Genetic variability, character association and path coefficient analysis in okra
Downloads
Published
DOI:
https://doi.org/10.58993/ijh/2024.81.3.2Keywords:
Abelmoschus esculentus (L.) Moench, correlation, GCV, path coefficient, PCV.Issue
Section
License
Copyright (c) 2024 Indian Journal of Horticulture

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
A study was conducted to investigate the genetic architecture of different lines for fruit yield and its associated traits in okra. Fourteen parents, consisting of twelve lines and two testers, were crossed using a Line × Tester mating design in the spring-summer season of 2019-20 at Vegetable Research Farm, CCSHAU, Hisar. The resulting twenty-four hybrids were cultivated in a randomized block design with three replications during the rainy season of 2020-21. Fruit yield/hectare showed a significant range from 87.86 to 150.18 quintals with an average of 117.73 quintals. The phenotypic coefficient of variation ranged from 3.91% (test weight) to 20.23% (Number of branches per plant), slightly surpassing the genotypic coefficient of variation which ranged from 1.98% (test weight) to 12.15% (fruit yield) with high estimate of PCV for the number of branches per plant (20.23%) and a moderate estimate of both PCV and GCV for fruit yield (14.67%, 12.15%), number of fruits per plant (14.34%, 12.06%), respectively. This suggests that the traits studied were more influenced by genetic factors than environmental factors. High heritability coupled with high genetic advance as percentage of mean for traits such as number of fruits/plant (70.74%, 20.89%) and fruit yield/hectare (68.65%, 20.74%) suggested that additive genes play a major role in determining these traits respectively. This indicates that it is possible to select high-yielding genotypes by selecting parents with desirable traits. Fruit yield/hectare displayed positive and significant associations with most of the traits like number of fruits per plant (0.95) and plant height (0.36) at phenotypic levels. The number of fruits per plant, 1000 seeds test weight, fruit diameter, and number of branches per plant had the most significant positive effect on fruit yield. Ultimately, such analysis has the potential to assist breeders in formulating their selection strategies aimed at enhancing fruit yield.Abstract
How to Cite
Downloads
Similar Articles
- Mahesh Badiger, R. K. Yadav, Genetic variability and association of yield with its component traits in Okra , Indian Journal of Horticulture: Vol. 75 No. 04 (2018): Indian Journal of Horticulture
- P.P. Singh, Dhurendra Singh, Genetic variability studies for improvement in brinjal under hot arid agro-climate , Indian Journal of Horticulture: Vol. 73 No. 03 (2016): Indian Journal of Horticulture
- Mahesh Kumar, S.R. Sharma, P. Kalia, P. Saha, Genetic variability and character association for yield and quality traits in early maturing Indian cauliflowers , Indian Journal of Horticulture: Vol. 68 No. 02 (2011): Indian Journal of Horticulture
- Mahesh Kumar, S.R. Sharma, P. Kalia, P. Saha, Genetic variability and character association for quantitative and quality traits in early maturing Indian cauliflowers , Indian Journal of Horticulture: Vol. 67 No. Special Issue (2010): Indian Journal of Horticulture
- G.S. Chouhan, S.S. Kushwah, O.P. Singh, R.K. Sharma, Genetic variability and correlation analysis for fruit yield and quality traits in bottle gourd , Indian Journal of Horticulture: Vol. 77 No. 02 (2020): Indian Journal of Horticulture
- Kamaluddin ., Shahid Ahmed, Variability, correlation and path analysis for seed yield and yield related traits in common beans , Indian Journal of Horticulture: Vol. 68 No. 01 (2011): Indian Journal of Horticulture
- Subhendu S. Gantait, Suresh K. Mahato, Jayoti Majumder, Genetic variability, character association and path coefficient analysis in gladiolus for various quantitative traits , Indian Journal of Horticulture: Vol. 73 No. 04 (2016): Indian Journal of Horticulture
- Rahul Kumar, Sanjay Kumar, Yogesh Chandra Yadav, Genetic variability, heritability, genetic advance, correlation coefficient and path analysis in gladiolus , Indian Journal of Horticulture: Vol. 69 No. 03 (2012): Indian Journal of Horticulture
- P. Olivia Devi, S.C. Pant, S.S. Rawat, D.K. Rana, N. Indra Kumar Singh, Correlation coefficient and genetic divergence analysis in pea , Indian Journal of Horticulture: Vol. 67 No. Special Issue (2010): Indian Journal of Horticulture
- Smriti Bansal, P. K. Mahajan, R. K. Gupta, Ashu Chandel, Pramod Kumar, Sarita Devi, Variability analysis and PCA studies for fruiting behaviour in high density guava , Indian Journal of Horticulture: Vol. 81 No. 01 (2024): Indian Journal of Horticulture
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.