Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments

KEY MESSAGE: The accuracy of genomic prediction of phenotypes can be increased by including the top-ranked pairwise SNP interactions into the prediction model. ABSTRACT: We compared the predictive ability of various prediction models for a maize dataset derived from 910 doubled haploid lines from tw...

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Detalles Bibliográficos
Autores principales: Vojgani, Elaheh, Pook, Torsten, Martini, Johannes W. R., Hölker, Armin C., Mayer, Manfred, Schön, Chris-Carolin, Simianer, Henner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354961/
https://www.ncbi.nlm.nih.gov/pubmed/34115154
http://dx.doi.org/10.1007/s00122-021-03868-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354961/
https://www.ncbi.nlm.nih.gov/pubmed/34115154
http://dx.doi.org/10.1007/s00122-021-03868-1

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