Journal of Krishi Vigyan
Open Access
  • Year: 2025
  • Volume: 13
  • Issue: 2

Genotypic and Phenotypic Correlation Analysis for Important Quantitative Characteristics in Okra Cultivars

  • Author:
  • Udit Joshi1,*, D K Rana2, Yogesh Kumar3, Arun Prakash4, Kamlesh Kumar Yadav5
  • Total Page Count: 7
  • Page Number: 384 to 390

1Department of Vegetable Science, Govind Ballabh Pant University of Agriculture and Technology, Udham Singh Nagar, Pantnagar, 263145, (Uttarakhand), India

2Department of Horticulture, H.N.B.G.U., Srinagar (Garhwal), Pauri Garhwal, 246174, (Uttarakhand), India

3Department of Agriculture, M.J.P.R.U., Bareilly, 243006, (Uttar Pradesh), India

4Department of Food Technology, D.B.U.U., Dehradun, 248007, (Uttarakhand), India

5Department of Horticulture, S.K.N.A.U., Jobner, 303329, (Rajasthan), India

*Corresponding Author’s Email - uditjoshi444@gmail.com

Online Published on 30 July, 2025.

Abstract

Okra is grown all over the world during spring-summer season. Estimations based on interrelations among yield related characters are crucial in order to understand the selection process ultimately improving yield during breeding programme. Therefore, the present research was undertaken during Kharif 2019 using 26 different cultivars to examine the degree to which various yields and its linked traits are related to one another at the H.N.B. Garhwal University Srinagar (Garhwal) Pauri Garhwal Uttarakhand. The data regarding correlation study revealed that the at both the phenotypic as well as genotypic levels, the average weight of fruit, fruits per plant, petiole length, diameter of fruit, seed index, length of fruit and moisture content were all significantly and positively associated with yield. Whereas, pedicel length, length of leaf, epicalyx segments, chlorophyll content, plant height, nodes at first flowering, internodal length, number of ridges per fruit, primary branches per plant, days taken to first fruit harvest, days taken to first flowering and days taken to first fruit set showed negative correlation. Finally, it might be summed up that the selections based on positively associated traits might prove to be more advantageous during mapping out the selection processes in crop improvement plans in okra.

Keywords

Cultivars, Crop improvement, Correlation, Okra, Vegetable, Yield