ISSN: 0973-7510

E-ISSN: 2581-690X

Open Access
Indu , R. Niyaria, S.S. Raghuwanshi and A. Saxena
Department of Genetics and Plant Breeding, College of Agriculture, Junagadh Agricultural University, Junagadh, Gujarat – 362 001, India.
J Pure Appl Microbiol. 2016;10(4):2937-2941 | © The Author(s). 2016
Received: 04/07/2016 | Accepted: 20/09/2016 | Published: 31/12/2016

Fifty diverse genotypes of mung bean were evaluated in a randomized block design with three replication for the study of selection indices during summer2014. Thirty-one selection indices involving seed yield per plant (X1) and four yield components viz., biological yield per plant (X2), number of primary branches per plant (X3), number of Seed per pod (X4) and plant height (X5) were constructed using the discriminant function analysis. Discriminant function analysis indicated that selection efficiency of the function was improved by increasing the number of characters in the index. Among the single character indices, biological yield per plant exhibited higher genetic advance and relative efficiency over straight selection for seed yield per plant. The index based on five characters viz., seed yield per plant, biological yield per plant, number of primary branches per plant, length of pod and plant height recorded the highest genetic advance as well as relative efficiency and selection efficiency. These characters could be advantageously exploited in the green gram breeding programmes.


Discriminant function, Relative efficiency, Selection indicesand Mung bean.

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© The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.