Path Coefficient and Correlation Analysis Studies on the Variation Induced by Gamma Irradiation in M1 Generation of Chickpea (Cicer arietinum L.)

Khan, R Muhammad; Qureshi, S Afsari

doi:10.3923/jbs.2001.108.110

Cited by 11 publications

(5 citation statements)

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“…Soluble solid content in exocarp and endocarp of red fruit exhibited non-significant negative correlation with yield/plant which agreed with [52]. [53] also deduced that non-significant positive association between yield/plant and soluble solid content. On the contrary, soluble solid content in exocarp and endocarp of red fruit had highly significant positive correlation with lycopene and beta-carotene content as well as phenotypically positive relationship with titratable acidity.…”

Section: Character Associationsupporting

confidence: 71%

Genetic Dissection for Yield and Fruit Quality Traits in Tomato (Lycopersicon esculentum Mill.)

Muntaha,

Nesa,

Sagor

2023

EJFOOD

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The genetic variability for yield, its attributing, and fruit quality traits using 38 tomato genotypes was studied. High significant differences among the genotypes were found for all recorded traits. Phenotypic coefficient of variation was greater than genotypic coefficient of variation for all the traits indicating the presence of environmental influences. Most of the traits expressed moderate to high heritability. Plant height, number of seed/fruit, chlorophyll content in top leaf, red fruit weight, number of fruit/plant, soluble solid content in exocarp and endocarp of red fruit, titratable acidity of red fruit juice, lycopene content, beta-carotene and yield/plant had high heritability along with high genetic advance as percentage of the mean. Yield/plant exhibited a significant positive correlation with number of fruit/plant, number of flower/bunch, red fruit girth, red fruit length and red fruit weight. Path analysis revealed soluble solid content in endocarp of red fruit, number of fruit/plant, plant height, number of bunch/plant, number of flower/bunch, number of seed/fruit, green fruit length, red fruit girth, red fruit length, red fruit weight, lycopene and beta-carotene content had direct positive effect on yield/plant. Principal component analysis depicted first eight PCs with Eigen-value higher than one contributing 76.74% of total variability. Thirty-eight genotypes grouped into seven clusters where cluster II contains maximum genotypes. Based on the mean performance, genotypes Tm-131 and WOP-10 for yield and ascorbic acid content; Puli-25, VI005584 and Tm-2 for total soluble solids; VI-063607 and VI-0337183 for lycopene and beta-carotene content may be considered as superior genotypes which can be used as potential genetic resources for the development of nutritionally rich high-yielding tomato variety.

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Section: Character Associationsupporting

confidence: 71%

Genetic Dissection for Yield and Fruit Quality Traits in Tomato (Lycopersicon esculentum Mill.)

Muntaha,

Nesa,

Sagor

2023

EJFOOD

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“…Arshad et al, (2004b) also narrated a negative and non-significant correlation for days to flowering with pods per plant and positive non-significant correlation with days to maturity. Primary branches were also reported to exhibit significant, positive genotypic and phenotypic correlation with secondary branches (Khan & Qureshi, 2001).…”

Section: Resultsmentioning

confidence: 99%

Interrelationships among yield and yield contributing traits in chickpea (Cicer arietinum L.)

2016

Int. J. Biosci.

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Chickpea (Cicer arietinum L.), being considered as vital protein source throughout the world, is grown widely in Pakistan as a major protein contributor. For better improvement of crop performance, essential knowledge about the genetically controlled yield and yield contributing traits is vital. Therefore, present study was conducted with objective to compare the performance of yield components and further their interrelationships for twenty chickpea genotypes including four varieties. That were evaluated for the existence of genetic variability and to know the interrelationship among yield traits under study during 2013-2014, at University of Agriculture, Faisalabad. The experiment was laid out in a randomized complete block (RCB) design with three replications. Data were recorded on number of days taken to flowering, number of primary branches plant -1 , number of secondary branches plant -1 , plant height, number of days taken to maturity, number of pods plant -1 , numbers of seed pods -1 , total plant weight, Number of grains plant -1 , 100-seed weight and grain yield plant -1 . The obtained data were analyzed for genetic variability parameters, correlation and path coefficient analysis. Higher values of broad sense heritability estimates were obtained for 100-seed weight (0.977), plant height (0.971), total plant weight (0.971) and number of primary branches plant -1 . Genetic advance was higher for plant height (9.054), total plant weight (9.054), number of pods plant -1 (6.414) and 100-seed weight (2.941). The phenotypic coefficient of variation (PCV) was invariably slightly higher than their corresponding genetic coefficient of variation (GCV) due to influence of environment on character expression. Heritability estimates were higher for all characters except number of days taken to maturity and number of grains per plant, which exhibited moderate heritability. Hundred seed weight, plant height, total plant weight and primary branches per plant would be the suitable selection criteria to accomplish better grain yield in chickpea.

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“…"Path coefficient analysis helps to determine the direct effect of traits and their indirect effects on other traits. A directional model based on seed yield and its components that provides the chance for selection is used in correlation analysis to evaluate the mutual relationship between two parameters" [34]. Mahalanobis's D 2 statistics is a powerful tool in quantifying the degree of variability at the genotype level.…”

Section: Introductionmentioning

confidence: 99%

Genetic Variability and Diversity Analysis for Yield and its Associated Traits in Chickpea (Cicer arietinum L.)

Mihoariya,

Tiwari,

Yadav

et al. 2023

CJAST

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Chickpea (Cicer arietinum L.) is a leguminous self-pollinating crop belongs to family- Leguminosae (Fabaceae). The aim of a plant breeder is to identify or develop high yielding cultivars. In the present investigation, 83 genotypes grown during Rabi 2021-22 to investigate genetic variability, heritability and genetic advance, correlation, direct and indirect effects and genetic divergence (D2 analysis) among yield and its attributing traits. High GCV and PCV recorded for the numbers of pods per plant and biological yield indicating the presence of substantial amount of genetic variability in the experimenting material. High heritability coupled with high genetic advance was shown for seed yield per plant, hundred seed weight. Selection based on these traits may be proved worthwhile. Significant and positive correlation was documented for seed yield per plant with numbers of pods per plant and biological yield and path analysis signified that biological yield had the highest positive direct effect on seed yield per plant. The data obtained from the present investigation may be proved helpful in the selection of high yielding superior genotype (s) of chickpea.

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Path Coefficient and Correlation Analysis Studies on the Variation Induced by Gamma Irradiation in M1 Generation of Chickpea (Cicer arietinum L.)

Cited by 11 publications

References 2 publications

Genetic Dissection for Yield and Fruit Quality Traits in Tomato (Lycopersicon esculentum Mill.)

Genetic Dissection for Yield and Fruit Quality Traits in Tomato (Lycopersicon esculentum Mill.)

Interrelationships among yield and yield contributing traits in chickpea (Cicer arietinum L.)

Genetic Variability and Diversity Analysis for Yield and its Associated Traits in Chickpea (Cicer arietinum L.)

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