Economic and environmental optimization of feed sequence plans in pig fattening unit
Résumé
Pig livestock farming systems face economic and environmental issues. The pig fattening unit is responsible
for most of the feeding cost and nutrient excretion in pig farming. Thus, optimizing the feed sequence plans
of growing-finishing pigs is a way to improve the economic and environmental outputs on a commercial farm.
We developed a model, called PigOptim that optimizes the feed sequence plan of a population of growing
pigs. PigOptim calculates the environmental impacts of pig production by Life Cycle Analysis (LCA). It
optimizes the number of feeding phases, the average live weight at the beginning of each phase, the lysine
supply (from 70% to 130% of the average requirement of the population) and the formula of each feed with
a multi-objective function which integrates gross margin (GM) of the unit and its impact on Climate Change
(CC). PigOptim includes response laws of growth performance issued from simulations performed with
InraPorc® software for a population. For an optimization of GM only, the best results of GM and CC were
obtained for a lysine supply between 90% and 100% of the average requirement of the population, whereas
animal performance was maximized at 110% of the average requirement. Indeed, reducing feed costs between 110% and 90% of the average lysine requirement compensates for the reduction in growth performance.
This result highlights the interest of models accounting for animal variability when investigating economic
and environmental issues. The simultaneous optimization of GM and CC led to a reduction of GM and CC,
but some other environmental impacts increased. These first results suggest that PigOptim gives consistent
estimations of animal performance, GM and environmental impacts. To our knowledge, PigOptim is the
first model optimizing feed sequence plan on criteria calculated by LCA. In the future, PigOptim will have
to include various environmental impacts in the objective function and will need an improved optimization
process for further integration into a decision support system.
Fichier principal
PigOptimEAAP2016_1.pdf (129.46 Ko)
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PPT-GarciaLaunay-23258_2.pdf (1.16 Mo)
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Origine : Fichiers produits par l'(les) auteur(s)