2016
DOI: 10.5958/0975-928x.2016.00036.3
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Characterization of high molecular weight glutenin subunits of Wheat genotypes

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Cited by 3 publications
(4 citation statements)
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“…We observed that HMW-GS allele 2 ? 12 which have the negative effect on wheat flour quality was the most abundant (72.81%) in Indian wheat landraces and in agreement with other studies (Shitre et al 2016). Again in agreement with results of some other reports, we reported a lower frequency of 5 ?…”
Section: Discussionsupporting
confidence: 93%
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“…We observed that HMW-GS allele 2 ? 12 which have the negative effect on wheat flour quality was the most abundant (72.81%) in Indian wheat landraces and in agreement with other studies (Shitre et al 2016). Again in agreement with results of some other reports, we reported a lower frequency of 5 ?…”
Section: Discussionsupporting
confidence: 93%
“…The most frequent pattern was 17 ? 18 (49.14%) in accordance with findings of Shitre et al 2016. Similar to some previous reports, single/rare subunit 21 was detected in the present study (Dong et al 2009).…”
Section: Discussionsupporting
confidence: 92%
“…HMW-GS are the major determinants of wheat bread making quality (Payne et al, 1987), confirmed more than 30 years ago. As indicators of quality, they are the most explored components of dough composition (Shewry et al, 1992;He et al, 2005;Shitre et al, 2016;Hristov et al, 2009). In our country, the genetic characterization of high molecular glutenins in wheat using DNA markers was not performed by now.…”
Section: Introductionmentioning
confidence: 99%
“…Except a few reports like frequency distribution of various HMW-GS in the peninsular region (Shitre et al, 2016) Homepage: http://epubs.icar.org.in/ejournal/index.php/JWR and preponderance of 2+12 subunit in comparison to 5+10 (Glu D1)inthe heat stressed environments (Mohan and Gupta 2013a), no detailed investigation had been done under Indian conditions. AICRP on Wheat and Barley Improvement provides a perfect platform to examine such issues as it evaluates wheat entries for yield and quality traits in different production environments.…”
Section: Introductionmentioning
confidence: 99%