Historical Datasets Support Genomic Selection Models for the Prediction of Cotton Fiber Quality Phenotypes Across Multiple Environments

Genomic selection (GS) has successfully been used in plant breeding to improve selection efficiency and reduce breeding time and cost. However, there has not been a study to evaluate GS prediction models that may be used for predicting cotton breeding lines across multiple environments. In this stud...

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Главные авторы:	Washington Gapare, Shiming Liu, Warren Conaty, Qian-Hao Zhu, Vanessa Gillespie, Danny Llewellyn, Warwick Stiller, Iain Wilson
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Oxford University Press 2018-05-01
Серии:	G3: Genes, Genomes, Genetics
Предметы:	Genomic prediction Genomic selection Bayesian models marker × environment interaction Gossypium hirsutum GenPred Shared Data Resources
Online-ссылка:	http://g3journal.org/lookup/doi/10.1534/g3.118.200140
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