Multivariate GBLUP Improves Accuracy of Genomic Selection for Yield and Fruit Weight in Biparental Populations of Vaccinium macrocarpon Ait

Multivariate GBLUP Improves Accuracy of Genomic Selection for Yield and Fruit Weight in Biparental Populations of Vaccinium macrocarpon Ait

The development of high-throughput genotyping has made genome-wide association (GWAS) and genomic selection (GS) applications possible for both model and non-model species. The exploitation of genome-assisted approaches could greatly benefit breeding efforts in American cranberry (Vaccinium macrocar...

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Bibliographic Details
Main Authors: Giovanny Covarrubias-Pazaran, Brandon Schlautman, Luis Diaz-Garcia, Edward Grygleski, James Polashock, Jennifer Johnson-Cicalese, Nicholi Vorsa, Massimo Iorizzo, Juan Zalapa
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Plant Science
Subjects:
genomic prediction
prediction accuracy
genomic selection
multivariate models
Vaccinium macrocarpon
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2018.01310/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2018.01310/full

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