ACTA AGRICULTURAE BOREALI-SINICA ›› 2019, Vol. 34 ›› Issue (4): 90-95. doi: 10.7668/hbnxb.20190125

Special Issue: Oil crops

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

QTL Mapping and Integration for Pod Number Per Plant in Soybean

YANG Yuhua1, BAI Zhiyuan1, ZHANG Ruijun1, WEI Yichao2, WEI Baoguo1   

  1. 1. Institute of Crop Germplasm Resources, Shanxi Academy of Agricultural Sciences, Key Laboratory of Crop Gene Resources and Germplasm Enhancement on Loess Plateau, Ministry of Agriculture, Shanxi Key Laboratory of Genetic Resources and Genetic Improvement of Minor Crops, Taiyuan 030031, China;
    2. Institute of Agricultural Resources & Economics, Shanxi Academy of Agricultural Sciences, Taiyuan 030006, China
  • Received:2019-03-07 Published:2019-08-28

Abstract: Pod number per plant is one of the most important factors of the yield in soybean, and shows extensive variation in soybean natural germplasm, which is valuable for genetic improvement, and these results will facilitate the development of high-yield cultivars in soybean. To improve breeding efficiency on pod number improvement, we conducted QTL mapping by using the F2 population and its two parental C025 and JD18, which showed significant difference in pod number per plant. A total of 33 QTLs for pod number per plant were identified using F2 population with a high-density SSR linkage map, explained 0.2% -56.4% of phenotypic variance. Then, 23 identified QTLs were integrated by the meta-analysis, five QTLs(qPN.C2-3, qPN.I, qPN.C2-4, qPN.C1 and qPN.L)were identical to other studies, which were on C2, N and C1 chromosome, whereas the other 18 QTLs(qPN.D1a, qPN.N, qPN.C2-1, qPN.C2-2, qPN.M, qPN.A2-1, qPN.A2-2, qPN.K, qPN.O-1, qPN.O-2, qPN.B1, qPN.F, qPN.B2, qPN.E, qPN.J, qPN.D2-1, qPN.D2-2, qPN.G)should be novel. qPN.A2-1, qPN.C2-4 and qPN.C1 (R2=56.4%, 29.5% and 35.4%)were detected in the different environments and displayed a large effect. Thus, they can be treated as major QTLs, which has advanced the understanding of pod number per plant. Due to the pod number per plant in soybean is a vulnerable to environmental and the complex quantitative trait, so this study detects some new QTLs and also verify some QTLs which are detected by predecessors, at the same time, integrates pod number per plant QTLs in soybean.

Key words: Soybean, Pod number per plant, QTL, QTL integration

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Cite this article

YANG Yuhua, BAI Zhiyuan, ZHANG Ruijun, WEI Yichao, WEI Baoguo. QTL Mapping and Integration for Pod Number Per Plant in Soybean[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2019, 34(4): 90-95. doi: 10.7668/hbnxb.20190125.

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