have no direct or indirect economic value for farmers, with no financial incentive to change practices and (2) most strategies have limited, or no, long-term effects. Consequently, there is a fundamental need for research on methane mitigation strategies across disciplines. Coordinated international initiatives similar to METHAGENE could represent highly relevant coordination tool of collaboration between countries, facilitating knowledge exchange, sharing concerns and building future collaborations.
Article
Full-text available
Meat and milk from ruminants provide an important source of protein and other nutrients for human consumption. Although ruminants have a unique advantage of being able to consume forages and graze lands not suitable for arable cropping, 2% to 12% of the gross energy consumed is converted to enteric CH4 during ruminal digestion, which contributes approximately 6% of global anthropogenic greenhouse gas emissions. Thus, ruminant producers need to find cost-effective ways to reduce emissions while meeting consumer demand for food. This paper provides a critical review of the substantial amount of ruminant CH4-related research published in past decades, highlighting hydrogen flow in the rumen, the microbiome associated with methanogenesis, current and future prospects for CH4 mitigation and insights into future challenges for science, governments, farmers and associated industries. Methane emission intensity, measured as emissions per unit of meat and milk, has continuously declined over the past decades due to improvements in production efficiency and animal performance, and this trend is expected to continue. However, continued decline in emission intensity will likely be insufficient to offset the rising emissions from increasing demand for animal protein. Thus, decreases in both emission intensity (g CH4/animal product) and absolute emissions (g CH4/day) are needed if the ruminant industries continue to grow. Providing producers with cost-effective options for decreasing CH4 emissions is therefore imperative, yet few cost-effective approaches are currently available. Future abatement may be achieved through animal genetics, vaccine development, early life programming, diet formulation, use of alternative hydrogen sinks, chemical inhibitors and fermentation modifiers. Individually, these strategies are expected to have moderate effects (
Article
Full-text available
The atmospheric lifetime and radiative impacts of different climate pollutants can both differ markedly, so metrics that equate emissions using a single scaling factor, such as the 100-year Global Warming Potential (GWP100), can be misleading. An alternative approach is to report emissions as 'warming-equivalents' that result in similar warming impacts without requiring a like-for-like weighting per emission. GWP*, an alternative application of GWPs where the CO2-equivalence of short-lived climate pollutant emissions is predominantly determined by changes in their emission rate, provides a straightforward means of generating warming-equivalent emissions. In this letter we illustrate the contrasting climate impacts resulting from emissions of methane, a short-lived greenhouse gas, and CO2, and compare GWP100 and GWP* CO2-equivalents for a number of simple emissions scenarios. We demonstrate that GWP* provides a useful indication of warming, while conventional application of GWP100 falls short in many scenarios and particularly when methane emissions are stable or declining, with important implications for how we consider 'zero emission' or 'climate neutral' targets for sectors emitting different compositions of gases. We then illustrate how GWP* can provide an improved means of assessing alternative mitigation strategies. GWP* allows warming-equivalent emissions to be calculated directly from CO2-equivalent emissions reported using GWP100, consistent with the Paris Rulebook agreed by the UNFCCC, on condition that short-lived and cumulative climate pollutants are aggregated separately, which is essential for transparency. It provides a direct link between emissions and anticipated warming impacts, supporting stocktakes of progress towards a long-term temperature goal and compatible with cumulative emissions budgets.
Article
We are developing a real-time, data-integrated, data-driven, continuous decision-making engine, The Dairy Brain, by applying precision farming, big data analytics, and the Internet of Things. This is a transdisciplinary research and extension project that engages multidisciplinary scientists, dairy farmers, and industry professionals. Dairy farms have embraced large and diverse technological innovations such as sensors and robotic systems, and procured vast amounts of constant data streams, but they have not been able to integrate all this information effectively to improve whole-farm decision making. Consequently, the effects of all this new smart dairy farming are not being fully realized. It is imperative to develop a system that can collect, integrate, manage, and analyze on- and off-farm data in real time for practical and relevant actions. We are using the state-of-the-art database management system from the University of Wisconsin-Madison Center for High Throughput Computing to develop our Agricultural Data Hub that connects and analyzes cow and herd data on a permanent basis. This involves cleaning and normalizing the data as well as allowing data retrieval on demand. We illustrate our Dairy Brain concept with 3 practical applications: (1) nutritional grouping that provides a more accurate diet to lactating cows by automatically allocating cows to pens according to their nutritional requirements aggregating and analyzing data streams from management, feed, Dairy Herd Improvement (DHI), and milking parlor records; (2) early risk detection of clinical mastitis (CM) that identifies first-lactation cows under risk of developing CM by analyzing integrated data from genetic, management, and DHI records; and (3) predicting CM onset that recognizes cows at higher risk of contracting CM, by continuously integrating and analyzing data from management and the milking parlor. We demonstrate with these applications that it is possible to develop integrated continuous decision-support tools that could potentially reduce diet costs by $99/cow per yr and that it is possible to provide a new dimension for monitoring health events by identifying cows at higher risk of CM and by detecting 90% of CM cases a few milkings before disease onset. We are securely advancing toward our overarching goal of developing our Dairy Brain. This is an ongoing innovative project that is anticipated to transform how dairy farms operate.