Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment.
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ABSTRACT:
SUBMITTER: de Sousa K
PROVIDER: S-EPMC8376984 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
Publications
Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment.
de Sousa Kauê K van Etten Jacob J Poland Jesse J Fadda Carlo C Jannink Jean-Luc JL Kidane Yosef Gebrehawaryat YG Lakew Basazen Fantahun BF Mengistu Dejene Kassahun DK Pè Mario Enrico ME Solberg Svein Øivind SØ Dell'Acqua Matteo M
Communications biology 20210819 1
Crop breeding must embrace the broad diversity of smallholder agricultural systems to ensure food security to the hundreds of millions of people living in challenging production environments. This need can be addressed by combining genomics, farmers' knowledge, and environmental analysis into a data-driven decentralized approach (3D-breeding). We tested this idea as a proof-of-concept by comparing a durum wheat (Triticum durum Desf.) decentralized trial distributed as incomplete blocks in 1,165 ...[more]
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