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SPECIALTY GRAND CHALLENGE
published: 22 January 2020
doi: 10.3389/fagro.2019.00003
Frontiers in Agronomy | www.frontiersin.org 1January 2020 | Volume 1 | Article 3
Edited and reviewed by:
Singarayer Kumardas Florentine,
Federation University, Australia
*Correspondence:
Bhagirath Singh Chauhan
b.chauhan@uq.edu.au
Specialty section:
This article was submitted to
Weed Management,
a section of the journal
Frontiers in Agronomy
Received: 12 November 2019
Accepted: 18 December 2019
Published: 22 January 2020
Citation:
Chauhan BS (2020) Grand Challenges
in Weed Management.
Front. Agron. 1:3.
doi: 10.3389/fagro.2019.00003
Grand Challenges in Weed
Management
Bhagirath Singh Chauhan*
The Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland,
Gatton, QLD, Australia
Keywords: weed management, weed science, crop competition, herbicide, integrated weed management (IWM)
The current global population of 7.7 billion is expected to reach over 9 billion by 2050. To feed this
population, world food production will need to be increased by 70 to 100% (www.fao.org). There
are several biotic and abiotic constraints to crop production, in addition to socioeconomic and
crop management related issues (Ghersa, 2013). Weeds are the most important biotic constraints
to agricultural production in both developing and developed countries. In general, weeds present
the highest potential yield loss to crops along with pathogens (fungi, bacteria, etc.) and animal pests
(insects, rodents, nematodes, mites, birds, etc.) which are of less concern (Oerke, 2006). Weeds
compete with crops for sunlight, water, nutrients, and space. In addition, they harbor insects and
pathogens, which attack crop plants. Furthermore, they destroy native habitats, threatening native
plants and animals.
Yield losses in crops due to weeds depend on several factors such as weed emergence time, weed
density, type of weeds, and crops, etc. Left uncontrolled, weeds can result in 100% yield loss. In
Australia, the overall cost of weeds to Australian grain growers has been estimated at AUD 3.3
billion annually (Llewellyn et al., 2016). In terms of yield losses, weeds amounted to 2.7 million tons
of grain at a national level. In India, these costs were much higher. Weeds cost Indian agricultural
production over USD 11 billion each year (Gharde et al., 2018). In the same study, yield losses due
to weeds were estimated at 36% in peanut (Arachis hypogaea L.), 31% in soybean (Glycine max (L.)
Merr.), 25% in maize (Zea mays L.), and 19% in wheat (Triticum aestivum L.). In the USA, weeds
cost USD 33 billion in lost crop production annually (Pimentel et al., 2005). These studies from
different economies indicate the substantial yield and economic loss caused by weeds.
The current total global grain production is ∼2.1 billion metric tons. Assuming an overall yield
loss of 10% due to weeds (www.fao.org/3/a0884e/a0884e.pdf), the total loss in grain production is
∼200 million metric tons. If this loss can be reduced by half, grain production would increase by
100 million metric tons, which could serve in reducing hunger worldwide.
In developing countries, where farm size is small, weeds are removed manually. This practice
is becoming less common as a result of the urbanization of labor migrating to cities and rising
wage costs in agriculture. Hand weeding is being replaced by herbicide use. In developed countries,
such as Australia and the USA, herbicides are already widely used to control weeds. However,
over-reliance on herbicides with similar modes of action has resulted in the evolution of herbicide-
resistant weeds. At present, more than 500 unique cases of herbicide-resistant weeds have been
reported globally (Heap, 2019). Out of these total cases, more than 160 are from the USA and
over 90 cases are from Australia, making them the two countries with the highest number of cases
of herbicide resistance. These nations are followed by Canada, China, and Brazil. The maximum
number of herbicide-resistant weed species reported in different crops are in the order of: wheat >
maize >rice (Oryza sativa L.) >soybean >spring barley (Hordeum vulgare L.) >canola (Brassica
napus L.) >cotton (Gossypium hirsutum L.) (Heap, 2019). New herbicides with different modes
of action are needed to manage herbicide-resistant weeds; however, no major mode of action
has been introduced in the past three decades (Duke, 2012). These issues suggest the need to
develop different weed management options, and to consider the potential for integrating them
Chauhan Grand Challenges in Weed Management
with herbicide use. These concerns have also encouraged weed
scientists around the world to develop ecologically-based weed
management tools (Chauhan and Gill, 2014).
To develop effective and sustainable weed management
tactics, knowledge of weed biology and ecology is very important
(Chauhan and Johnson, 2010). A recent review highlighted and
prioritized current issues for weed science research (Chauhan
et al., 2017). Therefore, this article discusses only selected issues
and methods.
WEED BIOLOGY AND ECOLOGY
To develop any weed management program, it is essential to
understand the biology and ecology of weeds. The number
of studies into weed biology has increased more recently, as
we still lack a basic information on a number of important
species. A better understanding of the environmental factors
affecting weed seed germination would help to develop
effective management practices through strategies of increasing
germination so that seedlings can be killed or for the purpose of
suppressing germination (Chauhan and Johnson, 2010). Based
on such understanding, strategies to deplete weed seed banks
by influencing weed seed germination could be included in
management programs (Gallandt, 2006). Similarly, information
on weed phenology would allow more specific control methods
to be developed by accurately estimating the timing and effects
of weed competition on crop yield (Ghersa and Holt, 1995).
A recent study on Amaranthus palmeri S. Watson phenology
concluded that while species originating from different regions
of the USA can vary biologically, it was the plant’s environmental
plasticity which contributed to population spread (Spaunhorst
et al., 2018).
Most of the studies on weed biology and ecology have used
a small number of populations; however, populations from
one area may differ from those from other areas because of
differential management practices, rainfall, temperature, soil
type, etc. Therefore, in future studies, there is a need to include
several populations in order to draw conclusions from the
available data.
CROP COMPETITION
Any strategy in which a crop is used to manage weeds is
considered a sustainable weed control practice. Such strategies
need to be integrated with other tools to achieve effective
weed management. In this technique, the effect of weeds on
the crop is reduced through increasing crop competitiveness
or by reducing the competitiveness of weeds (Mortensen
et al., 1998; Gibson et al., 2002). Crop competitiveness can
be increased by narrowing crop row spacing, increasing crop
seeding rate, adjusting crop planting direction, using a weed-
competitive crop cultivar, and increasing precise application
of nutrients so that they are available to crops rather than
weeds. Growing a weed-competitive crop can significantly reduce
weed biomass and weed seed production in-crop. Reduced seed
numbers are always preferred by growers as such strategies
progressively deplete weed seeds in the long run if integrated
with other weed management tools (Mashingaidze et al.,
2009).
Although crop competition is not a new technique, the
potential for more effective use exists, particularly for herbicide-
resistant weeds. A single or double herbicide application would
control weeds at the early stage of the crop before the traits
of a competitive crop would reduce the need for future weed
management 3 to 4 weeks after planting (Chauhan, 2012). The
aim is to close crop canopy as soon as possible. Weeds emerging
after canopy closure are less able to grow and produce biomass
and seeds. Further research is needed where crop competition
components are integrated with herbicide use and other weed
management tools.
THERMAL WEED MANAGEMENT
Plant tissues are susceptible to high temperatures, which
can disrupt physiological functions. Heat can be applied in
different ways to control weeds: direct flaming (Knezevic
et al., 2011), solarization (Horowitz et al., 2017), microwaves
(Brodie et al., 2007), laser radiations (Mathiassen et al., 2006),
steam (Rask and Kristoffersen, 2007), and electrocution
(Parish, 1990). These methods of weed control can be
used in fallows to kill herbicide-resistant weeds. More
research is needed if these techniques are to be used in
field crops.
CLIMATE CHANGE
The main outcomes associated with climate change are an
increase in carbon dioxide (CO2) concentration, temperature,
and the severity and frequency of drought and flooding. Much
of the research on the impact of climate change in weeds has
focused on CO2, mostly conducted in the USA (Chauhan et al.,
2017). There is a need to include other factors (e.g., temperature
and water availability) and global regions in this research
with emphasis on the mechanisms responsible for differential
response to varying climatic conditions. Herbicide efficacy
also stands to be affected by projected climatic conditions.
For example, rising CO2was found to increase glyphosate
tolerance in a C3weedy species, Chenopodium album L. (Ziska
et al., 1999). Such changes in herbicide tolerance suggest that
the efficacy of chemical weed control may be reduced in
the future.
MODELING AND ROBOTICS
The application of modeling and robotics in a highly scientific
and practical manner will help to achieve site-specific and
economical weed management in the future (Bajwa et al., 2015;
Singh et al., 2019). The development of efficient guidance
systems, therefore, is a critical area of research for decision-
support systems and site-specific weed management which may
take some time, particularly in developing countries.
Frontiers in Agronomy | www.frontiersin.org 2January 2020 | Volume 1 | Article 3
Chauhan Grand Challenges in Weed Management
HERBICIDE USE
Herbicides are an integral part of any weed control system.
Current dependence on herbicides requires a more refined
approach, particularly through correct application techniques,
in order to extend the life of many modes of action. Use of
full herbicide rates, herbicide mixtures and herbicide rotations
may reduce the risk of evolution of resistance in weeds. These
strategies need particular attention in developing countries.
Research also needs to be conducted on the development and
application of nanoherbicides in different cropping systems.
INTEGRATED WEED MANAGEMENT (IWM)
IWM is the control of weeds using different, complimentary
methods within a system rather than relying on a single method.
The main aim of IWM is to reduce the selection pressure for the
development of resistance to any single method of weed control
(Chauhan et al., 2017). Unfortunately, weed research in most
countries is oriented toward herbicide research. Effective weed
management and a reduced risk of the evolution of herbicide-
resistant weeds depends on further research into IWM across
global settings.
CONCLUSIONS
Weeds are a major biotic constraint to production in different
cropping systems. A single method of control will not provide
adequate long-term weed management, instead often resulting
in the development of resistance. Weeds are the cause of
significant yield loss, even after the application of a particular
control method. There is a growing necessity to reduce this
yield loss in order to feed an ever-increasing human population.
Therefore, there is a need to develop effective and sustainable
IWM programs.
AUTHOR CONTRIBUTIONS
The author confirms being the sole contributor of this work and
has approved it for publication.
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Conflict of Interest: The author declares that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest.
Copyright © 2020 Chauhan. This is an open-access article distributed under the
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