Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat

BACKGROUND: Recently genomic selection (GS) has emerged as an important tool for plant breeders to select superior genotypes. Multi-trait (MT) prediction model provides an opportunity to improve the predictive ability of expensive and labor-intensive traits. In this study, we assessed the potential...

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Detalles Bibliográficos
Autores principales: Shahi, Dipendra, Guo, Jia, Pradhan, Sumit, Khan, Jahangir, AVCI, Muhsin, Khan, Naeem, McBreen, Jordan, Bai, Guihua, Reynolds, Matthew, Foulkes, John, Babar, Md Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004054/
https://www.ncbi.nlm.nih.gov/pubmed/35413795
http://dx.doi.org/10.1186/s12864-022-08487-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004054/
https://www.ncbi.nlm.nih.gov/pubmed/35413795
http://dx.doi.org/10.1186/s12864-022-08487-8

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