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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書誌詳細

第一著者:	Montesinos-López, Abelardo (author)
その他の著者:	Montesinos-López, Osval A. (author), Lecumberry, Federico (author), Fariello, Maria Ines (author), Montesinos-López, José C. (author), Crossa, José (author)
フォーマット:	article
言語:	英語
出版事項:	2024
主題:	Ridge regression Genomic prediction GenPred Shared Data Resource Plant breeding Breeding values Penalized regression
オンライン･アクセス:	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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