Genomic-enabled prediction Kernel models with Random intercepts for multi-environment trials (2018)
Source: G3: Genes, Genomes, Genetics. Unidade: ESALQ
Subjects: INTERAÇÃO GENÓTIPO-AMBIENTE, MARCADOR MOLECULAR, SELEÇÃO GENÉTICA, GENÔMICA, MODELOS MATEMÁTICOS
ABNT
CUEVAS, J et al. Genomic-enabled prediction Kernel models with Random intercepts for multi-environment trials. G3: Genes, Genomes, Genetics, v. 8, n. 4, p. 1347-1365, 2018Tradução . . Disponível em: https://doi.org/10.1534/g3.117.300454. Acesso em: 11 nov. 2024.APA
Cuevas, J., Granato, I., Fritsche-Neto, R., Montesinos-Lopez, O. A., Burgueno, J., Bandeira, M. B. e, & Crossa, J. (2018). Genomic-enabled prediction Kernel models with Random intercepts for multi-environment trials. G3: Genes, Genomes, Genetics, 8( 4), 1347-1365. doi:10.1534/g3.117.300454NLM
Cuevas J, Granato I, Fritsche-Neto R, Montesinos-Lopez OA, Burgueno J, Bandeira MB e, Crossa J. Genomic-enabled prediction Kernel models with Random intercepts for multi-environment trials [Internet]. G3: Genes, Genomes, Genetics. 2018 ; 8( 4): 1347-1365.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1534/g3.117.300454Vancouver
Cuevas J, Granato I, Fritsche-Neto R, Montesinos-Lopez OA, Burgueno J, Bandeira MB e, Crossa J. Genomic-enabled prediction Kernel models with Random intercepts for multi-environment trials [Internet]. G3: Genes, Genomes, Genetics. 2018 ; 8( 4): 1347-1365.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1534/g3.117.300454