Genetic parameters and selection indices of cowpea genotypes for green grain production

被引:3
作者
Pessoa, Angela M. dos S. [1 ]
Bertini, Candida H. C. de M. [2 ]
Castro, Erika B. de L. [2 ]
de Freitas, Leslyene M. [2 ]
Araujo, Linda B. R. [2 ]
机构
[1] Univ Fed Rural Semi Arido, Dept Phytotech, Mossoro, RN, Brazil
[2] Univ Fed Ceara, Dept Phytotech, Fortaleza, CE, Brazil
关键词
Plant breeding; Genetic variability; Vigna unguiculata; IMPROVEMENT; TRAITS; POPULATIONS;
D O I
10.1590/1983-21252023v36n208rc
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
-Cowpea is a legume that is grown worldwide and used for different purposes, especially as green grains. However, considering the low availability of cowpea cultivars for green grain production, selecting genotypes that have better traits for this purpose is necessary. In this context, the objective of this study was to estimate genetic parameters and evaluate different selection indices for identifying superior cowpea genotypes and subsidizing cowpea breeding programs focused on green grain production. A field experiment was conducted at the Center of Agricultural Sciences of the Federal University of Ceara (UFC), Ceara, Brazil. The treatments consisted of 42 cowpea genotypes from the Active Germplasm Bank of the UFC. Fourteen traits were used for characterization. The experiment was conducted in an augmented block design with four controls. The data obtained were subjected to analysis of variance, and genetic parameters, correlations, and selection indices were determined. The traits days to flowering (DFL), days to fruiting (DFR), green pod weight (GPW), green pod width (GW), green pod length (GPL), green pod thickness (GPT), number of grains per pod (NGP), and green grain thickness (GGT) showed heritability higher than 70%, indicating that selection in an early generation is favorable. The genetic correlations between the trait pairs DFLxDFR, GPWxGPL, and GWxGGT were higher than the phenotypic and environmental correlations. Genotypes CE-228, CE-688, CE-994, CE-165, CE-796, and BRS-Paraguacu showed simultaneous superiority for the evaluated traits and are the most appropriate for green grain production.
引用
收藏
页码:310 / 319
页数:10
相关论文
共 51 条
[1]  
ALMEIDA M. O., 2014, Bioscience Journal, V30, P1428
[2]   GENETIC DIVERGENCE AMONG COWPEA GENOTYPES BY MORPHOAGRONOMIC TRAITS [J].
Alves De Santana, Sergio Rogerio ;
De Medeiros, Jamile Erica ;
Da Anunciacao Filho, Clodoaldo Jose ;
Da Silva, Jose Wilson ;
Da Costa, Antonio Felix ;
Bastos, Gerson Quirino .
REVISTA CAATINGA, 2019, 32 (03) :841-850
[3]  
[Anonymous], 2018, Revista da Universidade Vale do Rio Verde, DOI [10.5892/ruvrd.v16i2.4380, DOI 10.5892/RUVRD.V16I2.4380]
[4]   Selection indices for agronomic traits in segregating populations of soybean [J].
Bizari, Eduardo Henrique ;
Pedroso Val, Bruno Henrique ;
Pereira, Elise de Matos ;
Di Mauro, Antonio Orlando ;
Uneda-Trevisoli, Sandra Helena .
REVISTA CIENCIA AGRONOMICA, 2017, 48 (01) :110-117
[5]  
Buratto J. S., 2017, Comunicata Scientiae, V8, P24, DOI 10.14295/cs.v8i1.1073
[6]   Multivariate analysis and selection index for identification of cowpea genotypes [J].
Campos de Magalhaes bertini, Candida Herminia ;
de Almeida, Wener Santos ;
Moura da Silva, Ana Paula ;
Lima e Silva, Jose Wendney ;
Teofilo, Elizita Maria .
ACTA SCIENTIARUM-AGRONOMY, 2010, 32 (04) :613-619
[7]  
COMPTON SWA, 1973, CROP SCI, V13, P184
[8]  
CONAB-Companhia Nacional de Abastecimento, 2021, AC SAFR BRAS GRAOS J
[9]  
Correa A. M., 2015, Agro@mbiente On-line, V9, P42
[10]   Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction [J].
Crevelari, Jocarla Ambrosim ;
Pereira, Messias Gonzaga ;
Vidal Azevedo, Flavio Henrique ;
Mendonca Vieira, Ricardo Augusto .
REVISTA CIENCIA AGRONOMICA, 2019, 50 (02) :197-204