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Modelling of manure production by pigs and NH3, N2O and CH4 emissions. Part I: animal excretion and enteric CH4, effect of feeding and performance

Published online by Cambridge University Press:  22 March 2010

C. Rigolot ,
S. Espagnol ,
C. Pomar  and
J.-Y. Dourmad
C. Rigolot*
Affiliation:
INRA, UMR1079 Systèmes d’Elevage, Nutrition Animale et Humaine, F-35000 Rennes, France IFIP-Institut du Porc, F-35651 Le Rheu, France INRA, UMR1080 Production du Lait, F-35000 Rennes, France
S. Espagnol
Affiliation:
IFIP-Institut du Porc, F-35651 Le Rheu, France
C. Pomar
Affiliation:
Agriculture and Agro-Food Canada, Dairy and Swine Research and Development Centre, C.P. 90, Lennoxville, J1M 1Z3 Québec, Canada
J.-Y. Dourmad
Affiliation:
INRA, UMR1079 Systèmes d’Elevage, Nutrition Animale et Humaine, F-35000 Rennes, France
*
†E-mail: cyrille.rigolot@rennes.inra.fr
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Abstract

A mathematical model was developed from literature data to predict the volume and composition of pig’s excreta (dry and organic matter, C, N, P, K, Cu and Zn contents), and the emission of greenhouse gases (CH4 and CO2) though respiration and from the intestinal tract, for each physiological stage (post-weaning and fattening pigs and lactating and gestating sows). The main sources of variation considered in the model are related to animal performances (feed efficiency, prolificacy, body weight gain, etc.), to water and nutrient intakes and to housing conditions (ambient temperature). Model predictions were validated by using 19 experimental studies, most of them performed in conditions close to those of commercial farms. Validation results showed that the model is precise and robust when predicting slurry volume (R2 = 0.96), slurry N (R2 = 0.91), P (R2 = 0.95) and to a lesser extent dry matter (R2 = 0.75) contents. Faeces and urine composition (minerals and macronutrients) can also be precisely assessed, provided the composition and the digestibility of the feed are well known. Sensitivity analysis showed strong differences in CH4 emission and excretion amounts and composition according to physiological status, animal performance, temperature and diet composition. The model is an efficient tool to calculate nutrient balances at the animal level in commercial conditions, and to simulate the effect of production alternatives, such as feeding strategy or animal performance, on excreta production and composition. This is illustrated by simulations of three feeding strategies, which demonstrates important opportunities to limit environmental risks through diet manipulations.

Keywords

excretionmethaneenvironmentmodellingpig
Type
Full Paper
Information
animal , Volume 4 , Issue 8 , August 2010 , pp. 1401 - 1412
Copyright
Copyright © The Animal Consortium 2010

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