Author(s): Radhika Ghetiya and Arvind Kalola

Abstract: The data of forty genotypes of finger millet were used for the present study. The experiment was conducted in a Randomized Block Design with three replications at the Genetics and Plant Breeding Farm, Anand Agricultural University, Anand during kharif 2020. The experimental material comprised of six different biometrical characters viz. grain yield per plant, productive tillers per plant, test weight, days to maturity, main ear length and plant height of forty genotypes of finger millet. The selection index technique was employed to study the crop improvement using different characters giving different weights to each character. Selection index for individual character, combination of two characters, three characters and so on was calculated and the combination which provided the higher relative efficiency was selected. The standard deviation and heritability were worked out between yield and yield attributing characters. Selection indices were worked out taking six biometrical characters and were constructed taking all possible combinations of the characters. Total sixty-three selection indices were constructed using equal weight (W1), standard deviation (W2) and heritability (W3) as weights for all the characters. The expected genetic advance and Per cent Relative Efficiency (PRE) of different indices were calculated. The results indicated that in general PRE with standard deviation as weight was higher than rest of the weights in all combinations of indices. The selection index I2456 in standard deviation weight method was found the best and the genotype WN 594 ranked first thus, can be used for future breeding programmes.

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