Refining penalized ridge regression : A novel method for optimizing the regularization parameter in genomic prediction.

The popularity of genomic selection as an efficient and cost-effective approach to estimate breeding values continues to increase, due in part to the significant saving in phenotyping. Ridge regression is one of the most popular methods used for genomic prediction; however, its efficiency (in terms...

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Detalhes bibliográficos

Autor principal:	Montesinos-López, Abelardo (author)
Outros Autores:	Montesinos-López, Osval A. (author), Lecumberry, Federico (author), Fariello, Maria Ines (author), Montesinos-López, José C. (author), Crossa, José (author)
Formato:	article
Idioma:	inglês
Publicado em:	2024
Assuntos:	Ridge regression Genomic prediction GenPred Shared Data Resource Plant breeding Breeding values Penalized regression
Acesso em linha:	https://academic.oup.com/g3journal/advance-article/doi/10.1093/g3journal/jkae246/7888815 https://hdl.handle.net/20.500.12008/46936
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