A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions

Predicting crop performance in environments with limited field testing is challenging. Here the authors combine field experimental, DNA sequence, and weather data to predict genotypes’ future performance. They demonstrate the potential of this approach on a large dataset of wheat grain yield.

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Auteurs principaux: Gustavo de los Campos, Paulino Pérez-Rodríguez, Matthieu Bogard, David Gouache, José Crossa
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Q
Accès en ligne:https://doaj.org/article/bc194300c8a94b7fa8b5e2c7874bcc25
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