Publications
Found 36 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.
, “Assessment of genetic divergence among coffee genotypes by Ward-MLM procedure in association with mixed models”, vol. 15, p. -, 2016.
, “Assessment of genetic divergence among coffee genotypes by Ward-MLM procedure in association with mixed models”, 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.
, “Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso”, vol. 15, p. -, 2016.
, “Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso”, vol. 15, p. -, 2016.
, “Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo”, vol. 15, p. -, 2016.
, “Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo”, vol. 15, p. -, 2016.
, “Clustering of soybean genotypes via Ward-MLM and ANNs associated with mixed models”, vol. 15, p. -, 2016.
, “Clustering of soybean genotypes via Ward-MLM and ANNs associated with mixed models”, vol. 15, p. -, 2016.
, “Correlations and path analysis among agronomic and technological traits of upland cotton”, vol. 15, p. -, 2016.
, “Correlations and path analysis among agronomic and technological traits of upland cotton”, vol. 15, p. -, 2016.
, “Identification of sorghum hybrids with high phenotypic stability using GGE biplot methodology”, vol. 15, p. -, 2016.
, “Identification of sorghum hybrids with high phenotypic stability using GGE biplot methodology”, 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.
, “Mixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regions”, vol. 15, p. -, 2016.
, “Mixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regions”, vol. 15, p. -, 2016.
, “Mixed models identify physic nut genotypes adapted to environments with different phosphorus availability”, vol. 15, p. -, 2016.
, “Mixed models identify physic nut genotypes adapted to environments with different phosphorus availability”, vol. 15, p. -, 2016.
, “Number of repetitions for evaluating technological traits in cotton genotypes”, vol. 15, p. -, 2016.
, “Number of repetitions for evaluating technological traits in cotton genotypes”, vol. 15, p. -, 2016.
, “Selection of common bean genotypes for the Cerrado/Pantanal ecotone via mixed models and multivariate analysis”, vol. 15, no. 4, p. -, 2016.
, Conflicts of interestThe authors declare no conflict of interest.ACKNOWLEDGMENTSResearch supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). REFERENCESCarbonell SAM, Chioratto AF, Resende MDV, Dias LAS, et al (2007). Estabilidade de cultivares e linhagens de feijoeiro em diferentes ambientes no Estado de São Paulo. Bragantia 66: 193-201. http://dx.doi.org/10.1590/S0006-87052007000200003 Conab - Companhia Nacional de Abastecimento (2015). Acompanhamento da safra brasileira: Grãos 2013/2014. Décimo levantamento/Agosto 2014. Available at [http://www.conab.gov.br]. Accessed July 10, 2015. Corrêa AM, Lima ARS, Braga DC, Ceccon G, et al (2015). Agronomic performance and genetic variability among common bean genotypes in Savanna/Pantanal ecotone. J. Agron. 14: 175-179. http://dx.doi.org/10.3923/ja.2015.175.179 Corrêa AM, Gonçalves MC, Teodoro PE, et al (2016a). Pattern analysis of multi-environment trials in common bean genotypes. Biosci. J. 32: 328-336. http://dx.doi.org/10.14393/BJ-v32n2a2016-29572 Corrêa AM, Teodoro PE, Gonçalves MC, Barroso LM, et al (2016b). Adaptability and phenotypic stability of common bean genotypes through Bayesian inference. Genet. Mol. Res. 15: .http://dx.doi.org/10.4238/gmr.15028260 Corrêa AM, Teodoro PE, Gonçalves MC, Barroso LM, et al (2016c). Artificial intelligence in the selection of common bean genotypes with high phenotypic stability. Genet. Mol. Res. 15: .http://dx.doi.org/10.4238/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, Torres RA, Vencovsky R, et al (1989). An alternative approach to the stability analysis proposed by Silva and Barreto. Rev. Bras. Genet. 12: 567-580. Cruz CD, Carneiro PCS and Regazzi AJ (2012). Modelos biométricos aplicados ao melhoramento genético. 3rd ed. Editora UFV, Viçosa. Fao - Food and Agriculture Organization of United Nations (2015). Food and agricultural commodities production. Available at [http://www.fao.org]. Accessed July 10, 2015. Finlay KW, Wilkinson GN, et al (1963). The analysis of adaptation in a plant-breeding programme. Aust. J. Agric. Res. 14: 742-754. http://dx.doi.org/10.1071/AR9630742 Martins SM, Melo PG, Faria LC, Souza TL, et al (2016). Genetic parameters and breeding strategies for high levels of iron and zinc in Phaseolus vulgaris L. Genet. Mol. Res. 15. http://dx.doi.org/10.4238/gmr.15028011 Regitano Neto A, Ramos Júnior EA, Gallo PB, Freitas JG, et al (2013). Comportamento de genótipos de arroz de terras altas no estado de São Paulo. Rev. Cienc. Agron. 44: 512-519. http://dx.doi.org/10.1590/S1806-66902013000300013 Resende MDV (2007). SELEGEN-REML/BLUP: sistema estatístico e seleção genética computadorizada via modelos lineares mistos. Embrapa Florestas, Colombo. Rocha RB, Muro-Abad JI, Araújo EF, Cruz CD, et al (2005). Avaliação do método centróide para estudo da estabilidade e adaptabilidade ao ambiente. Cienc. Florest. 15: 255-266. http://dx.doi.org/10.5902/198050981863 Silva MG, Arf O, Teodoro PE, et al (2015). Nitrogen topdressing and application ways of fluazifop-p-butyl + fomesafen in weed control and agronomic performance of common bean. An. Acad. Bras. Cienc. 87: 2301-2307. http://dx.doi.org/10.1590/0001-3765201520140347 Teodoro PE, Oliveira-Júnior JF, Cunha ER, Correa CCG, et al (2016). Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Mato Grosso do Sul State, Brazil. Meteorol. Atmos. Phys. 128: 197-209. http://dx.doi.org/10.1007/s00703-015-0408-y Torres FE, Teodoro PE, Sagrilo E, Ceccon G, et al (2015). 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. http://dx.doi.org/10.4238/gmr.15028272
“Selection of common bean (Phaseolus vulgaris L.) genotypes using a genotype plus genotype x environment interaction biplot”, vol. 15, p. -, 2016.
, “Selection of common bean (Phaseolus vulgaris L.) genotypes using a genotype plus genotype x environment interaction biplot”, vol. 15, p. -, 2016.
, “Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed models”, vol. 15, p. -, 2016.
, “Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed models”, vol. 15, p. -, 2016.
, “Usefulness of the HMRPGV method for simultaneous selection of upland cotton genotypes with greater fiber length and high yield stability”, vol. 15, p. -, 2016.
, “Usefulness of the HMRPGV method for simultaneous selection of upland cotton genotypes with greater fiber length and high yield stability”, 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.