Journal of Pharmacognosy and Phytochemistry
Vol. 9, Issue 5 (2020)
Selection indices for improvement of seed yield in soybean [Glycine max (L.) Merrill]
Author(s):
RB Bhuva, CA Babariya, VS Balar and JA Gadhiya
Abstract:
Seventy diverse genotype of soybean were evaluated in a randomized block design with three replications to study of selection indices under rainfed conditions during
kharif 2019-20. Thirty-one selection indices involving seed yield per plant and four yield components
viz., number of pods per plant, number of clusters per plant, biological yield per plant and harvest index were constructed using the discriminant function technique.
Discriminant function analysis indicated that selection efficiency of the function was improved by increasing number of characters in the index. Among the single character index, number of pods per plant exhibited higher genetic advance and relative efficiency over straight selection for seed yield per plant. The index based on three characters
viz., number of pods per plant, number of clusters per plant and biological yield per plant possessed high genetic gain and relative efficiency. These characters could be advantageously exploited in the soybean breeding programmes.
Pages: 546-548 | 1106 Views 422 Downloads
RB Bhuva, CA Babariya, VS Balar and JA Gadhiya. Selection indices for improvement of seed yield in soybean [Glycine max (L.) Merrill]. J Pharmacogn Phytochem 2020;9(5):546-548.