Possible identification of quantitative trait loci affecting iron efficiency in soybean

B. W. Diers, S. R. Cianzio, R. C. Shoemaker

Research output: Contribution to journalArticlepeer-review


Iron (Fe)-deficiency in soybean [Glycine max (L.) Merr.] may cause yield reductions when certain genotypes are planted on 4 calcareous soil. This research was conducted to map quantitative trait loci (QTL) for Fe-efficiency in a set of lines (set 1), and to test these associations in another set of lines of the same population (tester set). The population was formed by crossing a Glycine max experimental line (Fe-inefficient) and a C. soja plant introduction (Fe-efficient). Set 1 was used to construct a restriction fragment length polymorphism (RFLP) linkage map using 272 markers for the analysis. The tester set was developed to check the results obtained from set 1. Iron-efficiency was measured using 13 F2-derived lines of both sets in field plantings on calcareous soils. Set 1 and and the tester set were evaluated over two and one years, respectively. The lines were grown each year at two locations per year, with three replications per 1. Journal Paper J-14675 of the Iowa Agrie, and Home Econ. Exp. Stn., Ames, IA, Project Nos. 2475 and 2763. The work was supported in part by Iowa State Biotechnology Grant No. 480-46-09. location in Iowa. Three markers were significantly (P<0.01) associated with Fe-efficiency in set 1. Two of these markers were linked and explained 31 and 25% of the variation for Fe-efficiency in the population. The other marker explained 17% of the variation. The associations were inconsistent between sets. Several important associations in set 1 were not significant in the tester set. These results indicated that of the 272 molecular markers used, none was associated with the observed variation in Fe-efficiency.

Original languageEnglish (US)
Pages (from-to)2127-2136
Number of pages10
JournalJournal of Plant Nutrition
Issue number10
StatePublished - Oct 1 1992
Externally publishedYes

ASJC Scopus subject areas

  • Physiology
  • Agronomy and Crop Science


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