GENETIC VARIABILITY, CHARACTER ASSOCIATION AND PATH ANALYSIS IN WHITE JUTE (Corchorus capsularis L.)

Loading...
Thumbnail Image
Date
2017-07
Journal Title
Journal ISSN
Volume Title
Publisher
AAU, Jorhat
Abstract
Jute Corchorus species is a natural fiber cash crop and is second in the world after cotton in terms of global production, consumption and availability. Jute plays a vital role in Indian economy in general, and the eastern region in particular. In India jute is cultivated mainly in the eastern states like West Bengal, Assam, Tripura, Bihar, Orissa and to some extent in Uttar Pradesh. The present investigation was conducted for estimation of genetic variability, character association and path analysis of fibre yield and its attributes were studied on 50 genotypes of white jute including two check varieties JRC-517 and Apeswaree. The study was conducted in randomized block design experiment with 2 replications. The seeds were sown in kharif season (April, 2016) with plot size 2 m x 0.75 m and spacing 25 cm row to row and 6 cm plant to plant spacing. Analysis of variance revealed presence of significant amount of variation among all the genotypes for all the characters. Estimates of GCV and PCV were found to be high and had close agreements in plant height, reed length, effective reed length, basal diameter and fibre yield per plant, indicating less influence of environmental effects. High heritability coupled with high genetic advance was recorded for quantitative traits. Correlation studies revealed highly significant genotypic and phenotypic association between fibre yield per plant and its components, like reed length, stick weight per plant and plant height. Therefore, it is concluded that these traits can be used as primary selection criteria for improving jute fibre yield stability. Variability among the genotypes may be utilized by the breeders in future for breeding programme. Also, the results of this study suggest that plant height, reed length, effective reed length, green weight and stick weight per plant should be used as selection parameters.
Description
Keywords
Citation
Collections