Author
LEE, SUNGWOO - The Ohio State University | |
JUN, TAE-HWAN - Pusan National University | |
MICHEL, ANDREW - The Ohio State University | |
Mian, Rouf |
Submitted to: Euphytica
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 9/4/2014 Publication Date: 9/13/2014 Publication URL: http://handle.nal.usda.gov/10113/61405 Citation: Lee, S., Jun, T., Michel, A.P., Mian, R.M. 2014. SNP markers linked to QTL conditioning plant height, lodging, and maturity in soybean. Euphytica. 203:521-532. Interpretive Summary: Soybean (Glycine max L. Merr.) is the second most important row crop in USA and a leading source of protein meal and edible oil worldwide. Plant height (PHT), lodging (LDG), and days to maturity (MAT) are three important agronomic traits that influence the seed yield of soybean. The objective of this study was to map quantitative trait loci (QTL) for PHT, LDG and MAT using a high density single nucleotide polymorphism (SNP) map of a recombinant inbred line (RIL) soybean mapping population. The phenotypic data were collected in two different years with two replicates each. With single factor analysis of variance (ANOVA) 16, 16, and 11 QTL were identified for PHT, LDG, and MAT, respectively. Majority of these QTL were identified across environments. Several QTL for each trait were also detected by composite interval mapping (CIM) with high confidence. Two, three and one QTL for PHT, LDG, and MAT were novel QTL identified in this study. However, this study confirmed other previously reported QTL with high confidence. Additionally, most QTL identified in the present study are flanked by two or more SNP markers that are closely linked (within 1 to 5 cM) to each QTL. The SNP markers identified to be closely linked to each QTL in this study are valuable for MAS of the QTL by interested soybean breeding programs. Thus, this study clearly advances the knowledge on the genetic control of plant height, lodging and maturity in soybean, and identifies more efficient and reliable markers for marker assisted selection (MAS) for these traits than those currently exist. The results of this study have the potential to make soybean breeding for these traits more efficient. Technical Abstract: Soybean (Glycine max L. Merr.) is a major crop and a leading source of protein meal and edible oil worldwide. Plant height (PHT), lodging (LDG), and days to maturity (MAT) are three important agronomic traits that influence the seed yield of soybean. The objective of this study was to map quantitative trait loci (QTL) for PHT, LDG and MAT using a high density SNP map of a recombinant inbred line (RIL) soybean mapping population. The phenotypic data were collected in two different years with two replicates each. With single factor analysis of variance (ANOVA) 16, 16, and 11 QTL were identified for PHT, LDG, and MAT, respectively. Majority of these QTL were identified across environments. Several QTL for each trait were also detected by composite interval mapping (CIM) with high confidence. Two, three and one QTL for PHT, LDG, and MAT were novel QTL identified in this study. However, this study confirmed other previously reported QTL with high confidence. Additionally, most QTL identified in the present study are flanked by two or more SNP markers that are closely linked (within 1 to 5 cM) to each QTL. The SNP markers identified to be closely linked to each QTL in this study are valuable for MAS of the QTL by interested soybean breeding programs. Thus, this study clearly advances the knowledge on the genetic control of plant height, lodging and maturity in soybean, and identifies more efficient and reliable markers for marker assisted selection (MAS) for these traits than those currently exist. |