10 June 2016
Loyal to our commitment to continuous improvement, Inga Food has started to use a support tool for the decision-making: Watson®.
Developed by Nutreco Canada, Watson® is an applying mathematical model to the commercial pig production, which uses the quantitative nutrition to foresee the nutrients requirements and the performance of the pigs in the fattening phase. For a whole year work has been carried out to adapt the model to the Spanish market features, to link it to the formulation of Nanta compound feed and its translation into Spanish.
Watson® simulates the growth of pigs having into account the factors affecting, and how they interact among each other. Therefore, Watson® analyzes:
- The genetic potential and gender in order to quantify the growth of different tissues (meat and fat) as per criteria easily measured. Multiple genetic types can be adjusted to match with the genotype used in the farm.
- Availability and composition of the compound feed.
- Compound feed consumption depends on the potential genetic growth of the animal and the limitations related to:
- Compound feed characteristics
- Social environment: floor space per pig, feeding place area per animal, number of animals per feeder, etc..
- Physical environment conditions: temperature, humidity, air circulation, type of floor, insulation of the premises, etc,
- Well-being status and health of the animals
Will all this input, Watson® will help us to forecast the performance and profitability of an existing feeding program.
How can Watson® help us:
- To optimize the feeding programs according to the genetics, gender, environmental conditions, raw material costs, etc. This way, we might be able to develop, for instance, optimal feeding programs specific for males, females, castrated and immuno-castrated pigs or mixtures of different types, considering the genetic differences and depending on the time of the year.
- To develop strategies for the loading of the pigs to slaughterhouse in order to get the maximum margin per pig according to slaughterhouse classification tables.
- To calculate and reduce the environmental impact of the livestock production through estimation of nitrogen and phosphorous excretion.
- To predict the technical and economic impact of changes in the health status or well-being of the animals or the housing conditions, for instance an increase in the floor area per animal.
The most important thing about the mathematical models of results simulation is the precision, since otherwise they will lead us into taking wrong decisions. Watson® has been tested by comparing its forecasts with results from published scientific studies, in trials at experimental farms and at a commercial level, with different pig batch of different genotype, with different food programs and different health status. In most situations, there is hardly a slight variation between the reality and the Watson® predictions, what proves that its predictions are highly reliable.
For further information, please contact your Inga Food Veterinary Technical Service.