Orienter la génétique aujourd'hui pour préparer les prairies de demain

FARMATCH

Using virtual experimentation to prepare livestock farmers for climate change adaptation

With climate change, there will be significant changes to the forage production used to provide daily feed for cattle and sheep. What changes will farmers have to make on their farms to maintain an economically, environmentally and socially consistent and efficient system? The FARMATCH project has focused on preparing farmers by confronting them with virtual scenarios using computer simulations.

GOALS

Orienter la génétique aujourd'hui pour préparer les prairies de demain
© © Inra

Farmers of cattle, sheep and other ruminants must feed their animals every day. To do so, they use forage crops - grass that is grazed or in silage, maize silage - produced largely on the farm. But what if climate change meant this production could no longer be guaranteed to be as regular in terms of quantity and quality as it was in the past? Farmers will then have to make changes to their systems, so how can we prepare them? There were many questions to which the FARMATCH project - Farming systems adaptation to climate change - wanted to provide answers.

A future with more irregular forage production

“Our first job was to characterise the vulnerability of farms to climate change,” explains agronomist Michel Duru, co-leader of the project. Researchers have simulated the production of forage for animal feed over the next 30 to 50 years using weather predictions from Météo France.

“For grasslands, we showed that while, on average, the quantity of annual grass production would not change, there would be important variations not only within the year but also between years,” adds Michel. “Production in the summer and autumn will decrease while production in the spring will increase. Meanwhile, maize yields will also experience greater year-to-year variability and harvests will be reduced if irrigation is not available.”

Using virtual scenarios

In order to overcome this intra- and inter-annual variability, farmers will have to develop adaptation strategies and introduce short-term or structural changes depending on the current configuration of their system. Numerous options are available. For example, a farmer could change the calving period, shifting it to a period when there is less variability in feed resources, decide to cap milk production below its production potential, sow annual forage crops such as sorghum between two cash crops to cope with an insufficient grass harvest in the spring or change the date the herd is put out to grass etc.  

“Based on the principle that to learn, we must experiment, we decided to put livestock farmers into virtual scenarios,” says Roger Martin-Clouaire, a researcher in artificial intelligence and co-leader of the project. Scientists had developed a game as a learning tool in the form of Forage Rummy (1), where livestock farmers are put into a situation where they design their livestock system. In FARMATCH, the climatic context to which they must adapt their system is presented in three sequences so as to progressively approach the conditions in which they operate.

“Over the course of the first two two-hour sequences, farmers are encouraged to appropriate the game and then to design a livestock system adapted to a variety of future climatic years; the consistency being validated by a computer model,” explains the researcher. The first two sessions are conducted with a climate which is presumed to be known in advance. In the third session, the climate is unveiled only month by month. “So, projected virtually into various climate scenarios, livestock farmers test, without consequences, different adaptation options,” concludes Roger.

(1) Martin, G., Felten, B., Duru, M., 2011a. Forage rummy: A game to support the participatory design of adapted livestock systems. Environ. Model. Softw. 26, 1442–1453.

Contacts

Micheloriginal

Michel Duru

Department of Environment and Agronomy

Rogerweb

Roger Martin-Clouaire

Toulouse Unit of Applied Mathematics and Informatics (MIAT)

See also

  • M. Sautier, M. Piquet, M. Duru, R. Martin-Clouaire (2017) Exploring adaptations to climate change with stakeholders: A participatory method to design grassland-based farming systems. Journal of Environmental Management, 193, 541-550.
  • M. Sautier, R. Martin-Clouaire, R. Faivre, M. Duru (2013) Assessing climatic exposure of grassland-based livestock systems with seasonal-scale indicators. Climatic Change, 120(1-2), 341–355.
  • (1) Martin, G., Felten, B., Duru, M., 2011a. Forage rummy: A game to support the participatory design of adapted livestock systems. Environ. Model. Softw. 26, 1442–1453.

Modification date : 04 July 2023 | Publication date : 28 October 2021 | Redactor : Com