Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

“Sparse testing” refers to reduced multi-environment breeding trials in which not all genotypes of interest are grown in each environment. Using genomic-enabled prediction and a model embracing genotype × environment interaction (GE), the non-observed genotype-in-environment combinations can be pred...

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Bibliographic Details
Main Authors: Diego Jarquin, Reka Howard, Jose Crossa, Yoseph Beyene, Manje Gowda, Johannes W. R. Martini, Giovanny Covarrubias Pazaran, Juan Burgueño, Angela Pacheco, Martin Grondona, Valentin Wimmer, Boddupalli M. Prasanna
Format: Article
Language:English
Published: Oxford University Press 2020-08-01
Series:G3: Genes, Genomes, Genetics
Subjects:
genomic-enabled prediction accuracy
sparse testing methods
allocation of non-overlapping/overlapping genotypes in environments
random cross-validations
maize multi-environment trials
genotype-by-environment interaction ge
genpred
shared data resources
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.120.401349

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http://g3journal.org/lookup/doi/10.1534/g3.120.401349

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