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Studies on variability, correlation and path analysis of traits contributing to fruit yield and its components in okra (Abelmoschus esculentus L. Moench)

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Title Studies on variability, correlation and path analysis of traits contributing to fruit yield and its components in okra (Abelmoschus esculentus L. Moench)
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Creator Prakash Kerure1*, M. Pitchaimuthu2 and Akshata Hosamani3
 
Subject Fruit yield, GCV, PCV, okra, correlation, path analysis
 
Description Not Available
Abstract
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.
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Date 2021-08-16T09:55:39Z
2021-08-16T09:55:39Z
2017-03
 
Type Research Paper
 
Identifier Not Available
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http://krishi.icar.gov.in/jspui/handle/123456789/57313
 
Language English
 
Relation Not Available;
 
Publisher Not Available