Version 1
: Received: 26 March 2018 / Approved: 26 March 2018 / Online: 26 March 2018 (10:35:00 CEST)
How to cite:
Delfini, J.; Moda Cirino, V.; de Fátima Ruas, C.; Mauricio Ruas, P.; dos Santos Neto, J.; Simões Azeredo Gonçalves, L. Estimation of Genetic Parameters and Prediction of Genotypic Values in Common Beans Using Mixed Models. Preprints2018, 2018030215. https://doi.org/10.20944/preprints201803.0215.v1
Delfini, J.; Moda Cirino, V.; de Fátima Ruas, C.; Mauricio Ruas, P.; dos Santos Neto, J.; Simões Azeredo Gonçalves, L. Estimation of Genetic Parameters and Prediction of Genotypic Values in Common Beans Using Mixed Models. Preprints 2018, 2018030215. https://doi.org/10.20944/preprints201803.0215.v1
Delfini, J.; Moda Cirino, V.; de Fátima Ruas, C.; Mauricio Ruas, P.; dos Santos Neto, J.; Simões Azeredo Gonçalves, L. Estimation of Genetic Parameters and Prediction of Genotypic Values in Common Beans Using Mixed Models. Preprints2018, 2018030215. https://doi.org/10.20944/preprints201803.0215.v1
APA Style
Delfini, J., Moda Cirino, V., de Fátima Ruas, C., Mauricio Ruas, P., dos Santos Neto, J., & Simões Azeredo Gonçalves, L. (2018). Estimation of Genetic Parameters and Prediction of Genotypic Values in Common Beans Using Mixed Models. Preprints. https://doi.org/10.20944/preprints201803.0215.v1
Chicago/Turabian Style
Delfini, J., José dos Santos Neto and Leandro Simões Azeredo Gonçalves. 2018 "Estimation of Genetic Parameters and Prediction of Genotypic Values in Common Beans Using Mixed Models" Preprints. https://doi.org/10.20944/preprints201803.0215.v1
Abstract
In the international scenario of agriculture, Brazil stands out as the main producer and consumer of common bean (Phaseolus vulgaris L.) The increase in the productive potential of the crop is mainly due to breeding programs. The objective of this study was to estimate genetic parameters, predict genotypic values with REML/BLUP (Restricted Maximum Likelihood/Best Linear Unbiased Prediction) and, based on these values, study the variability in common bean cultivars with carioca and black grain. Twenty three agromorphological descriptors were evaluated, among them grain yield. Deviance analysis detected significant differences between the cultivars in both groups. Selective accuracy (Ac) was considered high for most of the traits. Broad-sense heritability (hg2 ) ranged from 0.05 to 0.72, but it was low for the trait yield (YLD). In the carioca grain group, the hg2 values for the traits related to plant morphology were higher than in the black group. Nevertheless, the hg2 values in the black group were higher in relation to the pod and seed traits. The correlations for YLD were moderate but different in the two commercial groups studied. In the black group, variables related to the seed morphology were correlated with grain yield, and in the carioca group, traits related to seed quantity. Based on the groupings, variability among the cultivars was observed. Three distinct clusters were formed for the carioca group and four for the black group. Based on the predicted genetic values, genetic variability and the most adapted and stable cultivars were detected among the cultivars in the studied environments.
Biology and Life Sciences, Biochemistry and Molecular Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
