An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance
The presence of weeds which have developed resistance to chemical herbicides is a problem of rapidly growing importance in Australian agriculture. We present an optimal control model of herbicide resistance development in ryegrass, the weed for which resistance is most commonly reported. The model is used to select the optimal combination of chemical and non-chemical control measures taking account of the trade off between short term profits and the long term level of herbicide resistance. Results indicate that given the threat of resistance there are benefits from integrating a combination of chemical and non-chemical control measures. The optimal strategy is found to include a declining herbicide dosage as resistance develops, with compensatory increases in the level of non-chemical control.
Volume (Year): 39 (1995)
Issue (Month): 01 (April)
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- D. Hueth & U. Regev, 1974. "Optimal Agricultural Pest Management with Increasing Pest Resistance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(3), pages 543-552.
- Pannell, David J., 1990.
"An Economic Response Model Of Herbicide Application For Weed Control,"
Australian Journal of Agricultural Economics,
Australian Agricultural and Resource Economics Society, vol. 34(03), December.
- David J. Pannell, 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 34(3), pages 223-241, December.
- Regev, Uri & Shalit, Haim & Gutierrez, A. P., 1983. "On the optimal allocation of pesticides with increasing resistance: The case of alfalfa weevil," Journal of Environmental Economics and Management, Elsevier, vol. 10(1), pages 86-100, March.
- C. Robert Taylor & Oscar R. Burt, 1984. "Near-Optimal Management Strategies for Controlling Wild Oats in Spring Wheat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 50-60.
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