ABSTRACT

The experiment was conducted on tossa jute (Corchorus olitorius L.) at Jute Agricultural Experimental Station, Jagir, Manikganj during the period from April to August, 2016. The experiment was laid out in a randomized complete block design with three replications. A total of 53 diverged genotypes were included to examine the interrelationships of eleven growth and yield characters viz. plant height (cm), base diameter (mm), green bark thickness (mm), leaf length (cm), leaf width ( mm), leaf angle (0), petiole length (cm), green weight with leaves (g), green weight without leaves (g), fibre weight (g) and stick weight (g) as well as  their associations with fibre weight in Tossa. Fibre weight was highly positively correlated with plant height (0.677 and 0.962), base diameter (0.382 and 0.878), green bark thickness (0.614 and 0.744), leaf length (0.379 and 0.551), petiole length (0.170 and 0.217), green wt. with leaves (0.854 and 0.952), green wt. without leaves (0.801 and 0.945) and stick wt. (0.913 and 0.973) at both phenotypic and genotypic levels. The results of path coefficient analysis were shown that direct positive effects of plant height, (0.088), base diameter (0.099), green bark thickness (0.094), stick weight (0.486) on fiber yield/plant, green weight with leaves (0.424) and green wt. without leaves (0.012) suggested that these characters would be feasible to improve fiber yield potential in tossa jute.

Key words: Correlation coefficient, path analysis, tossa jute.        

Introduction

Jute is an important traditional cash crop in Bangladesh. It is the second most important natural fiber in terms of global consumption after cotton (Basu, 2008). The associations of commercially important quantitative characters that are statistically determined by correlation coefficients have been quite helpful as basis of selection. Selection pressure could be more easily exerted on any of the characters which reflect close association with fiber yield. The fiber yield by itself may not be the best criterion alone for improving fibre yield of tossa jute. Correlation studies measured only mutual association between two in depended characters and path analysis measures the cause and effect of relationship. Thus, the estimation of correlation coefficients and path analysis gave a clear picture about the association between two characters and partitioning of the relationship into direct and indirect effects showing the relative contribution of each of the causal factors towards the fiber yield of tossa jute. Such study would also offer to know the suitability of various characters for indirect selection because selection of one or more character results in correlated response in several other traits.