Correlations and path analysis of yield components in cowpea

Santos, Adriano dos; Ceccon, G.; Davide, Livia Maria Chamma; Correa, Agenor Martinho; Alves, Valdecir Batista

doi:10.1590/1984-70332014v14n2a15

Cited by 29 publications

(36 citation statements)

References 8 publications

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“…In the first and second experiments, the following variables were estimated, respectively: coefficient of determination (0.91 and 0.96), condition number (96.9 and 67.0), residual effects (0.31 and 0.2), and X'X matrix determinants (1.59 x 10 -3 and 3.49 x 10 -3 ). However, the coefficients of determination of the path analysis were measured, and they were even higher than those reported in some studies (ALMEIDA et al, 2014;SANTOS et al, 2014). The high coefficients of determination indicate that the variation of the main character (green grain yield) was determined in large part by the explanatory variables.…”

Section: Resultsmentioning

confidence: 58%

“…Four of the most productive landraces (Baraúna, Campo Grande, Carnaubais, and Ceará Mirim) had the longest pods (Table 4). Santos et al (2014) found a positive correlation between green grain yield and pod length and large pods may have a larger number of grains and/or heavier grains, resulting in higher grain yield. Pod width and thickness were affected by landraces (L) and experiments (E) and pod thickness was also affected by the L x E interaction (Table 3).…”

Section: Resultsmentioning

confidence: 88%

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Green Bean Yield and Path Analysis in Cowpea Landraces

et al. 2016

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-Cowpea (Vigna unguiculata (L.) Walp.) is widely cultivated in northeast Brazil for production of both green grains and dry grains. Green grains are cowpea grains with a 60 to 70% moisture content that are very appreciated by the local people. The cultivation of cowpea in northeast Brazil is performed mostly using landraces and the low yields achieved in some areas of that region are generally attributed to the cultivation of less productive landraces. The objectives of this research were to identify the best landraces in terms of green bean yield and the characters that hold the most positive direct effects on this yield via path analysis. Twelve landraces of undetermined growth were evaluated in two experiments conducted in Mossoró, Brazil. The first experiment (E1) was sprinkler-irrigated and the second (E2) was conducted under rainfed conditions, but was irrigated whenever necessary. Pod yield and dimensions and green grains were evaluated, in addition to the main grain yield components. A randomized block design with five replications was used. The data presented here identified eight landraces with the highest yields. In addition, cowpea yield was higher in the dry season (E1) than in the rainy season (E2). The number of pods per plant had the largest direct positive effect on green grain yield.Keywords: Vigna unguiculata. Green grain. Landraces. RENDIMENTO DE GRÃOS VERDES E ANÁLISE DE TRILHA EM VARIEDADES TRADICIONAIS DE FEIJÃO-CAUPI

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Section: Resultsmentioning

confidence: 58%

Section: Resultsmentioning

confidence: 88%

Green Bean Yield and Path Analysis in Cowpea Landraces

et al. 2016

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“…Path analysis allows a clearer interpretation about the direct influence of one trait on another and the interference that other traits exert on this association. Thus, it is possible to know in detail the influences of the traits involved in a previously established diagram, and to justify the existence of positive and negative correlations of high and low magnitudes among the studied traits (Santos et al, 2014a). After unfolding the genotypic correlation, we considered the study of the influence of the morphophysiological traits (DF, DM, MSL, and NBP) and the primary production components (GPL, GPM, NGP, and HGM) on the YIE as basic variables (Table 6).…”

Section: Resultsmentioning

confidence: 99%

Genetic parameters and path analysis in cowpea genotypes grown in the Cerrado/Pantanal ecotone

Lopes¹,

Teodoro²,

Silva³

et al. 2017

Genet. Mol. Res.

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ABSTRACT. Estimating genetic parameters in plant breeding allows us to know the population potential for selecting and designing strategies that can maximize the achievement of superior genotypes. The objective of this study was to evaluate the genetic potential of a population of 20 cowpea genotypes by estimating genetic parameters and path analysis among the traits to guide the selection strategies. The trial was conducted in randomized block design with four replications. Its morphophysiological components, components of green grain production and dry grain yield were estimated from genetic use and correlations between the traits. Phenotypic correlations were deployed through path analysis into direct and indirect effects of morphophysiological traits and yield components on dry grain yield. There were significant differences (P < 0.01) between the genotypes 2 K.V. Lopes et al. Genetics and Molecular Research 16 (2): gmr16029559 for most the traits, indicating the presence of genetic variability in the population and the possibility of practicing selection. The population presents the potential for future genetic breeding studies and is highly promising for the selection of traits dry grain yield, the number of grains per pod, and hundred grains mass. A number of grains per green pod is the main determinant trait of dry grain yield that is also influenced by the cultivar cycle and that the selection for the dry grain yield can be made indirectly by selecting the green pod mass and green pod length.

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“…However, path analysis enables a clearer interpretation of the direct influence of one variable on another, and the influence that other variables have on this association. Thus, it is possible to understand in detail the influences of the traits involved in a previously established diagram, and to explain the existence of positive and negative correlations, with either high or low magnitudes, between the traits studied (Santos et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

Proposal of a super trait for the optimum selection of popcorn progenies based on path analysis

et al. 2016

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ABSTRACT.A challenge faced by popcorn breeding programs is the existence of a negative correlation between the two main traits, popping expansion and yield, which hinders simultaneous gains. The objective of this study was to investigate the use of a new variable or super trait, which favors the reliable selection of superior progenies. The super trait 'expanded popcorn volume per hectare' was introduced in the evaluation of 200 full-sib families of the eighth recurrent intrapopulation selection cycle, which were arranged in randomized blocks with three replicates in two environments. Although the inability to obtain simultaneous gains through selection via popping expansion or yield was confirmed, the super trait was positively associated with both yield and popping expansion, allowing simultaneous gains via indirect selection using 'expanded popcorn volume per hectare' as the main trait. This approach is recommended because this super trait can be used in breeding programs to optimize selective gains for the crop.

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Correlations and path analysis of yield components in cowpea

Abstract: -Obtaining correlations and direct and indirect effects of yield components is important

Cited by 29 publications

References 8 publications

Green Bean Yield and Path Analysis in Cowpea Landraces

Green Bean Yield and Path Analysis in Cowpea Landraces

Genetic parameters and path analysis in cowpea genotypes grown in the Cerrado/Pantanal ecotone

Proposal of a super trait for the optimum selection of popcorn progenies based on path analysis

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