Assessing the response to genomic selection by simulation

KEY MESSAGE: We propose a simulation approach to compute response to genomic selection on a multi-environment framework to provide breeders the number of entries that need to be selected from the population to have a defined probability of selecting the truly best entry from the population and the p...

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Detalles Bibliográficos
Autores principales: Buntaran, Harimurti, Bernal-Vasquez, Angela Maria, Gordillo, Andres, Sahr, Morten, Wimmer, Valentin, Piepho, Hans-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325815/
https://www.ncbi.nlm.nih.gov/pubmed/35831462
http://dx.doi.org/10.1007/s00122-022-04157-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325815/
https://www.ncbi.nlm.nih.gov/pubmed/35831462
http://dx.doi.org/10.1007/s00122-022-04157-1

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