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Genotypic correlations and QTL correspondence between line per se and testcross performance in sugar beet (Beta vulgaris L.) for the three agronomic traits beet yield, potassium content, and sodium content

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Abstract

The genotypic correlation between line per se and testcross performance is an important quantitative genetic parameter in the design of hybrid breeding programs. The main goal of this survey was to study the association of line per se and testcross performance at the phenotypic and molecular levels by applying multiple-line cross quantitative trait locus (QTL) mapping. We used experimental data from line per se and testcross performance of three segregating sugar beet (Beta vulgaris L.) populations. The segregating progenies were genotyped with 481 single nucleotide polymorphism and 40 simple sequence repeat markers and evaluated in field trials for beet yield as well as potassium and sodium content. We observed a decrease in the genotypic correlations between testcross and line per se performance with increasing complexity of the analyzed trait. This picture was also reflected at a molecular level by the presence of overlapping QTLs. A more detailed analysis of the forces causing low genotypic correlation between line per se and testcross performance could not rule out a possible relevance of epistasis and suggested the presence of masking dominance effects.

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Acknowledgments

This research was conducted within the Biometric and Bioinformatic Tools for Genomic-based Plant Breeding project of the GABI-FUTURE initiative. D.D. Schwegler was supported by DFG within the project “Genetische Architektur der Eigen- versus Testkreuzungsleistung für wichtige agronomische Merkmale beim Roggen” (Grant ID:MI 519/1-1). M. Gowda was supported by BMBF within the HYWHEAT project (Grant ID: FKZ0315945D).

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Authors and Affiliations

  1. State Plant Breeding Institute, University of Hohenheim, 70593, Stuttgart, Germany

    Diana D. Schwegler, Manje Gowda & Thomas Miedaner

  2. Leibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany

    Jochen C. Reif

  3. Crop Genetics and Breeding Department, China Agricultural University, Beijing, 100193, China

    Wenxin Liu

  4. KWS Saat AG, 37574, Einbeck, Germany

    Britta Schulz

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  1. Diana D. Schwegler
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  2. Manje Gowda
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  4. Thomas Miedaner
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  5. Wenxin Liu
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  6. Jochen C. Reif
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Correspondence to Jochen C. Reif.

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Schwegler, D.D., Gowda, M., Schulz, B. et al. Genotypic correlations and QTL correspondence between line per se and testcross performance in sugar beet (Beta vulgaris L.) for the three agronomic traits beet yield, potassium content, and sodium content. Mol Breeding 34, 205–215 (2014). https://doi.org/10.1007/s11032-014-0030-6

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