Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice (2022)
- Authors:
- Autor USP: SIQUEIRA, MICHELE JORGE SILVA - ESALQ
- Unidade: ESALQ
- DOI: 10.1371/journal.pone.0259607
- Subjects: ARROZ; INFERÊNCIA BAYESIANA; INTERAÇÃO GENÓTIPO-AMBIENTE; IRRIGAÇÃO; MELHORAMENTO GENÉTICO VEGETAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco, CA
- Date published: 2022
- 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. Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice. Plos One, v. 17, n. 5, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0259607. Acesso em: 04 ago. 2025. -
APA
Silva Júnior, A. C. da, Sant’Anna, I. de C., Siqueira, M. J. S., Cruz, C. D., Azevedo, C. F., Nascimento, M., & Soares, P. C. (2022). Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice. Plos One, 17( 5), 1-13. doi:10.1371/journal.pone.0259607 -
NLM
Silva Júnior AC da, Sant’Anna I de C, Siqueira MJS, Cruz CD, Azevedo CF, Nascimento M, Soares PC. Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice [Internet]. Plos One. 2022 ; 17( 5): 1-13.[citado 2025 ago. 04 ] Available from: https://doi.org/10.1371/journal.pone.0259607 -
Vancouver
Silva Júnior AC da, Sant’Anna I de C, Siqueira MJS, Cruz CD, Azevedo CF, Nascimento M, Soares PC. Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice [Internet]. Plos One. 2022 ; 17( 5): 1-13.[citado 2025 ago. 04 ] Available from: https://doi.org/10.1371/journal.pone.0259607 - Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures
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Informações sobre o DOI: 10.1371/journal.pone.0259607 (Fonte: oaDOI API)
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