Vol. 11, Issue 12 (2022)

Author(s):
N Vishnurekha, Unnati Vaghela, Mayur Kumar Sonagara, Dr. DJ Parmar and Dr. PR Vaishnav

Abstract:
In the current study, five biometrical characters were used to construct selection indices in all possible combinations of characters: fruit yield per plant, days to initial flowering, plant height, average fruit weight, and number of fruits per plant. Thirty-one selection indices were constructed by using different weights like equal weight (W₁), genotypic correlation with fruit yield (W₂), phenotypic correlation with fruit yield (W₃), and path coefficients (direct effect) of the characters (W₄). The selection index (I₁₃₅) having fruit yield per plant, plant height and the number of fruits per plant had the highest percent relative efficiency (PRE) among the rank correlation showed that ranks assigned to genotypes by all weight methods were more or less similar. It is concluded that as per the simplicity of arithmetic, the equal weight method is suitable for the development of the selection index compared to other weight methods.