You need JavaScript to view this

Evaluation of Pakistani wheat germplasm for bread quality based on allelic variation in HMW glutenin subunits

Abstract

Seventy six Pakistani wheat genotypes including land races were investigated for Bread quality (BQ) based on allelic variation in HMW glutenin subunits at the Glu-1 loci through SDS- polyacrylamide gel electropherosis. Twenty five different allelic combinations were detected with a total of 14 Glu-1 loci. Highest polymorphism was revealed by Glu-B locus and some single/ rare sub units were also screened out. The frequencies of dominant subunits were 50% for 2*, 42.11% for subunit pair 17+18 and 48.68% for 5+10 and 2+12 respectively. The quality scores displayed a range from 4 to 10, however generally good quality score of eight was more frequent (39. 47%). The highest quality scores of 10 and 9 were observed in 22.36% and 19.74% of genotypes respectively. The UPGMA analysis grouped genotypes into three major with two additional sub clusters for each. The cluster 'a' 'b' and 'C' were separated at 73% genetic distance which was further differentiated at a genetic distance of 50% into their sub clusters. Pakistani wheat varieties/land races exhibited large variation in term of HMW-GS. The generated information will lead to the pyrimiding of sub units for high BQ through mission oriented marker assisted breeding programmes for quality improvement of wheat.  More>>
Authors:
Tabasum, A; Iqbal, N; Hameed, A; Arshad, R [1] 
  1. Nuclear Institute for Agriculture and Biology, Faisalabad (Pakistan)
Publication Date:
Jun 15, 2011
Product Type:
Journal Article
Resource Relation:
Journal Name: Pakistan Journal of Botany; Journal Volume: 43; Journal Issue: 3
Subject:
60 APPLIED LIFE SCIENCES; ACRYLAMIDE; BREAD; DISEASE RESISTANCE; ELECTROPHORESIS; GENOTYPE; GLUTIN; PAKISTAN; WHEAT; AMIDES; ASIA; CEREALS; DEVELOPING COUNTRIES; FOOD; GRAMINEAE; LILIOPSIDA; MAGNOLIOPHYTA; ORGANIC COMPOUNDS; ORGANIC NITROGEN COMPOUNDS; PLANTS; PROTEINS; SCLEROPROTEINS
OSTI ID:
21475958
Country of Origin:
Pakistan
Language:
English
Other Identifying Numbers:
Journal ID: ISSN 0556-3321; TRN: PK1100542069401
Submitting Site:
INIS
Size:
page(s) 1735-1740
Announcement Date:
Sep 12, 2011

Citation Formats

Tabasum, A, Iqbal, N, Hameed, A, and Arshad, R. Evaluation of Pakistani wheat germplasm for bread quality based on allelic variation in HMW glutenin subunits. Pakistan: N. p., 2011. Web.
Tabasum, A, Iqbal, N, Hameed, A, & Arshad, R. Evaluation of Pakistani wheat germplasm for bread quality based on allelic variation in HMW glutenin subunits. Pakistan.
Tabasum, A, Iqbal, N, Hameed, A, and Arshad, R. 2011. "Evaluation of Pakistani wheat germplasm for bread quality based on allelic variation in HMW glutenin subunits." Pakistan.
@misc{etde_21475958,
title = {Evaluation of Pakistani wheat germplasm for bread quality based on allelic variation in HMW glutenin subunits}
author = {Tabasum, A, Iqbal, N, Hameed, A, and Arshad, R}
abstractNote = {Seventy six Pakistani wheat genotypes including land races were investigated for Bread quality (BQ) based on allelic variation in HMW glutenin subunits at the Glu-1 loci through SDS- polyacrylamide gel electropherosis. Twenty five different allelic combinations were detected with a total of 14 Glu-1 loci. Highest polymorphism was revealed by Glu-B locus and some single/ rare sub units were also screened out. The frequencies of dominant subunits were 50% for 2*, 42.11% for subunit pair 17+18 and 48.68% for 5+10 and 2+12 respectively. The quality scores displayed a range from 4 to 10, however generally good quality score of eight was more frequent (39. 47%). The highest quality scores of 10 and 9 were observed in 22.36% and 19.74% of genotypes respectively. The UPGMA analysis grouped genotypes into three major with two additional sub clusters for each. The cluster 'a' 'b' and 'C' were separated at 73% genetic distance which was further differentiated at a genetic distance of 50% into their sub clusters. Pakistani wheat varieties/land races exhibited large variation in term of HMW-GS. The generated information will lead to the pyrimiding of sub units for high BQ through mission oriented marker assisted breeding programmes for quality improvement of wheat. (author)}
journal = []
issue = {3}
volume = {43}
place = {Pakistan}
year = {2011}
month = {Jun}
}