Adaptability and stability of erect cowpea genotypes via REML/BLUP and GGE Biplot

Santos, Adriano dos; Ceccon, G.; Teodoro, Paulo Eduardo; Correa, Agenor Martinho; Alvarez, Rita de Cássia Félix; Silva, Juslei Figueiredo da; Alves, Valdecir Batista

doi:10.1590/1678-4499.280

Cited by 37 publications

(24 citation statements)

References 12 publications

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“…Also, the interaction effect shows that the genotypes responded differently in the test environments which can facilitate identification of cowpea lines with specific or broad adaptation. Specific and broad adaptation have been identified and exploited in the Brazilian cowpea breeding programs based on genotype × location interaction analysis [21]. The interaction effect suggests that the test environments influence genotypic performance, which may confound genotype selection efforts by reducing the correlation between genotype and phenotypic expression [22].…”

Section: Genetic Diversity and Population Structurementioning

confidence: 99%

Assessing the genetic diversity of cowpea [Vigna unguiculata (L.) Walp.] germplasm collections using phenotypic traits and SNP markers

Nkhoma

Shimelis

Laing

et al. 2020

Preprint

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Background: Productivity of cowpea [Vigna unguiculata (L.) Walp] in sub-Sahara Africa is curtailed by a lack of farmer-preferred and improved cultivars and modern production technologies. The objectives of the study were to determine the extent of genetic diversity present among a collection of cowpea accessions from Zambia and Malawi using phenotypic traits and single nucleotide polymorphism (SNP) markers and, to select distinct and complementary parental lines for cultivar development. One hundred cowpea genotypes were evaluated for agronomic traits in two selected sites in Zambia, using a 10×10 alpha lattice design with two replications. Ninety-four of the test genotypes were profiled with 14,116 SNP markers. Results: Number of pods plant-1 (NPP), pod length (PDL), and number of seeds pod-1 (NSP), were significantly (p<0.05) affected by genotype × environment interaction effects. Genotypes such as CP411, CP421, CP645, CP732, Chimponongo, and MS1-8-1-4 exhibited higher grain yield of > 1200 kg/ha with excellent performance in yield components such as NSP, PDL, HSW and GYD. Grain yield had significant (p<0.05) associations with NPP (r=0.50), NSP (r=0.46) and PDL (r=0.42) useful for simultaneous selection for yield improvement in cowpea. The SNP markers revealed gene diversity and polymorphic information content of 0.22 and 0.17, respectively, showing that the tested cowpea accessions were genetically diverse. Test genotypes were classified into four genetic groups irrespective of source of collection allowing selection and subsequent crosses to develop breeding populations for cultivar development. Conclusions: Genotypes Bubebe, CP411, CP421, CP645, Chimponogo and MS1-8-1-4 were identified to be the most genetically divergent and high yielding making them ideal parental lines for breeding. This study provided a baseline information and identified promising cowpea genetic resources for effective breeding and systematic conservation.

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Section: Genetic Diversity and Population Structurementioning

confidence: 99%

Assessing the genetic diversity of cowpea [Vigna unguiculata (L.) Walp.] germplasm collections using phenotypic traits and SNP markers

Nkhoma

Shimelis

Laing

et al. 2020

Preprint

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“…The advantages of the GGE-Biplot analysis is the easy understanding of its biplot graphs, effective contribution to identify mega-environments, selection of representative and discriminative environments and indication of more adapted and stable cultivars to specific environments PIEPHO;ANNICCHIARICO, 2008;ALWALA et al, 2010;SILVA;BENIN, 2012). Moreover, the GGE-Biplot methodology has been effective to explain G×E in cowpea (AKANDE, 2007;SANTOS et al, 2016), sugarcane (MATTOS et al, 2013), wheat (MEHARI et al, 2015KAYA;AKÇURA, 2006) and maize (PAGLIOSA et al, 2015;HONGYU et al, 2015). However, few studies evaluated G×E and determination of megaenvironments using the GGE-Biplot methodology on cowpea genotypes in regions of the Brazilian Cerrado.…”

Section: Introductionmentioning

confidence: 99%

Genotype by Environment Interaction in Cowpea Lines Using Gge Biplot Method

et al. 2018

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The GGE Biplot method is efficien to identify favorable genotypes and ideal environments for evaluation. Therefore, the objective of this work was to evaluate the genotype by environment interaction (G×E) and select elite lines of cowpea from genotypes, which are part of the cultivation and use value tests of the Embrapa Meio-Norte Breeding Program, for regions of the Brazilian Cerrado, by the GGE-Biplot method. The grain yield of 40 cowpea genotypes, 30 lines and 10 cultivars, was evaluated during three years (2010, 2011 and 2012) in three locations: Balsas (BAL), São Raimundo das Mangabeiras (SRM) and Primavera do Leste (PRL). The data were subjected to analysis of variance, and adjusted means were obtained to perform the GGE-Biplot analysis. The graphic results showed variation in the performance of the genotypes in the locations evaluated over the years. The performance of the lines MNC02-675F-4-9 and MNC02-675F-4-10 were considered ideal, with maximum yield and good stability in the locations evaluated. There mega-environments were formed, encompassing environments correlated positively. The lines MNC02-675F-4-9, MNC02-675F-9-3 and MNC02-701F-2 had the best performance within each mega-environment. The environment PRL10 and lines near this environment, such as MNC02-677F-2, MNC02-677F-5 and the control cultivar (BRS-Marataoã) could be classified as those of greater reliability, determined basically by the genotypic effects, with reduced G×E. Most of the environments evaluated were ideal for evaluation of G×E, since the genotypes were well discriminated on them. Therefore, the selection of genotypes with adaptability and superior performance for specific environments through the GGE-Biplot analysis was possible.

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“…Lastly, it generates results within the range of the trait measured, which can be directly interpreted as breeding values (Verardi et al, 2009;Freitas et al, 2013). The HMRPGV method has been used in perennial and semi-perennial crops, such as coffee (Pereira et al, 2013;Rodrigues et al, 2013;Carias et al, 2014), eucalyptus (Rosado et al, 2012), cashew (Maia et al, 2009), and passion fruit (Santos et al, 2015a). Its use in annual crops is still in its early stages, although an increasing number of studies have proved its effectiveness in crops such as cowpea (Torres et al, 2015) and rice (Regitano Neto et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed models

Fe¹,

Teodoro

Rodrigues

et al. 2016

Genet. Mol. Res.

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ABSTRACT. The aim of this study was to select erect cowpea (Vigna unguiculata L.) genotypes simultaneously for high adaptability, stability, and yield grain in Mato Grosso do Sul, Brazil using mixed models. We conducted six trials of different cowpea genotypes in 2005 and 2006 in Aquidauana, Chapadão do Sul, Dourados, and Primavera do Leste. The experimental design was randomized complete blocks with four replications and 20 genotypes. Genetic parameters were estimated by restricted maximum likelihood/best linear unbiased prediction, and selection was based on the harmonic mean of the relative performance of genetic values method using three strategies: selection based on the predicted breeding value, having considered the performance mean of the genotypes in all environments (no interaction effect); the performance in each environment (with an interaction effect); and the simultaneous selection for grain yield, stability, and adaptability. The MNC99542F-5 and MNC99-537F-4 genotypes could be grown in various environments, as they exhibited high grain yield, adaptability, and stability. The average heritability of the genotypes was moderate to high and the selective accuracy was 82%, indicating an excellent potential for selection.

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Adaptability and stability of erect cowpea genotypes via REML/BLUP and GGE Biplot

Abstract: ABSTRACT:The objective of this study was to investigate the association between the GGE Biplot and REML/BLUP methods and select cowpea genotypes that meet simultaneously high grain yield,

Cited by 37 publications

References 12 publications

Assessing the genetic diversity of cowpea [Vigna unguiculata (L.) Walp.] germplasm collections using phenotypic traits and SNP markers

Assessing the genetic diversity of cowpea [Vigna unguiculata (L.) Walp.] germplasm collections using phenotypic traits and SNP markers

Genotype by Environment Interaction in Cowpea Lines Using Gge Biplot Method

Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed models

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