Genotype by environment interaction in common bean cultivars for iron and zinc concentration in grains
DOI:
https://doi.org/10.5433/1679-0359.2022v43n4p1787Keywords:
Phaseolus vulgaris L., Adaptability, Correlation, Stability, Biofortification.Abstract
Iron and zinc deficiencies in humans can cause serious health problems. Increasing the iron (IC) and zinc (ZC) concentrations in common bean (Phaseolus vulgaris L.) grains using genetic breeding can be an effective strategy to prevent these problems. Thus, the aims of this study were i) to investigate the importance of genetic, environmental, and genotype-by-environment interaction effects on IC and ZC in common bean grains; ii) to select cultivars that have high mean values and phenotypic stability for IC and ZC, as well as high protein concentration (PC), high yield, and standard commercial grain quality; and iii) to investigate whether there is a genetic relationship between these traits. A total of 34 cultivars were evaluated in 19 different environments. Genetic variability was observed among the genotypes for all traits. For IC and ZC, the environmental effect represented most of the total variation (63% and 65%, respectively), and the effect of the G × E interaction was 18% for IC and 15% for ZC. The genetic correlations between IC, ZC, and PC were positive, indicating that the selection of one of these traits resulted in gains for the other. The genetic correlations between IC or ZC with yield or 100-grain weight were low or intermediate, but negative, indicating that it is important to evaluate these traits at all stages of breeding programs that focus on developing cultivars with high IC and ZC. The cultivar BRS Sublime, with the carioca grain type, combined high IC, ZC, and PC, high yield, and grains of commercial size.References
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Pereira, H. S., Del Peloso, M. J., Bassinello, P. Z., Guimarães, C. M., Melo, L. C., & Faria, L. C. (2014). Genetic variability for iron and zinc content in common bean lines and interaction with water availability. Genetics and Molecular Research, 3(13), 6773-6785. doi: 10.4238/2014.August.28.21
Philipo, M., Ndakidemi, P. A., & Mbega, E. R. (2020). Environmental and genotypes influence on seed iron and zinc levels of landraces and improved varieties of common bean (Phaseolus vulgaris L.) in Tanzania. Ecological Genetics and Genomics, 15, 1-10. doi: 10.1016/j.egg.2020.100056
Resende, M. D. V., & Duarte, J. B. (2007). Precisão e controle de qualidade em experimentos de avaliação de cultivares. Pesquisa Agropecuária Tropical, 37(3), 182-194.
Ribeiro, N. D., Jost, E., Maziero, S. M., Storck, L., & Rosa, D. P. (2014). Selection of common bean lines with high grain yield and high grain calcium and iron concentrations. Revista Ceres, 61(1), 77-83. doi: 10.1590/ S0034-737X2014000100010
Ribeiro, N. D., Mambrin, R. B., Storck, L., Prigol, M., & Nogueira, C. W. (2013). Combined selection for grain yield, cooking quality and minerals in the common bean. Revista Ciência Agronômica, 44(4), 869-877. doi: 10.1590/S1806-66902013000400025
Statistical Analysis System Institute (2008). SAS technical report SAS/STAT software. SAS Institute.
Scott, A. J., & Knott, M. (1974). A cluster analysis method for grouping means in the analysis of variance. Biometrics, 30(3), 507-512. doi: 10.2307/2529204
Silva, C. A., Abreu, A. F. B., Ramalho, M. A. P., & Corrêa, A. D. (2012). Interaction genotype by season and its influence on the identification of beans with high content of zinc and iron. Bragantia, 71(3), 336-341. doi: 10.1590/S0006-87052012005000037
Zimmermann, F. J. P. (2014). Estatística aplicada à pesquisa agrícola. EMBRAPA Arroz e Feijão.
Association of Official Analytical Chemist (2005). Official methods of analysis (18nd ed.). AOAC International.
Beebe, S., Gonzalez, A. V., & Rengifo, J. (2000). Research on trace minerals in the common bean. Food and Nutrition Bulletin, 21(5), 387-391. doi: 10.1177/156482650002100408
Blair, M. W., Astudillo, C., Grusak, M. A., Graham, R., & Beebe, S. (2009). Inheritance of seed iron and zinc concentrations in common bean (Phaseolus vulgaris L.). Molecular Breeding, 23(11), 197-207. doi: 10. 1007/s11032-008-9225-z
Buratto, J. S., Moda Cirino, V., Scholz, M. B. S., Langame, D. E. M., Fonseca, N. S., Jr., & Préte, C. E. C. (2009). Variabilidade genética e efeito de ambiente para teor de proteína em grãos de feijão. Acta Scientiarum, 31(4), 593-597. doi: 10.4025/actasciagron.v31i4.910
Caproni, L., Raggi, L., Talsma, E. F., Wenzl, P., & Negri, V. (2020). European landrace diversity for common bean biofortification: a genome-wide association study. Nature, 10(19775), 1-13. doi: 10.1038/s41598-020-76417-3
Cochran, W. G. (1954). The combination of estimates from different experiments. Biometrics, 10(1), 101-129. doi: 10.2307/3001666
Cruz, C. D. (2013). GENES- a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum, 35(3), 271-276. doi: 10.4025/actasciagron.v35i3.21251
Cruz, C. D., Regazzi, A. J., & Carneiro, P. C. S. (2012). Modelos biométricos aplicados ao melhoramento genético (4a ed.). UFV.
Feijão (2019). Dados conjunturais do feijão no Brasil de 1985 a 2019. http://www.cnpaf.embrapa.br/ socioeconomia/index.htm
Guzmán-Maldonado, S. H., Martínez, O., Acosta-Gallego, A., Guevera-Lara, F., & Paredes-López, O. (2003). Putative quantitative trait loci for physical and chemical components of common bean. Crop Science, 43(3), 1029-1035. doi: 10.2135/cropsci2003.1029
Instituto Adolfo Lutz (2008). Métodos físico-químicos para análise de alimentos. Instituto Adolfo Lutz.
Martins, S. M., Melo, P. G. S., Faria, L. C., Souza, T. L. P. O., Melo, L. C., & Pereira, H. S. (2016). Genetic parameters and breeding strategies for high levels of iron and zinc in Phaseolus vulgaris L. Genetics and Molecular Research, 2(15), 1-14. doi: 10.4238/gmr.15028011
Mukamuhirwa, F., & Rurangwa, E. (2018). Evaluation for high iron and zinc content among selected climbing bean genotypes in Rwanda. Advances in Crop Science and Technology, 2(6), 1-6. doi: 10.4172/2329-88 63.1000344
Mukamuhirwa, F., Tusiime, G., & Mukankusi, M. C. (2015). Inheritance of high iron and zinc concentration in selected bean varieties. Euphytica, 205(2), 349-360. doi: 10.1007/s10681-015-1385-4
Nchimbi-Msolla, S., & Tryphone, G. M. (2010). The effects the environment on iron and zinc concentrations and performance of common beans (Phaseolus vulgaris L.) genotypes. Asian Journal of Plant Sciences, 9(8), 455-462. doi: 10.3923/ajps.2010.455.462
Nunes, J. A. R., Ramalho, M. A. P., & Abreu, A. F. B. (2005). Graphical method in studies of adaptability and stability of cultivars. Annual Report of the Bean Improvement Cooperative, 48, 182-183.
Pereira, H. S., Almeida, V. M., Melo, L. C., Wendland, A., Faria, L. C., Del Peloso, M. J., & Magaldi, M. C. S. (2012). Influência do ambiente em cultivares de feijoeiro-comum em cerrado com baixa altitude. Bragantia, 71(2), 165-172. doi: 10.1590/S0006-87052012005000024
Pereira, H. S., Alvares, R. C., Silva, F. C., Faria, L. C., & Melo, L. C. (2017). Genetic, environmental and genotype x environment interaction effects on the common bean grain yield and commercial quality. Semina: Ciências Agrárias, 38(3), 1241-1250. doi: 10.5433/1679-0359.2017v38n3p1241
Pereira, H. S., Del Peloso, M. J., Bassinello, P. Z., Guimarães, C. M., Melo, L. C., & Faria, L. C. (2014). Genetic variability for iron and zinc content in common bean lines and interaction with water availability. Genetics and Molecular Research, 3(13), 6773-6785. doi: 10.4238/2014.August.28.21
Philipo, M., Ndakidemi, P. A., & Mbega, E. R. (2020). Environmental and genotypes influence on seed iron and zinc levels of landraces and improved varieties of common bean (Phaseolus vulgaris L.) in Tanzania. Ecological Genetics and Genomics, 15, 1-10. doi: 10.1016/j.egg.2020.100056
Resende, M. D. V., & Duarte, J. B. (2007). Precisão e controle de qualidade em experimentos de avaliação de cultivares. Pesquisa Agropecuária Tropical, 37(3), 182-194.
Ribeiro, N. D., Jost, E., Maziero, S. M., Storck, L., & Rosa, D. P. (2014). Selection of common bean lines with high grain yield and high grain calcium and iron concentrations. Revista Ceres, 61(1), 77-83. doi: 10.1590/ S0034-737X2014000100010
Ribeiro, N. D., Mambrin, R. B., Storck, L., Prigol, M., & Nogueira, C. W. (2013). Combined selection for grain yield, cooking quality and minerals in the common bean. Revista Ciência Agronômica, 44(4), 869-877. doi: 10.1590/S1806-66902013000400025
Statistical Analysis System Institute (2008). SAS technical report SAS/STAT software. SAS Institute.
Scott, A. J., & Knott, M. (1974). A cluster analysis method for grouping means in the analysis of variance. Biometrics, 30(3), 507-512. doi: 10.2307/2529204
Silva, C. A., Abreu, A. F. B., Ramalho, M. A. P., & Corrêa, A. D. (2012). Interaction genotype by season and its influence on the identification of beans with high content of zinc and iron. Bragantia, 71(3), 336-341. doi: 10.1590/S0006-87052012005000037
Zimmermann, F. J. P. (2014). Estatística aplicada à pesquisa agrícola. EMBRAPA Arroz e Feijão.
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2022-05-30
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Carloni, P. R., Melo, P. G. S., Melo, L. C., Faria, L. C. de, Souza, T. L. P. O. de, Almeida, V. M. de, … Pereira, H. S. (2022). Genotype by environment interaction in common bean cultivars for iron and zinc concentration in grains. Semina: Ciências Agrárias, 43(4), 1787–1804. https://doi.org/10.5433/1679-0359.2022v43n4p1787
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