Analyzed of the relationship between dependent and independent variables of yield with their associated traits in colocasia (Colocasia esculenta
(L.) Schott) genotypes were investigated in experimentations years conducted at three locations. The experiment was laid out as randomized complete block design with three replications of all the locations. Data were collected on the growth and yield attribute characters of colocasia. The associations of the attributes measured in both the locations were studied to estimate the stepwise multiple regression. Considering stepwise multiple regression simultaneously as the best estimators of the amount of advance expected from selection, plant height, leaf area index, number of cormels plant-1
, cormels weight, cormels yield plant-1
and corm yield plant-1
gave the highest values in each of the locations. This shows that a satisfactory selection program for improvement of these genotypes through these traits is possible at each specific location. Stepwise multiple regression analysis revealed number of cormels plant-1
, cormel weight and corm weight as the biggest determinants of corms and cormels yield ha-1
of colocasia, both contributing about 85%, 82% and 78% at different locations of the total variation in yield. This suggests that these three characters are important selection indices for colocasia yield improvement.
Ganesh Prasad Nag, HC Nanda, Jitendra Singh and RR Saxena. Study of the relationship between dependent and independent yield and its traits in colocasia (Colocasia esculenta var. antiquoroum (L.) Schott). J Pharmacogn Phytochem 2020;9(3):2202-2205.