Assessing the genotypic performance of carioca beans through mixed models

Author:

Souza Yure Pequeno de1,Santos Paulo Ricardo dos1,Nascimento Maxwel Rodrigues1ORCID,Costa Kleyton Danilo da Silva2,Lima Thalyson Vasconcelos3,Oliveira Tâmara Rebecca Albuquerque de1ORCID,Costa Antônio Félix da4,Pereira Helton Santos5,Silva José Wilson da3

Affiliation:

1. Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Brazil

2. Instituto Federal de Educação, Ciência e Tecnologia de Alagoas (IFAL), Brazil

3. Universidade Federal Rural de Pernambuco (UFRPE), Brazil

4. Instituto Agronômico de Pernambuco (IPA), Brazil

5. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Brazil

Abstract

ABSTRACT: Using genotypes adapted to different regions is one of the main ways to increase Brazilian bean yield. The aim of the present study was to assess the genotypic performance of Carioca beans through mixed models. Fourteen Carioca bean genotypes were assessed in four locations in Pernambuco State (Arcoverde, Caruaru, Belém de São Francisco and São João counties) in 2015. The experiments followed a completely randomized block design, with three repetitions. Genetic parameters were estimated according to the REML/BLUP methodology, whereas genotype selection was based on the harmonic mean of relative performance of genetic values method (MHPRVG). The mean genotype heritability had moderate magnitude, high selective accuracy, besides allowing selection of agronomically superior individuals. Genotypes ‘BRS Notável’, CNFC 15480 and ‘IPR 139’ showed good adaptability and grain yield stability. There was agreement among the statistics μ ̂ + g ̂…, stability (MHVG), adaptability (PRVG), and stability and adaptability of genetic values (MHPRVG) in the discrimination of the most productive genotypes, which presented high adaptability and stability. This outcome indicated that these genotypes can be part of the selection criteria regularly used in bean breeding programs.

Publisher

FapUNIFESP (SciELO)

Subject

General Veterinary,Agronomy and Crop Science,Animal Science and Zoology

Reference16 articles.

1. Uso da metodologia REML/BLUP para seleção de genótipos de algodoeiro com maior adaptabilidade e estabilidade produtiva.;CARVALHO L.P.;Bragantia,2016

2. Recomendações de adubação para o Estado de Pernambuco: segunda aproximação;CAVALCANTE F.J.A.,2008

3. Acompanhamento da safra brasileira: grãos, décimo segundo levantamento, setembro 2017,2017

4. Metodologias de análise de adaptabilidade e de estabilidade para a identificação de linhagens de feijão promissoras para o cultivo no Rio Grande do Sul.;DOMINGUES L.S.;Semina: Ciências Agrárias,2013

5. Seleção simultânea para produção, adaptabilidade e estabilidade genotípicas em clones de cajueiro, via modelos misto;MAIA M.C.C.;Pesquisa Agropecuária Tropical,2009

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