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2016
M. B. Marconato, Pereira, E. M., Silva, F. M., Bizari, E. H., Pinheiro, J. B., Mauro, A. O., Unêda-Trevisoli, S. H., Marconato, M. B., Pereira, E. M., Silva, F. M., Bizari, E. H., Pinheiro, J. B., Mauro, A. O., and Unêda-Trevisoli, S. H., Genetic divergence in a soybean (Glycine max) diversity panel based on agro-morphological traits, vol. 15, no. 4, p. -, 2016.
Conflicts of interest The authors declare no conflict of interest. ACKNOWLEDGMENTS The authors wish to thank CAPES for a fellowship, which was essential for the conclusion of the research, granted to M.B. Marconato. REFERENCES Alcantara Neto F, Gravina GA, Monteiro MMS, Morais FB, et al (2011). Análise de trilha do rendimento de grãos de soja na microrregião do Alto Médio Gurguéia. Commun. Sci. 2: 107-112. Brown-Guedira GL, Thompson JA, Nelson RL, Warburton ML, et al (2000). Evaluation of genetic diversity of soybean introductions and North American ancestors using RAPD and SSR markers. Crop Sci. 40: 815-823. http://dx.doi.org/10.2135/cropsci2000.403815x Bueno LCS, Mendes ANG, Carvalho SP, et al (2006). Natureza e objetivo no melhoramento de plantas. Melhor. Genet. Plantas- Princ. Proced. 2: 1724. Cruz CD and Carneiro PCS (2003). Modelos biométricos aplicados ao melhoramento genético 2. Editora UFV, Viçosa, 356-434. EMBRAPA (2012). Empresa Brasileira de Pesquisa Agropecuária. Tecnologias de Produção de Soja- Região Central do Brasil. Sistemas de Produção. https://www.embrapa.br/soja/cultivos/soja1 Accessed June 2, 2014. Fehr WR and Caviness CE (1977). Stages of soybean development. Cooperative Extension Service, Agriculture and Home Economics Experiment Station, Iowa State University, Ames. Ferraudo AS (2012). Técnicas de Análise Multivariada: uma introdução. StatSoft South América, São Caetano. Griffin JD, Palmer RG, et al (1995). Variability of thirteen isozyme loci in the USDA soybean germplasm collections. Crop Sci. 35: 897-904. http://dx.doi.org/10.2135/cropsci1995.0011183X003500030045x Hair JF, Anderson RE, Tatham RL and Black WC (2005). Análise multivariada de dados 5th edn. Bookman, Porto Alegre. Kaiser HF, et al (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika 23: 187-200. http://dx.doi.org/10.1007/BF02289233 Kisha TJ, Diers BW, et al (1997). Allele contribution of parents to selected progeny from two-way crosses. Soybean Genet. Newsletter 24: 190-193. Köppen W (1948). Climatologia: con un estudio de los climas de la tierra. Fondo de Cultura Econômica, Mexico, 478. Li Z, Nelson RL, et al (2001). Genetic diversity among soybean accessions from three countries measured by RAPDs. Crop Sci. 41: 1337-1347. http://dx.doi.org/10.2135/cropsci2001.4141337x Mahalanobis PO, et al (1936). On the generalized distance in statistics. Proc. Natl. Inst. Sci. India 2: 49-55. Manjarrez-Sandoval P, Carter TEJrWebbDM, Burton JW, et al (1997). RFLP genetic similarity estimates and coefficient of parentage as genetic variance predictors for soybean yield. Crop Sci. 37: 698-703. http://dx.doi.org/10.2135/cropsci1997.0011183X003700030002x Mulato BM, Möller M, Zucchi MI, Quecini V, et al (2010). Genetic diversity in soybean germplasm identified by SSR and EST-SSR markers. Pesqui. Agropecu. Bras. 45: 276-283. Muniz FRS, Mauro AO, Unêda-Trevisoli SH, Oliveira JA, et al (2002). Parâmetros genéticos e fenotípicos em populações segregantes de soja. Rev. Bras. Oleag. Fib. 6: 609-616. Oliveira MB, Vieira ESN, Schuster I, et al (2010). Construction of a molecular database for soybean cultivar identification in Brazil. Genet. Mol. Res. 9: 705-720. http://dx.doi.org/10.4238/vol9-2gmr706 Pádua GP, Zito RK, Arantes NE, França-Neto JB, et al (2010). Influência do tamanho da semente na qualidade fisiológica e na produtividade da cultura da soja. Rev. Bras. Sem. 32: 9-16. http://dx.doi.org/10.1590/S0101-31222010000300001 Perry MC, McIntosh MS, et al (1991). Plant genetic resources. Crop Sci. 31: 1350-1355. http://dx.doi.org/10.2135/cropsci1991.0011183X003100050054x Rigon JPG, Capuani S, Brito Neto JF, Rosa GM, et al (2012). Dissimilaridade genética e análise de trilha de cultivares de soja avaliada por meio de descritores quantitativos. Rev. Ceres 59: 233-240. http://dx.doi.org/10.1590/S0034-737X2012000200012 Silva KB, Bruzi AT, Zuffo AM, Zambiazzi EV, et al (2016). Adaptability and phenotypic stability of soybean cultivars for grain yield and oil content. Genet. Mol. Res. 15. http://dx.doi.org/10.4238/gmr.15026756 Sneller RC, Miles J, Hoyt JM, et al (1997). Agronomic performance of soybean plant introduction and their genetic similarity to elite lines. Crop Sci. 37: 1595-1600. http://dx.doi.org/10.2135/cropsci1997.0011183X003700050032x Wysmierski PT, Vello NA, et al (2013). The genetic base of Brazilian soybean cultivars: evolution over time and breeding implications. Genet. Mol. Biol. 36: 547-555. http://dx.doi.org/10.1590/S1415-47572013005000041
M. B. Marconato, Pereira, E. M., Silva, F. M., Bizari, E. H., Pinheiro, J. B., Mauro, A. O., Unêda-Trevisoli, S. H., Marconato, M. B., Pereira, E. M., Silva, F. M., Bizari, E. H., Pinheiro, J. B., Mauro, A. O., and Unêda-Trevisoli, S. H., Genetic divergence in a soybean (Glycine max) diversity panel based on agro-morphological traits, vol. 15, no. 4, p. -, 2016.
Conflicts of interest The authors declare no conflict of interest. ACKNOWLEDGMENTS The authors wish to thank CAPES for a fellowship, which was essential for the conclusion of the research, granted to M.B. Marconato. REFERENCES Alcantara Neto F, Gravina GA, Monteiro MMS, Morais FB, et al (2011). Análise de trilha do rendimento de grãos de soja na microrregião do Alto Médio Gurguéia. Commun. Sci. 2: 107-112. Brown-Guedira GL, Thompson JA, Nelson RL, Warburton ML, et al (2000). Evaluation of genetic diversity of soybean introductions and North American ancestors using RAPD and SSR markers. Crop Sci. 40: 815-823. http://dx.doi.org/10.2135/cropsci2000.403815x Bueno LCS, Mendes ANG, Carvalho SP, et al (2006). Natureza e objetivo no melhoramento de plantas. Melhor. Genet. Plantas- Princ. Proced. 2: 1724. Cruz CD and Carneiro PCS (2003). Modelos biométricos aplicados ao melhoramento genético 2. Editora UFV, Viçosa, 356-434. EMBRAPA (2012). Empresa Brasileira de Pesquisa Agropecuária. Tecnologias de Produção de Soja- Região Central do Brasil. Sistemas de Produção. https://www.embrapa.br/soja/cultivos/soja1 Accessed June 2, 2014. Fehr WR and Caviness CE (1977). Stages of soybean development. Cooperative Extension Service, Agriculture and Home Economics Experiment Station, Iowa State University, Ames. Ferraudo AS (2012). Técnicas de Análise Multivariada: uma introdução. StatSoft South América, São Caetano. Griffin JD, Palmer RG, et al (1995). Variability of thirteen isozyme loci in the USDA soybean germplasm collections. Crop Sci. 35: 897-904. http://dx.doi.org/10.2135/cropsci1995.0011183X003500030045x Hair JF, Anderson RE, Tatham RL and Black WC (2005). Análise multivariada de dados 5th edn. Bookman, Porto Alegre. Kaiser HF, et al (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika 23: 187-200. http://dx.doi.org/10.1007/BF02289233 Kisha TJ, Diers BW, et al (1997). Allele contribution of parents to selected progeny from two-way crosses. Soybean Genet. Newsletter 24: 190-193. Köppen W (1948). Climatologia: con un estudio de los climas de la tierra. Fondo de Cultura Econômica, Mexico, 478. Li Z, Nelson RL, et al (2001). Genetic diversity among soybean accessions from three countries measured by RAPDs. Crop Sci. 41: 1337-1347. http://dx.doi.org/10.2135/cropsci2001.4141337x Mahalanobis PO, et al (1936). On the generalized distance in statistics. Proc. Natl. Inst. Sci. India 2: 49-55. Manjarrez-Sandoval P, Carter TEJrWebbDM, Burton JW, et al (1997). RFLP genetic similarity estimates and coefficient of parentage as genetic variance predictors for soybean yield. Crop Sci. 37: 698-703. http://dx.doi.org/10.2135/cropsci1997.0011183X003700030002x Mulato BM, Möller M, Zucchi MI, Quecini V, et al (2010). Genetic diversity in soybean germplasm identified by SSR and EST-SSR markers. Pesqui. Agropecu. Bras. 45: 276-283. Muniz FRS, Mauro AO, Unêda-Trevisoli SH, Oliveira JA, et al (2002). Parâmetros genéticos e fenotípicos em populações segregantes de soja. Rev. Bras. Oleag. Fib. 6: 609-616. Oliveira MB, Vieira ESN, Schuster I, et al (2010). Construction of a molecular database for soybean cultivar identification in Brazil. Genet. Mol. Res. 9: 705-720. http://dx.doi.org/10.4238/vol9-2gmr706 Pádua GP, Zito RK, Arantes NE, França-Neto JB, et al (2010). Influência do tamanho da semente na qualidade fisiológica e na produtividade da cultura da soja. Rev. Bras. Sem. 32: 9-16. http://dx.doi.org/10.1590/S0101-31222010000300001 Perry MC, McIntosh MS, et al (1991). Plant genetic resources. Crop Sci. 31: 1350-1355. http://dx.doi.org/10.2135/cropsci1991.0011183X003100050054x Rigon JPG, Capuani S, Brito Neto JF, Rosa GM, et al (2012). Dissimilaridade genética e análise de trilha de cultivares de soja avaliada por meio de descritores quantitativos. Rev. Ceres 59: 233-240. http://dx.doi.org/10.1590/S0034-737X2012000200012 Silva KB, Bruzi AT, Zuffo AM, Zambiazzi EV, et al (2016). Adaptability and phenotypic stability of soybean cultivars for grain yield and oil content. Genet. Mol. Res. 15. http://dx.doi.org/10.4238/gmr.15026756 Sneller RC, Miles J, Hoyt JM, et al (1997). Agronomic performance of soybean plant introduction and their genetic similarity to elite lines. Crop Sci. 37: 1595-1600. http://dx.doi.org/10.2135/cropsci1997.0011183X003700050032x Wysmierski PT, Vello NA, et al (2013). The genetic base of Brazilian soybean cultivars: evolution over time and breeding implications. Genet. Mol. Biol. 36: 547-555. http://dx.doi.org/10.1590/S1415-47572013005000041