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Introduction: Salinity is a major concern constraint to wheat production affects yield and its related parameters. In the present
study association mapping was conducted for different morphological characters using diverse 90 wheat accessions. A total
of 135 SSR markers distributed on all chromosomes of wheat were used to map rice genome association analysis was carried
out by means of mixed linear model. To manage the spurious associations, population structure with kinship in the given
panel was considered during association. Population structure analysis revealed three subgroups in the 90 wheat accessions.
The admixture level was in range from 0.9%-23.2%. A total of 13 marker trait associations were identified and out of these five
marker trait associations explained phenotypic variation of more than 10%. These identified marker trait associations could
enhance breeding effectiveness by significantly reducing the time and labor consuming efforts which otherwise be needed in
conventional breeding.
Findings: The entire panel was selected carefully by screening material from different geographical locations. The screening
was done meticulously. A total of 13 marker trait associations were found and out of these traits panicle length explained
phenotypic variance of 16.2%. Some of these QTLs share overlapping regions with other genes when BLAST was performed
and shows 100% identity.
Conclusion & Significance: Salt tolerance is a posing threat for field crops like wheat with millions of hectares of land are
affected by it. There is an urgent need to develop varieties that can withstand such harsh environment. The present study is one
of the steps towards developing these varieties. Once the regions are identified, the genes could be introgressed to conventional
varieties which can support food requirements of world population.
Biography
Harpreet Singh is a Ph.D. scholar in Maharishi Markandeshwar University from India.