Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage

Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage

To enable a scalable sparse testing genomic selection (GS) strategy at preliminary yield trials in the CIMMYT maize breeding program, optimal approaches to incorporate genotype by environment interaction (GEI) in genomic prediction models are explored. Two cross-validation schemes were evaluated: CV...

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Bibliographic Details
Main Authors: Sikiru Adeniyi Atanda, Michael Olsen, Jose Crossa, Juan Burgueño, Renaud Rincent, Daniel Dzidzienyo, Yoseph Beyene, Manje Gowda, Kate Dreher, Prasanna M. Boddupalli, Pangirayi Tongoona, Eric Yirenkyi Danquah, Gbadebo Olaoye, Kelly R. Robbins
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Plant Science
Subjects:
genomic selection
factor analytic
preliminary yield trials
prediction accuracy
unstructured model
CDmean
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.658978/full

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https://www.frontiersin.org/articles/10.3389/fpls.2021.658978/full

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