Viability algorithm to assess the robustness and adaptability of mixed herds - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Logiciel Année : 2024

Viability algorithm to assess the robustness and adaptability of mixed herds

Résumé

The aim of this viability algorithm is to assess the adaptability and robustness of mixed ruminant herds in a stochastic context. The model associated with this algorithm was applied to grass-based mixed herds of dairy cattle and suckler sheep. Two levels of hazards were studied: meteorological (3 seasons, 2 conditions per season - dry and wet) and economic (selling price of milk, beef and sheep, 3 conditions for each - low, medium and high), giving a total of 216 different hazards. The model was calibrated using data acquired as part of the PAPILLE system experiment (INRAE-ASTER) between 2016 and 2023. .

Domaines

Agronomie

Dates et versions

hal-04731209 , version 1 (10-12-2024)

Licence

Identifiants

  • HAL Id : hal-04731209 , version 1

Citer

Thomas Puech. Viability algorithm to assess the robustness and adaptability of mixed herds. 2024. ⟨hal-04731209⟩
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