2015
DOI: 10.5958/0976-0547.2015.00037.3
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Variability, correlation and path analysis studies in bitter gourd (Momordica charantiaL.)

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Cited by 11 publications
(11 citation statements)
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“…Fruit weight had highly significant and positive association with fruit yield per vine (0.70), fruit length (0.64) and fruit width (0.27) and fruit length had significant and positive correlation with fruit yield per vine (0.48). Similar observations were made by earlier workers Yadagiri et al, (2017) for number of fruits per vine, fruit length, Rani et al, (2015) for number of fruits per vine, average fruit weight, pulp thickness in bitter gourd, Khan et al, (2015) for fruit length, average fruit weight, number of fruits per vine in bitter gourd and Yadav and Yadav (2015) for average fruit weight only at phenotypic level, in bitter gourd. 1.00 0.14 Critical r P value = 0.30 at 1% and 0.23 at 5 % *Significant at 5% probability level, **Significant at 1% probability level Where, X 1 =Vine length (m) X 2 =Number of branches per vine X 3 =Internodal length (cm) X 4 =Node at which first male flower appear X 5 =Node at which first female flower appear X 6 =Days to first male flower X 7 =Days to first female flower X 8 =Sex ratio X 9 =Number of fruits per vine X 10 =Fruit weight (g) X 11 =Fruit length (cm) X 12 =Fruit width (mm) X 13 =Fruit yield per vine (kg) 1.00 0.14 Critical r P value = 0.30 at 1% and 0.23 at 5 % *Significant at 5% probability level, **Significant at 1% probability level Where, X 1 =Vine length (m) X 2 =Number of branches per vine X 3 =Internodal length (cm) X 4 =Node at which first male flower appear X 5 =Node at which first female flower appear X 6 =Days to first male flower X 7 =Days to first female flower X 8 =Sex ratio X 9 =Number of fruits per vine X 10 =Fruit weight (g) X 11 =Fruit length (cm) X 12 =Fruit width (mm) X 13 =Fruit yield per vine (kg) Residual effect = 0.38 Bold diagonal value indicates direct effect Critical r P value = 0.302 at 1 per cent and 0.232 at 5 per cent probability level r p = Phenotypic path coefficients with fruit yield per vine (kg)…”
Section: Phenotypic Correlationsupporting
confidence: 87%
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“…Fruit weight had highly significant and positive association with fruit yield per vine (0.70), fruit length (0.64) and fruit width (0.27) and fruit length had significant and positive correlation with fruit yield per vine (0.48). Similar observations were made by earlier workers Yadagiri et al, (2017) for number of fruits per vine, fruit length, Rani et al, (2015) for number of fruits per vine, average fruit weight, pulp thickness in bitter gourd, Khan et al, (2015) for fruit length, average fruit weight, number of fruits per vine in bitter gourd and Yadav and Yadav (2015) for average fruit weight only at phenotypic level, in bitter gourd. 1.00 0.14 Critical r P value = 0.30 at 1% and 0.23 at 5 % *Significant at 5% probability level, **Significant at 1% probability level Where, X 1 =Vine length (m) X 2 =Number of branches per vine X 3 =Internodal length (cm) X 4 =Node at which first male flower appear X 5 =Node at which first female flower appear X 6 =Days to first male flower X 7 =Days to first female flower X 8 =Sex ratio X 9 =Number of fruits per vine X 10 =Fruit weight (g) X 11 =Fruit length (cm) X 12 =Fruit width (mm) X 13 =Fruit yield per vine (kg) 1.00 0.14 Critical r P value = 0.30 at 1% and 0.23 at 5 % *Significant at 5% probability level, **Significant at 1% probability level Where, X 1 =Vine length (m) X 2 =Number of branches per vine X 3 =Internodal length (cm) X 4 =Node at which first male flower appear X 5 =Node at which first female flower appear X 6 =Days to first male flower X 7 =Days to first female flower X 8 =Sex ratio X 9 =Number of fruits per vine X 10 =Fruit weight (g) X 11 =Fruit length (cm) X 12 =Fruit width (mm) X 13 =Fruit yield per vine (kg) Residual effect = 0.38 Bold diagonal value indicates direct effect Critical r P value = 0.302 at 1 per cent and 0.232 at 5 per cent probability level r p = Phenotypic path coefficients with fruit yield per vine (kg)…”
Section: Phenotypic Correlationsupporting
confidence: 87%
“…Fruit yield per vine had direct positive effect via vine length (0.041), node at which first male flower appear (0.102), number of fruits per vine (0.673) and fruit weight (0.893). This indicates that there is strong association between these vegetative traits this results agrees with Rani et al, (2015) for internodal length, fruit weight and fruit length.…”
Section: Path Coefficient Analysissupporting
confidence: 87%
“…From Table 1 it is observed that the Maximum positive direct effect on fruit yield vine -1 was exerted by vine length at final harvest (10.3228), followed by days to first fruit harvest (5.2426), flesh thickness (1.7492), node bearing first female flower (1.7188) and number of primary branches vine -1 at final harvest (0.5681). Similar findings have been reported by Kumari et al [5] for vine length at final harvest and node bearing first female flower, Jatav et al [6] for days to first fruit harvest, Gupta et al [7] for number of primary branches vine -1 at final harvest and Rani et al [8] for flesh thickness in bitter gourd.…”
Section: Resultssupporting
confidence: 83%
“…Yield components like fruit length, fruit diameter, fruit weight and number of fruits per plant greatly contribute to total fruit yield per plant 56 , 57 . Two major QTLs together explained 24.25% of phenotyping variation for fruit length.…”
Section: Discussionmentioning
confidence: 99%