Skip to main content
ARS Home » Southeast Area » Stoneville, Mississippi » Crop Genetics Research » Research » Publications at this Location » Publication #188256
Title: MOLECULAR MARKER DIVERSITY OF SCN RESISTANT SOURCES IN SOYBEAN

Author
item CHEN, YIWU - MICHIGAN STATE UNIVERSITY
item EBRAHIMI, MOHSEN - MICHIGAN STATE UNIVERSITY
item Arelli, Prakash
item WANG, DECHEEN - MICHIGAN STATE UNIVERSITY

Submitted to: American Society of Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 10/8/2005
Publication Date: 11/8/2005
Citation: Chen, Y., Ebrahimi, M., Arelli, P.R., Wang, D. 2005. Molecular marker diversity of scn resistant sources in soybean. American Society of Agronomy Abstracts.T Vol. 1: (2005) 90-91

Interpretive Summary:

Technical Abstract: Worldwide, soybean cyst nematode (Heterodera glycines Ichinohe) is one of the most destructive pests on soybean [Glycine max (L.) Merr.]. Developing cultivars with resistance to SCN is a most effective strategy to manage the pest. Cultivars with resistance have been developed and used in soybean production. However, existing resistant cultivars have a narrow genetic base. Nematodes usually adapt and overcome the resistance in the cultivars. Over 100 nematode resistance sources have been identified but little is known about their genetic background. Objectives were to evaluate genetic variation and determine the genetic relationships among nematode resistance sources. One hundred and twenty-two genotypes including germplasm accessions and cultivars have been evaluated by simple sequence repeat markers (SSR). Eighty-five SSR primer pairs from 20 Linkage Groups with some known nematode QTL Loci were employed. Nonhierarchical (VARCLUS) and hierarchical (Ward’s) clusting were combined with multidimensional scaling (MSD) to determine relationships among tested lines. The 85 SSR primer pairs produced 566 allelic fragments among 122 tested genotypes with a mean of 3.5 PIC value. Both clustering methods produced similar results. MDS results also supported the data. In conclusion, the clusters were dominated by genotypes that possess one or more unique genes.