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Journal of Integrative Agriculture  2014, Vol. 13 Issue (2): 299-309    DOI: 10.1016/S2095-3119(13)60508-0
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
Major Gene Identification and Quantitative Trait Locus Mapping for Yield- Related Traits in Upland Cotton (Gossypium hirsutum L.)
 XIA Zhe, ZHANG Xin, LIU Yang-yang, JIA Zi-fang, ZHAO Hai-hong, LI Cheng-qi , WANG;Qing-lian
1.College of Life Sciences, Henan Normal University, Xinxiang 453003, P.R.China
2.Key Discipline Open Lab on Crop Molecular Breeding of Henan Institute of Higher Learning/Cotton Research Institute, Henan Institute of Science and Technology, Xinxiang 453003, P.R.China
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摘要  Segregation analysis of the mixed genetic model of major gene plus polygene was used to identify the major genes for cotton yield-related traits using six generations P1, P2, F1, B1, B2, and F2 generated from the cross of Baimian 1 × TM-1. In addition to boll size and seed index, the major genes for the other five traits were detected: one each for seed yield, lint percentage, boll number, lint index; and two for lint yield. Quantitative trait locus/loci (QTL) mapping was performed in the F2 and F2:3 populations of above cross through molecular marker technology, and a total of 50 QTL (26 suggestive and 24 significant) for yield-related traits were detected. Four common QTL were discovered: qLP-3b(F2)/qLP-3(F2:3) and qLP-19b (F2)/qLP-19(F2:3) for lint percentage, qBN-17(F2)/qBN-17(F2:3) for boll number, and qBS-26b(F2)/qBS-26(F2:3) for boll size. Especially, qLP- 3b(F2)/qLP-3(F2:3), not only had LOD scores >3 but also exceeded the permutation threshold (5.13 and 5.29, respectively), correspondingly explaining 23.47 and 29.55% of phenotypic variation. This QTL should be considered preferentially in marker assisted selection (MAS). Segregation analysis and QTL mapping could mutually complement and verify, which provides a theoretical basis for genetic improvement of cotton yield-related traits by using major genes (QTL).

Abstract  Segregation analysis of the mixed genetic model of major gene plus polygene was used to identify the major genes for cotton yield-related traits using six generations P1, P2, F1, B1, B2, and F2 generated from the cross of Baimian 1 × TM-1. In addition to boll size and seed index, the major genes for the other five traits were detected: one each for seed yield, lint percentage, boll number, lint index; and two for lint yield. Quantitative trait locus/loci (QTL) mapping was performed in the F2 and F2:3 populations of above cross through molecular marker technology, and a total of 50 QTL (26 suggestive and 24 significant) for yield-related traits were detected. Four common QTL were discovered: qLP-3b(F2)/qLP-3(F2:3) and qLP-19b (F2)/qLP-19(F2:3) for lint percentage, qBN-17(F2)/qBN-17(F2:3) for boll number, and qBS-26b(F2)/qBS-26(F2:3) for boll size. Especially, qLP- 3b(F2)/qLP-3(F2:3), not only had LOD scores >3 but also exceeded the permutation threshold (5.13 and 5.29, respectively), correspondingly explaining 23.47 and 29.55% of phenotypic variation. This QTL should be considered preferentially in marker assisted selection (MAS). Segregation analysis and QTL mapping could mutually complement and verify, which provides a theoretical basis for genetic improvement of cotton yield-related traits by using major genes (QTL).
Keywords:  major gene       segregation analysis       QTL mapping       yield-related traits       upland cotton  
Received: 12 January 2013   Accepted:
Fund: 

This work was supported by the National Natural Science Foundation of China (31371677), the High-Tech R&D Program of China (2012AA101108), the Achievements Transformation Project of National Agricultural Science and Technology, China (2010276), the Research and Establishment of Modern Industrial Technology System for National Cotton, China (nycytx-06-09), and the Natural Science Foundation of Henan Province, China (2010A210006).

Corresponding Authors:  WANG Qing-lian, Tel: +86-373-3040389, Fax: +86-373-3040666, E-mail: cottonmol@aliyun.com; LI Cheng-qi, Tel: +86-373-3040389, Fax: +86-373-3040666, E-mail: lichq2010@126.com     E-mail:  cottonmol@aliyun.com
About author:  XIA Zhe

Cite this article: 

XIA Zhe, ZHANG Xin, LIU Yang-yang, JIA Zi-fang, ZHAO Hai-hong, LI Cheng-qi , WANG;Qing-lian . 2014. Major Gene Identification and Quantitative Trait Locus Mapping for Yield- Related Traits in Upland Cotton (Gossypium hirsutum L.). Journal of Integrative Agriculture, 13(2): 299-309.

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