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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Bibliografische gegevens

Hoofdauteur:	Montesinos-López, Abelardo (author)
Andere auteurs:	Montesinos-López, Osval A. (author), Lecumberry, Federico (author), Fariello, Maria Ines (author), Montesinos-López, José C. (author), Crossa, José (author)
Formaat:	article
Taal:	Engels
Gepubliceerd in:	2024
Onderwerpen:	Ridge regression Genomic prediction GenPred Shared Data Resource Plant breeding Breeding values Penalized regression
Online toegang:	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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