2013
Nested Association Mapping to Identify Yield QTL in Diverse High Yielding Elite Soybean Lines – Continued Evaluation (Year 2 of 2241)
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
(none assigned)
Lead Principal Investigator:
Brian Diers, University of Illinois at Urbana-Champaign
Co-Principal Investigators:
Katy M Rainey, Purdue University
George Graef, University of Nebraska
James Specht, University of Nebraska
Perry Cregan, USDA/ARS-Beltsville Agricultural Research Center
+3 More
Project Code:
1320-532-5641
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Unique Keywords:
#breeding & genetics, #soybean composition, #soybean gene expression, #soybean gene mapping, #soybean yield
Information And Results
Final Project Results

Achieving the objectives
• Collaboration among USB, QSSBs and regional checkoff programs resulted in the completion of field analysis and genotyping of the 5,600 NAM lines across multiple locations. Evaluation of this many lines in field trials are a huge undertaking, but are necessary for successful identification of key genes controlling yield and composition.
• A total of 5,303 unique SNP markers that were effective in identifying genetic differences among the 5,600 NAM lines were identified.
• Groups of genes (QTL) associated with yield were identified on 17 of the 20 soybean chromosomes
• A selection procedure for identifying ideal parents to produce maximum yield is being developed and tested.

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.