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United States Department of Agriculture

Agricultural Research Service

1 - Modeling Erosion of Particulate Matter
2 - Micro-Quality: Every Kernel Counts
3 - Lincoln company develops new weapon for the weevil wars
4 - Chilly reception runs off unwanted bugs!
5 - ARS, Industry Cooperation Yields Device to Detect Insects in Stored Wheat
6 - Monitoring mold by measuring CO2
7 - Sorter Detects and Removes Damaged Popcorn Kernels
8 - ARS Scientist Wins The Andersons Research Grant Program: Team Competition
9 - How Far Does Dust Travel During a Wind Erosion Event?
10 - Non-Destructive Prediction of Protein, Starch, & Moisture using NIR Spectroscopy
11 - SKCS technology Increases Accuracy Identifying Soft & Hard Wheat Grown in Pacific Northwest
12 - From Granaries to Insectaries: NIR Technology Helps Human Health
13 - Insects Play Hide and Seek in Wheat
14 - Near-Infrared Spectroscopy Detects Honey Bee Queen Insemination
15 - Sensor offers a Promising Means to Determine the Moisture Content of Grain During Storage or Transportation in Cargo Holds
16 - Pulsewaveâ„¢ Technology Reduces Grain to Flour at Lower Energy Costs
Near-Infrared Spectroscopy Detects Honey Bee Queen Insemination


The widespread honey bee colony mortality known as Colony Collapse Disorder may be related to queen fertility and pathogens.  A rapid, non-invasive method for assessing bee fertility and health would be useful in studies of affected bee colonies.  Investigators examined the application of near-infrared spectroscopy to determining queen fertility and the presence of pathogens.  The abdomens of honey bee queens, the heads of worker bees and the ventriculi of worker bees were analyzed by visible and near-infrared spectroscopy.

Mated honey bee queens could be distinguished from virgin queens by their spectra with 100 percent accuracy.  Also, the heads of worker bees taken from the brood nest of a hive had reflectance spectra that differed from those of flying workers taken from the hive entrance.  These spectra could be used with about 85 percent accuracy to predict whether bees were from the brood nest or were flying bees.  However, researchers were not able to determine the severity of Nosema apis infection in worker ventriculi.  This technology can be useful to rapidly and non-destructively determine the honey bee characteristics as scientists attempt to understand the Colony Collapse Disorder phenomenon. 

For more information contact:
Dr. Floyd Dowell at floyd.dowell@ars.usda.gov

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ARS News Articles

Modeling Erosion of Particulate Matter
Aug 05, 2011
ARS, Industry Cooperation Yields Device to Detect Insects in Stored Wheat=
Jun 24, 2010
Norman Borlaug Fellow Presents Results in Costa Rica
Feb 08, 2006
Last Modified: 8/8/2011