Molecular Breeding

, Volume 31, Issue 2, pp 279–287

Multiple-line cross quantitative trait locus mapping in sugar beet (Beta vulgaris L.)

  • Diana D. Schwegler
  • Wenxin Liu
  • Manje Gowda
  • Tobias Würschum
  • Britta Schulz
  • Jochen C. Reif


Linkage mapping based on multiple-line crosses is a promising strategy for mapping quantitative trait loci (QTL) underlying important agronomic traits. The main goal of this survey was to study the advantages of QTL mapping across versus within biparental populations using experimental data from three connected sugar beet (Beta vulgaris L.) populations evaluated for beet yield and potassium and sodium content. For the combined analysis across populations, we used two approaches for cofactor selection. In Model A, we assumed identical cofactors for every segregating population. In contrast, in Model B we selected cofactors specific for every segregating population. Model A performed better than Model B with respect to the number of QTL detected and the total proportion of phenotypic variance explained. The QTL analyses across populations revealed a substantially higher number of QTL compared to the analyses of single biparental populations. This clearly emphasizes the potential to increase QTL detection power with a joint analysis across biparental populations.


QTL mapping Epistasis MC-QTL mapping Sugar beet 

Supplementary material

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Supplementary material 1 (DOC 25 kb)
11032_2012_9788_MOESM2_ESM.doc (110 kb)
Supplementary material 2 (DOC 110 kb)
11032_2012_9788_MOESM3_ESM.doc (4.9 mb)
Supplementary material 3 (DOC 5034 kb)


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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Diana D. Schwegler
    • 1
  • Wenxin Liu
    • 2
  • Manje Gowda
    • 1
  • Tobias Würschum
    • 1
  • Britta Schulz
    • 3
  • Jochen C. Reif
    • 1
  1. 1.State Plant Breeding InstituteUniversity of HohenheimStuttgartGermany
  2. 2.Crop Genetics and Breeding DepartmentChina Agricultural UniversityBeijingChina
  3. 3.KWS SAAT AGEinbeckGermany

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