Correlation and path analysis studies in okra (Abelmoschus esculentus (L.) Moench)
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Correlation coefficient and path analysis were studied using parents (female VRO - 6 and male AOL - 09 – 02), their F1 and F2 generations. Observations were recorded on thirteen yield and its contributing characters. Among them, fruit yield/plant exhibited positive and highly significant correlation with number of fruits/plant, plant height at final harvest, fruit weight, number of branches/plant, fruit girth, number of seeds/fruit, internodal length, and 100 seed weight. Path coefficient analysis revealed that number of fruits/plant, fruit weight, days to first picking, internodal length, 100 seed weight and fruit length recorded positive direct effect on fruit yield/plant.Keywords:
Abelmoschus
Path coefficient
Positive correlation
Negative correlation
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Forty two genotypes of chilli were used to study the correlation and path analysis for growth and yield contributing characters. The experiment was laid out in randomized block design with three replication at Kittur Rani Channamma College of Horticulture Arabhavi during Kharif season, 2016. The results revealed that plant height had positive and significant correlation with number of secondary branches, fruit length, green fruit weight and green fruit yield per plant. The path coefficient analysis brought out the number of fruits per plant, fruit width and average fruit weight as major yield components, which could be considered as selection indices for improvement. The results suggested that due emphasis should be on to the genotypes that are having maximum number of fruits per plant, fruit length, fruit girth and fruit weight in the selection process due to their high positive direct effect on green fruit yield.
Path coefficient
Kharif crop
Genetic correlation
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Character association and path analysis in thirty five genotypicaly diverse indigenous genotypes of brinjal were studied at experimental farm of Central Institute of Temperate Horticulture, Srinagar during year 2009-2010 for eight important characters. The phenotypic and genotypic association of fruit yield was significantly positive with number of fruits/plant, fruit weight and fruit width, whereas plant height, plant spread, number of primary branches and fruit length was non-significantly negatively associated. The genotypic path coefficient revealed that highest positive direct effect (0.700) on fruit yield followed by number of fruits/plant (0.653), plant spread ( 0.053), fruit width (0.052), fruit length (0.030), whereas plant height (– 0.153) showed negative direct effects on fruit yield/plant (kg). Overall the path analysis confined that direct effect of fruit weight, number of fruits/plant, plant spread, fruit width, fruit length and number of primary branches, whereas indirect effect of plant height should be considered simultaneously for amenability in fruit yield of brinjal.
Path coefficient
Melongena
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The present investigation was conducted to estimate genetic parameters such as genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance (GA) along with correlations and path coefficients from data collected on 52 okra genotypes collected from the IIHR, Bengaluru, India. Analysis of variance indicated significant differences among the genotypes for different morphological characters. High GCV and PCV were observed for yield per plant, no. of fruits per plant, no. of seeds per fruit, where as moderate GCV and PCV was observed for average fruit weight. High heritability coupled with high GAM were observed for almost all the characters studied, except days to 50% flowering and days to 80 % maturity shows low heritability with low GAM. The yield per plant, plant height and number of seeds per fruit showed high genetic advance that helped in effective and reliable selection through these characters for crop improvement. Fruit yield per plant showed positive association with stem girth, number of branches per plant, plant height, first fruit producing node, fruit length, fruit diameter, average fruit weight, number of fruits per plant, number of seeds per fruit and 100 seed weight while, negative association with days to 50% flowering, number of locules per fruit and days to 80 % maturity. The number of fruits per plant had maximum direct effect on fruit yield per plant followed by average fruit weight. Number of branches per plant, plant height and first fruit producing node contributed to fruit yield per plant indirectly via stem girth, average fruit weight, and number of fruits per plant. Hence, number of fruits and average fruit weight are identified as key traits for developing high fruit yielding genotypes of okra for future breeding programme.
Abelmoschus
Path coefficient
Locule
Genetic Variability
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Studies on genetic variability and correlation for fruit yield and fruit quantity characters of okra
Okra (Abelmoschus esculentus) is a most common vegetable crop cultivated for its tender, nutritive fruits.It is well adopted suitable for cultivation all round the year for providing continuous income to the farmer.An experiment was conducted to study the genetic variability and correlation in okra, involving 40 genotypes for eight important economic characters, namely days to first flowering, plant height, number of branches per plant, number of fruiting nodes, fruit length, fruit girth, fruit weight, fruit yield per plant.High PCV and GCV observed for the traits fruit girth, fruit weight, fruit yield per plant.Majority of the traits recorded high heritability.For fruit weight and fruit yield per plant, high heritability coupled with high genetic advance as per cent of mean were observed.The results indicated the inverse relationship between fruit weight and fruit yield per plant.Fruit yield per plant was positively and significantly correlated with fruit girth, fruit length, number of fruiting nodes, number of branches per plant and plant height, whereas, fruit yield per plant had negative and significant correlation with days to first flowering.
Abelmoschus
Genetic Variability
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Thirty three hybrids were developed by crossing seven lines and three testers in L x T fashion for twenty six parameters for productivity and quality traits. The variance due to parents vs. hybrids was also significant for all traits except plant height at 45 DAS, Internodal length 45 DAS, days to first flowering, fruit diameter and seed yield per plant. The study on correlation found that total fruit per plant had positive and highly significant correlation with plant height, first flowering node, number of nodes per plant, number of fruits per plant, average fruit weight. From path analysis it became clear that plant height at 90 DAS, days to first harvest, number of nodes per plant, number of fruits per plant, average fruit weight, exerted direct positive effect towards fruit yield per plant. Thus selection could be made relying on average fruit weight and number of fruits per plant for high yielding types. The information presented here about quality traits of okra showed the potential nutritional importance of okra and it has role in improved nutrition.
Abelmoschus
Path coefficient
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The present study was carried out on twenty genotypes of okra [Abelmoschus esculentus (L.) Moench] with view to find out the correlation and path co efficient values among the seed yield components. Fruit yield/plant had significant positive association with number of fruits/plant and number of first fruiting node, whereas it exhibited significant negative association with days to flowering. Fruit yield/plant high positive direct effect on seed yield/plant indicating direct selection based on these characters would improve seed yield/plant.
Abelmoschus
Path coefficient
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Citations (10)
Correlation and path coefficient were studied for thirteen yield attributing characters in eleven genotypes of ber. Fruit set, fruit length, fruit breadth, fruit weight, stone diameter, pulp weight, specific gravity and harvest duration had significant positive correlation with fruit yield. At genotypic level, fruit length showed the highest direct positive effect on fruit yield followed by fruit weight and fruit breadth.
Path coefficient
Positive correlation
Negative correlation
Specific gravity
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The experiment was carried out during kharif-2016 at Regional Horticultural Research Station, Navsari Agricultural University, Navsari, Gujarat. Correlation and path coefficient analysis of 12 quantitative characters in 148 F2 plants from cross AOL-09-02 x AOL-10-22 and 160 F2 plants from cross AOL-09-02 x GAO-5 were studied. In F2 population of both crosses, fruit yield/plant exhibited positive and highly significant correlation with number of fruits/plant, plant height at final harvest, internodal length, number of branches/plant and fruit length indicating that these characters are the primary yield determinants in okra and selection criteria based on these characters would be beneficial for improvement of fruit yield/plant. Positive direct effect on fruit yield/plant was recorded for number of fruits/plant, fruit weight, 100 seed weight and fruit girth in F2 populations of both crosses. While for days to first flowering and number of seeds/fruit in F2 population of AOL-09-2 x AOL-10-22 and for days to first picking, plant height at final harvest, number of branches/plant at final harvest and fruit length in F2 population of AOL-09-2 x GAO-5. Direct selection practiced on these characters will result in improvement in yield. In F2 population of both crosses, internodal length had negative and direct effect on fruit yield/plant. In F2 population of AOL-09-2 x AOL-10-22, number of branches/plant at final harvest, fruit length, plant height at final harvest and days to first picking had negative and direct effect on fruit yield/plant. In F2 population of AOL-09-2 x GAO-5, number of seeds/fruit and days to first flowering had negative and direct effect on fruit yield/plant. These important traits may be viewed in selection programme for the further improvement of okra.
Abelmoschus
Kharif crop
Path coefficient
Positive correlation
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Economic yield attributing characters were studied in Brinjal for crop improvement through selecting high yielding characters. Significant variations were recorded among the genotypes for various yield traits studied. Fruit yield per plant observed positive and significant correlation with fruit index, number of fruits per plant, diameter of fruits, average fruit weight plant spread, primary branches per plant, plant height. Fruit yield per plant observed negative and significant correlation with, Days to first flowering, days to first fruit set, days to first fruit picking at both genotypic and phenotypic level had exhibited true association with direct effect on fruit yield per plant. The direct selection for these traits would be rewarding for crop improvement in the total fruit yield per plant.
Melongena
Path coefficient
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Thirty-two cucumber genotypes were evaluated at College of Horticulture, Anantharajupeta during Late Kharif 2016. The study was conducted to assess the nature and magnitude of association among yield and its contributing traits in cucumber. The experiment was laid out in RBD with three replications. In this study, genotypic correlation was higher than phenotypic correlations indicating the highly heritable nature of the traits. It was observed that the traits viz., number of fruits per plant, fruit weight, number of primary branches per plant, fruit length and vine length have exhibited highly significant positive association with fruit yield per plant. The genetic improvement of fruit yield thus can be obtained by direct selection of these yield components. The path coefficient analysis revealed that the number of fruits per plant, fruit weight, number of primary branches per plant, fruit length, 100 seed weight, number of seeds per fruit, days to last fruit harvest, fruit diameter and number of nodes per vine have direct positive phenotypic and genotypic effect on yield. Hence, direct selection for these traits can be done for improving fruit yield per plant.
Cucumis
Vine
Path coefficient
Kharif crop
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