Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for XXXX Aroma Trait.

@entity8553 @entity1735 @entity13130 @entity3689 @entity1521 @entity579 @entity70709
UNASSIGNED: When a phenotype of interest is associated with an external/internal covariate, covariate inclusion in quantitative trait loci (QTL) analyses can diminish residual variation and subsequently enhance the ability of QTL detection. In the in vitro synthesis of @entity70709 ( @entity13130 ), the main fragrance compound in @entity579 , the thermal processing during the Maillard-type reaction between @entity1521 and @entity1735 reduction produces a @entity8553 . Hence, for the first time, we included the @entity1521 @entity3689 , an important precursor of @entity13130 , as a covariate in our QTL mapping analyses to precisely explore the genetic factors affecting natural variation for @entity579 scent. Consequently, two QTLs were traced on chromosomes 4 and 8. They explained from 20% to 49% of the total aroma phenotypic variance. Additionally, by saturating the interval harboring the major QTL using gene-based primers, a putative allele of fgr (major genetic determinant of fragrance) was mapped in the QTL on the 8th chromosome in the interval RM223-SCU015RM (1.63 cM). These loci supported previous studies of different accessions. Such QTLs can be widely used by breeders in crop improvement programs and for further fine mapping. Moreover, no previous studies and findings were found on simultaneous assessment of the relationship among @entity13130 , @entity1521 and fragrance QTLs. Therefore, our findings can help further our understanding of the metabolomic and genetic basis of @entity13130 biosynthesis in aromatic @entity579 .
