Correlation and Path Analysis in Groundnut (Arachis hypogaea L.)

John, K. Joseph; Santhoshi, M. V. Madhavi; Rajasekhar, P.

doi:10.20546/ijcmas.2019.812.182

Cited by 4 publications

(5 citation statements)

References 2 publications

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“…In the present study, high heritability was noticed for the character total biomass per plant followed by 100 kernel weight and the number of branches per plant (Table 1). Similar results were reported by Rao et al (2015), Patil et al (2006), Sudhir Kumar et al (2008) and John et al (2019) for yield and its component characters in groundnut. High heritability with high genetic advance was observed for total number of branches, total biomass and 100 kernel weight, indicating selection may be effective for the improvement of these traits.…”

Section: Resultssupporting

confidence: 89%

“…Among the traits identified for increasing kernel yield per plant, when the inter correlation was considered, pod yield per plant had highly significant positive association with number of mature pods per plant and total number of pods per plant. This was already reported by John et al (2019) for pod yield per plant and number of mature pods per plant and Surbhi Jain et al (2016) for total number of pods per plant. Similarly, the number of mature pods per plant expressed highly significant and positive correlation with total number of pods per plant, which was earlier confirmed by Mahalakshmi et al (2005).…”

Section: Resultssupporting

confidence: 77%

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Assessment of genetic variability, character association and path analysis of kernel yield and yield components in groundnut (Arachis hypogaea L.)

2022

EJPB

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The present study was carried out in the Department of Oilseeds, during rabi, 2021 at Tamil Nadu Agricultural University, Coimbatore to study the genetic variability, correlation and path analysis using thirty promising genotypes of groundnut. Kernel yield and its component characters were recorded. The magnitude of PCV and GCV values were higher for the characters viz., number of branches, total biomass, 100 kernel weight, leaf area ratio and leaf area index. Total number of branches, total biomass and 100 kernel weight exhibited high heritability and high genetic advance as per cent of mean. Kernel yield showed significant positive association with pod yield, mature pods, number of pods and shelling percentage. The importance of these characters was also confirmed through path analysis, as they had direct implications on kernel yield. As a result, selection based on these traits will result in increased kernel yield in groundnut.

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Section: Resultssupporting

confidence: 89%

Section: Resultssupporting

confidence: 77%

Assessment of genetic variability, character association and path analysis of kernel yield and yield components in groundnut (Arachis hypogaea L.)

2022

EJPB

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“…The correlation between plant height and pod yield was positive and significant mainly due to positive indirect effect contribution through hundred kernel weight (0.513), shelling percent (0.713), protein content (0.096), seed micronutrient content i.e., Zinc content (0.078). The positive direct effect of plant height on pod yield had been reported by Jain et al (2016), Raut et al (2010) and John et al (2019). Principal Component Analysis and Path Coefficient Analysis for Groundnut Yield and Seed Quality Attributes (Arachis hypogaea L.)…”

Section: Path Coefficient Analysismentioning

confidence: 97%

Principal Component Analysis and Path Coefficient Analysis for Groundnut Yield and Seed Quality Attributes (Arachis hypogaea L.)

Sukrutha¹,

Reddy²,

Madhuri³

et al. 2023

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Background: A complex quantitative characteristic yield is heavily impacted by the environment. The productivity of groundnut can be increased less effectively through direct selection for grain yield. The current study aimed to study the variation among diverse groundnut genotypes. Methods: Phenotypic data was collected on seven quantitative and six qualitative characters for 24 genotypes under study carried out in randomised block design (RBD). GRAPES software has been used for analysis. Result: Analysis of variance revealed significant differences among the genotypes for all the characters indicating the prevalence of ample genetic variability within the genotypes. Significant positive associations were observed for primary branches, secondary branches, 100-pod weight, shelling per cent, protein and zinc content. Path analysis revealed that plant height, primary branches per plant, hundred pod weight, shelling percent, protein content and zinc content are the most important characters which could be used as selection criteria for effective improvement of pod yield. Using GRAPES software, Fourteen Principal components are extracted based on mean values of which the first five PCs showed 73.24% variation with eigen values more than 1. Biplot constructed by Principal component analysis revealed Hundred pod weight and hundred kernel weight as important traits for study.

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“…A number of factors are, therefore, observed to be correlated with pod index in cacao. Understanding the magnitude and direction of the association of the traits that influence yield, as a complex trait, is paramount in selection for improved yield [3] .…”

Section: Introductionmentioning

confidence: 99%

Correlation and Path Coefficient Analyses of Yield in Cacao (Theobroma cacao L.)

et al. 2022

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Cacao (Theobroma cacao L.) is an important commodity tree crop which produces the cocoa bean, a major source of income for most West African countries and many smallholder farmers. Declining yield of cacao is a major limitation to cocoa production in Nigeria. This study aimed at determining the correlations of the phenotypic traits that were related in the yield of the cacao genotypes. Nine cacao hybrids produced from some high-yielding parents in the research farm of Cocoa Research Institute of Nigeria, Ibadan, Nigeria were evaluated from 2012 through 2017 in Owena (7°11’ N, 5°1’ E), Ondo state, Nigeria. Character Correlations and Path Coefficient Analysis were used in the description of the performance of the genotypes. The study concluded that significant genotypic and phenotypic correlations existed among many of the pairs of the fruit and bean characters with one another and with pod index, suggesting a complex contribution of these characters either positively or negatively to growth and yield in cacao, and that fruit and bean traits are determinants of yield in cacao.

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Correlation and Path Analysis in Groundnut (Arachis hypogaea L.)

Cited by 4 publications

References 2 publications

Assessment of genetic variability, character association and path analysis of kernel yield and yield components in groundnut (Arachis hypogaea L.)

Assessment of genetic variability, character association and path analysis of kernel yield and yield components in groundnut (Arachis hypogaea L.)

Principal Component Analysis and Path Coefficient Analysis for Groundnut Yield and Seed Quality Attributes (Arachis hypogaea L.)

Correlation and Path Coefficient Analyses of Yield in Cacao (Theobroma cacao L.)

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