Genetic diversity studies in local collections and advanced generations of lucerne (Medicago sativa L.) genotypes for fodder yield and yield-attributing traits

Authors

  • Vinodkumar S. K. University of Agricultural Sciences, Dharwad-580005, India
  • K. Sridhar Southern Regional Research Station, ICAR-IGFRI, Dharwad-580005, India
  • S. K. Deshpande University of Agricultural Sciences, Dharwad-580005, India
  • N. S. Kulkarni Southern Regional Research Station, ICAR-IGFRI, Dharwad-580005, India

DOI:

https://doi.org/10.59515/rma.2024.v45.i1.04

Abstract

Precise information about genetic divergence is vital for a productive breeding program, as genetically diverse parents produce high heterotic effects, producing desirable segregants with higher yield levels. This study assessed seventy genotypes and four checks to estimate the extent of genetic diversity based on ten morphological traits attributed to yield. The genotypes showed significant differences for all the traits considered. Based on the Mahalanobis D2 statistics, the genotypes were grouped into ten clusters, with cluster I having the maximum number of genotypes, whereas cluster IX had a single genotype. The average inter-cluster distances revealed that the genotypes in clusters VI and VII were more diverse. In contrast, clusters I and III genotypes had the shortest inter-cluster distances, indicating genetic closeness. The study revealed a broad genotypic diversity within and between the alfalfa germplasm collections. The genotypes in clusters I, III, and V provide excellent genetic material for alfalfa yield improvement. They offer a possible way to exploit the existing variability to develop superior populations or composites

Downloads

Download data is not yet available.

Uploaded

29-06-2024
Dimensions Badge

How to Cite

S. K., V., Sridhar, K., Deshpande, S. K., & Kulkarni, N. S. (2024). Genetic diversity studies in local collections and advanced generations of lucerne (Medicago sativa L.) genotypes for fodder yield and yield-attributing traits. Range Management and Agroforestry, 45(01), 26–31. https://doi.org/10.59515/rma.2024.v45.i1.04

Issue

Section

Research article

Most read articles by the same author(s)