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Acta Agron Sin ›› 2015, Vol. 41 ›› Issue (10): 1481-1489.doi: 10.3724/SP.J.1006.2015.01481

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Genetic Analysis of Yield-Associated Traits by Unconditional and Conditional QTL in Brassica napus

JIAO Cong-Cong1,2,HUANG Ji-Xiang2,WANG Yi-Long3,ZHANG Xiao-Yu4,2,XIONG Hua-Xin1,2,NI Xi-Yuan2,ZHAO Jian-Yi2,*   

  1. 1 College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321000, China; 2 Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; 3 Shanghai Generay Biotech Co., Ltd, Shanghai 201619, China; 4 College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310036, China
  • Received:2015-02-11 Revised:2015-06-01 Online:2015-10-12 Published:2015-10-12
  • Contact: 赵坚义，E-mail: jyzhao3@yahoo.com, Tel: 0571-86403406jiaodacong@126.comjiaodacong@126.com E-mail:jiaodacong@126.com

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Abstract:

Quantitative Trait Loci (QTLs) for silique length (SL) were mapped in the updated SG map using the phenotypic data from nine environments. QTLs with additive and epistatic effects and their interactions with environments were estimated. At QTL level, conditional QTL analysis was performed to dissect the genetic relationships between silique length and seed number per silique (SS), and between silique length and 1000-seed weight (SW). Our goal was to identify QTLs that are important for silique length, as indexed by their positive correlations with either seeds per silique or 1000-seed weight, or both of the traits. Markers linked to the target QTL can be developed for indirect selection of SS and SW. As shown by the results, we detected eight QTLs with additive effects, which together accounted for around 60% of the phenotypic variations. While the total effects of eight pairs of epistatic loci (additive × additive) ranged from 0.035 to 0.075 cm and their summation was 38% of the total additive effects. QTL by environmental interactions were significant only in few environments with small amount of genetic effects. The conditional QTL analysis revealed large impact of silique length on seed number per silique in three QTLs (qSLA2, qSLC1-2, and qSLC8-1). Allelic selection for long silique length in qSLA7, qSLC1-2, qSLC8-1, and qSLC8-2 loci could potentially increase the seed number per silique (SS) and 1000-seed weight (SW). Association analysis between genotypes linking to six related QTLs and the corresponding phenotypes of yield related traits indicated that the combination of long silique alleles from four QTLs (qSLA2, qSLA7, qSLC8-1, and qSLC8-2) by marker assistant selection of ZAAS423, SUC1-3, ZAAS12a, ZAASA7-28, ZAAS433, and ZAAS437 significantly increased about two cm in silique length. Meanwhile, two additional seeds per silique were increased, and the 1000-seed weight was enhanced by 0.4 g. Taken together, we suggest the importance of these QTLs and markers for yield breeding purpose in Brassica napus.

Key words: Brassica napus L., Silique length, Seed number per silique, 1000-seed weight, Unconditional QTL, conditional QTL

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