International Journal of Chemical Studies
Vol. 6, Issue 1 (2018)
Assessment of genetic diversity using D2 analysis in warm-season turfgrasses
Author(s): Roshni Agnihotri and SL Chawla
Abstract: The present experiment was conducted to estimate the variability and diversity in thirteen warm season turfgrass genotypes. The mean sum of squares due to genotypes showed significant differences for all the characters. High and moderate estimates of heritability (broad sense) were obtained for all growth related traits of turf grasses high genotypic and phenotypic coefficient of variation were recorded for shoot intensity (GCV=111.20, PCV=111.65) followed by leaf width (GCV=82.90, PCV= 83.77) and days to new growth (GCV=71.60, PCV=72.60). The maximum and minimum cluster mean value was observed for fresh weight and vertical leaf growth among all three clusters, respectively. High genetic advance was found for all characters, except monthly colour rating and turf quality. On basis of D2 analysis, the thirteen genotypes were grouped into three clusters. The cluster I was very large and comprised of 9 genotypes and cluster II had 3 genotypes. While, cluster III was comprised only single genotype. The clustering pattern showed that genotypes of different geographical areas were clubbed in one group and also the genotypes of same geographical area were grouped into same cluster as well as in different cluster indicating formal relationship between geographical diversity and genetic diversity.
Pages: 1706-1710 | 334 Views 7 Downloads
How to cite this article:
Roshni Agnihotri, SL Chawla. Assessment of genetic diversity using D2 analysis in warm-season turfgrasses. Int J Chem Stud 2018;6(1):1706-1710.