Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

108699 Characterization of Cob Structural Integrity, Imagery Analysis, and Biochemical Composition of Corn Hybrids.

Poster Number 511

See more from this Division: C01 Crop Breeding and Genetics
See more from this Session: Crop Breeding & Genetics Poster I (includes graduate student competition)

Monday, October 23, 2017
Tampa Convention Center, East Exhibit Hall

Cody Vavra, Texas A&M AgriLife Research and Extension Center, Texas A&M AgriLife Research, Levelland, TX, Amol Nankar, Texas A&M AgriLife Research and Extension Center, Texas A&M University System, Lubbock, TX, Brendan Kelly, Plant and Soil Science, Texas Tech University, Lubbock, TX, Chris Rock, Biological Sciences, Texas Tech University, Lubbock, TX, Thomas Marek, Texas A&M AgriLife Research and Extension Center, Texas A&M University System, Amarillo, TX and Wenwei Xu, Texas A&M AgriLife Research & Extension Center, Texas A&M University System, Lubbock, TX
Abstract:
Corn cob structural integrity and strength are affected by the presence of biochemical composition and fungal ear rots. In the present study, we described a high-throughput method to measure corn cobs physical strength with a compression instrument and its relationship with the chemical composition of corn cobs.The axial and radial compression strengths were measured with a universal tensile tester with cobs produced at 2, 4, and 6 cm in length and one level of force. This methodology for investigating structural integrity and strength of corn cobs was evaluated. Imagery consisted of four cob sections cut at 0.635 cm and scanned using a HD document scanner and analyzed with imaging software. Correlation between structural integrity of the cobs, cob imagery and chemical composition were evaluated on 20 corn hybrids grown across three different environments of Texas. The results will be presented on the best combination of structural, wet chemistry, and imagery analysis methods that provide an accurate high-throughput method to predict cob structural integrity and biochemical composition.

See more from this Division: C01 Crop Breeding and Genetics
See more from this Session: Crop Breeding & Genetics Poster I (includes graduate student competition)