How data can be used to highlight the environmental benefits of reducing methane emissions from cattle
However, with estimates that methane from livestock amounts to 14.5 per cent of all global emissions, the issue is moving rapidly up the agenda – especially after the UN Intergovernmental Panel on Climate Change report was published earlier this month.
It stated that methane accounted for about 30 per cent of global warming since the pre-industrial era and that there has been “faster growth” in atmospheric concentration of methane in recent years, “largely driven by emissions from the fossil fuels and agriculture [dominated by livestock] sectors”.
Methane emissions have increased gradually since 1990 due to an rise in global livestock numbers. So what can be done?
The holy grail of research in this area is to marry environmental and economic benefits – simultaneously reducing methane emissions and improving cattle feed efficiency.
This is the goal of Alireza Ehsani, a Marie Curie Fellow whose research work is supported by the European Union Horizon 2020 fund, the Data-Driven Innovation initiative in Edinburgh, and Norway-based global cattle breeding association Geno.
Ehsani believes it will be possible to use data and genetics to breed cattle that produce less methane and utilize feed more efficiently – eating less, emitting less and producing more milk.
His partnership with Geno, which specialises in breeding Norwegian Red cattle, means the research will cover half a million animals, giving it both scale and industry credibility.
Covid-19 restrictions have meant that Ehsani has been unable to go to Norway yet, but he has weekly virtual meetings with Geno to share ideas and findings, challenges, and new information.
One challenge is that methane is a relatively new focus for cattle breeders’ research.
“Methane emissions were not high up in the breeding goals, but when research says 14 per cent of the global warming and greenhouse gas production is coming from livestock, it is becoming more important,” Ehsani explains.
“If the animals eat less and produce more, that is feed efficiency. This aspect is very important because feeding cattle is about 50 per cent of the entire cost of keeping a herd. And we are seeing a link between feed efficiency and producing less methane. Because the cattle are consuming less food, they are ruminating less – which means less methane emissions.”
More than 90 per cent of the methane from cows is produced by microbes in the rumen, or first stomach, which comes out mainly from the mouth. Some microbes produce less methane than others and there is also variation in the animals themselves, which makes this area very interesting to study.
Ehsani’s three-year research project, which began in April 2020, is split into three broad areas –the collection and assessment of data from Geno; modelling and simulation using a wide range of variables, to find out what combination produces the most efficient cattle, in terms of reduced methane emissions and greater feed efficiency; and to deploy the proposed data system in the breeding programme to breed future generations of more resource-efficient cattle.
This area of study is growing, but Ehsani says his collaboration with Geno stands out because of its scale. “There are lots of studies looking at information from 500 or 1,000 cattle, but that’s not large enough to make a significant difference in the real world of dairy cattle breeding. Having a partner like Geno allows me to simulate very large numbers of a real population of Norwegian Reds, using the age of the cows, number in each herd, and their performance across the whole breeding cycle. In my simulation, there will be about 500,000 animals every year, and I am running simulations for multiple years.”
Data plays a key role in the project, especially in getting detailed and accurate measurements of feed intake. “Feed represents more than 50 per cent of the whole cost in dairy farming, but feed intake is very difficult and costly to measure in cattle,” says Ehsani. “If we want to select the best animals, we must measure one by one – how much feed is consumed and how much milk is produced from this feed.
Ehsani says technology helps, by supporting the collection of more accurate and relevant data.
“Automatic feeders can measure the feed intake of an animal, so technology helps us and reduces the cost of measurements. And now we have access to the genomes of those animals, we can combine that with the feed intake and the selection of the best animals is more accurate.”
Ehsani stresses the vital importance of applying different scenarios to the data to see what will work best. “What will happen in five or ten years if I spend this amount of money on phenotyping or genotyping the animals? What if I phenotype just part of the herd, or the whole herd? What if I look at every animal just once, or several times? All these scenarios help us to update our simulations, then take the very best one in terms of outcome, and apply it in the Geno breeding programme in the third year of the study.”
Ehsani says there has been scepticism that such research can deliver both reduced methane emissions and improved feed efficiency, but believes the scale of the trial in Geno’s real-world population can win over the doubters.
“The very important thing to win trust in both the statistical modelling and animal breeding is the number of observations you have. If you collect a huge number of observations, the results will be useful.”
Ehsani believes this kind of research has been helped massively by the advances in genetics:
“We can now genotype animals, so based on the genome, we can select the very best individual – for feed efficiency and methane reduction – and then mate them together to produce good offspring,” he says.
“The important thing about genetics is that it is permanent and cumulative. If you do something with genetics, you do it forever. If you do something with the feed, you must do it every day.”
Ehsani explains that the research can also help show policy-makers the value ofworking on animal genetics to help with global warming, and that as well as benefiting cattle breeding, the research could be used in other animals.
He says “It can easily be applied in any kind of animal because we are simulating a real-world population and applying a huge number of different scenarios. So, you can make small changes and apply it to other species.”
Håvard Melbo Tajet, chief technology and innovation officer for Geno, says: “Geno already records methane in Norwegian Red dairy cattle, and is in the process of establishing recordings of accurate feed intake. We are very interested to see the relationship between feed efficiency and climate footprint and hope to develop the Norwegian Red population further for improved sustainability, combining reduced feed cost with lower methane emissions.
“Feed recording equipment is expensive and the collaboration with the University of Edinburgh allows us to optimise the return on investment, using advanced simulation techniques. These techniques offer the opportunity to optimise all types of breeding activities to achieve the highest possible genetic gain.”
This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 801215.