Genetic parameters, yield adaptability and stability of common bean obtained through mixed models analyses
-
Published:2022-02-25
Issue:
Volume:8
Page:1-16
-
ISSN:2359-1455
-
Container-title:Agronomy Science and Biotechnology
-
language:en
-
Short-container-title:ASB J.
Author:
Chimenez-Franzon Rodrigo, Gonçalves-Vidigal Maria Celeste, Valentini GiseliORCID, Domingos Moiana Leonel, Soto Rodrigo Ivan Contreras, Sousa Lorenna LopesORCID, Filho Pedro Soares Vidigal
Abstract
The common bean provides a diet rich in vitamins, fiber, minerals and especially in proteins, which can provide food security for poor people in many countries. With the increase in demand for food production, cultivars with high grain yield potential that can be planted in different environments have been the focus of common bean breeding programs. Therefore, this study aimed to evaluate genetic parameters, grain yield, adaptability and stability simultaneously of common bean lines that compose the Value for Cultivation and Use trials of the South region of Brazil. The experiments were conducted in 13 environments in the states of Paraná, Santa Catarina and Rio Grande do Sul. The analysis of adaptability and stability were performed The common bean provides a diet rich in vitamins, fiber, minerals and especially in proteins, which can provide food security for poor people in many countries. With the increase in demand for food production, cultivars with high grain yield potential that can be planted in different environments have been the focus of common bean breeding programs. Therefore, this study aimed to evaluate genetic parameters, grain yield, adaptability and stability simultaneously of common bean lines that compose the Value for Cultivation and Use trials of the South region of Brazil. The experiments were conducted in 13 environments in the states of Paraná, Santa Catarina and Rio Grande do Sul. The analysis of adaptability and stability were performed using mixed linear models by the Residual Maximum Likelihood and the Best Linear Unbiased Predictor for predicting the genotypic values through Selegen statistical program. The selective accuracy of genotypes for their genotypic values was 87% and the broad-sense heritability for grain yield was 13%. The genotypes CHC 98-42, BRS Esteio, CNFP-10794, CHP 01-238, FT 08-75, IPR Campos Gerais, LP 09-40, CNFC 10762, C 4-7-8-1-2 and LEC 01-11 were superior based on the method of Harmonic Mean of Relative Performance of Genotypic Values. These genotypes presented a higher mean grain yield in comparison to the other evaluated genotypes, and could be recommended for cultivation in these regions. In addition, it was possible to obtain genetic gains of up to 9.5% for the CHC 98-42 line, showing its high genetic potential.
Publisher
Editora Mecenas Ltda
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference45 articles.
1. Annicchiarico, P. (1992) Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. Journal of Plant Breeding, 46, 269-278. 2. Bertoldo, J. G., Coimbra. J. L. M., Guidolin, A. F., Nodari, R. O., Elias, H. T., Barili, L. D. Vale, N, M., & Rozzetto, D. S. (2009) Rendimento de grãos em feijão preto: o componente que mais interfere no valor fenotípico é o ambiente. Ciência Rural, 39, 1974-1982. http://dx.doi.org/10.1590/S0103-84782009005000166 3. Borges, V., Soares, A. A., Reis, M. S., Resende, M. D. V., Cornélio, V. M. O., Leite, N. A., & Vieira, A. R. (2010) Desempenho genotípico de linhagens de arroz de terras altas utilizando metodologia de modelos mistos. Bragantia, 69, 833-842. http://dx.doi.org/10.1590/S0006-87052010000400008 4. Broughton, W. J., Hernandez, G., Blair, M. W., Beebe, S. E., Gepts, P., & Vanderleyden, J. (2003) Bean (Phaseolus sp.) model food legumes. Plant and Soil, 252, 55-128. http://dx.doi.org/10.1023/A:1024146710611 5. Burgueño, J., Crossa, J., Cornelius, P.L., & Yang, R.-C. (2008) Using factor analytic models for joining environments and genotypes without crossover genotype × environment interaction. Crop Science, 48, 1291-1305. http://dx.doi.org/%2010.2135/cropsci2007.11.0632
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|