%0 Journal Article %A parand, mohammad %A yamchi, ahad %A Soltanloo, Hassan %A Zaynalinejad, Khalil %T Study of Allelic Diversity of Genes Encoding Low Molecular Weight Glutenin Subunit (LMW-GS) In Some Bread Wheat Cultivars %J Journal of Crop Breeding %V 10 %N 26 %U http://jcb.sanru.ac.ir/article-1-753-en.html %R 10.29252/jcb.10.26.53 %D 2018 %K Wheat Bread, Quality Bakery, Specific primer and Glutenin, %X In order to study on allelic diversity of low-molecular-weight glutenin subunit (LMW-GS) 15 bread wheat cultivars with good, average and poor baking qualities were selected using four primers. The increase and reduce of repetitive units’ length were examined through designing and synthesizing of primers based on the glutenin subunits structure with low molecular weight and both sides of repetitive sequences. For all primers, the banding patterns of reproducible units were scored based on 0 and 1. Primer 15/2A differentiated Dez, Falat and Shirudi as poor quality cultivars. The cultivars of Sirvan and Golestan by primer 15/7A, Niknezhad by 22/7D and Sirvan and Morvarid by 25/5B were differentiated for baking quality. Using PopGene 1.31 software, the average number of observed and effective allells, Nei gene variation index and Shannon information index was calculated as 2, 1.23, 0.18 and 0.32, respectively. Further, in order to determine the differentiation power of the primers, polymorphic information content (PIC) were calculated for each primer and primer 15/2A showed the highest PIC. Using the results of akrylamide gel and cluster analysis by NTSYS-pc 2.2 software based on Jaccard coefficient and UPGMA method, the similarity matrix results was confirmed and the cultivars were classified in 5 clusters related to baking quality trait. Present study revealed that repetitive unit length in LMW-GS as well as the factors such as the cysteine amino acids number of this proteins, Pharinograf quality number and other reologic indexes can provide general insights related to backing quality trait. %> http://jcb.sanru.ac.ir/article-1-753-en.pdf %P 53-64 %& 53 %! %9 Research %L A-10-697-1 %+ %G eng %@ 2228-6128 %[ 2018