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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Bibliografiske detaljer

Hovedforfatter:	Montesinos-López, Abelardo (author)
Andre forfattere:	Montesinos-López, Osval A. (author), Lecumberry, Federico (author), Fariello, Maria Ines (author), Montesinos-López, José C. (author), Crossa, José (author)
Format:	article
Sprog:	engelsk
Udgivet:	2024
Fag:	Ridge regression Genomic prediction GenPred Shared Data Resource Plant breeding Breeding values Penalized regression
Online adgang:	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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