Source: Crop Science. Unidade: ESALQ
Subjects: CRUZAMENTO VEGETAL, GENÔMICA, HIBRIDAÇÃO VEGETAL, INTERAÇÃO GENÓTIPO-AMBIENTE, MARCADOR MOLECULAR, MILHO, MODELOS (ANÁLISE MULTIVARIADA), POLIMORFISMO
ABNT
KRAUSE, Matheus Dalsente et al. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models. Crop Science, v. 60, p. 3049–3065, 2020Tradução . . Disponível em: https://doi.org/10.1002/csc2.20253. Acesso em: 31 out. 2024.APA
Krause, M. D., Dias, K. O. das G., Santos, J. P. R. dos, Oliveira, A. A. de, Guimaraes, L. J. M., Pastina, M. M., et al. (2020). Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models. Crop Science, 60, 3049–3065. doi:10.1002/csc2.20253NLM
Krause MD, Dias KO das G, Santos JPR dos, Oliveira AA de, Guimaraes LJM, Pastina MM, Margarido GRA, Garcia AAF. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models [Internet]. Crop Science. 2020 ; 60 3049–3065.[citado 2024 out. 31 ] Available from: https://doi.org/10.1002/csc2.20253Vancouver
Krause MD, Dias KO das G, Santos JPR dos, Oliveira AA de, Guimaraes LJM, Pastina MM, Margarido GRA, Garcia AAF. Boosting predictive ability of tropical maize hybrids via genotype-by-environment interaction under multivariate GBLUP models [Internet]. Crop Science. 2020 ; 60 3049–3065.[citado 2024 out. 31 ] Available from: https://doi.org/10.1002/csc2.20253