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Marker detection and elite allele mining for yield traits in Upland cotton (Gossypium hirsutum L.) by association mapping

Published online by Cambridge University Press:  27 September 2016

C. Q. LI ,
N. DONG ,
Y. Z. FU ,
R. R. SUN  and
Q. L. WANG
C. Q. LI
Affiliation:
School of Life science and Technology, Henan Institute of Science and Technology/Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China
N. DONG
Affiliation:
School of Life science and Technology, Henan Institute of Science and Technology/Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China
Y. Z. FU
Affiliation:
School of Life science and Technology, Henan Institute of Science and Technology/Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China
R. R. SUN
Affiliation:
School of Life science and Technology, Henan Institute of Science and Technology/Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China
Q. L. WANG*
Affiliation:
School of Life science and Technology, Henan Institute of Science and Technology/Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Xinxiang, China
*
*To whom all correspondence should be addressed. Email: [email protected]
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Summary

Association mapping based on linkage disequilibrium is an effective approach for dissecting the inheritance of complex multi-gene traits. In the present study, association mapping was performed for yield traits based on 172 popular Upland cotton (Gossypium hirsutum L.) cultivars in China and 331 polymorphic simple sequence repeat (SSR) markers. The gene diversity index of 331 markers ranged from 0·0387 to 0·7799 with an average of 0·4002, and the polymorphism information content ranged from 0·0379 to 0·7473 with an average of 0·3375. A total of 93 significantly associated markers for seven yield traits were identified across more than one environment, among which 11 were for seed cotton yield, 12 for lint yield, 11 for boll number per plant, 13 for boll weight, 21 for lint percentage, 14 for lint index and 11 for seed index. The corresponding ranges in phenotypic variation explained by markers across four environments for these seven traits were 1·75–10·49, 1·75–9·34, 2·84–11·80, 2·59–9·89, 2·38–13·97, 2·73–14·82 and 2·50–11·88%, respectively. Some of the yield-associated markers detected were found to be linked to or associated with the same traits identified in previous studies. Furthermore, elite alleles for yield traits were also mined. The present study can provide useful information for further understanding the genetic basis of yield traits, and facilitate high-yield breeding by molecular design in Upland cotton.

Type
Crops and Soils Research Papers
Information
The Journal of Agricultural Science , Volume 155 , Issue 4 , May 2017 , pp. 613 - 628
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Copyright
Copyright © Cambridge University Press 2016 

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