A data-driven simulation platform to predict cultivars' performances under uncertain weather conditions.
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ABSTRACT:
SUBMITTER: de Los Campos G
PROVIDER: S-EPMC7519145 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
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A data-driven simulation platform to predict cultivars' performances under uncertain weather conditions.
de Los Campos Gustavo G Pérez-Rodríguez Paulino P Bogard Matthieu M Gouache David D Crossa José J
Nature communications 20200925 1
In most crops, genetic and environmental factors interact in complex ways giving rise to substantial genotype-by-environment interactions (G×E). We propose that computer simulations leveraging field trial data, DNA sequences, and historical weather records can be used to tackle the longstanding problem of predicting cultivars' future performances under largely uncertain weather conditions. We present a computer simulation platform that uses Monte Carlo methods to integrate uncertainty about futu ...[more]
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