Resolution of genetic variability and selection of novel genotypes in EMS induced rice mutants based on quantitative traits through MGIDI
Category:- Journal; Year:- 2022
Discipline:- Agrotechnology Discipline
School:- Life Science School
Abstract
Increased yield potential in rice has been a key genetic improvement problem that requires vast genetic variability and ethyl methanesulfonate (EMS) has the capability to advance plant breeding issues by creating new variants. The production of mutants followed by their characterization provides a powerful tool for selecting genotypes with desirable features. The goal of this work was to induce mutations in the background of a mega rice variety, BRRI dhan28 to create novel variants and to select high performing mutants with multiple traits. Descriptive statistics and analysis of variance reported a vast spectrum of heterogeneity among the mutants for all the 16 quantitative traits. Projected heritability and genetic variance figured that almost all the traits were highly heritable and had a complex inheritance pattern. The tillers hill-1, primary branches hill-1, grains panicle-1, straw yield hill-1, and harvest index were shown to be highly linked with grain yield, implying that direct selection based on these traits may be sufficient for improving other attributes. Besides, a heat map was employed to assess the mutants' similarity matrix. The first two principal components explicated around 41.62% of the overall variation, and the biplot of genotype by trait identified superior genotypes with favorable combinations of grain yield hill-1 with total tillers hill-1, effective tillers hill-1, total grains panicle-1, filled grains panicle-1, and straw yield hill-1. The results of the multi-trait genotypeideotype distance index (MGIDI) revealed that only ten mutants out of a hundred performed significantly better. These findings validate the efficiency of EMS in inducing mutations in rice, and the selected mutants can be exploited in future rice improvement efforts.
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