Citizen science helps farmers adapt to climate change

Using their small plots as laboratories, some 12,000 farmers in Nicaragua, Ethiopia and India are determining which seeds best adapt to climate change.

bean seeds
Common bean seeds were used in the experiment in Nicaragua. Image: Bioversity International via SciDev.net

The selection of seed varieties adapted to a particular climate could be refined if farmers themselves assess their performance, using their plots as small, experimental laboratories.

This was the finding of a study on citizen science in agriculture using the new ‘tricot’ method—triadic comparisons of technologies—devised by global research organisation Biodiversity International.

The approach aims to test crop varieties and other technologies on the farm, under realistic conditions, using simple, hands-on experiments.

It was tested in different climates with common bean crops in Nicaragua, durum wheat crops in Ethiopia and wheat crops used for bread-making in India.

According to the paper, published in Proceedings of the National Academy of Sciences, farmers’ participation improves the selection of seeds suited to a particular climate, reducing the risk of crop failure.

Climate change is expected to reduce agricultural production by 2 per cent every decade until 2050, according to the Intergovernmental Panel on Climate Change, and its effects on the timings of seasons and rainfall is a growing concern for farmers.

To assess the performance of each variety, all of the almost 12,000 participants received a package containing three random varieties of a broader sample of seeds.

“Each farmer compares only three things, to keep things simple. But each farmer compares a different combination, so that you can get results about a whole set of crops,” explains Jacob van Etten, leading author of the study.

The research performed tests through different planting seasons, collecting data from 842 growers in Nicaragua, more than 1,000 in Ethiopia and another 10,000 in India.

Scientists linked this information with weather and soil data from each region, and were able to obtain recommendations on the use of each variety, according to different agroclimatic zones.

According to Alma Piñeyro, who works for the department of agricultural and animal production at the Metropolitan Autonomous University, in Mexico, the method allows scientists to identify which seed varieties work in certain places and which could be useful in the future, during multiple planting cycles.

It could be useful for planting schemes where new seeds are acquired in each cycle, such as for some types of beans, peppers, and green and red tomatoes, says Piñeyro.

“But it wouldn’t work in the case of farmers who have their own native varieties, that they sow year after year, who select them to improve adaptation,” she warns. This is the case in the farming of many corn crops in countries such as Mexico, Ecuador and Peru.

Piñeyro says the tricot method should be evaluated to see if it could be used not only for increasing crop production, but to maintain and diversify local seed varieties, while scaling data geographically to make it generalisable.

Farmers should not only be data collectors and observers, but “part of the decision-making process”, with their needs accounted for, she adds.

According to van Etten, the approach, which he says could benefit at least 100,000 farmers from different countries in the near future, could partially replace or complement existing methods, such as improving seeds in the laboratory.

Although van Etten and his colleagues have not yet been able to calculate the total cost of a study like this, he says that using the tricot approach is cheaper for farmers than traditional methods.

This piece was produced by SciDev.Net’s Latin America and Caribbean edition

This article was originally published on SciDev.Net. Read the original article.

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