Linking genetic markers and crop model parameters using neural networks to enhance genomic prediction of integrative traits

IntroductionPredicting the performance (yield or other integrative traits) of cultivated plants is complex because it involves not only estimating the genetic value of the candidates to selection, the interactions between the genotype and the environment (GxE) but also the epistatic interactions bet...

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Bibliographic Details

Published in:	Frontiers in Plant Science
Main Authors:	Florian Larue, Lauriane Rouan, David Pot, Jean-François Rami, Delphine Luquet, Grégory Beurier
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-07-01
Subjects:	convolutional neural networks crop growth model genomic prediction sorghum CGM-WGP
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1393965/full