Publications
Found 15 results
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“Adaptability and phenotypic stability of common bean genotypes through Bayesian inference”, vol. 15, p. -, 2016.
, “Adaptability and phenotypic stability of common bean genotypes through Bayesian inference”, vol. 15, p. -, 2016.
, “Adaptability and phenotypic stability of common bean genotypes through Bayesian inference”, vol. 15, p. -, 2016.
, “Artificial intelligence in the selection of common bean genotypes with high phenotypic stability”, vol. 15, p. -, 2016.
, “Artificial intelligence in the selection of common bean genotypes with high phenotypic stability”, vol. 15, p. -, 2016.
, “Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability”, vol. 15, p. -, 2016.
, “Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability”, vol. 15, p. -, 2016.
, “Bayesian forecasting of temporal gene expression by using an autoregressive panel data approach”, vol. 15, p. -, 2016.
, “Bayesian forecasting of temporal gene expression by using an autoregressive panel data approach”, vol. 15, p. -, 2016.
, “Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs”, vol. 15, p. -, 2016.
, “Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs”, vol. 15, p. -, 2016.
, “Measurements of experimental precision for trials with cowpea (Vigna unguiculata L. Walp.) genotypes”, vol. 15, p. -, 2016.
, “Measurements of experimental precision for trials with cowpea (Vigna unguiculata L. Walp.) genotypes”, vol. 15, p. -, 2016.
, “Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stability”, vol. 15, no. 4, p. -, 2016.
,
Conflicts of interest
The authors declare no conflict of interest.
ACKNOWLEDGMENTS
We thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for financial support.
REFERENCES
Almeida WS, Fernandes FRB, Teófilo EM, Bertini CHCM, et al (2012). Adaptability and stability of grain yield in cowpea under different biometrics. Rev. Bras. Agr. 18: 221-228.
Banzatto DA and Kronka SN (2006). Experimentação agrícola. FUNEP, Jaboticabal.
Barros MA, Rocha MM, Gomes RLF, Silva KJD, et al (2013). Adaptabilidade e estabilidade produtiva de feijão-caupi de porte semiprostrado. Pesq. Agropec. Bras. 48: 403-410. http://dx.doi.org/10.1590/S0100-204X2013000400008
Barroso LMA, Teodoro PE, Nascimento M, Torres FE, et al. (2016). Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability. Genet. Mol. Res. 15: gmr.15017625.
Cochran WG, et al (1954). Some methods for strengthening the common χ2 tests. Biometrics 10: 417-451. http://dx.doi.org/10.2307/3001616
Correa AM, Teodoro PE, Gonçalves MC, Barroso LM, et al. (2016). Artificial intelligence in the selection of common bean genotypes with high phenotypic stability. Genet. Mol. Res. 15: gmr.15028230.
Cruz CD, et al (2013). GENES- a software package for analysis in experimental statistics and quantitative genetics. Acta Sci. Agron. 35: 271-276. http://dx.doi.org/10.4025/actasciagron.v35i3.21251
Cruz CD, Regazzi AJ and Carneiro PCS (2012). Modelos biométricos aplicados ao melhoramento genético. Imprensa Universitária, Viçosa.
Eberhart SA, Russell WA, et al (1966). Stability parameters for comparing varieties. Crop Sci. 6: 36-40. http://dx.doi.org/10.2135/cropsci1966.0011183X000600010011x
Finlay KW, Wilkinson GN, et al (1963). The analysis of adaptation in a plant-breeding programme. Crop Pasture Sci. 14: 742-754. http://dx.doi.org/10.1071/AR9630742
Haykin S (2009). Neural networks and learning machines. Prentice Hall, New Jersey.
Nascimento M, Peternelli LA, Cruz CD, Nascimento ACC, et al (2013). Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes. Crop Breed. Appl. Biotechnol. 13: 152-156. http://dx.doi.org/10.1590/S1984-70332013000200008
Nunes HF, Filho FRF, Ribeiro VQ, Gomes RLF, et al (2014). Grain yield adaptability and stability of blackeyed cowpea genotypes under rainfed agriculture in Brazil. Afr. J. Agr. 9: 255-261. http://dx.doi.org/10.5897/AJAR212.2204
Oliveira OMS, Silva JF, Ferreira FM, Klehm CS, et al (2013). Associações genotípicas entre componentes de produção e caracteres agronômicos em feijão-caupi. Rev. Cienc. Agron. 44: 851-857. http://dx.doi.org/10.1590/S1806-66902013000400023
R Development Core Team (2011). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available at [https://www.r-project.org/.]
Rocha MM, Freire Filho FR, Ribeiro VQ, Carvalho HWL, et al (2007). Adaptabilidade e estabilidade produtiva de genótipos de feijão-caupi de porte semiereto na região Nordeste do Brasil. Pesq. Agropec. Bras. 42: 1283-1289. http://dx.doi.org/10.1590/S0100-204X2007000900010
Santos A, Ceccon G, Rodrigues EV, Teodoro PE, et al (2015). Adaptability and stability of cowpea genotypes to Brazilian Midwest. Afr. J. Agric. Res. 10: 3901-3908. http://dx.doi.org/10.5897/AJAR2015.10165
Santos JAS, Teodoro PE, Correa AM, Soares CMG, et al (2014a). Desempenho agronômico e divergência genética entre genótipos de feijão-caupi cultivados no ecótono Cerrado/Pantanal. Bragantia 73: 377-382. http://dx.doi.org/10.1590/1678-4499.0250
Santos JAS, Soares CMG, Corrêa AM, Teodoro PE, et al (2014b). Agronomic performance and genetic dissimilarity among cowpea [Vigna unguiculata (L.) Walp.] genotypes. Glob. Adv. Res. J. Agr. Sci. 3: 271-277.
Teodoro PE, Barroso LMA, Nascimento M, Torres FE, et al (2015a). Redes neurais artificiais para identificar genótipos de feijão-caupi semiprostrado com alta adaptabilidade e estabilidade fenotípicas. Pesq. Agropec. Bras. 50: 1054-1060. http://dx.doi.org/10.1590/S0100-204X2015001100008
Teodoro PE, Nascimento M, Torres FE, Barroso LMA, et al (2015b). Perspectiva baysiana na seleção de genótipos de feijão-caupi em ensaios de valor de cultivo e uso. Pesq. Agropec. Bras. 50: 878-885. http://dx.doi.org/10.1590/S0100-204X2015001000003
Torres FE, Sagrilo E, Teodoro PE, Ribeiro LP, et al (2015a). Número de repetições para avaliação de caracteres em genótipos de feijão-caupi. Bragantia 74: 161-168. http://dx.doi.org/10.1590/1678-4499.0393
Torres FE, Teodoro PE, Sagrilo E, Correa AM, et al (2015b). Interação genótipo x ambiente em genótipos de feijão-caupi semiprostrado via modelos mistos. Bragantia 74: 255-260. http://dx.doi.org/10.1590/1678-4499.0099
Torres FE, Teodoro PE, Rodrigues EV, Santos A, et al. (2016). Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed models. Genet. Mol. Res. 15: gmr.15028272.
“Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stability”, vol. 15, no. 4, p. -, 2016.
,
Conflicts of interest
The authors declare no conflict of interest.
ACKNOWLEDGMENTS
We thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for financial support.
REFERENCES
Almeida WS, Fernandes FRB, Teófilo EM, Bertini CHCM, et al (2012). Adaptability and stability of grain yield in cowpea under different biometrics. Rev. Bras. Agr. 18: 221-228.
Banzatto DA and Kronka SN (2006). Experimentação agrícola. FUNEP, Jaboticabal.
Barros MA, Rocha MM, Gomes RLF, Silva KJD, et al (2013). Adaptabilidade e estabilidade produtiva de feijão-caupi de porte semiprostrado. Pesq. Agropec. Bras. 48: 403-410. http://dx.doi.org/10.1590/S0100-204X2013000400008
Barroso LMA, Teodoro PE, Nascimento M, Torres FE, et al. (2016). Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability. Genet. Mol. Res. 15: gmr.15017625.
Cochran WG, et al (1954). Some methods for strengthening the common χ2 tests. Biometrics 10: 417-451. http://dx.doi.org/10.2307/3001616
Correa AM, Teodoro PE, Gonçalves MC, Barroso LM, et al. (2016). Artificial intelligence in the selection of common bean genotypes with high phenotypic stability. Genet. Mol. Res. 15: gmr.15028230.
Cruz CD, et al (2013). GENES- a software package for analysis in experimental statistics and quantitative genetics. Acta Sci. Agron. 35: 271-276. http://dx.doi.org/10.4025/actasciagron.v35i3.21251
Cruz CD, Regazzi AJ and Carneiro PCS (2012). Modelos biométricos aplicados ao melhoramento genético. Imprensa Universitária, Viçosa.
Eberhart SA, Russell WA, et al (1966). Stability parameters for comparing varieties. Crop Sci. 6: 36-40. http://dx.doi.org/10.2135/cropsci1966.0011183X000600010011x
Finlay KW, Wilkinson GN, et al (1963). The analysis of adaptation in a plant-breeding programme. Crop Pasture Sci. 14: 742-754. http://dx.doi.org/10.1071/AR9630742
Haykin S (2009). Neural networks and learning machines. Prentice Hall, New Jersey.
Nascimento M, Peternelli LA, Cruz CD, Nascimento ACC, et al (2013). Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes. Crop Breed. Appl. Biotechnol. 13: 152-156. http://dx.doi.org/10.1590/S1984-70332013000200008
Nunes HF, Filho FRF, Ribeiro VQ, Gomes RLF, et al (2014). Grain yield adaptability and stability of blackeyed cowpea genotypes under rainfed agriculture in Brazil. Afr. J. Agr. 9: 255-261. http://dx.doi.org/10.5897/AJAR212.2204
Oliveira OMS, Silva JF, Ferreira FM, Klehm CS, et al (2013). Associações genotípicas entre componentes de produção e caracteres agronômicos em feijão-caupi. Rev. Cienc. Agron. 44: 851-857. http://dx.doi.org/10.1590/S1806-66902013000400023
R Development Core Team (2011). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available at [https://www.r-project.org/.]
Rocha MM, Freire Filho FR, Ribeiro VQ, Carvalho HWL, et al (2007). Adaptabilidade e estabilidade produtiva de genótipos de feijão-caupi de porte semiereto na região Nordeste do Brasil. Pesq. Agropec. Bras. 42: 1283-1289. http://dx.doi.org/10.1590/S0100-204X2007000900010
Santos A, Ceccon G, Rodrigues EV, Teodoro PE, et al (2015). Adaptability and stability of cowpea genotypes to Brazilian Midwest. Afr. J. Agric. Res. 10: 3901-3908. http://dx.doi.org/10.5897/AJAR2015.10165
Santos JAS, Teodoro PE, Correa AM, Soares CMG, et al (2014a). Desempenho agronômico e divergência genética entre genótipos de feijão-caupi cultivados no ecótono Cerrado/Pantanal. Bragantia 73: 377-382. http://dx.doi.org/10.1590/1678-4499.0250
Santos JAS, Soares CMG, Corrêa AM, Teodoro PE, et al (2014b). Agronomic performance and genetic dissimilarity among cowpea [Vigna unguiculata (L.) Walp.] genotypes. Glob. Adv. Res. J. Agr. Sci. 3: 271-277.
Teodoro PE, Barroso LMA, Nascimento M, Torres FE, et al (2015a). Redes neurais artificiais para identificar genótipos de feijão-caupi semiprostrado com alta adaptabilidade e estabilidade fenotípicas. Pesq. Agropec. Bras. 50: 1054-1060. http://dx.doi.org/10.1590/S0100-204X2015001100008
Teodoro PE, Nascimento M, Torres FE, Barroso LMA, et al (2015b). Perspectiva baysiana na seleção de genótipos de feijão-caupi em ensaios de valor de cultivo e uso. Pesq. Agropec. Bras. 50: 878-885. http://dx.doi.org/10.1590/S0100-204X2015001000003
Torres FE, Sagrilo E, Teodoro PE, Ribeiro LP, et al (2015a). Número de repetições para avaliação de caracteres em genótipos de feijão-caupi. Bragantia 74: 161-168. http://dx.doi.org/10.1590/1678-4499.0393
Torres FE, Teodoro PE, Sagrilo E, Correa AM, et al (2015b). Interação genótipo x ambiente em genótipos de feijão-caupi semiprostrado via modelos mistos. Bragantia 74: 255-260. http://dx.doi.org/10.1590/1678-4499.0099
Torres FE, Teodoro PE, Rodrigues EV, Santos A, et al. (2016). Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed models. Genet. Mol. Res. 15: gmr.15028272.