Combining performance and estimated genetic diversity among soybean parents and F1 populations

Autores

  • Samuel Leandro Soares UniRV
  • Gustavo André Simon UniRV
  • Renata Cristina Alvares Caraiba Genética
  • Fernando Higino de Lima e Silva Instituto Federal Goiano

Palavras-chave:

Glycine max;, diallel;, general capacity;, specific capacity;, UPGMA.

Resumo

Studies about the combining ability and genetic diversity can provide information on the genetic resources contained in the working collection of germplasm. The objective of this study was to estimate the combining ability of ten soybean parents and their hybrids in the F1 generation using diallel analysis and genetic diversity analysis to evaluate the dissimilarity between parents and crosses. The experiment was carried out in a greenhouse, in a completely randomized design with five replications, during the 2019/2020 crop season, in the municipality of Rio Verde, State of Goiás, Brazil. Agronomic and physiological variables were evaluated. Data were subjected to analysis of variance. Diallel analysis was performed using the Griffing method 2. Analysis of genetic diversity was performed with the Mahalanobis generalized distance and the hierarchical average linkage clustering. Additive gene effects were predominant in the control of all variables analyzed in the F1 generation. The parents SYN 1163 RR and CG 7370 RR showed good complementarity for the variable grain yield. The thirty-five genotypes were separated into six groups, and the variable weight of one hundred seeds had the greatest contribution to genetic diversity.

Referências

Abreu FB, Leal NR, Rodrigues R, Amaral Júnior AT & Silva DJH (2004) Divergência genética entre acessos de feijão-de-vagem de hábito de crescimento indeterminado. Horticultura Brasileira, 22:547-552.

Bagateli JR, Bahry CA, Silva RNO, Carvalho IR, Conte GG, Villela FA, Gadotti GI & Meneghello GE (2020) Estimates of heterosis and combining ability of soybean diallel crossings. Plant Omics Journal, 13:07-14.

Bhering LL (2017) Rbio: A Tool for Biometric and Statistical Analysis Using the R Platform. Crop Breeding and Applied Biotechnology, 17:187-190.

Bhering LL, Peixoto LA & Cruz CD (2017) Seleção de genitores. In: Silva FL, Borém A, Sediyama T & Ludke W (Eds.) Melhoramento da Soja. Viçosa, UFV. p.173-195.

Bisinotto FF, Hamawaki OT, Nogueira APO, Hamawaki RL, Glansenapp JS & Hamawaki CL (2017) Path analysis and traits correlation in soybean. Communications in Plant Sciences, 7:27-33.

Bi Y, Li W, Xiao J, Lin H, Liu M, Liu M, Luan X, Zhang B, Xie X, Guo D & Lai Y (2015) Heterosis and combining ability estimates in isoflavone contente using diferente parental soybean accessions: Wild soybean, a valuable germoplasma for soybean breeding. PLoS ONE, 10:01-13.

Bilyeu K, Ratnaparkhe MB & Kole C (2016) Genetics, genomics, and breeding of soybean. CRC, New York. 388p.

Colombo GA, Carvalho EV, Daronch DJ & Peluzio JM (2018) Capacidade combinatória de genótipos de soja sob condições de cerrado de baixa latitude. Revista de Ciências Agrárias, 61:01-09.

Cruz CD, Ferreira FM & Pessoni LA (2020) Biometria aplicada ao estudo da divergência genética. 2a ed. Viçosa, UFV. 626p.

Cruz CD, Regazzi AJ & Carneiro PCS (2012) Modelos biométricos aplicados ao melhoramento genético. 4a ed. Viçosa, UFV. 514p.

Cruz CD (2016) Genes Software – extended and integrated with the R, Matlab and Selegen. Acta Scientiarum Agronomy, 38:547-552.

Daronch DJ, Peluzio JM, Afférri FS & Nascimento MO (2014) Capacidade combinatória de cultivares de soja em F2, sob condições de Cerrado Tocantinense. Bioscience Journal, 30:688-695.

Fehr WR & Caviness CE (1977) Stages of soybean development. Ames, Iowa State University of Science and Technology. 11p.

Geraldi IO & Miranda-Filho JB (1988) Adapted models for the analysis of combining ability of varieties in partial diallel crosses. Brazilian Journal of Genetics, 11:419-430.

Goksoy AT, Sıncık M, Erdogmus M, Ergın M, Aytac S, Gumuscu G, Gunduz O, Keles R, Bayram G & Senyıgıt E (2019) The parametric and non-parametric stability analyses for interpreting genotype by environment interaction of some soybean genotypes. Turkish Journal of Field Crops, 24:28-38.

Griffing B (1956) Concept of general and specific combining ability in relation to diallel-crossing systems. Australian Journal of Biological Sciences, 9:463-493.

Junior JAF, Trevisoli SHU, Espindola SMCG, Vianna VF & Di Mauro AO (2015) Diversidade genética em linhagens avançadas de soja oriundas de cruzamentos biparentais, quádruplos e óctuplos. Revista Ciência Agronômica, 46:339-351.

Mahbud MM, Rahman MM, Hossain MS, Mahmud F & Kabir MMM (2015) Genetic variability, correlation and path analysis for yield and yield components in soybean. American-Eurasian Journal of Agricultural & Environmental Sciences, 15:231-236.

Mojena R (1977) Hierarchical grouping method and stopping rules: an evaluation. Computer Journal, 20:359-363.

Oliveira MM, Sousa LB, Reis MC, Silva Junior EG, Cardoso DBO, Hamawaki OT & Nogueira APO (2017) Evaluation of genetic diver-

sity among soybean (Glycine max) genotypes using univariate and multivariate analysis. Genetics and Molecular Research, 16:01-10.

Pimentel AJB, Souza MA, Carneiro PCS, Rocha JRASC, Machado JC & Ribeiro G (2013) Partial diallel analysis in advanced generations for selection of wheat segregating populations. Pesquisa Agropecuária Brasileira, 48:1555-1561.

Ramalho MAP, Abreu AFB, Santos JB & Nunes JAR (2012) Aplicações da genética quantitativa no melhoramento de plantas autógamas. Lavras, UFLA. 522p.

Rocha GAF, Pereira FAC & Vello NA (2018) Potential of soybean crosses in early inbreeding generations for grain yield. Crop Breeding and Applied Biotechnology, 18:267-275.

Rocha MR, Hamawaki OT, Nogueira APO, Junior CSM, Hamawaki CDL & Hamawaki RL (2019) Combinatorial analysis of agronomic characters in soybean. Ciência e Agrotecnologia, 43:01-07.

Rodrigues B, Gomes APR, Gomes JD, Serafim F, Nogueira APO, Hamawaki CDL, Hamawaki RL & Hamawaki OT (2017) Dissimilarity measures and hierarchical methods for the study of genetic diversity on soybean. Bioscience Journal, 33:1544-1555.

Sousa LB, Hamawaki OT, Batista RO, Bertan I, Nogueira APO, Romanato FN & Hamawaki RL (2015) Genetic variability among soybean biparental crosses evaluated by multivariate analysis. Bioscience Journal, 31:1404-1412.

Torres FE, David GV, Teodoro PE, Ribeiro LP, Correa CG & Junior RAL (2015) Desempenho agronómico e dissimilaridade genética entre genótipos de soja. Revista de Ciências Agrárias, 38:111-117.

Umar FA, Mohammed MS, Oyekunle M, Usman IS, Ishaq MN & Dachi SN (2017) Estimates of combining ability for resistance to pod shattering in soybean (Glycine max (L.) Merrill) genotypes. Journal of Plant Breeding and Crop Science, 9:217-223.

Wysmierski PT & Vello NA (2013) The genetic base of Brazilian soybean cultivars: evolution over time and breeding implications. Genetics and Molecular Biology, 36:547-555.

Yokoyama AH, Ribeiro RH, Balbinot Junior AA, Franchini JC, Debiasi H & Zucareli C (2018) Índices de área foliar e SPAD da soja em função de culturas de entressafra e nitrogênio e sua relação com a produtividade. Revista de Ciências Agrárias, 41:953-962.

Zorzetto MM, Motta FC, Morais LK, Kiihl TAM & Silva RM (2008) Análise dialélica da capacidade combinatória em soja. Revista Biociências Unitau, 14:105-109.

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Publicado

2025-06-03

Como Citar

Soares, S. L., Simon, G. A., Alvares, R. C., & de Lima e Silva, F. H. (2025). Combining performance and estimated genetic diversity among soybean parents and F1 populations. Revista Ceres, 70(2), 81–90. Recuperado de https://ojs.ceres.ufv.br/ceres/article/view/8097

Edição

Seção

PLANT BREEDING APPLIED TO AGRICULTURE

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