Importance and correlations of characters for cowpea diversity in traditional varieties

Mendonça, Márcia Silva de; Beber, P. M.; Nascimento, F. S. S. do; Santos, Vanderley Borges dos; Marinho, J. T. de S.

doi:10.5935/1806-6690.20180030

Cited by 10 publications

(8 citation statements)

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“…These two genotypes responded positively to the extent that the environment was favorable. Similar results were reported by Ligarreto M., Castro H. and Cháves C. (2015) for common beans, which could be associated with the influence of yield components such as the number of pods per plant, number of seeds per pod and weight of 100 seeds (MEENA; RAM-KRISHNA; SINGH, 2015;MENDONÇA et al, 2018). On the other hand, genotypes 4 and 5 had a yield below the general mean (Figure 1) and are also affected by different environments.…”

Section: Resultssupporting

confidence: 84%

Stability and phenotypic adaptability by AMMI analysis in cowpea beans (Vigna unguiculata (L.) Walp.)

Araméndiz-Tatis¹,

Cardona–Ayala²,

Camacho³

2021

Revista Ciência Agronômica

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Section: Resultssupporting

confidence: 84%

Stability and phenotypic adaptability by AMMI analysis in cowpea beans (Vigna unguiculata (L.) Walp.)

Araméndiz-Tatis¹,

Cardona–Ayala²,

Camacho³

2021

Revista Ciência Agronômica

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“…The characteristics with a high and moderate PCV and GCV included NPP, NNMS, W100S, YIELD, FeC and ZnC (Tab. 3), similar to that obtained by Gerrano et al (2015) and Mofokeng et al (2020), suggesting they can be significantly improved through selection, as argued by Mendonça et al (2018).…”

Section: Genetic Parameterssupporting

confidence: 81%

“…The plants distribute photoassimilates to the organs in formation, in proportion to demand, which depends on the number of organs in development. Similar results were found by Mendonça et al (2018). The lack of significance of the correlation between NPP and YIELD could have been overshadowed by phenotypic plasticity in the face of environmental effects on polygenic characteristics (Ferrari et al, 2018).…”

Section: Correlationssupporting

confidence: 72%

Heritability, genetic gain, and correlations in cowpea bean (Vigna unguiculata [L.] (Walp.)

Araméndiz-Tatis

Ayala

Camacho

2021

Rev. Colomb. Cienc. Hortic.

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Cowpea beans are the most important legume in the Caribbean region of Colombia. This grain is produced mainly by small farmers in rural agriculture but is becoming more important every year for commercial agriculture. The objective of this study was to estimate heritability, genetic gain and correlations between agronomic characteristics and the nutritional content of 30 cowpea bean cultivars. The number of days to flowering (NDF), number of pods per plant (NPP), number of pods per peduncle (NPPE), peduncle length (PEL), number of nodes on main stem (NNMS), grain length (GL), grain width (GW), weight of 100 seeds (W100S), iron content (FeC), zinc content (ZnC), protein content in percentage (PROT) and YIELD were evaluated. Likewise, the genetic parameters: phenotypic coefficient of variation (PCV), genotypic coefficient of variation (GCV), variability index (b), heritability [(h2 (%)], genetic gain (GG) and genetic progress (%), together with phenotypic correlations and genetic correlations, were determined. Genetic variability was evidenced in the population (P<0.05), except for PEL. The highest heritability was in W100S, ZnC and FeC (h2A> 96%). The greatest advance was achieved in ZnC, FeC, W100S and YIELD, with values higher than 30%, indicating the potential use of the evaluated genotypes for improving this species and positive and significant phenotypic and genotypic correlations between YIELD and PROT. Therefore, cultivars with higher yields and protein contents can be obtained.

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“…Being aware of the correlations between the variables makes it easier the decision-making for the breeding programs, which aim at selecting the genotypes of interest [13]. Considering that, the correlation among the yield traits can be verified in Fig.…”

Section: Resultsmentioning

confidence: 97%

GYT Biplot Analysis: A New Approach for Cowpea Line Selection

Oliveira

Gravina

Rocha

et al. 2019

JEAI

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Cowpea beans is grown under different edaphoclimatic conditions throughout Brazilian regions causing them to perform differently due to the influence that environments have on genotypes. Thus, it is necessary to obtain lines adapted to the specific cultivation environments so that it can present high yield. The objective of this work was to select cowpea lines through the GYT biplot multivariate analysis. The experiment was carried out in Bom Jesus de Itabapoana, Rio de Janeiro State, Brazil, in the 2016 and 2017 harvests. The randomized block design was performed with four replications and four lines per plot. Variance analyzes and biplot plots were applied for the number of days of flowering, final planting, harvest value, housing, pod yield, length, average number of beans per pod, average grain weight per pod and grain weight. The analysis of variance showed that there is genetic variability among the strains, requiring a detailed study to select those with the best agronomic performance. The first two major components of the biplot chart explained almost all of the variation between strains. All yield characteristics were negatively correlated with the set of productivity combinations with housing and number of days for flowering. Lines 3, 10, 4, 2, 6, 12, 7 and 11 showed better average performance for yield characteristics.

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Importance and correlations of characters for cowpea diversity in traditional varieties

Cited by 10 publications

References 0 publications

Stability and phenotypic adaptability by AMMI analysis in cowpea beans (Vigna unguiculata (L.) Walp.)

Stability and phenotypic adaptability by AMMI analysis in cowpea beans (Vigna unguiculata (L.) Walp.)

Heritability, genetic gain, and correlations in cowpea bean (Vigna unguiculata [L.] (Walp.)

GYT Biplot Analysis: A New Approach for Cowpea Line Selection

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