Understanding Kernel Properties Affecting Masa Based Products with Michael Burns
Enjoy watching the Cereal Innovators webinar from Wednesday, August 10th, 2022! Join us as we hear from Michael Burns, Ph.D. Candidate at the University of Minnesota. Some of the key presentation highlights will include:
Kernel composition is important to a number of different uses of corn, especially in products for human consumption, and is affected by both genetic and environmental factors.
The moisture content of nixtamalized kernels can be predicted by combining near-infrared spectroscopy scans with traditional machine learning techniques, decreasing the quantity of seed and time required to assess moisture content after nixtamalization.
By using a combination of technologies it is possible to predict traits that are of value to breeders and manufacturers, benefit consumers, and decrease the quantity of seed and time required to improve breeding stocks and source material.