Scientific Publication

Association Analysis of Genotypic and Phenotypic Traits Using SSR Marker in Durum Wheat

Abstract

In durum wheat, marker-trait associations were studied for six agronomic&#xA;traits using a set of 25 simple sequence repeat (SSR) markers , with a set of 40 wheat&#xA;genotypes including drought, semi-tolerant and non-drought tolerant genotypes.&#xA;According to the factorial discriminate analysis (FDA) for phenotype traits and to the&#xA;Unweighted Pair Group Method with Arithmetic Mean (UPGMA) cluster, the 40&#xA;genotypes, were classified into five distinct groups. The first two components of FDA&#xA;results for phenotype traits, explained 74% of total variation. The results show that&#xA;landraces were earlier and relatively taller than the improved varieties. A total of 14&#xA;SSR markers showed significant associations with studied agronomic traits on&#xA;chromosomes of durum wheat. Some markers (wmc54 (3B), wms118 (5B) and&#xA;wmc165 (3A), showed significant associations with several traits and were&#xA;associated with Number of grains per main spike (NGS), Number of spike per meter&#xA;square (NS/m2)and throusand kernel weight (TKW) as well as with grain yield (GY)&#xA;and its components. In total, 136 alleles were obtained with a mean of 13&#xA;alleles/locus. The average PIC value was 0.74 suggesting a high degree of genetic&#xA;diversity. The analysis using the Mantel matrix correspondence test, revealed a&#xA;positive and highly significant correlation (r=0.6096; p<0.01, 1000 random&#xA;permutations) between the agro-morphological traits and the microsatellite markerderived&#xA;similarity matrices. Furthermore, the molecular variance analysis (AMOVA)&#xA;showed that the proportion of variance explained by within and among geographical&#xA;groups diversity was 83 % and 17%, respectively. Thus, our study showed significant&#xA;variation in morphological traits and microsatellite DNA polymorphisms among&#xA;wheat varieties