Genetic variability in cowpea (<i>Vigna unguiculata</i>(L.) Walp.) genotypes

Gerrano, Abe Shegro; Adebola, Patrick; Rensburg, W.S. Jansen van; Laurie, S. M.

doi:10.1080/02571862.2015.1014435

Cited by 62 publications

(81 citation statements)

References 17 publications

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“…Height to first pod, fresh pod pigmentation and fresh pod color were related to PC2 (17.32%). Similar proportions of phenotypic diversity explained by the first two axes have been reported previously for various cowpea traits by Ahamed et al 37 and Gerrano et al, 38 and for fresh pod traits of Turkish common bean genotypes. 39 PCA classified all cv.…”

Section: Classification Of Landraces Based On Fresh Pod Traitssupporting

confidence: 88%

“…Days to pod bearing, as well as days to harvest from sowing, were also negatively correlated with all the other fresh pod traits studied. Given the different requirements among landraces for photoperiod and temperature, the selection of cowpea genotypes regarding their photosensitivity and appropriate sowing time based on the different agro‐climatic conditions of each region could contribute to increase fresh pod yield. Quantitative trait loci clusters for pod traits, such as length and width, have been found in cowpea and other legumes, indicating additive and epistatic effects among these important agronomic traits.…”

Section: Resultsmentioning

confidence: 99%

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Phenotypic diversity and evaluation of fresh pods of cowpea landraces from Southern Europe

et al. 2017

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Section: Classification Of Landraces Based On Fresh Pod Traitssupporting

confidence: 88%

Section: Resultsmentioning

confidence: 99%

Phenotypic diversity and evaluation of fresh pods of cowpea landraces from Southern Europe

et al. 2017

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“…The principal components analysis is important for the breeder because it allows identifying characteristics that contribute with significant genetic variability among genotypes and selecting agronomically desirable parents for hybridizations (Gerrano et al, 2015) .The results obtained from the analysis revealed that the four first components explain 80.66% of the total variability and have eigenvalues higher than 1.0 (Table 3), very similar to those reported by Gerrano et al (2015) and Adewale et al (2011). The first principal component retains 33.66% of the total variability, due to the width and length of the seed and weight of 100 seeds, characters that contrast in greater degree with the number of pods per plant, length of the peduncle, days to first mature pod and days to harvest, that is to say, when increasing the first three, the four second ones decrease and, vice versa, a performance similar to that reported by Jonah et al (2014) in Vigna subterranea.…”

Section: Principal Component Analysis (Pca)supporting

confidence: 77%

Estimation of genetic parameters in white seed cowpea (Vigna unguiculata (L) Walp)

Araméndiz-Tatis¹,

Ayala²,

Camacho³

et al. 2018

Aust J Crop Sci

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The objective of this research was to estimate genetic parameters of characteristics associated with yield in 42 genotypes of white colored cowpea. The experimental design was Federer's augmented blocks, with five replications. Ten quantitative characters were recorded. Analysis of variance detected significant and highly significant differences between genotypes, in nine of the ten characters. The coefficients of phenotypic variation were greater than those of genotypic variation, due to the influence of the environment. High broad-sense heritability was revealed for peduncle length, 97.05%, number of pods per plant, 95.48% and weight of 100 seeds, 98.51%; the expected genetic progress varied between 0.07 (seed width) and 17.04 (seed yield per plant), while the genetic advance as a percentage of the average ranged from 2.80 (days to harvest) to 87.07 (seed yield per plant). The first four principal components explained 80.66% of the total variability; the length and width of the seed, and the weight of 100 seeds contributed to PC1; and the number of days, both for maturity of the first pod and for harvest, and the length of the pod, contributed to a greater degree to PC2. It was concluded that the number of pods per plant, the weight of 100 seeds and the yield of seed per plant are selection criter ia for future breeding programs

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“…The analysis of variance revealed significant differences among the genotypes for the ten quantitative characters indicating the presence of adequate variability, which can be exploited through selection. Different reports indicated there is substantial phenotypic variability among cowpea varieties for different characters (Animasaun et al, 2015;Cobbinah et al, 2011;Gerrano et al, 2015;Lazaridi et al, 2017;Menssen et al, 2017;Molosiwa et al, 2016).…”

Section: Analysis Of Variancementioning

confidence: 99%

Genetic diversity for immature pod traits in Ethiopian cowpea [Vigna unguiculata (L.) Walp.] landrace collections

Ashinie¹,

Tesfaye²,

Wakeyo³

et al. 2020

Afr. J. Biotechnol.

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This study was undertaken to evaluate the extent and pattern of genetic diversity for immature pod traits in Ethiopia cowpea landrace collections. Eighty one landraces and improved cultivars were tested in a 9 x 9 simple lattice design. Analysis of variance revealed highly significant (P<0.01) or significant (p<0.05) differences among the genotypes for all traits. The first four principal components were able to explain 81% of variation for quantitative traits and 76% for qualitative traits. The genotypes were grouped into three distinct clusters, the first, second and third clusters with 60, 15 and 25% of the genotypes in that order. The landraces were distributed all over the clusters while the improved cultivars were absent in the second cluster. Shannon-Weaver diversity indices also showed existence of adequate genetic variability among the genotypes for qualitative traits. Shannon-Weaver diversity indices ranged from the lowest of 0.50 for pod curvature to the highest of 0.99 for pod shape. The study clearly showed that, even if the genotypes were classified into a few cluster, there was adequate divergence among the clusters showing existence of considerable genetic variability for immature pod traits for exploitation in future breeding for better green pod yield and quality in cowpea.

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Genetic variability in cowpea (Vigna unguiculata(L.) Walp.) genotypes

Cited by 62 publications

References 17 publications

Phenotypic diversity and evaluation of fresh pods of cowpea landraces from Southern Europe

Phenotypic diversity and evaluation of fresh pods of cowpea landraces from Southern Europe

Estimation of genetic parameters in white seed cowpea (Vigna unguiculata (L) Walp)

Genetic diversity for immature pod traits in Ethiopian cowpea [Vigna unguiculata (L.) Walp.] landrace collections

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