Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction

Autor: Massaine Bandeira e Sousa, Jaime Cuevas, Evellyn Giselly de Oliveira Couto, Paulino Pérez-Rodríguez, Diego Jarquín, Roberto Fritsche-Neto, Juan Burgueño, Jose Crossa

Publikováno v: G3: Genes, Genomes, Genetics, Vol 7, Iss 6, Pp 1995-2014 (2017)

Multi-environment trials are routinely conducted in plant breeding to select candidates for the next selection cycle. In this study, we compare the prediction accuracy of four developed genomic-enabled prediction models: (1) single-environment, main

Externí odkaz: https://doaj.org/article/f46e0ffe057748c1bf64076bc04399b7

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction.

Autor: Bandeira E Sousa M; Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13418-900 Brazil., Cuevas J; University of Quintana Roo, 77019 Chetumal, Mexico., de Oliveira Couto EG; Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13418-900 Brazil., Pérez-Rodríguez P; Colegio de Postgraduados, CP 56230 Montecillos, 56230 D.F., México., Jarquín D; Agronomy and Horticulture Department, University of Nebraska, Lincoln, Nebraska 68583-0915., Fritsche-Neto R; Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13418-900 Brazil., Burgueño J; Biometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), 06600 D.F., México., Crossa J; Biometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), 06600 D.F., México j.crossa@cgiar.org.

Publikováno v: G3 (Bethesda, Md.) [G3 (Bethesda)] 2017 Jun 07; Vol. 7 (6), pp. 1995-2014. Date of Electronic Publication: 2017 Jun 07.