Genetic diversity and correlation studies in chickpea (<i>Cicer arietinum</i> L.) based on morphological traits

Samyuktha, Santhi Madhavan; Geethanjali, S.; Bapu, J.R. Kannan

doi:10.5958/0975-928x.2017.00141.7

Cited by 5 publications

(4 citation statements)

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“…Total grain yield had the highest positive and direct effect on the number of seed per pod (0.607), number of pod per plant (0.524), seed index (0.414), number of secondary branches (0.400), number of primary branches (0.376), height of first pod (0.239) and harvest index (0.138). These results was similar to the finding of Samyuktha et al (2017) and Pandey et al (2013), who estimated the maximum direct positive effect of number of pod per plant and seed index on single plant yield. The direct and indirect effects of all yields contributing components on seed yield are presented in Table 5.…”

Section: Path Analysissupporting

confidence: 91%

“…In the present study, number of seed per pod, number of pod per plant, seed index, number of secondary branches, number of primary branches and height of first pod were found positively and significantly associated with total grain yield. The positive significant association of number of pod per plant, number of seed per pod and seed index with grain yield was reported by Samyuktha et al (2017). He has also been reported that traits viz., days to 50% flowering and days to maturity showed significant positive association with single plant yield.…”

Section: Correlation Coefficient Analysismentioning

confidence: 76%

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Estimation of Genetic Parameters, Selection Indices and Association Analysis of Seed Yield and Its Component Traits in Chickpea (Cicer arietinum L.)

Kumar¹,

Kumar²,

Sharma³

et al. 2021

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Background: Chickpea is a second most important pulse crop grown in 56 countries and India rank first in production which shares 61.4% of the total world chickpea production however, productivity is very low as compared to other countries. Therefore, varietal development with inherent tolerance to biotic and abiotic stress is the prime objective to improve component productivity traits to get better yield in rainfed agro-climatic conditions.Methods: Ninety germplasm accessions of chickpea along with four check viz., JG 14, JG 16, JAKI 9218 and Radhey were evaluated in augmented block design at experimental research farm of Banda University of Agriculture and Technology, Banda, Uttar Pradesh, India. Phenotypic data were subjected to study the genetic parameters and association analysis of yield and its component traits using SPAR 2.0 Package and Windostat Version 9.2.Result: The significant variation was observed for all the traits except number of secondary branches, number of pod per plant, number of seeds per pod among the genotypes. The maximum GCV and PCV was observed for height of first pod (35.28 and 39.29), followed by seed yield per plant (29.77 and 40.32) and number of primary branches (25.63 and 31.44). The high magnitude of heritability with genetic advance was estimated for seed index (96.61%), while the high genetic advance as per cent of mean was recorded for first pod height (65.27%). The positive and significant association of seed yield with number of pods per plant, seed index, number of seeds per pod, number of secondary branches, number of primary branches and height of first pod indicating the importance of these traits in selection criteria. Path analysis identified that number of seeds per pod, number of pods per plants, seed index and number of secondary branches per plant as highly desirable component for direct effect on seed yield per plant. The genotypes ICVT-181106 had highest selection indices for seed yield followed by ICVT-181107, PUSA-1053, JG-218, GNG-1999, ICVT-181102 and HC-5. Therefore, high GCV and PCV, significant positive direct and indirect correlation and high estimate of selection indices for grain yield can be directly and indirectly used for chickpea breeding program.

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Section: Path Analysissupporting

confidence: 91%

Section: Correlation Coefficient Analysismentioning

confidence: 76%

Estimation of Genetic Parameters, Selection Indices and Association Analysis of Seed Yield and Its Component Traits in Chickpea (Cicer arietinum L.)

Kumar¹,

Kumar²,

Sharma³

et al. 2021

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“…The traits such as days to 50 per cent flowering (-0.1054) and plant height (-0.0431) were showed high magnitude of negative direct effects on seed yield/plant. The outcomes are in complement with the findings of Padmavathi et al (2013), Samyuktha et al (2017), Kumar et al (2018). Kumar et al (2019) noted positive direct association of 100 seedweight and negative direct effect of days to 50 percent flowering on seed yield/plant.…”

Section: Path Coefficient Analysissupporting

confidence: 85%

Studies on Genetic Variability, Trait Association, and Path Analysis for Seed Yield and Yield Contributing Traits in Chickpea (Cicer Arietinum L.) Mini Core Germplasm

Ram,

Laxuman,

Kumar. B.

et al. 2023

PLANT ARCHIVES

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Two hundred and eighty chickpea mini core germplasm including two checks (JG-11 and SA-1) were sown on 6 th October, 2021 in Augmented Block Design (ABD) with one replication to evaluate variability parameters. Burton and De Vane provided the equation for the phenotypic and genotypic co-efficient of variability (PCV & GCV) (1953). Whereas, the equations for Broad sense heritability (h 2 ) by Hanson (1956), genetic advance by Johnson (1955), correlation co-efficient equated by Singh and Chaudhary (1977), Path coefficients scale suggested by Lenka and Mishra, (1973). The software package INDOSTAT version 8.5 was used to analyse the statistical data. For every character under study, all genotypes showed high levels of variability. The characters with the peak values of phenotypic co-efficient of variation, and genotypic co-efficient of variation were seed yield/plant (44.56% and 37.18%) and 100 seed-weight (40.63% and 38.63%), indicating higher potential for selection to enhance these characters. For the characters viz., number of days to 50 percent flowering (86.59% and 23.12%), plant height (65.04% and 22.41%), 100 seed-weight (91.11% and 76.30%), and seed yield/plant (69.61% and 63.90%), high heritability (h 2 ) along with high genetic advance as a percentage of mean (GAM) were observed, indicating that these traits are controlled by additive gene action. Out of five characters, seed yield/plant showed a significant and positive correlation with 100 seed-weight, indicating that selection pressure for this character will increase yield output in chickpea, according to correlation and path co-efficient analysis for seed yield/plant and its components. The findings suggested that in order to manipulate yield output in chickpea, greater attention should be placed on 100 seed weight.

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“…1 From the present study it was also observed that simultaneous selection for yield and quality traits may not be possible and balanced selection criteria should be followed depending on the objective. Similar studies confirming using PCA were reported by Samyuktha et al (2017) 5.…”

supporting

confidence: 90%

Biochemical and morphological diversity of chickpea (Cicer arietinum. L)

2023

EJPB

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Principal component analysis and hierarchical cluster analysis are the best tools to measure the degree of divergence and to suggest the parents for future crop improvement programmes. A study was done using 64 chickpea genotypes including desi and kabuli types provided from RARS, Nandyal. Research was conducted at Agricultural College Farm, Bapatla during Rabi 2021-22 in 8×8 square lattice design. Data was collected for 13 quantitative traits from five randomly selected and six biochemical traits were also estimated. Windostat version 9.3 statistical software was used for analysis of the data. Principal component analysis identified first six principal components with eigen value more than one and they accounted for 76.54 % of cumulative variance. Using ward's method, 64 genotypes were grouped into six clusters. Maximum inter cluster distance was found between cluster IV and cluster V followed by Cluster II and Cluster IV. Maximum intra cluster distance was observed within cluster IV followed by Cluster V. These studies revealed sufficient divergence among the genotypes for the traits studied.

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Genetic diversity and correlation studies in chickpea (Cicer arietinum L.) based on morphological traits

Cited by 5 publications

References 0 publications

Estimation of Genetic Parameters, Selection Indices and Association Analysis of Seed Yield and Its Component Traits in Chickpea (Cicer arietinum L.)

Estimation of Genetic Parameters, Selection Indices and Association Analysis of Seed Yield and Its Component Traits in Chickpea (Cicer arietinum L.)

Studies on Genetic Variability, Trait Association, and Path Analysis for Seed Yield and Yield Contributing Traits in Chickpea (Cicer Arietinum L.) Mini Core Germplasm

Biochemical and morphological diversity of chickpea (Cicer arietinum. L)

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