Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping

Random regression models (RRM) are used extensively for genomic inference and prediction of time-valued traits in animal breeding, but only recently have been used in plant systems. High-throughput phenotyping (HTP) platforms provide a powerful means to collect high-dimensional phenotypes throughout...

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Detalles Bibliográficos
Autores principales: Baba, Toshimi, Momen, Mehdi, Campbell, Malachy T., Walia, Harkamal, Morota, Gota
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996807/
https://www.ncbi.nlm.nih.gov/pubmed/32012182
http://dx.doi.org/10.1371/journal.pone.0228118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996807/
https://www.ncbi.nlm.nih.gov/pubmed/32012182
http://dx.doi.org/10.1371/journal.pone.0228118

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