Filtros : "DIAS, CARLOS TADEU DOS SANTOS" "Polônia" Removidos: "New York University" "OLIVEIRA JUNIOR, OSVALDO NOVAIS DE" "xxy" "2020-2022" Limpar

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  • Source: Communications in Biometry and Crop Science. Unidade: ESALQ

    Subjects: GIRASSOL, INTERAÇÃO GENÓTIPO-AMBIENTE, COMPONENTES PRINCIPAIS

    Acesso à fonteHow to cite
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    • 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: 30 jun. 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 jun. 30 ] 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 jun. 30 ] Available from: http://agrobiol.sggw.waw.pl/~cbcs/articles/CBCS_11_2_4.pdf
  • Source: Biometrical Letters. Unidade: ESALQ

    Subjects: INTERAÇÃO GENÓTIPO-AMBIENTE, MODELOS MATEMÁTICOS, MILHO

    Acesso à fonteDOIHow to cite
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    • 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: 30 jun. 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 jun. 30 ] 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 jun. 30 ] Available from: https://doi.org/10.2478/bile-2014-0007
  • Source: Communications in Biometry and Crop Science. Unidade: ESALQ

    Subjects: INTERAÇÃO GENÓTIPO-AMBIENTE, ALGORITMOS GENÉTICOS, GENÉTICA ESTATÍSTICA

    Acesso à fonteHow to cite
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    • 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: 30 jun. 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 jun. 30 ] 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 jun. 30 ] Available from: http://agrobiol.sggw.pl/~cbcs/articles/CBCS_9_2_2.pdf

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