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Automated Single Kernel Sorting for Enhancing Grain Quality in Breeding Lines

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2007 ASAE Annual Meeting  073059.(doi:10.13031/2013.23179)
Authors:   Floyd E Dowell, P Stephen Baenziger, Elizabeth B Maghirang
Keywords:   Grain, single-kernel, NIR, near-infrared, spectroscopy, quality, grading, inspection, sorting

We developed automated visible and near-infrared (NIR) spectroscopy procedures and instrumentation to select kernels with specific hardness, amylose content, protein content, and color traits to enhance the development of wheat breeding lines. The system also shows potential to sort for other characteristics such as scab damage, vomitoxin levels, ergosterol levels, vitreousness, sprout damage, moisture content, selenium content, and Karnal bunt-infected kernels. Our single kernel near-infrared system can sort single kernels based on specified properties at a rate of about one kernel/2s (500-1000g/day). We also have high-speed sorting technology that can sort visible defects at rates as high as 80,000 kernels/s (300 bu/hr). While most of our work has been with wheat, we have also shown applications for proso millet, barley, rice, and sorghum.

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