NDLI: 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

Content Provider	Springer Nature Link
Author	Schwegler, Diana D. Gowda, Manje Schulz, Britta Miedaner, Thomas Liu, Wenxin Reif, Jochen C.
Copyright Year	2014
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.
Starting Page	205
Ending Page	215
Page Count	11
File Format	PDF
ISSN	13803743
Journal	Molecular Breeding
Volume Number	34
Issue Number	1
e-ISSN	15729788
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-01-29
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Genotypic correlations Testcross performance Line per se performance Sugar beet Multiple-line cross QTL mapping Plant Sciences Plant Genetics & Genomics Plant Pathology Plant Physiology Biotechnology
Content Type	Text
Resource Type	Article
Subject	Genetics Plant Science Molecular Biology Biotechnology Agronomy and Crop Science

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