A Penalized Regression Method for Genomic Prediction Reduces Mismatch between Training and Testing Sets.

Autor: Montesinos-López OA; Facultad de Telemática, Universidad de Colima, Colima 28040, Mexico., Pulido-Carrillo CD; Facultad de Telemática, Universidad de Colima, Colima 28040, Mexico., Montesinos-López A; Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, Guadalajara 44430, Mexico., Larios Trejo JA; Facultad de Ciencias de la Educación, Universidad de Colima, Colima 28040, Mexico., Montesinos-López JC; Department of Public Health Sciences, University of California Davis, Davis, CA 95616, USA., Agbona A; International Institute of Tropical Agriculture (IITA), Ibadan 200113, Nigeria.; Molecular & Environmental Plant Sciences, Texas A&M University, College Station, TX 77843, USA., Crossa J; International Maize and Wheat Improvement Center (CIMMYT), Km 45, Carretera Mexico-Veracruz, Texcoco 52640, Mexico.; Louisiana State University, Baton Rouge, LA 70803, USA.; Distinguished Scientist Fellowship Program and Department of Statistics and Operations Research, King Saud University, Riyah 11451, Saudi Arabia.; Colegio de Postgraduados, Montecillos 56230, Mexico.

Publikováno v: Genes [Genes (Basel)] 2024 Jul 23; Vol. 15 (8). Date of Electronic Publication: 2024 Jul 23.