Source: International Journal of Plant Production. Unidade: ESALQ
Subjects: DELINEAMENTO EXPERIMENTAL, INFERÊNCIA BAYESIANA, MODELOS MATEMÁTICOS, SOJA
ABNT
RIBEIRO, João Gabriel e PIEDADE, Sonia Maria de Stefano. Applications of AMMI Bayesian Models in soybean production variables in the state of Mato Grosso, Brazil, from 1990 to 2020. International Journal of Plant Production, v. 17, p. 365–378, 2023Tradução . . Disponível em: https://doi.org/10.1007/s42106-023-00245-4. Acesso em: 24 set. 2024.APA
Ribeiro, J. G., & Piedade, S. M. de S. (2023). Applications of AMMI Bayesian Models in soybean production variables in the state of Mato Grosso, Brazil, from 1990 to 2020. International Journal of Plant Production, 17, 365–378. doi:10.1007/s42106-023-00245-4NLM
Ribeiro JG, Piedade SM de S. Applications of AMMI Bayesian Models in soybean production variables in the state of Mato Grosso, Brazil, from 1990 to 2020 [Internet]. International Journal of Plant Production. 2023 ; 17 365–378.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s42106-023-00245-4Vancouver
Ribeiro JG, Piedade SM de S. Applications of AMMI Bayesian Models in soybean production variables in the state of Mato Grosso, Brazil, from 1990 to 2020 [Internet]. International Journal of Plant Production. 2023 ; 17 365–378.[citado 2024 set. 24 ] Available from: https://doi.org/10.1007/s42106-023-00245-4