In a recent study published in Nature Sustainability, scientists from the Zoological Society of London (ZSL) estimate that herbicide resistance of a major agricultural weed is costing the UK economy £400 million each year. The research team’s new model is the first to be able to accurately quantify the economic costs of herbicide-resistant black-grass and its impact on wheat yield under various farming scenarios, with significant implications for national food security. In this exclusive interview, we speak with Dr Alexa Varah, lead author of the research, who describes the growing problem of herbicide resistance and the capabilities of her team’s model.

To start, please give us a brief introduction to the problems associated with herbicide use, the growing threat of herbicide resistance worldwide, and the implications for global food security and the environment.

Herbicides, and farm management practices based on herbicide use, can harm water quality, soil quality and biodiversity. For example, herbicides can kill plants other than the target weed, which leads to a loss of plant diversity in farmland, and this in turn affects animals such as insects and birds that use those plants.

As herbicide use has increased, this has put pressure on weeds to evolve resistance. From almost no cases of herbicide resistance in the 1960s, there are now 262 species of herbicide-resistant weed worldwide. Unless farmers reduce their reliance on herbicides, resistance will continue to grow. This loss of herbicide efficacy due to resistance is now reducing yields, which is a threat to global food security.

Things could go one of two ways. As herbicides become ineffective, farmers could reduce herbicide (and other pesticide) use and start to do properly integrated pest management. In other words, stop relying so heavily on herbicides and control weed populations using a range of non-chemical methods as well. This would be better for the environment as well as for crop yields.

The other way that things could go is that farmers could apply more and more herbicide as these chemicals continue to become less and less effective, in the hope that larger volumes, more frequent applications or novel mixtures will kill the weeds. This will drive even greater resistance, and crop yield and the environment will suffer.

There is evidence for both types of behaviour. We suggest that government policy will be necessary to ensure that the former course of action becomes the norm.

Please tell us about the scale of the black-grass problem in the UK. How prevalent is herbicide resistance in this particular weed in Britain and further afield?

Herbicide-resistant populations of black-grass appeared in the early 1990s in winter cereal rotations in Europe. It is now found all over the main cereal growing regions of the UK. The problem is worst in a central belt running from The Wash in a south-westerly direction across central England. Of the 138 fields we surveyed across the main cereal regions of England (from the South East up to Yorkshire, and from the West Midlands to East Anglia), only 1% of fields had no resistance to any of the three herbicides we tested – Fenoxaprop, Cycloxydim, Atlantis.

There have been no national-scale surveys in other European countries so, although we know there is herbicide-resistant black-grass in mainland Europe, we don’t have data on the extent of the problem there.

The new model your team has developed estimates that herbicide-resistant black-grass currently costs the UK economy £400 million and results in 800,000 tonnes of lost wheat. What are the factors that the model takes into account to arrive at these figures?

The economic model we built incorporates all the standard variables one would expect, such as yield penalties due to sub-optimal planting dates and rotations, the effect on yield of variables such as soil type, plus all the input prices for seed, fertiliser, pesticides, fuel, labour and so on. Of course, these prices change from year to year, so we kept the model flexible by allowing the user to easily change the input variables. Once we’d built the basic model, I needed three more very specific things in order to estimate costs and yield losses due to resistant black-grass.

First, we needed to know the wheat yield loss due to black-grass infestation. For this we obtained very detailed field data on winter wheat yield and black-grass densities from 17 fields, and used them to estimate the yield loss at different black-grass density states.

Second, we needed to know the densities of black-grass in fields across the UK, and how farmers were dealing with it: what herbicide regimes they were using, and what other management techniques they were doing (for example a deep plough to bury resistant weed seeds).

My colleagues at Sheffield University had surveyed black-grass in 138 fields in 2014, and obtained up to 10 years of management history for these fields. I used 66 of these fields – the ones with the best quality data – in my economic model to estimate the costs and yield losses due to black-grass infestations.

Lastly, I needed to know the resistance frequency – that is, how much of the black-grass in our fields was the resistant type. My colleagues at Rothamsted had worked out the frequency of resistance to Fenoxaprop for all 138 fields surveyed, and I used these data to estimate what proportion of the estimated costs and yield losses were due to resistant plants.

Finally, once I had estimated the field-scale costs, I used DEFRA data on regional and national crop areas to scale up the costs and yield losses to give the national figures.

‘From almost no cases of herbicide resistance in the 1960s, there are now 262 species of herbicide-resistant weed worldwide.’


Has the model been applied to future scenarios, in which the problem of resistant black-grass has continued to worsen? What did you find?

Yes, we estimated what would happen if all fields had very high densities of resistant black-grass. We found that the annual cost to the UK would be £1 billion and the annual yield loss would be 3.4 million tonnes. We don’t actually expect this scenario to occur because farmers have recently been changing their practices and are bringing in non-chemical techniques to supplement their chemical treatment of black-grass; however, we wanted to estimate the worst-case scenario to help give context to the current situation.

Can the model be applied or adapted to make similar estimates for other weed species in which herbicide resistance is a growing problem?

Yes, we allow the user to specify the yield penalty, thereby allowing other weeds to be investigated. We also allowed all other input variables such as costs of inputs and labour, crop prices, etcetera, to be user-specified so that the model can be used for any year or country.

We suggest that other countries use our model to estimate the costs and yield losses due to their own ‘superweeds’. For example, glyphosate-resistant weeds are an enormous problem in the United States but no-one’s done a national-scale assessment of the full impact on economics and yield losses.

Based on the study’s findings, what changes need to be made in the ways that we grow crops to ensure future food security and environmental sustainability?

We need to reduce herbicide use wherever possible in order to avoid further evolution of resistance and maintain herbicide efficacy. In regions where resistance is already present, there is equally a need to reduce herbicide use (as it’s ineffective) and to control resistant weed populations through more sustainable farming practices such as greatly improved crop rotation and other truly integrated pest management practices.

Using more sustainable farming practices – including integrated pest management – will also benefit the environment as it will provide a greater diversity of habitats and reduced chemical use. We suggest, as mentioned above, that these changes are driven by policy and that farmers are supported to make the transition to sustainability.

The NFU now recommends a ‘5for5’ resistance management strategy, but this is entirely voluntary and, in practice, farmers continue to use a lot of herbicide, often as an ‘insurance’ alongside non-chemical control because they can’t countenance not using herbicide, and many agronomists feel they can’t risk advising a reduction of chemical usage.

To truly reduce chemical use, we’re going to need government policy. We suggest that this policy will be most effective if it incorporates agricultural, environmental and health aspects of herbicide use, tackling them all together in a national action plan.

Reference
https://doi.org/10.33548/SCIENTIA466

Meet the researcher


Dr Varah is an Ecologist at ZSL’s Institute of Zoology whose research centres around the relationship between land use, biodiversity and ecosystem services. She is especially interested in the interface between food production and the environment. Her current work focuses on significant risks to intensive food production systems and what we might do to address these, whilst also considering how any decisions we make might affect farm profitability, water quality, greenhouse gas emissions and biodiversity.

   

Creative Commons Licence
(CC BY 4.0)

This work is licensed under a Creative Commons Attribution 4.0 International License. Creative Commons License

What does this mean?

Share: You can copy and redistribute the material in any medium or format

Adapt: You can change, and build upon the material for any purpose, even commercially.

Credit: You must give appropriate credit, provide a link to the license, and indicate if changes were made.


More articles you may like

Dr Tsun-Kong Sham – Dr Jiatang Chen – Dr Zou Finfrock – Dr Zhiqiang Wang | X-Rays Shine Light on Fuel Cell Catalysts

Dr Tsun-Kong Sham – Dr Jiatang Chen – Dr Zou Finfrock – Dr Zhiqiang Wang | X-Rays Shine Light on Fuel Cell Catalysts

Understanding the electronic behaviour of fuel cell catalysts can be difficult using standard experimental techniques, although this knowledge is critical to their fine-tuning and optimisation. Dr Jiatang Chen at the University of Western Ontario works with colleagues to use the cutting-edge valence-to-core X-ray emission spectroscopy method to determine the precise electronic effects of altering the amounts of platinum and nickel in platinum-nickel catalysts used in fuel cells. Their research demonstrates the potential application of this technique to analysing battery materials, catalysts, and even cancer drug molecules.

Dr Michael Cherney – Professor Daniel Fisher | Unlocking Woolly Mammoth Mysteries: Tusks as Hormone Time Capsules

Dr Michael Cherney – Professor Daniel Fisher | Unlocking Woolly Mammoth Mysteries: Tusks as Hormone Time Capsules

The impressive tusks found on proboscideans (the order of mammals that includes elephants, woolly mammoths, and mastodons) are like time capsules, preserving detailed records of their bearers’ lives in the form of growth layers and chemical traces. Frozen in time for thousands of years, these layers can unlock secrets about the lives of long-extinct relatives of modern elephants. Dr Michael Cherney and Professor Daniel Fisher from the University of Michigan used innovative techniques to extract and analyse steroid hormones preserved in woolly mammoth tusks. This ground-breaking work opens new avenues for exploring the biology and behaviour of extinct species.

Professor Ken M Levy | The Boundaries of Free Will and Responsibility: From Academic Debate to the Real World

For almost thirty years, Professor Ken M Levy of Louisiana State University Law School has been thinking and writing about free will and responsibility. In several articles and his recent book, Free Will, Responsibility, and Crime: An Introduction (Routledge 2020), Professor Levy discusses a wide range of subjects, including the myth of the ‘self-made man’, whether psychopaths are culpable for their crimes, and the increasingly popular but highly controversial theory of responsibility scepticism. Professor Levy’s research has profound implications for law, ethics, and society.

Abordando el Aislamiento Social y la Depresión entre Mujeres Inmigrantes Mexicanas

Abordando el Aislamiento Social y la Depresión entre Mujeres Inmigrantes Mexicanas

Una gran cantidad de mujeres mexicanas sufren aislamiento y depresión después de llegar como inmigrantes a los Estados Unidos. Son particularmente vulnerables en el caso de carecer de conexiones sociales o una red de apoyo en su nuevo entorno. Un grupo inovador de investigación de la Universidad de Nuevo Mexico ha desarrollado una prometedora iniciativa llamada “Tertulias”,que ayuda a mejorar la salud mental y el bienestar de las mujeres inmigrantes.