Abstract
Repeated use of a herbicide or herbicides with the same mode of action on a particular crop over a number of years may cause the selection of herbicide resistant weed populations. As a result effective weed control is lost which can seriously affect crop yield and quality. The selection of herbicide resistant weed populations is a concern not only for crop-growers, but also the manufacturers of the affected herbicides. In the present paper a two-step procedure is developed to identify the herbicide resistant activity in a particular crop growing region by estimating the resistant areas (in acres/hectares) in a given year of herbicide continued treatment along with percent risk of detecting herbicide resistance. A computer aided treatment area dynamics model (TADM) for estimating resistant areas, and a multistage model for estimating risk of herbicide resistance are discussed. An example is presented at the end to illustrate the two-step procedure.
Keywords
treatment area dynamics, rotational pattern, risk, multistage model
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Sinha, Agam N. and Shaner, Dale L.
(1992).
"STUDYING HERBICIDE RESISTANCE USING TREATMENT AREA DYNAMICS MODEL,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1392
STUDYING HERBICIDE RESISTANCE USING TREATMENT AREA DYNAMICS MODEL
Repeated use of a herbicide or herbicides with the same mode of action on a particular crop over a number of years may cause the selection of herbicide resistant weed populations. As a result effective weed control is lost which can seriously affect crop yield and quality. The selection of herbicide resistant weed populations is a concern not only for crop-growers, but also the manufacturers of the affected herbicides. In the present paper a two-step procedure is developed to identify the herbicide resistant activity in a particular crop growing region by estimating the resistant areas (in acres/hectares) in a given year of herbicide continued treatment along with percent risk of detecting herbicide resistance. A computer aided treatment area dynamics model (TADM) for estimating resistant areas, and a multistage model for estimating risk of herbicide resistance are discussed. An example is presented at the end to illustrate the two-step procedure.
