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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
C. P. Santos, Pinheiro, J. B., Zucchi, M. I., Bajay, M. M., Campos, J. B., Arrigoni-Blank, M. F., Pinto, J. A. O., Blank, A. F., Santos, C. P., Pinheiro, J. B., Zucchi, M. I., Bajay, M. M., Campos, J. B., Arrigoni-Blank, M. F., Pinto, J. A. O., and Blank, A. F., Genetic diversity of Lippia sidoides Cham. and L. gracilis Schauer germplasm, vol. 15, p. -, 2016.
C. P. Santos, Pinheiro, J. B., Zucchi, M. I., Bajay, M. M., Campos, J. B., Arrigoni-Blank, M. F., Pinto, J. A. O., Blank, A. F., Santos, C. P., Pinheiro, J. B., Zucchi, M. I., Bajay, M. M., Campos, J. B., Arrigoni-Blank, M. F., Pinto, J. A. O., and Blank, A. F., Genetic diversity of Lippia sidoides Cham. and L. gracilis Schauer germplasm, vol. 15, p. -, 2016.
S. S. Sandes, Zucchi, M. I., Pinheiro, J. B., Bajay, M. M., Batista, C. E. A., Brito, F. A., Arrigoni-Blank, M. F., Álvares-Carvalho, S. V., Silva-Mann, R., Blank, A. F., Sandes, S. S., Zucchi, M. I., Pinheiro, J. B., Bajay, M. M., Batista, C. E. A., Brito, F. A., Arrigoni-Blank, M. F., Álvares-Carvalho, S. V., Silva-Mann, R., and Blank, A. F., Molecular characterization of patchouli (Pogostemon spp) germplasm, vol. 15, p. -, 2016.
S. S. Sandes, Zucchi, M. I., Pinheiro, J. B., Bajay, M. M., Batista, C. E. A., Brito, F. A., Arrigoni-Blank, M. F., Álvares-Carvalho, S. V., Silva-Mann, R., Blank, A. F., Sandes, S. S., Zucchi, M. I., Pinheiro, J. B., Bajay, M. M., Batista, C. E. A., Brito, F. A., Arrigoni-Blank, M. F., Álvares-Carvalho, S. V., Silva-Mann, R., and Blank, A. F., Molecular characterization of patchouli (Pogostemon spp) germplasm, vol. 15, p. -, 2016.
D. C. Leite, Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., Unêda-Trevisoli, S. H., Leite, D. C., Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., Unêda-Trevisoli, S. H., Leite, D. C., Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., and Unêda-Trevisoli, S. H., QTL mapping of soybean oil content for marker-assisted selection in plant breeding program, vol. 15, p. -, 2016.
D. C. Leite, Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., Unêda-Trevisoli, S. H., Leite, D. C., Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., Unêda-Trevisoli, S. H., Leite, D. C., Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., and Unêda-Trevisoli, S. H., QTL mapping of soybean oil content for marker-assisted selection in plant breeding program, vol. 15, p. -, 2016.
D. C. Leite, Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., Unêda-Trevisoli, S. H., Leite, D. C., Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., Unêda-Trevisoli, S. H., Leite, D. C., Pinheiro, J. B., Campos, J. B., Di Mauro, A. O., and Unêda-Trevisoli, S. H., QTL mapping of soybean oil content for marker-assisted selection in plant breeding program, vol. 15, p. -, 2016.
2014
C. P. Santos, Rocha, D. S., Bajay, M. M., Santos, F. R. C., Campos, J. B., Pinheiro, J. B., Zucchi, M. I., Silva-Mann, R., Arrigoni-Blank, M. F., and Blank, A. F., Cross-species transferability of microsatellite markers in the genus Lippia, vol. 13, pp. 9846-9850, 2014.
A. F. Blank, Jesus, A. S., Santos, C. P., Grando, C., Pinheiro, J. B., Zucchi, M. I., and Arrigoni-Blank, M. F., Development and characterization of novel microsatellite markers in Hyptis pectinata (Lamiaceae), vol. 13, pp. 10173-10176, 2014.
G. Dequigiovanni, Ramos, S. L. F., Zucchi, M. I., Bajay, M. M., Pinheiro, J. B., Fabri, E. G., Bressan, E. A., and Veasey, E. A., Isolation and characterization of microsatellite loci for Bixa orellana, an important source of natural dyes, vol. 13, pp. 9097-9102, 2014.
M. Ogrzewalska, Bajay, M. M., Schwarcz, K., Bajay, S. K., Telles, M. P. C., Pinheiro, J. B., Zucchi, M. I., Pinter, A., and Labruna, M. B., Isolation and characterization of microsatellite loci from the tick Amblyomma aureolatum (Acari: Ixodidae), vol. 13, pp. 9622-9627, 2014.
L. R. G. Silva, Bajay, M. M., Monteiro, M., Mezette, T. F., Nascimento, W. F., Zucchi, M. I., Pinheiro, J. B., and Veasey, E. A., Isolation and characterization of microsatellites for the yam Dioscorea cayenensis (Dioscoreaceae) and cross-amplification in D. rotundata, vol. 13, pp. 2766-2771, 2014.
K. D. Schwarcz, Bajay, M. M., Macrini, C. M. T., Salazar, V. L. P., Souza, A. P., Pinheiro, J. B., Brancalion, P. H. S., Rodrigues, R. R., and Zucchi, M. I., Microsatellite markers for the Cabreúva tree, Myroxylon peruiferum (Fabaceae), an endangered medicinal species from the Brazilian Atlantic Forest, vol. 13, pp. 6920-6925, 2014.
M. M. Cavallari, Siqueira, M. V. B. M., Val, T. M., Pavanelli, J. C., Monteiro, M., Grando, C., Pinheiro, J. B., Zucchi, M. I., and Gimenes, M. A., A modified acidic approach for DNA extraction from plant species containing high levels of secondary metabolites, vol. 13, pp. 6497-6502, 2014.
M. A. R. Vieira, Marques, M. O. M., Haber, L. L., Vigna, B. B. Z., Bajay, M. M., Pinheiro, J. B., Souza, A. P., Semir, J., and Zucchi, M. I., New loci of Lychnophora ericoides and transferability to Lychnophora pinaster, endangered medicinal species from Brazil, vol. 13. pp. 10878-10882, 2014.
2012
G. E. Valle, Lourenção, A. L., Zucchi, M. I., and Pinheiro, J. B., Low polymorphism revealed in new microsatellite markers for Bemisia tabaci (Hemiptera: Aleyrodidae), vol. 11, pp. 3899-3903, 2012.
Belkhir K, Borsa P, Chikhi L, Raufaste N, et al (2004). GENETIX 4.05, Logiciel Sous Windows TM Pour la Génétique des Populations. Laboratoire Génome, Populations, Interactions, CNRS UMR 5000, Université de Montpellier II, Montpellier. Available at [http://www.genetix.univ-montp2.fr/genetix/genetix.htm/] Accessed September 9, 2010.   Berry SD, Fondong VN, Rey C, Rogan D, et al. (2004). Molecular evidence for five distinct Bemisia tabaci (Homoptera: Aleyrodidae) geographic haplotypes associated with cassava plants in Sub Saharan Africa. Ann. Entomol. Soc. Am. 97: 852-859. http://dx.doi.org/10.1603/0013-8746(2004)097[0852:MEFFDB]2.0.CO;2   Billotte N, Lagoda PJR, Risterucci AM and Baurens FC (1999). Microsatellite-enriched libraries: applied methodology for the development of SSR markers in tropical. Crops Fruits 54: 277-288.   Brown JK, Frohlich DR and Rosell RC (1995). The sweetpotato or silverleaf whiteflies: biotypes of Bemisia tabaci or a species complex? Ann. Rev. Entomol. 40: 511-534. http://dx.doi.org/10.1146/annurev.en.40.010195.002455   Byrne DN, Bellows TS Jr and Parella MP (1990). Whiteflies in Agricultural Systems. In: Whiteflies: Their Bionomics, Pest Status, and Management (Gerling D, ed.). Intercept Ltd., Andover, 227-261.   Creste S, Tulmann Neto A and Figueira A (2001). Detection of single repeat polymorphism in denaturing polyacrylamide sequencing gels by silver staining. Plant Mol. Biol. Rep. 19: 299-306. http://dx.doi.org/10.1007/BF02772828   Jones DR (2003). Plant viruses transmitted by whiteflies. Eur. J. Plant Pathol. 109: 195-219. http://dx.doi.org/10.1023/A:1022846630513   Lima LHC, Návia D, Inglis PW and Oliveira MRV (2000). Survey of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) biotypes in Brazil using RAPD markers. Genet. Mol. Biol. 23: 781-785. http://dx.doi.org/10.1590/S1415-47572000000400012   Martin JH and Mound LA (2007). An annotated check list of the world's whiteflies (Insecta: Hemiptera: Aleyrodidae). Zootaxa 1492: 1-84.   Nazareno AG and Reis MS (2011). The same but different: monomorphic microsatellite markers as a new tool for genetic analysis. Am. J. Bot. 98: e265-e267. http://dx.doi.org/10.3732/ajb.1100163 PMid:21926307   Perring TM (2001). The Bemisia tabaci species complex. Crop Prot. 20: 725-737. http://dx.doi.org/10.1016/S0261-2194(01)00109-0   Rozen S and Skaletsky HJ (2000). Primer3 on the WWW for general users and for biologist programmers. In: Bioinformatics Methods and Protocols: Methods in Molecular Biology (Krawetz and Misener S, eds.). Humana Press, Totowa, 365-386.   Valle GE, Zucchi MI, Stabellini NS, Lourenção AL, et al. (2011). Estrutura genética populacional de Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) utilizando marcadores microssatélites. Neotrop. Entomol. 40: 204-211. http://dx.doi.org/10.1590/S1519-566X2011000200008 PMid:21584401
2011
M. S. Sigrist, Pinheiro, J. B., Filho, J. A. Azevedo, and Zucchi, M. I., Genetic diversity of turmeric germplasm (Curcuma longa; Zingiberaceae) identified by microsatellite markers, vol. 10, pp. 419-428, 2011.
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Genetic divergence among Curcuma longa L. accessions. Crop Breed. Appl. Biotechnol. 5: 410-417.   Creste S, Tulmann-Neto A and Figueira A (2001). Detection of single sequence repeat polymorphims in denaturing polyacrylamide sequencing gels by silver staining. Plant Mol. Biol. Rep. 19: 299-306. http://dx.doi.org/10.1007/BF02772828   Doyle JJ and Doyle J (1987). A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem. Bull. 19: 11-15.   Evanno G, Regnaut S and Goudet J (2005). Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol. Ecol. 14: 2611-2620. http://dx.doi.org/10.1111/j.1365-294X.2005.02553.x PMid:15969739   Excoffier L, Smouse PE and Quattro JM (1992). Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131: 479-491. PMid:1644282 PMCid:1205020   Falush D, Stephens M and Pritchard JK (2007). Inference of population structure using multilocus genotype data: dominant markers and null alleles. Mol. Ecol. Notes 7: 574-578. http://dx.doi.org/10.1111/j.1471-8286.2007.01758.x PMid:18784791 PMCid:1974779   Ferreira ME, Moretzsohn MC and Buso GSC (2007). Fundamentos de Caracterização Molecular de Germoplasma Vegetal. In: Recursos Genéticos Vegetais (Nass LL, ed.). Embrapa, Brasília, 858.   Gilbert JE, Lewis RV, Wilkinson MJ and Caligari PDS (1999). Developing an appropriate strategy to assess genetic variability in plant germplasm collections. Theor. Appl. Genet. 98: 1125-1131. http://dx.doi.org/10.1007/s001220051176   Islam A (2004). Genetic diversity of the genus Curcuma in Bangladesh and further biotechnological approaches for in vitro regeneration and long-term conservation of C. longa germplasm. PhD thesis, University of Hannover, Hannover.   Joseph R, Joseph T and Jose J (1999). Karyomorphological studies in the genus Curcuma Linn. 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