Incorporating gene expression and environment for genomic prediction in wheat

Incorporating gene expression and environment for genomic prediction in wheat

IntroductionThe adoption of novel molecular strategies such as genomic selection (GS) in crop breeding have been key to maintaining rates of genetic gain through increased efficiency and shortening the cycle of evaluation relative to conventional selection. In the search for improved methodologies t...

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Bibliographic Details
Main Authors: Jia Liu, Andrew Gock, Kerrie Ramm, Sandra Stops, Tanya Phongkham, Adam Norman, Russell Eastwood, Eric Stone, Shannon Dillon
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Plant Science
Subjects:
Bayesian analysis
environmental factor
genomic prediction
omics transcriptome
wheat
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1506434/full
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https://www.frontiersin.org/articles/10.3389/fpls.2025.1506434/full

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