Ideotype map research based on a crop model in the context of a climatic gradient

Diariétou Sambakhé, Eric Gozé, Jean-Noël Bacro, Michael Dingkuhn, Myriam Adam, Malick Ndiaye, Bertrand Muller and Lauriane Rouan

Ecological Modelling, 2024, vol. 498, issue C

Abstract: Due to increasing climate uncertainties, optimizing plant traits is essential for sustainable agriculture. This article presents an approach that combines advanced modelling techniques to identify optimal plant traits under various agro-environmental conditions. By integrating a crop model, a climate generator, and our PEQI algorithm (Profile Expected Quantile Improvement), our method aims to create ideotype maps tailored to specific regions.

Keywords: Experimentation; Crop model; Varietal parameters; Input distribution; Stochastic model; Conditional optimization; Noisy function; PEQI criterion (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:498:y:2024:i:c:s030438002400228x

DOI: 10.1016/j.ecolmodel.2024.110840

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