Source: Agronomy Science and Biotechnology. Unidade: ESALQ
Subjects: ARROZ, BIOMETRIA, FENÓTIPOS, INTERAÇÃO GENÓTIPO-AMBIENTE, IRRIGAÇÃO, MELHORAMENTO GENÉTICO VEGETAL
ABNT
SILVA JÚNIOR, Antônio Carlos Siva et al. Multi-information analysis for recommendation of flooded-irrigated rice for adaptability and phenotypic stability. Agronomy Science and Biotechnology, v. 8, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.33158/ASB.r145.v8.2022. Acesso em: 14 nov. 2024.APA
Silva Júnior, A. C. S., Siqueira, M. J. S., Costa, W. G., Sousa, I. C., Cruz, C. D., Nascimento, M., & Soares, P. C. S. (2022). Multi-information analysis for recommendation of flooded-irrigated rice for adaptability and phenotypic stability. Agronomy Science and Biotechnology, 8, 1-15. doi:10.33158/ASB.r145.v8.2022NLM
Silva Júnior ACS, Siqueira MJS, Costa WG, Sousa IC, Cruz CD, Nascimento M, Soares PCS. Multi-information analysis for recommendation of flooded-irrigated rice for adaptability and phenotypic stability [Internet]. Agronomy Science and Biotechnology. 2022 ; 8 1-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.33158/ASB.r145.v8.2022Vancouver
Silva Júnior ACS, Siqueira MJS, Costa WG, Sousa IC, Cruz CD, Nascimento M, Soares PCS. Multi-information analysis for recommendation of flooded-irrigated rice for adaptability and phenotypic stability [Internet]. Agronomy Science and Biotechnology. 2022 ; 8 1-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.33158/ASB.r145.v8.2022