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Modelisation dynamique des flux d'az...

Berthiaume, Philippe.

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Modelisation dynamique des flux d'azote dans les entreprises de production porcine: Impact des caracteristiques du troupeau, des batiments et de la regie (French text).

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modelisation dynamique des flux d'azote dans les entreprises de production porcine: Impact des caracteristiques du troupeau, des batiments et de la regie (French text)./
Author:	Berthiaume, Philippe.
Description:	213 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2154.
Contained By:	Dissertation Abstracts International65-05B.
Subject:	Agriculture, Animal Culture and Nutrition. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ91908
ISBN:	0612919080

Modelisation dynamique des flux d'azote dans les entreprises de production porcine: Impact des caracteristiques du troupeau, des batiments et de la regie (French text).
Berthiaume, Philippe.

Modelisation dynamique des flux d'azote dans les entreprises de production porcine: Impact des caracteristiques du troupeau, des batiments et de la regie (French text). - 213 p.

Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2154.

Thesis (Ph.D.)--Universite de Montreal (Canada), 2004.

Many important characteristics in swine production such as genetics, feeding efficiency, feed content, feed distribution methods, environment control, and waste management systems affect nitrogen content of slurry. However, it is not obvious to estimate the impact of these characteristics on the daily fresh manure production and characteristics per animal unit (e.g. nitrogen concentration). Simulation of nitrogen fluxes in swine production systems using mathematical models have shown potential impacts of some the aforementioned characteristics on either swine excretion or ammonia volatilization in buildings and outdoor storage facilities. Here, we used already published mathematical submodels to construct a dynamic model simulating nitrogen fluxes in both batch and continuous production systems. The resulting model allows for prediction of daily concentrations and amounts of nitrogen inside buildings and storage facilities. The model has been validated using data from a farrowing building of approximately 800 sows and a growing/finishing building system of approximately 5000 hogs. Characteristics of both production sites were obtained using a survey and direct measurements were taken (ambient and slurry temperatures, ammonia nitrogen and total nitrogen in slurry and slurry pH). Sensitivity analysis confirmed the already acknowledged importance of feed content and methods of distribution---information that can be easily obtained from producers and, thus, should allow for determination of regional amounts of nitrogen produced by swine production systems (e.g., municipality, county or watershed level). Also, the sensitivity analysis confirmed the importance of production system characteristics such as slurry pH and air speed over slurry---characteristics that are seldom known to producers or farm managers. Simulation results were compared with calculated results using animal units method. Therefore we were able to confirm the importance of integrating swine production facility characteristics when estimating amounts and concentrations of nitrogen in slurry. Finally, two sets of simulation scenarios were used to illustrate the capacity of using simulation with the produced model as a management tool and to further demonstrate coherent behaviour of the model over different sets of parameters values.

ISBN: 0612919080Subjects--Topical Terms:

1017857
Agriculture, Animal Culture and Nutrition.

Modelisation dynamique des flux d'azote dans les entreprises de production porcine: Impact des caracteristiques du troupeau, des batiments et de la regie (French text).
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245 1 0 $a Modelisation dynamique des flux d'azote dans les entreprises de production porcine: Impact des caracteristiques du troupeau, des batiments et de la regie (French text).
300 $a 213 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2154.
500 $a Directeurs: Michel Bigras-Poulin; Alain N. Rousseau.
502 $a Thesis (Ph.D.)--Universite de Montreal (Canada), 2004.
520 $a Many important characteristics in swine production such as genetics, feeding efficiency, feed content, feed distribution methods, environment control, and waste management systems affect nitrogen content of slurry. However, it is not obvious to estimate the impact of these characteristics on the daily fresh manure production and characteristics per animal unit (e.g. nitrogen concentration). Simulation of nitrogen fluxes in swine production systems using mathematical models have shown potential impacts of some the aforementioned characteristics on either swine excretion or ammonia volatilization in buildings and outdoor storage facilities. Here, we used already published mathematical submodels to construct a dynamic model simulating nitrogen fluxes in both batch and continuous production systems. The resulting model allows for prediction of daily concentrations and amounts of nitrogen inside buildings and storage facilities. The model has been validated using data from a farrowing building of approximately 800 sows and a growing/finishing building system of approximately 5000 hogs. Characteristics of both production sites were obtained using a survey and direct measurements were taken (ambient and slurry temperatures, ammonia nitrogen and total nitrogen in slurry and slurry pH). Sensitivity analysis confirmed the already acknowledged importance of feed content and methods of distribution---information that can be easily obtained from producers and, thus, should allow for determination of regional amounts of nitrogen produced by swine production systems (e.g., municipality, county or watershed level). Also, the sensitivity analysis confirmed the importance of production system characteristics such as slurry pH and air speed over slurry---characteristics that are seldom known to producers or farm managers. Simulation results were compared with calculated results using animal units method. Therefore we were able to confirm the importance of integrating swine production facility characteristics when estimating amounts and concentrations of nitrogen in slurry. Finally, two sets of simulation scenarios were used to illustrate the capacity of using simulation with the produced model as a management tool and to further demonstrate coherent behaviour of the model over different sets of parameters values.
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