QTL analysis using flowering time genes as covariates Given the large and highly significant correlation of HD with LS and GS in the population and detection of large-effect QTL for both phenology and disease reaction associated with the Ppd-A1 , Ppd-D1 and Vrn-B1 loci, a standard interval mapping (SIM) approach was investigated using the marker data for these three major flowering time genes as covariates.
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Accounting for heading date gene effects allows detection of small-effect QTL associated with resistance to Septoria nodorum blotch in wheat.
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