Estimation of genetic parameters and prediction of genotypic values in common beans using mixed models#

Author:

C. de F. Ruas, Paulo M. Ruas, Jessica Delfini, Vania Moda Cirino,,Leandro Simões Azeredo Gonçalves José dos Santos Neto,

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 ( ) ranged from 0.05 to 0.72, but it was low for the trait yield (YLD). In the carioca grain group, the ​​  values for the traits related to plant morphology were higher than in the black group. Nevertheless, the ​​  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.   #This article has been posted in Preprints with a doi 10.20944/preprints201803.0215.v1 (https://www.preprints.org/manuscript/201803.0215/v1) (Creative Commons CC BY 4.0 license) *Corresponding author, Email: leandrosag@uel.br

Publisher

Faculty of Food and Agriculture, United Arab Emirates University

Subject

Agronomy and Crop Science,Animal Science and Zoology,Applied Microbiology and Biotechnology,Food Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3