Previous research has shown that historical data and interpolated weather information can be used to correlate environmental and other variables with herbicide efficacy. This article examines this possibility using field experiments and on-site weather data. Clodinafop was applied to Avena spp. (wild oat) infestations on 46 occasions, in eight separate experiments, during 2003-2004 across the grain growing regions of New South Wales, Australia. Linear mixed models and covariate analyses were used to determine correlations of agronomic and environmental variables with clodinafop efficacy on Avena spp., as measured by plant mortality, panicle density and seed production. Clodinafop dose, maximum temperature on the day of spraying, spray water volume, the spray water volume by maximum temperature interaction and available soil moisture at spraying were correlated with mortality. Minimum temperatures prior to spraying, previously reported to be correlated with clodinafop efficacy, were not a significant factor in this study. On-site weather data were highly correlated with interpolated, generic weather data and thus there was little impact on which of these meteorological data sets were used to determine the correlations. This suggests that accessible, generic weather data could be used to develop and implement a predictive model for clodinafop efficacy. The relationship between the variables and Avena spp. mortality were generally supported when applied to panicle density and estimated seed production, with some exceptions.The results indicate that it should be possible to incorporate industry and field data to develop a robust predictive model for Avena spp. control with clodinafop.Keywords: wild oats, multi-site analysis, mixed models, temperature, soil moisture, spray water volume, dose rate.
ANDREWSTS, MEDD RW, VAN DE VEN RJ & PICKERING DI (2007) Field validation of the factors related to clodinafop efficacy on Avena species. Weed Research 47, 15-24.