Genetic Evaluation and Bi-plot Analysis in Okra Hybrids for Yield, Quality Components and YVMV Resistance

Evaluation of Okra Hybrids Yield and YVMV Resistance

  • S S SOLANKEY Department of Horticulture (Vegetables & Floriculture), Bihar Agricultural University, Sabour, Bhagalpur– 813 210, Bihar, India
  • ANIL K SINGH Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India – 221 005.

Abstract

Fifty one okra F1 hybrids (using 17 lines as female and 3 testers as male parent) were evaluated in RCBD design during two different consecutive seasons (summer and rainy). Phenotypic coefficient of variability (PCV) was higher than genotypic coefficient of variability (GCV) for all studied character exhibiting environmental effects on the expression of characters. Heritability (h2b) along with genetic advance per cent of mean was found highest for character YVMV (86.95% and 150.61%). All the 51 okra hybrids were grouped into 4 distinct clusters in which Cluster II was the largest cluster having 28 F1s (54.90% of total F1s) followed by Cluster I with 14 F1s (27.45% of total F1s). Out of the major 6 PCs, 4 principal components (PC1, PC2, PC3 and PC4) accounted with proportionate values of 22.61, 17.22, 11.87 and 10.63%, respectively and contributed 62.33 % of the cumulative variation having Eigen value more than one. Moreover, based on PCs and genetic divergence in Cluster I and Cluster IV for plant height, YVMV and number of fruit per plant is important to identify the best cross combination (Arka Abhay × Arka Anamika) in okra. Therefore, the best cross combinations for improvement in various economic traits can be recommended on the basis of genetic divergence and principal component analysis in okra.

Author Biographies

S S SOLANKEY, Department of Horticulture (Vegetables & Floriculture), Bihar Agricultural University, Sabour, Bhagalpur– 813 210, Bihar, India

Department of Horticulture (Vegetables & Floriculture), Bihar Agricultural University, Sabour, Bhagalpur– 813 210, Bihar, India

ANIL K SINGH, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India – 221 005.

Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India – 221 005.

Published
2018-12-15
How to Cite
SOLANKEY, S S; SINGH, ANIL K. Genetic Evaluation and Bi-plot Analysis in Okra Hybrids for Yield, Quality Components and YVMV Resistance. Journal of AgriSearch, [S.l.], v. 5, n. 4, p. 240-246, dec. 2018. ISSN 2348-8867. Available at: <https://jsure.org.in/journal/index.php/jas/article/view/494>. Date accessed: 17 feb. 2019.
Section
Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.