Fuzzy assessment of herbicide resistance risk: Glyphosate-resistant johnsongrass, Sorghum halepense (L.) Pers., in Argentina's croplands

Ferraroa, D.O. and Ghersa, C.M. (2013) Fuzzy assessment of herbicide resistance risk: Glyphosate-resistant johnsongrass, Sorghum halepense (L.) Pers., in Argentina's croplands. Crop Protection, 51. pp. 32-39.

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Abstract

A fuzzy-logic based model was built in order to assess the relative influence of different ecological and management drivers on glyphosate resistance risk (GRR) in Sorghum halepense (L.) Pers. The model was hierarchically structured in a bottom-up manner by combining 16 input variables throughout a logical network. Input data were related to 1) herbicide usage, 2) crop rotation, 3) landscape characterization, 4) weed dispersal, and 5) mean maximum and minimum seasonal temperature. Mean maximum and minimum seasonal temperatures and the dominance of glyphosate use were the variables that showed the highest sensitivity to input changes. Application of the model at a regional scale resulted in a wide range of GRR values. The lowest range values (lower than 0 and between 0 and 0.25) were represented in 5.5% and 21.5% of the cropping area, respectively. Intermediate GRR range (between 0.25 and 0.5) were assessed in 57.3% of the cropping area whilst the highest GRR range values (0.5–0.7) were represented in only 15.6% of the studied area. The assessment of trade-offs between different ecosystem functions through expert opinion can complement traditional analyses for predicting herbicide resistance risk based on solely the genetic aspect of the evolutionary process.

Item Type: Article
Uncontrolled Keywords: Herbicide resistance; Fuzzy logic; Risk modeling
Author Affiliation: Cátedra de Cerealicultura, IFEVA, Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Av. San Martín 4453, Buenos Aires 1417DSE, Argentina
Subjects: Plant Production
Crop Improvement
Divisions: Sorghum
Depositing User: Mr. SanatKumar Behera
Date Deposited: 22 May 2013 04:56
Last Modified: 22 May 2013 04:56
Official URL: http://dx.doi.org/10.1016/j.cropro.2013.04.004
URI: http://eprints.icrisat.ac.in/id/eprint/10593

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