*Article not assigned to an issue yet
Keywords: Correlation, Genetic variability, Okra, Path analysis, Yield
The study identifies key yield-contributing traits in okra through significant genetic variability and path analysis, enabling efficient selection for genetic improvement. The study was conducted during kharif seasons of 2022–23 and 2023–24 at the Experimental Farm, Department of Vegetable Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Neri, Hamirpur (H.P.) to assess genetic variability, correlation and path coefficient effects among 25 okra (Abelmoschus esculentus (L.) Moench) genotypes. A significant and wide range of variation was accessed across all examined traits. The genotypes Parbhani Kranti, Gujarat Okra 3 and Punjab 8 showed excellent performance in yield and major horticultural characteristics. Number of primary branches and mucilage content showed high phenotypic and genotypic variability, while traits like total soluble solids, first flowering node, pod yield and pod-related characteristics exhibited moderate variability. Traits such as number of primary branches, mucilage content, total soluble solids, first flowering node, number and weight of pods, pod diameter, plant height, ascorbic acid, number of seeds per pod and pod yield exhibited high heritability coupled with moderate to high genetic gain. These findings suggest that selection could effectively enhance these traits. Pod yield per plant exhibited strong positive associations with primary branches, number of pods per plant, pod weight, pod diameter, plant height, mucilage content, and 100 seed weight. Path analysis further confirmed that first flowering node, pod weight and ascorbic acid had direct and positive effects on pod yield. The study highlights key heritable traits for improving okra yield through targeted selection.
Ahmad I, Rana RM, Hassan MU, Khan MA, Sajjad M (2022) Association mapping for abiotic stress tolerance using heat- and drought-related syntenic markers in okra. Mol Biol Rep 49:11409–11419. https://doi.org/10.1007/s11033-022-07827-x
Alam MA, Hafizuddin AAB, Gobilik J, Mijin SB, Khandaker MM (2021) Evaluation of best quality okra parental lines based on morpho-physiological and nutritional attributes. Bulg J Agric Sci 27:1127–1135. https://doi.org/10.31018/jans.v16i1.5286
Al-Jibouri HA, Miller PA, Robinson HF (1958) Genotypic and environmental variances and co-variances in an upland cotton cross of interspecific origin. Agron J 50:633–636
Allard RW (1960) Principles of Plant Breeding. Wiley, New York, p 885
Anonymous (2020) Package of practices for vegetable crops. Directorate of extension education, Dr YS Parmar university of horticulture and forestry, Nauni, Solan, HP, pp. 33–35
Ashraf ATMH, Rahman MM, Hossain MM, Sarker U (2020) Study of correlation and path analysis in the selected okra genotypes. Asian Res J Agric 12:1–11
Burton GW, Devane EH (1953) Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agron J 45:478–481
Dewey DR, Lu KH (1959) A correlation and path coefficient analysis of components of crested wheat grass seed population. Agron J 51:515–518
Fasoula DA, Ioannides IM, Omirou M (2020) Phenotyping and plant breeding: overcoming the barriers. Front Plant Sci 10:1713. https://doi.org/10.3389/fpls.2019.01713
Johanson HW, Robinson HF, Comstock RE (1955) Estimates of genetic and environment variability in soybean. Agron J 47:314–318
Koundinya AVV, Dhankhar SK, Yadav AC (2013) Genetic variability and divergence in okra [Abelmoschus esculentus (L.) Moench]. Indian J Agric Sci 83:685–688
Kumar D, Singh J, Pathania R, Dogra BS, Chandel VGS (2023) Revealing genetic diversity for the improvement of pod yield in okra (Abelmoschus esculentus L. Moench). Electron J Plant Breed 14:1497–1504. https://doi.org/10.37992/2023.1404.178
Kumari A, Singh VK, Kumari M, Kumar A (2019) Genetic variability, correlation and path coefficient analysis for yield and quality traits in okra [Abelmoschus esculentus (L.) Moench]. Int J Curr Microbiol Appl Sci 8:918–926. https://doi.org/10.20546/ijcmas.2019.806.110
Kumawat S, Singh AK, Kumar R, Suman A, Das T, Poonia S (2024) Assessment of genetic variability and character association in okra [Abelmoschus esculentus (L.) Moench]. Int J Res Agron 7:660–664. https://doi.org/10.33545/2618060X.2024.v7.i7h.1113
Lush JL (1949) Heritability of quantitative characters in farm animals. Hereditas 35:356–357
Manivannan N (2014) TNAUSTAT—statistical package. TNAUSTAT
Martin FW, Rhodes AM, Manuel O, Felix D (1981) Variation in okra. Euphytica 30:697–705
Mishra B, Tiwari A, Pandey SK, Ramgiry M (2024) DUS-based agro-morphological characterization and genetic variability in okra [Abelmoschus esculentus (L.) Moench]. Veg Sci 51:78–85. https://doi.org/10.61180/vegsci.2024.v51.i1.11
Mkhabela SS, Shimelis H, Gerrano AS, Mashilo J (2022) Phenotypic and genotypic divergence in okra (Abelmoschus esculentus L. Moench) and implications for drought tolerance breeding: a review. S Afr J Bot 145:56–64. https://doi.org/10.1016/j.sajb.2020.12.029
Mohammed W, Seyoum S, Bekele A, Hussen S, Assefa A (2022) Diversity of okra [Abelmoschus esculentus (L.) Moench] genotypes in Ethiopia. East Afr J Sci 16:115–132. https://doi.org/10.20372/eajs.v16i2.1948
Neeraja S, Srinivas J, Joshi V, Nikhil BSK, Sathish G (2022) Correlation and path analysis studies in okra [Abelmoschus esculentus (L.) Moench] genotypes. Biol Forum Int J 14:1097–1106
Panse VG, Sukhatme PV (1954) Statistical methods of agricultural workers. ICAR Publication, New Delhi
Rana A, Singh S, Bakshi M, Singh SK (2020) Studied on genetic variability, correlation and path analysis for morphological and yield-attributed traits in okra [Abelmoschus esculentus (L.) Moench]. Int J Agric Stat Sci 16:387–394. https://doi.org/10.58993/ijh/2024.81.3.2
Ranga AD, Bhairwa MK, Darvhankar MS, Vats V (2023) Revealing genetic diversity of okra (Abelmoschus esculentus L. Moench) for yield improvement. Ann Plant Soil Res 25:389–397. https://doi.org/10.47815/apsr.2023.10283
Ranga AD, Darvhankar MS (2022) Diversity analysis of phenotypic traits in okra (Abelmoschus esculentus L. Moench). J Hortic Sci 17:63–72. https://doi.org/10.24154/jhs.v17i1.1214
Reddy JP, Anbanandan V, Kumar BS (2022) Genotypic, phenotypic variability and evaluation of okra [Abelmoschus esculentus (L.) Moench] genotypes for yield components. J Appl Nat Sci 14:180–187. https://doi.org/10.31018/jans.v14i1.3322
Samiksha RS, Verma SK, Prakash S, Kumar S, Maurya SK (2021) Studies on correlation and path coefficient analysis in okra [Abelmoschus esculentus (L.) Moench]. Int J Curr Microbiol Appl Sci 10:277–284. https://doi.org/10.20546/ijcmas.2021.1003.036
Sheoran OP, Tonk DS, Kaushik LS, Hasija RC, Pannu RS (1998) Statistical software package for agricultural research workers. Recent Adv Inf Theory Stat Comput Appl. Dep Math Stat, CCSHAU, Hisar 8(12):139-143.
Sodini SM, Kemper KE, Wray NR, Trzaskowski M (2018) Comparison of genotypic and phenotypic correlations: Cheverud’s conjecture in humans. Genetics 209:941–948. https://doi.org/10.1534/genetics.117.300630
United States Department of Agriculture, SR LEGACY (2019) OKRA, RAW (, 169260). Food Data Central. https://fdc.nal.usda.gov/fdcapp.html#/food-details/169260/nutrients
Department of Vegetable Science, Dr Yashwant Singh Parmar University of Horticulture and Forestry, Nauni, Solan, India