Multiple-trait Model by Bayesian inference applied to environment efficient Coffea arabica with low-nitrogen nutrient (2023)
- Authors:
- Autor USP: SIQUEIRA, MICHELE JORGE SILVA - ESALQ
- Unidade: ESALQ
- DOI: 10.1590/1678-4499.20220157
- Assunto: CAFÉ
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Bragantia, SP
- Date published: 2023
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SILVA JÚNIOR, Antônio Carlos da et al. Multiple-trait Model by Bayesian inference applied to environment efficient Coffea arabica with low-nitrogen nutrient. Bragantia, v. 82, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1590/1678-4499.20220157. Acesso em: 01 maio 2024. -
APA
Silva Júnior, A. C. da, Moura, W. de M., Torres, L. G., Santos, I. G. dos, Siqueira, M. J. da S., Azevedo, C. F., & Cruz, C. D. (2023). Multiple-trait Model by Bayesian inference applied to environment efficient Coffea arabica with low-nitrogen nutrient. Bragantia, 82, 1-11. doi:10.1590/1678-4499.20220157 -
NLM
Silva Júnior AC da, Moura W de M, Torres LG, Santos IG dos, Siqueira MJ da S, Azevedo CF, Cruz CD. Multiple-trait Model by Bayesian inference applied to environment efficient Coffea arabica with low-nitrogen nutrient [Internet]. Bragantia. 2023 ; 82 1-11.[citado 2024 maio 01 ] Available from: https://doi.org/10.1590/1678-4499.20220157 -
Vancouver
Silva Júnior AC da, Moura W de M, Torres LG, Santos IG dos, Siqueira MJ da S, Azevedo CF, Cruz CD. Multiple-trait Model by Bayesian inference applied to environment efficient Coffea arabica with low-nitrogen nutrient [Internet]. Bragantia. 2023 ; 82 1-11.[citado 2024 maio 01 ] Available from: https://doi.org/10.1590/1678-4499.20220157 - Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures
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Informações sobre o DOI: 10.1590/1678-4499.20220157 (Fonte: oaDOI API)
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