A biophysical model is used to simulate the performance of ten continuous and rotational beef-forage grazing systems over a multiple-year period using historical weather-data. The impact of weather variability on expected animal weight gain and net returns are assessed. Risk-efficient rotational grazing strategies are identified for six risk intervals using generalized stochastic dominance
Considerable uncertainties, especially those relating to the weather, are present among Australian g...
Typescript (photocopy).Uncertain forage production created by variation in climatic conditions and e...
Livestock grazing is the most important type of land-use in arid and semi-arid regions. In these reg...
A biophysical model, GRAZE, is used to simulate beef forage performance for stocker steers pastured ...
Currently France wants to introduce a weather risk management framework into its agricultural policy...
Cattle producers' risk ensuing from uncertain environmental conditions was quantified using a stocha...
Typescript (photocopy).Of all the problems that confront agriculture perhaps the unpredictability of...
Recommended strategies for dealing with drought include maintaining a conservative stocking rate, ma...
Beef production drives a significant proportion of Australia's agricultural economy, representing AU...
A unique approach using a biophysical growth model from the animal science literature is used to exa...
Forage production variability is incorporated into a decision theory framework for a beef producer i...
Climatic variability is a major constraint to improved productivity and profitability in dryland gra...
Stochastic simulation is used to analyze the effects of weather and output price risks on feeder cat...
Four different grazing systems: two rotational systems, a continuous grazing system, and a modified ...
Semi-arid regions in the Sahel have faced increasing environmental pressure due to population growth...
Considerable uncertainties, especially those relating to the weather, are present among Australian g...
Typescript (photocopy).Uncertain forage production created by variation in climatic conditions and e...
Livestock grazing is the most important type of land-use in arid and semi-arid regions. In these reg...
A biophysical model, GRAZE, is used to simulate beef forage performance for stocker steers pastured ...
Currently France wants to introduce a weather risk management framework into its agricultural policy...
Cattle producers' risk ensuing from uncertain environmental conditions was quantified using a stocha...
Typescript (photocopy).Of all the problems that confront agriculture perhaps the unpredictability of...
Recommended strategies for dealing with drought include maintaining a conservative stocking rate, ma...
Beef production drives a significant proportion of Australia's agricultural economy, representing AU...
A unique approach using a biophysical growth model from the animal science literature is used to exa...
Forage production variability is incorporated into a decision theory framework for a beef producer i...
Climatic variability is a major constraint to improved productivity and profitability in dryland gra...
Stochastic simulation is used to analyze the effects of weather and output price risks on feeder cat...
Four different grazing systems: two rotational systems, a continuous grazing system, and a modified ...
Semi-arid regions in the Sahel have faced increasing environmental pressure due to population growth...
Considerable uncertainties, especially those relating to the weather, are present among Australian g...
Typescript (photocopy).Uncertain forage production created by variation in climatic conditions and e...
Livestock grazing is the most important type of land-use in arid and semi-arid regions. In these reg...