Title
MODELING AND DESIGN TO DETECT INTERACTION OF INSECTICIDES, HERBICIDES AND OTHER SIMILAR COMPOUNDS
Abstract
This paper discusses model and experimental design aspects of agricultural studies aimed at discerning antagonism or synergy between two or more insecticides, herbicides, or other similar compounds. The developed methods involve a broad class of generalised nonlinear models, which are easily fitted to data using popular statistical packages such as the NLMIXED procedure in SAS® software. Sample computer code is given in the Appendix.
Keywords
antagonism, combination index, experimental design, generalized nonlinear models, isobolograms, optimal design, phenolic acids, synergy
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
O'Brien, Timothy E.
(2003).
"MODELING AND DESIGN TO DETECT INTERACTION OF INSECTICIDES, HERBICIDES AND OTHER SIMILAR COMPOUNDS,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1194
MODELING AND DESIGN TO DETECT INTERACTION OF INSECTICIDES, HERBICIDES AND OTHER SIMILAR COMPOUNDS
This paper discusses model and experimental design aspects of agricultural studies aimed at discerning antagonism or synergy between two or more insecticides, herbicides, or other similar compounds. The developed methods involve a broad class of generalised nonlinear models, which are easily fitted to data using popular statistical packages such as the NLMIXED procedure in SAS® software. Sample computer code is given in the Appendix.
