Mapping QTL for seed protein and oil content in eight soybean populations

• Published in: Crop science 1997-03, Vol.37 (2), p.370-378
• Main Authors: Brummer, E.C. (Iowa State University, Ames, IA.), Graef, G.L, Orf, J, Wilcox, J.R, Shoemaker, R.C
• Format: Article
• Language: English
• Subjects: ACEITES VEGETALES; Agriculture; Agronomy. Soil science and plant productions; Biological and medical sciences; Biotechnology; CHEMICAL COMPOSITION; Chromosome mapping; COMPOSICION QUIMICA; COMPOSITION CHIMIQUE; CONTENIDO PROTEICO; Fundamental and applied biological sciences. Psychology; GENE; GENE MAPPING; GENES; Genetic aspects; GENETIC MARKERS; Genetics; Genetics and breeding of economic plants; GLYCINE MAX; GRAINE; HUILE VEGETALE; LINKAGE; LOCI; LOCUS; MARCADORES GENETICOS; MARQUEUR GENETIQUE; Oils & fats; Physiological aspects; PLANT OILS; Plant populations; PROTEIN CONTENT; Proteins; QUANTITATIVE TRAIT LOCI; QUANTITATIVE TRAITS; RFLP; SEED OILS; SEEDS; SEMILLA; Soybean; Soybeans; TENEUR EN PROTEINES; Varietal selection. Specialized plant breeding, plant breeding aims; Yield, quality, earliness, varia
• ISSN: 0011-183X; 1435-0653
• DOI: 10.2135/cropsci1997.0011183x003700020011x

Soybean [Glycine max (L.) Merr.] seeds contain high levels of protein and oil useful for human consumption. Increasing emphasis in breeding programs to produce soybeans with specific protein or oil content for specialty markets demands that more efficient manipulation of these traits be achieved. The objective of this study was to evaluate eight different soybean populations from the midwestern USA for genetic markers linked to seed protein and oil content. The populations were derived from the breeding programs at the Univ. of Minnesota, the Univ. of Nebraska, and Purdue Univ.-USDA-ARS. Each population consisted of between 69 and 100 individuals and was mapped with 21 to 85 restriction fragment length polymorphism markers. The F2-derived populations were grown in field tests in 1992, 1993, and 1994 in the state in which they originated. Single factor analysis of variance was used to detect significant associations between markers and traits. Environmentally stable and environmentally sensitive quantitative trait loci (QTL) were identified for both protein and oil contents in all eight populations. The identified QTL were sensitive to both environment and genetic background although some common QTL were identified in multiple populations across several years. The results show that a number of QTL affect these traits and that markers could potentially be used in breeding programs designed to alter the seed protein and oil content