Multitrait machine‐ and deep‐learning models for genomic selection using spectral information in a wheat breeding program

Abstract Prediction of breeding values is central to plant breeding and has been revolutionized by the adoption of genomic selection (GS). Use of machine‐ and deep‐learning algorithms applied to complex traits in plants can improve prediction accuracies. Because of the tremendous increase in collect...

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Auteurs principaux: Karansher Sandhu, Shruti Sunil Patil, Michael Pumphrey, Arron Carter
Format: article
Langue:EN
Publié: Wiley 2021
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Accès en ligne:https://doaj.org/article/af5dd8233cd340e3a2bc7acfae77f353
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