Classification and Regression Models for Genomic Selection of Skewed Phenotypes: A Case for Disease Resistance in Winter Wheat (Triticum aestivum L.)

Most genomic prediction models are linear regression models that assume continuous and normally distributed phenotypes, but responses to diseases such as stripe rust (caused by Puccinia striiformis f. sp. tritici) are commonly recorded in ordinal scales and percentages. Disease severity (SEV) and in...

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Detalles Bibliográficos
Autores principales: Merrick, Lance F., Lozada, Dennis N., Chen, Xianming, Carter, Arron H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904966/
https://www.ncbi.nlm.nih.gov/pubmed/35281841
http://dx.doi.org/10.3389/fgene.2022.835781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904966/
https://www.ncbi.nlm.nih.gov/pubmed/35281841
http://dx.doi.org/10.3389/fgene.2022.835781

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