1999
DOI: 10.1016/s0160-4120(99)00051-3
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Optimizing rotational grazing in sheep management systems

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Cited by 10 publications
(2 citation statements)
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“…The wholefarm simulation model of a grazed sheep enterprise described by Cacho et al (1995) may well provide a useful template as it not only considers the balance between pasture supply and animal demand in terms of ME, but it also takes into account many of the factors encountered in the Cicerone farmlet experiment, including the need to allow for flexibility in paddock subdivisions, pasture growth, fodder conservation, the movement of animal mobs between paddocks and of animals between mobs, animal growth and reproduction. Also, Barioni et al (1999) have provided an example of the value of using a modelling approach based on a genetic algorithm to optimise grazing within whole-farm systems. There would of course be additional value if the risk associated with alternative management options could also be assessed as described by Cacho et al (1999).…”
Section: Discussionmentioning
confidence: 99%
“…The wholefarm simulation model of a grazed sheep enterprise described by Cacho et al (1995) may well provide a useful template as it not only considers the balance between pasture supply and animal demand in terms of ME, but it also takes into account many of the factors encountered in the Cicerone farmlet experiment, including the need to allow for flexibility in paddock subdivisions, pasture growth, fodder conservation, the movement of animal mobs between paddocks and of animals between mobs, animal growth and reproduction. Also, Barioni et al (1999) have provided an example of the value of using a modelling approach based on a genetic algorithm to optimise grazing within whole-farm systems. There would of course be additional value if the risk associated with alternative management options could also be assessed as described by Cacho et al (1999).…”
Section: Discussionmentioning
confidence: 99%
“…Computer simulation may aid managers to compare prospects besides providing an objective way to define expected levels of performance for each scenario in livestock production. Several predictive computer models have been successfully delivered as planning tools for livestock production either through scenario analysis [20,25] or optimization [3,52,16]. They may provide the best expected trajectories of indicators of a system performance prior to the implementation of the plan but they will rarely be a satisfactory match to the actual systems behavior, so monitoring and controlling are needed [44].…”
Section: Literature Review 21 Beef Production Managementmentioning
confidence: 99%