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Euphytica

, Volume 196, Issue 1, pp 137–154 | Cite as

Constitution of resistance to common cutworm in terms of antibiosis and antixenosis in soybean RIL populations

  • Hyunjee Kim
  • Guangnan Xing
  • Yufeng Wang
  • Tuanjie Zhao
  • Deyue Yu
  • Shouping Yang
  • Yan Li
  • Shouyi Chen
  • Reid G. Palmer
  • Junyi Gai
Article

Abstract

Common cutworm (CCW; Spodoptera litura Fabricius) is a major leaf-feeding pest in Asia. The focus of this study was to explore the genetic mechanism for resistance to CCW in terms of antibiosis and antixenosis through mapping QTL (Quantitative trait locus/loci) in soybean using two recombinant inbred line populations. Larva weight (LW) and pupa weight (PW) were evaluated as indicators for antibiosis and damaged leaf percentage as the indicator for antixenosis to CCW. The obvious transgressive segregation indicated a complementary genetic status between the parents. The genetic structure for antibiosis and antixenosis was similar, about 51.1–75.7 % of the phenotypic variation (PV) accounted for by genetic variation, where 42.2–60.3 %, or the majority, was explained by the collective unmapped minor QTL. And, 0–6 additive QTL each explained 0.0–11.8 % in a total of 0.0–27.4 % of PV, and 0–3 epistatic QTL pairs each explained 0.0–7.6 % in a total of 0.0–14.0 % of PV. However, the detected QTL compositions for antibiosis and antixenosis were quite different with only one QTL qCCW10_1 shared by both antibiosis and antixenosis with 8.9–11.8 and 4.7 % contribution to PV, respectively. Within antibiosis between LW and PW, the detected QTL overlapped (r = 0.53–0.78). Among the detected QTL, qCCW6_1, qCCW10_1 and qCCW12_2 were the major contributors to antibiosis, and qCCW10_1, qCCW10_2 and qCCW12_1 the major contributors to antixenosis. Since only some major QTL could be used for marker-assisted breeding, the main concern is how to use the large amount of undetected minor QTL.

Keywords

Antibiosis Antixenosis Common cutworm Recombinant inbred line (RIL) Soybean [Glycine max (L.) Merr.] QTL mapping 

Notes

Acknowledgments

This work was supported by the National Key Basic Research Program of China (2009CB1184, 2010CB1259, 2011CB1093), the National Hightech R & D Program of China (2009AA1011), the Natural Science Foundation of China (31071442, 30900902), the MOA Public Profit Program (200803060), and the MOE 111 Project (B08025).

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Hyunjee Kim
    • 1
  • Guangnan Xing
    • 1
  • Yufeng Wang
    • 1
  • Tuanjie Zhao
    • 1
  • Deyue Yu
    • 1
  • Shouping Yang
    • 1
  • Yan Li
    • 1
  • Shouyi Chen
    • 2
  • Reid G. Palmer
    • 3
  • Junyi Gai
    • 1
  1. 1.Soybean Research Institute, National Center for Soybean Improvement, MOA Key Laboratory for Biology and Genetic Improvement of Soybean (General), National Key Laboratory for Crop Genetics and Germplasm EnhancementNanjing Agricultural UniversityNanjingPeople’s Republic of China
  2. 2.Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingPeople’s Republic of China
  3. 3.Department of AgronomyIowa State UniversityAmesUSA

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