Optimizing Sparse Testing for Genomic Prediction of Plant Breeding Crops

While sparse testing methods have been proposed by researchers to improve the efficiency of genomic selection (GS) in breeding programs, there are several factors that can hinder this. In this research, we evaluated four methods (M1–M4) for sparse testing allocation of lines to environments under mu...

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Detalles Bibliográficos
Autores principales: Montesinos-López, Osval A., Saint Pierre, Carolina, Gezan, Salvador A., Bentley, Alison R., Mosqueda-González, Brandon A., Montesinos-López, Abelardo, van Eeuwijk, Fred, Beyene, Yoseph, Gowda, Manje, Gardner, Keith, Gerard, Guillermo S., Crespo-Herrera, Leonardo, Crossa, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137724/
https://www.ncbi.nlm.nih.gov/pubmed/37107685
http://dx.doi.org/10.3390/genes14040927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137724/
https://www.ncbi.nlm.nih.gov/pubmed/37107685
http://dx.doi.org/10.3390/genes14040927

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