Glyphosate# resistance evolution can now be simulated for Northern Region (NR) weeds. We adjusted the proven APSIM crop model and added a new weed module to simulate genetics, mating and seedbank dynamics. Although the model is generic, it was parameterised for barnyard grass and validated using historical data on the first confirmed glyphosate resistance in this weed. The model identifies risk levels for different NR agronomic and weed control practices. It also quantifies the relative merits of different preventive tactics, which greatly assist the development of effective strategies to reduce resistance risk. The project developed and promoted a simple risk assessment tool for growers to identify glyphosate resistance risk
A population-based model was developed to simulate the evolution of glyphosate resistance in populat...
Glyphosate resistance will have a major impact on current cropping practices in glyphosate-resistant...
Glyphosate-resistant (GR) crops represent more than 80% of the 120 million ha of transgenic crops gr...
BACKGROUND: A simulation model is used to explore the influence of biological, ecological, genetic a...
The threat and management of glyphosate# resistant weeds are major issues facing northern region gro...
Background and Aims: The evolution of resistance to herbicides is a substantial problem in contempor...
The definitive version may be found at www.wiley.comBackgroundGlyphosate-resistant cotton varieties ...
BACKGROUND: Glyphosate-resistant cotton varieties are an important tool for weed control in Australi...
Glyphosate-resistant (GR) weeds have been a prime challenge to the sustainability of GR cotton-based...
EASPEGESTADSUPDATINRACT1EJ2 INRAHerbicide-tolerant (HT) crops such as those tolerant to glyphosate s...
Glyphosate resistance is a rapidly developing threat to profitability in Australian cotton farming. ...
The introduction of glyphosate resistance into Australian cotton systems will have an effect on conv...
Abstract: This paper describes efforts to validate a model of glyphosate resistance in awnless barny...
The weeds identified at risk of developing glyphosate# resistance in the northern grains region incl...
A simulation model is used to explore management options to mitigate risks of glyphosate resistance ...
A population-based model was developed to simulate the evolution of glyphosate resistance in populat...
Glyphosate resistance will have a major impact on current cropping practices in glyphosate-resistant...
Glyphosate-resistant (GR) crops represent more than 80% of the 120 million ha of transgenic crops gr...
BACKGROUND: A simulation model is used to explore the influence of biological, ecological, genetic a...
The threat and management of glyphosate# resistant weeds are major issues facing northern region gro...
Background and Aims: The evolution of resistance to herbicides is a substantial problem in contempor...
The definitive version may be found at www.wiley.comBackgroundGlyphosate-resistant cotton varieties ...
BACKGROUND: Glyphosate-resistant cotton varieties are an important tool for weed control in Australi...
Glyphosate-resistant (GR) weeds have been a prime challenge to the sustainability of GR cotton-based...
EASPEGESTADSUPDATINRACT1EJ2 INRAHerbicide-tolerant (HT) crops such as those tolerant to glyphosate s...
Glyphosate resistance is a rapidly developing threat to profitability in Australian cotton farming. ...
The introduction of glyphosate resistance into Australian cotton systems will have an effect on conv...
Abstract: This paper describes efforts to validate a model of glyphosate resistance in awnless barny...
The weeds identified at risk of developing glyphosate# resistance in the northern grains region incl...
A simulation model is used to explore management options to mitigate risks of glyphosate resistance ...
A population-based model was developed to simulate the evolution of glyphosate resistance in populat...
Glyphosate resistance will have a major impact on current cropping practices in glyphosate-resistant...
Glyphosate-resistant (GR) crops represent more than 80% of the 120 million ha of transgenic crops gr...