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Conditional QTL Mapping of Sedimentation Volume on Seven Quality Traits in Common Wheat

Authors :
Zhi-ying DENG
Liang ZHAO
Bin LIU
Kun-pu ZHANG
Jian-sheng CHEN
Hou-lan QU
Cai-ling SUN
Yong-xiang ZHANG
Ji-chun TIAN
Source :
Journal of Integrative Agriculture, Vol 12, Iss 12, Pp 2125-2133 (2013)
Publication Year :
2013
Publisher :
Elsevier, 2013.

Abstract

To evaluate the possible genetic interrelationships between flour components and the sedimentation volume (SD), a doubled haploid (DH) population comprising 168 lines were used to identify the conditional quantitative trait loci (QTLs) for SD in three environments. Ten additive QTLs and 15 pairs of epistatic QTLs were detected for SD through unconditional and conditional QTL mapping. Three major additive QTLs were detected for SD conditioned on the seven quality traits. Two additive QTLs were found to be independent of these traits. Three additive QTLs were suppressed by three of the seven traits because of non-detection in unconditional mapping. Three pairs of epistatic QTLs were completely affected by the seven traits because of detection in unconditional mapping but no-detection in conditional mapping. Twelve pairs of epistatic QTLs were detected in conditional mapping. Our results indicated that conditional mapping could contribute to a better understanding of the interdependence of different and closely correlated traits at the QTL molecular level, especially some minor QTLs were found. The conditional mapping approach provides new insights that will make it possible to avoid the disadvantages of different traits by breeding through molecular design.

Details

Language :
English
ISSN :
20953119
Volume :
12
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Journal of Integrative Agriculture
Publication Type :
Academic Journal
Accession number :
edsdoj.77c0bdef24924bc4b2d62d1ae8429f0e
Document Type :
article
Full Text :
https://doi.org/10.1016/S2095-3119(13)60352-4