RFLP loci associated with soybean seed protein and oil content across populations and locations

• Published in: Theoretical and applied genetics Vol. 93; no. 5/6; pp. 649 - 657
• Main Authors: Lee, S.H, Bailey, M.A, Mian, M.A.R, Carter, T.E. Jr, Shipe, E.R, Ashley, D.A, Parrott, W.A, Hussey, R.S, Boerma, H.R
• Format: Journal Article
• Language: English
• Published: Germany 01.10.1996
• Subjects: chemical constituents of plants; chromosome mapping; genetic markers; genotype-environment interaction; Glycine max; interval mapping; linkage groups; loci; population; protein content; quantitative traits; restriction fragment length polymorphism; seeds; soybean oil; North Carolina; South Carolina; Georgia
• ISSN: 0040-5752; 1432-2242
• DOI: 10.1007/BF00224058

Molecular markers provide the opportunity to identify marker-quantitative trait locus (QTL) associations in different environments and populations. Two soybean [Glycine max (L.) Merr.] populations, 'Young' x PI 416937 and PI 97100 x 'Coker 237', were evaluated with restriction fragment length polymorphism (RFLP) markers to identify additional QTLs related to seed protein and oil. For the Young x PI 416937 population, 120 F4-derived lines were secored for segregation at 155 RFLP loci. The F4-derived lines and two parents were grown at Plains, G.a., and Windblow and Plymouth, N.C. in 1994, and evaluated for seed protein and oil. For the PI 97100 x Coker 237 population, 111 F2-derived lines were evaluated for segregation at 153 RFLP loci. Phenotypic data for seed protein and oil were obtained in two different locations (Athens, G.a., and Blackville, S.C.) in 1994. Based on single-factor analysis of variance (ANOVA) for the Young x PI 416937 population, five of seven independent markers associated with seed protein, and all four independent markers associated with seed oil in the combined analysis over locations were detected at all three locations. For the FI 97 100 x Coker 237 population, both single-factor ANOVA and interval mapping were used to detect QTLs. Using single-factor ANOVA, three of four independent markers for seed protein and two of three independent markers for seed oil were detected at both locations. In both populations, single-factor ANOVA, revealed the consistency of QTLs across locations, which might be due to the high heritability and the relatively few QTLs with large effects conditioning these traits. However, interval mapping of the PI 97100 x Coker 237 population indicated that QTLs identified at Athens for seed protein and oil were different from those at Blackville. This might result from the power of QTL mapping being dependent on the level of saturation of the genetic map. Increased seed protein was associated with decreased seed oil in the PI 97100 x Coker 237 population (r = -0.61). There were various common markers (P less than or equal to 0.05) on linkage groups (LG) E, G, H, K, and UNK2 identified for both seed protein and oil. One QTL on LG E was associated with seed protein in both populations. The other QTLs for protein and oil were population specific.