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Artigo de periodico
Water productivity in the biosynthesis of Origanum vulgare L. essential oil and biomass (2022)
Santos, Hugo Thaner; Sermarini, Renata Alcarde ; Moreno-Pizani, Maria Alejandra; Marques, Patricia Angélica Alves
Source: Polish Journal of Agronomy. Unidade: ESALQ
Subjects: ÁGUA DO SOLO, BIOMASSA, FENOLOGIA, IRRIGAÇÃO POR GOTEJAMENTO, ÓLEOS ESSENCIAIS, ORÉGANO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Hugo Thaner et al. Water productivity in the biosynthesis of Origanum vulgare L. essential oil and biomass. Polish Journal of Agronomy, v. 51, p. 3-10, 2022Tradução . . Disponível em: https://doi.org/10.26114/pja.iung.491.2022.51.01. Acesso em: 15 nov. 2024.
APA
Santos, H. T., Sermarini, R. A., Moreno-Pizani, M. A., & Marques, P. A. A. (2022). Water productivity in the biosynthesis of Origanum vulgare L. essential oil and biomass. Polish Journal of Agronomy, 51, 3-10. doi:10.26114/pja.iung.491.2022.51.01
NLM
Santos HT, Sermarini RA, Moreno-Pizani MA, Marques PAA. Water productivity in the biosynthesis of Origanum vulgare L. essential oil and biomass [Internet]. Polish Journal of Agronomy. 2022 ; 51 3-10.[citado 2024 nov. 15 ] Available from: https://doi.org/10.26114/pja.iung.491.2022.51.01
Vancouver
Santos HT, Sermarini RA, Moreno-Pizani MA, Marques PAA. Water productivity in the biosynthesis of Origanum vulgare L. essential oil and biomass [Internet]. Polish Journal of Agronomy. 2022 ; 51 3-10.[citado 2024 nov. 15 ] Available from: https://doi.org/10.26114/pja.iung.491.2022.51.01
Artigo de periodico
Analysis of sunflower data from a multi-attribute g enotype ×environment trial in Brazil (2016)
García-Peña, Marisol; Arciniegas Alarcón, Sergio; Basford, Kaye; Dias, Carlos Tadeu dos Santos
Source: Communications in Biometry and Crop Science. Unidade: ESALQ
Subjects: GIRASSOL, INTERAÇÃO GENÓTIPO-AMBIENTE, COMPONENTES PRINCIPAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCÍA-PEÑA, Marisol et al. Analysis of sunflower data from a multi-attribute g enotype ×environment trial in Brazil. Communications in Biometry and Crop Science, v. 11, n. 2, p. 127–139, 2016Tradução . . Disponível em: http://agrobiol.sggw.waw.pl/~cbcs/articles/CBCS_11_2_4.pdf. Acesso em: 15 nov. 2024.
APA
García-Peña, M., Arciniegas Alarcón, S., Basford, K., & Dias, C. T. dos S. (2016). Analysis of sunflower data from a multi-attribute g enotype ×environment trial in Brazil. Communications in Biometry and Crop Science, 11( 2), 127–139. Recuperado de http://agrobiol.sggw.waw.pl/~cbcs/articles/CBCS_11_2_4.pdf
NLM
García-Peña M, Arciniegas Alarcón S, Basford K, Dias CT dos S. Analysis of sunflower data from a multi-attribute g enotype ×environment trial in Brazil [Internet]. Communications in Biometry and Crop Science. 2016 ; 11( 2): 127–139.[citado 2024 nov. 15 ] Available from: http://agrobiol.sggw.waw.pl/~cbcs/articles/CBCS_11_2_4.pdf
Vancouver
García-Peña M, Arciniegas Alarcón S, Basford K, Dias CT dos S. Analysis of sunflower data from a multi-attribute g enotype ×environment trial in Brazil [Internet]. Communications in Biometry and Crop Science. 2016 ; 11( 2): 127–139.[citado 2024 nov. 15 ] Available from: http://agrobiol.sggw.waw.pl/~cbcs/articles/CBCS_11_2_4.pdf
Artigo de periodico
Statistical analysis of yield trials by AMMI analysis of genotype × environment interaction (2014)
Hongyu, Kuang; García-Peña, Marisol; Araújo, Lúcio Borges de; Dias, Carlos Tadeu dos Santos
Source: Biometrical Letters. Unidade: ESALQ
Subjects: INTERAÇÃO GENÓTIPO-AMBIENTE, MODELOS MATEMÁTICOS, MILHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HONGYU, Kuang et al. Statistical analysis of yield trials by AMMI analysis of genotype × environment interaction. Biometrical Letters, v. 51 n. 2, p. 89-102, 2014Tradução . . Disponível em: https://doi.org/10.2478/bile-2014-0007. Acesso em: 15 nov. 2024.
APA
Hongyu, K., García-Peña, M., Araújo, L. B. de, & Dias, C. T. dos S. (2014). Statistical analysis of yield trials by AMMI analysis of genotype × environment interaction. Biometrical Letters, 51 n. 2, 89-102. doi:10.2478/bile-2014-0007
NLM
Hongyu K, García-Peña M, Araújo LB de, Dias CT dos S. Statistical analysis of yield trials by AMMI analysis of genotype × environment interaction [Internet]. Biometrical Letters. 2014 ; 51 n. 2 89-102.[citado 2024 nov. 15 ] Available from: https://doi.org/10.2478/bile-2014-0007
Vancouver
Hongyu K, García-Peña M, Araújo LB de, Dias CT dos S. Statistical analysis of yield trials by AMMI analysis of genotype × environment interaction [Internet]. Biometrical Letters. 2014 ; 51 n. 2 89-102.[citado 2024 nov. 15 ] Available from: https://doi.org/10.2478/bile-2014-0007
Artigo de periodico
Imputing missing values in multi-environment trials using the singular value decomposition: an empirical comparison (2014)
Arciniegas Alarcón, Sergio; García-Peña, Marisol; Krzanowski, Wojtek Janusz; Dias, Carlos Tadeu dos Santos
Source: Communications in Biometry and Crop Science. Unidade: ESALQ
Subjects: INTERAÇÃO GENÓTIPO-AMBIENTE, ALGORITMOS GENÉTICOS, GENÉTICA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARCINIEGAS ALARCÓN, Sergio et al. Imputing missing values in multi-environment trials using the singular value decomposition: an empirical comparison. Communications in Biometry and Crop Science, v. 9, n. 2, p. 54\201370, 2014Tradução . . Disponível em: http://agrobiol.sggw.pl/~cbcs/articles/CBCS_9_2_2.pdf. Acesso em: 15 nov. 2024.
APA
Arciniegas Alarcón, S., García-Peña, M., Krzanowski, W. J., & Dias, C. T. dos S. (2014). Imputing missing values in multi-environment trials using the singular value decomposition: an empirical comparison. Communications in Biometry and Crop Science, 9( 2), 54\201370. Recuperado de http://agrobiol.sggw.pl/~cbcs/articles/CBCS_9_2_2.pdf
NLM
Arciniegas Alarcón S, García-Peña M, Krzanowski WJ, Dias CT dos S. Imputing missing values in multi-environment trials using the singular value decomposition: an empirical comparison [Internet]. Communications in Biometry and Crop Science. 2014 ; 9( 2): 54\201370.[citado 2024 nov. 15 ] Available from: http://agrobiol.sggw.pl/~cbcs/articles/CBCS_9_2_2.pdf
Vancouver
Arciniegas Alarcón S, García-Peña M, Krzanowski WJ, Dias CT dos S. Imputing missing values in multi-environment trials using the singular value decomposition: an empirical comparison [Internet]. Communications in Biometry and Crop Science. 2014 ; 9( 2): 54\201370.[citado 2024 nov. 15 ] Available from: http://agrobiol.sggw.pl/~cbcs/articles/CBCS_9_2_2.pdf

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