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United States Department of Agriculture

Agricultural Research Service


item Steddem, Karl
item Jones, David
item Rush, Charles
item Campbell, Larry

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 10/28/2004
Publication Date: 9/1/2005
Citation: Steddem, K., Jones, D.C., Rush, C.M., Campbell, L.G. 2005. Foliage color of beets is a poor predictor of rhizomania [Abstract]. Journal of Sugar Beet Research. 42(1&2):55.

Interpretive Summary:

Technical Abstract: Rhizomania, caused by Beet necrotic yellow vein virus (BNYVV), the sugarbeet growing regions of Minnesota and North Dakota is generally first noticed in the field when patches of beets with yellow foliage are found. We selected three hundred and ninety sugarbeets from resistant and susceptible varieties in rhizomania strip trials. For each beet the roots were tested for BNYVV by ELISA and the foliar spectra were measured with a radiometer. Logistic regression was performed to determine how well foliar spectra could predict the ELISA results. A model using NDVI, a common vegetative index that measures greenness of foliage, correctly classified 67.5 percent of the beets. This indicates a larges percentage of beets had dark green leaves but still tested positive for BNYVV. Past results suggested other vegetative indices may be effective for detecting BNYVV. A stepwise logistic regression model was developed with a number of vegetative indices. This model, using VARI, RGR, and RDVI, correctly classified only 70.2 percent of the beets. These results suggest that yield prediction models using remote sensing methods may have difficulty in fields that have rhizomania.

Last Modified: 08/22/2017
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