TY - GEN
T1 - Optimisation of nutrient use to maximise profitability and minimise nitrogen excretion in pig meat production systems
AU - Morel, P. C H
AU - Wood, G. R.
PY - 2005
Y1 - 2005
N2 - Reduction of environmental mineral pollution, while maintaining profitability, is one of the major challenges faced by the pig industry today. This paper describes a computer-based growth simulation study undertaken to demonstrate how economic profitability can be maintained whilst the environmental effects associated with nitrogen wastes are minimised. For this purpose, a computer program linking a linear program, a stochastic pig growth model and a genetic algorithm (GA) was developed. The objective function to be maximised by the GA is the weighted difference of gross margin and nitrogen excretion cost. Simulations were conducted to investigate how different pig genotypes (fat, normal, lean) and different relative economic weighting of gross margin (1) and nitrogen excretion (0, 1, 5, 10, 20, 40, 80 or 120) affect the nitrogen excretion and profitability under practical or GA optimised feeding strategies in Switzerland. In all the cases investigated, nitrogen excretion is reduced and profitability increased when the pigs are from a leaner genotype. Across all genotypes a 45% reduction in nitrogen excretion can be achieved with only a 3.5% drop in profitability when diets designed to maximise profitability and minimise nitrogen excretion are fed. The maximal nitrogen retentions observed were 44.9%, 52.6% and 57% for the fat, normal and lean genotypes respectively. It is concluded that a more sustainable pork meat production system can be achieved by using better genotypes and optimising the diet composition.
AB - Reduction of environmental mineral pollution, while maintaining profitability, is one of the major challenges faced by the pig industry today. This paper describes a computer-based growth simulation study undertaken to demonstrate how economic profitability can be maintained whilst the environmental effects associated with nitrogen wastes are minimised. For this purpose, a computer program linking a linear program, a stochastic pig growth model and a genetic algorithm (GA) was developed. The objective function to be maximised by the GA is the weighted difference of gross margin and nitrogen excretion cost. Simulations were conducted to investigate how different pig genotypes (fat, normal, lean) and different relative economic weighting of gross margin (1) and nitrogen excretion (0, 1, 5, 10, 20, 40, 80 or 120) affect the nitrogen excretion and profitability under practical or GA optimised feeding strategies in Switzerland. In all the cases investigated, nitrogen excretion is reduced and profitability increased when the pigs are from a leaner genotype. Across all genotypes a 45% reduction in nitrogen excretion can be achieved with only a 3.5% drop in profitability when diets designed to maximise profitability and minimise nitrogen excretion are fed. The maximal nitrogen retentions observed were 44.9%, 52.6% and 57% for the fat, normal and lean genotypes respectively. It is concluded that a more sustainable pork meat production system can be achieved by using better genotypes and optimising the diet composition.
UR - http://www.scopus.com/inward/record.url?scp=79952591125&partnerID=8YFLogxK
U2 - 10.17660/ActaHortic.2005.674.31
DO - 10.17660/ActaHortic.2005.674.31
M3 - Conference proceeding contribution
AN - SCOPUS:79952591125
SN - 9789066055186
VL - 674
T3 - Acta Horticulturae
SP - 269
EP - 275
BT - III International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food Chain; MODEL-IT
A2 - Hertog, M.L.A.T.M.
A2 - Nicolaï, B.M.
PB - International Society for Horticultural Science
CY - Leuven
T2 - III International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food Chain - 2005
Y2 - 29 May 2005 through 2 June 2005
ER -