Article
Historical Datasets Support Genomic Selection Models for the Prediction of Cotton Fiber Quality Phenotypes Across Multiple Environments.
G3 (Bethesda, Md.) - 4 May 2018
Gapare Washington, Liu Shiming, Conaty Warren, Zhu Qian-Hao, Gillespie Vanessa, Llewellyn Danny, Stiller Warwick, Wilson Iain
Abstract excerpt
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 study, we evaluated the performance of Bayes Ridge Regression, BayesA, BayesB, BayesC and Reproducing Kernel Hilbert...
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