Association Analysis Of Three Agronomic Traitsin Wheat Using SSR Markers

One hundred, two genome-wide simple sequence repeat(SSR)markers were used to assess the genetic diversity and population structure of the association population which contains 86 synthetic wheat lines and 42 Chinese conventional wheat varieties. After finished the field surveys of three agronomic traits plant height, the first top internode tegth and spike length, the phenotypic variation was assesses. Association analysis was carried out between the SSR markers and three agronomic traits based on population structure. Results confirmed that 20 SSR pairs were strongly associated with the three agronomic traits.1. The data statistical description and analysis results of the association population lines showed that the population includede diverse phenotypic variation.2. 667 genetic variation were found in the genetic diversity assess results. And the average of PIC was 0.7236. It showed that the selected SSR primers can well reflect the genotype differences between materials.3. The GLM model—based population structure analysis subdivided the population into 3 clusters.The results suggested that the population could be used for detection of genomewide SSR marker—phenotype association mapping.4.The results of association analysis showed that a total of 20 markers were found to be associated(P<0.0 1) with the three agronomic traits. Results confirmed that XWMS-408, XGWM-186, XWMS-518 were strongly associated with plant height,which explained 8.38%、8.58%, 8.5% of the phenotypic variations respectively. 15 SSR markers were association with spike length,among those markers 6 were significant association(P<0.00 1) with the trait and the maximum explained 24.49% of the phenotypic variations.12 SSR markers were association with the first top internode tegth and 7 of those markers were significant association(P<0.00 1) with the first top internode tegth and the maximum explained 19.60% of the phenotypic variations.