ACTA AGRICULTURAE BOREALI-SINICA ›› 2020, Vol. 35 ›› Issue (3): 79-86. doi: 10.7668/hbnxb.20190471

Special Issue: Oil crops

• Crop Genetics·Germplasm Resources·Biotechnology • Previous Articles     Next Articles

QTL Identification of Yield-related Traits Using Four-way Recombinant Inbred Population in Soybean

WANG Yanshu1, TIAN Yu1, ZHANG Jianan1, XU Shichao1, DONG Quanzhong2, LI Wenbin1, LI Wenxia1, NING Hailong1   

  1. 1. Agronomy College, Northeast Agricultural University, Key Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding(Genetics), Ministry of Agriculture, Harbin 150030, China;
    2. Keshan Branch of Heilongjiang Academy of Agricultural Sciences, Keshan 161606, China
  • Received:2019-12-22 Published:2020-06-28

Abstract: The purpose of this study was to explore the correlation between soybean yield and yield-related such as plant height, main stem node number, pod number per plant, seed number per plant and 100-seed weight and to localize QTLs for controlling these traits so as to improve soybean yield.This experiment, the four-way recombinant inbred line population(FW-RIL)with 160 lines derived from four soybean parents (Kenfeng 14×Kenfeng 15)×(Heinong 48×Kenfeng 19) with significant difference in yield-related characters was used as materials and planed in Harbin (2013-2015) and Keshan (2013,2015). Obtaining phenotypic data of plant height, main stem node number,pod number per plant, seed number per plant, 100-seed weight combined with constructed genetic map containing 275 SSR markers to map QTL for yield-related traits. Experimental results showed that 28 yield-related QTLs were detected repeatedly in multi-environments and 10 of them were plant height QTLs, phenotypic variation explained was between 3.20% and 11.72%. Three main stem node number QTLs, phenotypic variation explained was 6.55%,5.70%,3.77% respectively. Nine pod number per plant QTLs, phenotypic variation explained was between 2.60% and 11.25%. Four 100-seed weight QTLs, phenotypic variation explained was between 3.83% and 9.35%.Two seed number per plant QTLs, phenotypic variation explained was 8.58%,7.52% respectively.28 repeated detected yield traits QTLs were located,16 new yield-related QTLs were detected and 12 of them were consistent with the QTLs for yield-related traits reported at home and abroad, indicating a high accuracy of QTLs detection. Using molecular marker genetic map to locate QTLs for controlling yield-related traits provides a powerful means for using molecular marker to improve soybean yield potential.

Key words: Soybean, Yield, QTL mapping, Four-way recombinant inbred population

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Cite this article

WANG Yanshu, TIAN Yu, ZHANG Jianan, XU Shichao, DONG Quanzhong, LI Wenbin, LI Wenxia, NING Hailong. QTL Identification of Yield-related Traits Using Four-way Recombinant Inbred Population in Soybean[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2020, 35(3): 79-86. doi: 10.7668/hbnxb.20190471.

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