Vol. 5 (5) : September-October 2014 issue
Green Farming Vol. 5 (5) : 749-753 ; September-October, 2014
Genetic variability and characters association in segregating population of okra
ABHISHEK KATAGI1*, SHANTAPPA TIRAKANNANAVAR2 and R.C. JAGADEESHA3
Deptt. of Crop Improvement and Biotechnology, K. R. C. College of Horticulture Arabhavi - 591 218, Tq. Gokak (Karnataka)
Designation : 1Research Fellow *(abhishekkat121@gmail.com), 2Professor. 3Professor & Head
Subject : Biotechnology, Molecular biology, Agriculture Microbiology and Cancer Res.
Paper No. : P-1730
Total Pages : 5
Received : 7 March 2014
Revised accepted : 18 September 2014
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Citation :
ABHISHEK KATAGI, SHANTAPPA TIRAKANNANAVAR and R.C. JAGADEESHA. 2014. Genetic variability and characters association in segregating population of okra. Green Farming Vol. 5 (5) : 749-753 ; September-October, 2014
ABSTRACT
An experiment was conducted at K. R. C. College of Horticulture, Arabhavi, Belgaum during kharif 2012. Two populations of the okra viz., single cross F2, and double cross F2 were developed using BH-1, BH-2, BH-3, BH-4, BH-5 and BH-6. The objective was to determine the genetic variability, nature of association among different yield attributes and their direct and indirect contribution towards yield. From the analysis of variance, it was observed that mean squares due to genotypes were significant for all the traits, indicating the presence of genetic variability in the experimental material. The values of PCV were higher than that of GCV values for all the twelve characters indicating influence of environmental effects in the expression of these characters and it was found more in DC F2 compare to SC F2 population. The GCV, heritability and genetic advance were higher for plant height, fruit yield per plant, fruit weight and days to 50 per cent flowering which might be attributed to additive gene action of inheritance in DC F2 population. From the correlation and path coefficient analyses, it revealed that the top priority should be given to selection based on numbers of fruit per plant, fruit length, fruit diameter and fruit weight for yield improvement and could be considered while formulating selection indices in the improvement of okra. Path coefficient analysis revealed that fruit weight had maximum direct contribution (0.869) towards fruit yield followed by number of fruits per plant (0.323) and fruit length (0.079). This revealed that DC F2 population showed more variability compared to SC F2 because it involves diverse parents in its development compared to SC F2 population.
Key words :
Double cross F2 , Correlation and path analysis, Genetic variability, Okra, Single cross F2.