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

Article English OPEN
Washington Gapare; Shiming Liu; Warren Conaty; Qian-Hao Zhu; Vanessa Gillespie; Danny Llewellyn; Warwick Stiller; Iain Wilson;
  • Publisher: Genetics Society of America
  • Journal: G3: Genes,volume 8,issue 5,pages1,721-1,732 (issn: 2160-1836, eissn: 2160-1836)
  • Related identifiers: pmc: PMC5940163, doi: 10.1534/g3.118.200140
  • Subject: Genomic selection | QH426-470 | marker × environment interaction | Genetics | Genomic prediction | Bayesian models | Investigations | Shared Data Resources | Gossypium hirsutum | GenPred

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 multi... View more
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