$imul-Grading


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$imul-Grading enables users to simulate the impact on market revenue of a change in slaughter data characteristics. Users can import their own data or generate data to obtain a realistic distribution of slaughter data. Among other things, this data generation is used to study different levels of average lean yield.

By selecting a given grading grid and the payment of a premium (or not), based on reaching a minimum weight, users obtain an estimate of market revenue for the slaughter data in question. Users can also change the average weight at depopulation and so simulate the impact of weight change on market revenue. It is also possible to compare the difference between the margins (feeding costs-market revenue) obtained according to different slaughter weights compared to a reference weight.

Instructions to the user
If you are interested to get to know this simulator and get the basic instructions for its use, please contact Patrick Gagnon, 418 650-2440, ext. 4311.

Conception
$IMUL- Grading was designed by Joel Rivest, Ph.D., analyst.

The $IMUL-Lysine and $IMUL-Grading tools were developed as part of a study by CDPQ on the interaction between the breeding scheme and feed type to identify strategies that improve the profitability of swine operations.




A portion of the funding for this project was provided through the Quebec, Ontario and Saskatchewan sector councils that carry out the Canadian Agricultural Adaptation Program (CAAP) on behalf of Agriculture and Agri-Food Canada.