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Journal of Heredity Advance Access published online on November 4, 2008
Journal of Heredity, doi:10.1093/jhered/esn096
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© The American Genetic Association. 2008. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org.

Brief Communication

Putative Quantitative Trait Loci Associated with Calcium Content in Soybean Seed

Bo Zhang, Pengyin Chen, Ainong Shi, Anfu Hou, Tetsuaki Ishibashi, and Dechun Wang

From the Department of Crop, Soil, and Environmental Sciences, 115 Plant Science Building, University of Arkansas, Fayetteville, AR 72701 (Zhang, Chen, Shi, Hou, and Ishibashi) and the Department of Crop and Soil Sciences, A384-E Plant and Soil Science Building, Michigan State University, East Lansing, MI 48824 (Wang). A. Hou is now at the Agriculture and Agri-Food Canada, Unit 100-101 Route 100, Morden, Manitoba R6M 1Y5, Canada

Address correspondence to P. Chen at the address above, or e-mail: pchen{at}uark.edu.

Seed calcium content is an important quality attribute of specialty soybean [Glycine max (L.) Merr.] for soyfoods. However, analyzing seed for calcium content is time consuming and labor intensive. Knowing quantitative trait loci (QTL) for seed calcium will facilitate the development of elite cultivars with proper calcium content through marker-assisted selection (MAS). The objective of this study was to identify major QTL associated with calcium content in soybean seed. Calcium content was tested in 178 F2:3 and 157 F2:4 lines derived from the cross of SS-516 (low calcium) x Camp (high calcium). The F2:3 lines were genotyped with 148 simple sequence repeat markers in a previous study on seed hardness, and the genotypic data were used in the QTL analysis of the current study. Four QTL designated as Ca1, Ca2, Ca3, and Ca4 on linkage groups (LGs) A2, I, and M were identified by both single-marker analysis and composite-interval mapping, and the QTL accounted for 10.7%, 16.3%, 14.9%, and 9.7% of calcium content variation, respectively. In addition, multiple-interval mapping analysis revealed a significant dominant-by-dominant interaction effect between Ca1 and Ca3, which accounted for 4.3% calcium content variation. These QTL will facilitate the implementation of MAS for calcium content in soybean-breeding programs.

Key Words: calcium • quantitative trait loci • soybean (Glycine max)

Corresponding Editor: Reid Palmer

Received May 29, 2008
Revised September 26, 2008
Accepted October 2, 2008


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