NESTED ASSOCIATION MAPPING TO IDENTIFY SEED COMPOSITION QTL IN DIVERSE SOYBEAN LINES

Soybeans are economically the most important legume grown worldwide. It provides quality protein and oil to food and feed markets in addition to being used for industrial products. The value of soybean could be enhanced by increasing protein, oil, and sucrose contents, while lowering anti-nutritional compounds such as oligosaccharides. Understanding the genetic and environmental factors controlling soybean seed composition is an essential prerequisite for such an endeavor. Three separate studies were initiated to understand the underlying genetics governing soybean seed compositional traits.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Agronomy

Year

2016

Author dc:creator

• Salari, Mohammad Wali

Contributors dc:contributor

• Katy M Rainey
• Mitch Tuinstra
• Shaun N Casteel
• Kevin T McNamara

• Genome Wide Association Study (GWAS)
• Genotype-by-environment interaction (GEI)
• Linkage Disequilibrium (LD)
• Quantitative Trait Loci (QTL)
• Raffinose Family Oligosaccharides (RFOs)
• Soybean [Glycine max (L.)

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1271

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2487