Major Gene Identification and Quantitative Trait Locus Mapping for Yield-Related Traits in Upland Cotton (Gossypium hirsutum L.)

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...

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Published inJournal of Integrative Agriculture Vol. 13; no. 2; pp. 299 - 309
Main Authors XIA, Zhe, ZHANG, Xin, LIU, Yang-yang, JIA, Zi-fang, ZHAO, Hai-hong, LI, Cheng-qi, WANG, Qing-lian
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.02.2014
Science Press
Elsevier
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ISSN2095-3119
2352-3425
DOI10.1016/S2095-3119(13)60508-0

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Summary: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).
Bibliography:http://www.chinaagrisci.com/Jwk_zgnykxen/fileup/PDF/2014, 13(2)-299.pdf
http://dx.doi.org/10.1016/S2095-3119(13)60508-0
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ISSN:2095-3119
2352-3425
DOI:10.1016/S2095-3119(13)60508-0