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Validation of HERB for Use in Peanut (Arachis hypogaea)

Published online by Cambridge University Press:  12 June 2017

Anthony D. White  and
Harold D. Coble
Anthony D. White
Affiliation:
Department of Crop Science, North Carolina State University, Raleigh, NC 27695
Harold D. Coble
Affiliation:
Department of Crop Science, North Carolina State University, Raleigh, NC 27695
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Abstract

Researchers are currently developing predictive weed management models to aid producers in maintaining or improving economic profitability of peanut production while minimizing herbicide inputs and reducing environmental impact. HERB (Version 2.1.P), a computer decision model, has recently been developed for peanut and is now awaiting validation of weed control decisions before being released to the public. Field validation trials in 1994 and 1995 indicate that the current competitive index parameters in the HERB model are invalid, and statistically estimated competitive indices were generated. Estimating new parameters improved R 2 values from 0.37 to 0.61. New competitive index parameters allow the HERB model to more accurately predict the level of yield loss at a given weed density.

Keywords

Peanut, Arachis hypogaea L. ‘NC-10C’Computer decision modelcrop competitionCI, competitive indexCL, competitive loadDL, given weed densityHERB, computerized economic threshold decision modelNi, number of weed species per unit areaPOST, postemergenceTCL, total competitive load
Type
Research
Information
Weed Technology , Volume 11 , Issue 3 , September 1997 , pp. 573 - 579
Copyright
Copyright © 1997 by the Weed Science Society of America 

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