20th Annual Student Research Conference
Interdisciplinary
Elucidation of Loci Influencing Near-Infrared Reflectance Spectra of Maize Grain Using the IBM Population
Jessica N. Ponder* and Courtney E. Bonney
Dr. Mark Campbell, Dr. Paul M. Scott (Iowa State University), and Dr. Susan A. Duvick (Iowa State University), Faculty Mentors
Investigation into the specific loci that affect grain composition may lead to improvement of quality traits in maize grain. Near-infrared (NIR) spectroscopy, a rapid quantitative method, is commonly used for determining grain components like protein, starch, and oil. Spectral and molecular marker data from the IBM 94 mapping population were integrated to identify loci that influence NIR reflectance spectra, which might lead to the identification of novel genes. A multivariate discriminate analysis program was implemented to determine whether these spectra of ground seed could be used to consistently predict the presence of alleles at individual loci. Several regions of interest have been identified, e.g., the locus csu696, found on chromosome 1, was found to be positively correlated to spectra generated from seed produced each year from 2001 through 2004 (r = 0.63, 0.27, 0.32, and 0.65, respectively). Studies are currently underway to investigate the basis for these allele-dependent spectral variations.
Keywords: maize, NIR, grain, IBM, spectroscopy, PLS1, genetics
Topic(s):Environmental Studies
Presentation Type: Poster
Session: 3-3
Location: OP Lobby
Time: 4:15 pm