تجزیه هم‏بستگی برخی صفات زراعی با نشان گرهای ریزماهواره برای انتخاب کلون‌های پرقند نیشکر در استان خوزستان

Correlation analysis method makes possible early and rapid identification of genes controlling quantitative traits. In this research, the relationship between 14 agronomic traits and 96 bonds obtained from 20 pairs of microsatellite primers on 26 clones and four commercial cultivars has been studied by Canonical correlation. The average number of alleles was 5.15 for each microsatellite location. The polymorphic information content (PIC) of primers was variable between 0.19 and 0.71. Markers of AFO62734, UGSM688 and UGSM2 with the most polymorphic information content of the primers showed the most polymorphic index and could identify the genetic distance of numbers better than the rest of the markers. While markers of UGSM31and SGM6 with lowest amount of Polymorphic index were not able to isolate genotypes. The results of canonical correlation analysis indicated that there is significant relationship between large number of loci and at least one of the agronomic traits except the percentage of juice and the percentage of juice purity. Therefore, there is probability of using these loci to select the optimal of morphological traits in sugarcane. The most correlation related to sugar yield trait and straw yield were obtained by marker of SMC226CG respectively 25 and 26 percent and for percentage trait of white sugar by marker of AFO62734 (%12). Also some markers showed more than one association trait which indicates that these traits have close conjunction with each other or probably are under the influence of multi-effect genes. In future studies, the band of identified markers which have high correlation (r2) with agronomic traits can be used to select the parent crosses and improve high sugar varieties.