Vol. 5 (2) : March-April 2014 issue
Green Farming Vol. 5 (2) : 186-189 ; March-April, 2014
Correlation and path coefficient analysis of yield attributes in okra (Abelmoschus esculentus (L.) Moench)
M. AMARANATHA REDDYa1*, O. SRIDEVIa2, B. RAJASEKHAR REDDYb3 and S.K. NABI RASOOLc4
aDepartment of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad - 580 005 (Karnataka)
bDepartment of Horticulture, Banaras Hindu University, Varanasi - 221 005 (Uttar Pradesh)
cDepartment of Applied Botany, College of Agriculture, P.D. Krishi Vidyapeeth, Nagpur - 444 104 (Maharashtra)
Designation : 1,4P.G. Student *(amylarapu001@gmail.com), 2Professor & Head, 3Research Scholar
Subject : Crop Genetics and Plant Breeding
Paper No. : P-0945
Total Pages : 4
Received : 20 May 2013
Revised accepted : 14 February 2014
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Citation :
M. AMARANATHA REDDY, O. SRIDEVI, B. RAJASEKHAR REDDY and S.K. NABI RASOOL. 2014. Correlation and path coefficient analysis of yield attributes in okra (Abelmoschus esculentus (L.) Moench). Green Farming Vol. 5 (2) : 186-189 ; March-April, 2014
ABSTRACT
The present study was undertaken on fifty seven inbred lines and seven checks which were evaluated for yield and yield related components and screened for reaction to okra yellow vein mosaic virus, nature of association among different yield attributes and their direct and indirect contribution towards yield. The fruit yield per hectare had significantly positive correlation with number of branches, inter-nodal length, fruit length, fruit diameter, number of fruits per plant, fruit weight and disease incidence to yellow vein mosaic virus (YVMV) at both genotypic and phenotypic level, indicating mutual association of these traits and negative correlation with days to 50 per cent flowering and plant height. In the path coefficient analysis number of fruits per plant recorded highest direct effect (0.6588) followed by fruit weight (0.4274) and plant height (0.0523). However, inter-nodal length exhibited highest negative direct effect (-0.0939) followed by number of branches per plant (-0.0515) and fruit length (-0.0325). These important traits may be viewed in selection programme for the further improvement of okra.
Key words :
Genotypic & phenotypic correlation, Okra, Path analysis, YVMV disease, Yield components.
