Source: Euphytica. Unidade: ESALQ
Subjects: ARROZ, INFERÊNCIA BAYESIANA, INTERAÇÃO GENÓTIPO-AMBIENTE, IRRIGAÇÃO, MÉTODOS MCMC, MODELOS MATEMÁTICOS, SELEÇÃO GENÉTICA
ABNT
SILVA JUNIOR, Antônio Carlos da et al. Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L). Euphytica, v. 218, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10681-022-03077-x. Acesso em: 14 out. 2024.APA
Silva Junior, A. C. da, Sant’Anna, I. de C., Peixoto, M. A., Torres, L. G., Siqueira, M. J. S., Costa, W. G. da, et al. (2022). Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L). Euphytica, 218, 1-12. doi:10.1007/s10681-022-03077-xNLM
Silva Junior AC da, Sant’Anna I de C, Peixoto MA, Torres LG, Siqueira MJS, Costa WG da, Azevedo CF, Soares PC, Cruz CD. Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L) [Internet]. Euphytica. 2022 ; 218 1-12.[citado 2024 out. 14 ] Available from: https://doi.org/10.1007/s10681-022-03077-xVancouver
Silva Junior AC da, Sant’Anna I de C, Peixoto MA, Torres LG, Siqueira MJS, Costa WG da, Azevedo CF, Soares PC, Cruz CD. Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L) [Internet]. Euphytica. 2022 ; 218 1-12.[citado 2024 out. 14 ] Available from: https://doi.org/10.1007/s10681-022-03077-x