Genetic divergence studies in maize

Plant domestication provides a unique model to study genome evolution. Many studies have been conducted to examine genes, genetic diversity, genome structure, and epigenome changes associated with domestication.

16p vigalileogalilei 27-02-2022 14 1   Download

Thirty genotypes of maize were evaluated for genetic diversity using Mahalanobis D2 statistics for various morpho physiological traits during kharif, 2013. The data on 21 quantitative traits were recorded and on the basis of Mahalanobis’ D2 statistics, all the 30 genotypes of the present study were grouped into six clusters.

6p quenchua8 29-09-2020 6 0   Download

In the present study conducted at AICRP Maize, University of Agricultural Sciences, Dharwad, sixty single cross hybrids were produced by crossing twenty female inbred lines to three divergent inbred male testers in line x tester design. The parental inbred lines along with test cross hybrids, resistant check, susceptible check and hybrid checks were evaluated for their disease reaction against turcicum leaf blight under artificial epiphytotic condition.

8p nguathienthan5 04-06-2020 14 1   Download

Seventy five maize genotypes were evaluated to study the genetic divergence under two drought stress conditions i.e. moderate stress and severe stress along with well watered conditions. The experiment was carried out at Maize Research Centre, Rajendranagar, Hyderabad, during rabi 2011-12. The seventy five genotypes were grouped into nine distinct clusters. The cluster VII, cluster VIII and cluster VII were the largest and lowest genotypes were included in cluster II, cluster V and clusters V and IX under normal, moderate drought stress and severe drought stress conditions, respectively.

11p chauchaungayxua5 08-05-2020 8 0   Download

In the present investigation a total of forty seven maize inbred lines were studied to assess the genetic diversity for 10 quantitative traits viz., days to 50% tasseling, days to 50% silking, days to maturity, plant height (cm), ear length (cm), ear height (cm), 100-seed weight (g), kernel rows per ear, number of kernels per row and grain yield per plant (g) using principal component analysis and hierarchical cluster analysis. The PCA identified four principal components (PCs) with Eigen value greater than 1.00 and accounted for 80.35 per cent of total variation.

9p nguaconbaynhay5 11-05-2020 14 0   Download