MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops

In regions of intensive pig and dairy farming, nutrient losses to the environment at farm level are a source of concern for water and air quality. Dynamic models are useful tools to evaluate the effects of production strategies on nutrient flows and losses to the environment. This paper presents the...

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Main Authors: X. Chardon, C. Rigolot, C. Baratte, S. Espagnol, C. Raison, R. Martin-Clouaire, J.-P. Rellier, A. Le Gall, J.Y. Dourmad, B. Piquemal, P. Leterme, J.M. Paillat, L. Delaby, F. Garcia, J.L. Peyraud, J.C. Poupa, T. Morvan, P. Faverdin
Format: Article
Language:English
Published: Elsevier 2012-01-01
Series:Animal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1751731112000687
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author X. Chardon
C. Rigolot
C. Baratte
S. Espagnol
C. Raison
R. Martin-Clouaire
J.-P. Rellier
A. Le Gall
J.Y. Dourmad
B. Piquemal
P. Leterme
J.M. Paillat
L. Delaby
F. Garcia
J.L. Peyraud
J.C. Poupa
T. Morvan
P. Faverdin
spellingShingle X. Chardon
C. Rigolot
C. Baratte
S. Espagnol
C. Raison
R. Martin-Clouaire
J.-P. Rellier
A. Le Gall
J.Y. Dourmad
B. Piquemal
P. Leterme
J.M. Paillat
L. Delaby
F. Garcia
J.L. Peyraud
J.C. Poupa
T. Morvan
P. Faverdin
MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops
Animal
farming systems
whole-farm model
environmental impact
decision-making
author_facet X. Chardon
C. Rigolot
C. Baratte
S. Espagnol
C. Raison
R. Martin-Clouaire
J.-P. Rellier
A. Le Gall
J.Y. Dourmad
B. Piquemal
P. Leterme
J.M. Paillat
L. Delaby
F. Garcia
J.L. Peyraud
J.C. Poupa
T. Morvan
P. Faverdin
author_sort X. Chardon
title MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops
title_short MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops
title_full MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops
title_fullStr MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops
title_full_unstemmed MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops
title_sort melodie: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops
publisher Elsevier
series Animal
issn 1751-7311
publishDate 2012-01-01
description In regions of intensive pig and dairy farming, nutrient losses to the environment at farm level are a source of concern for water and air quality. Dynamic models are useful tools to evaluate the effects of production strategies on nutrient flows and losses to the environment. This paper presents the development of a new whole-farm model upscaling dynamic models developed at the field or animal scale. The model, called MELODIE, is based on an original structure with interacting biotechnical and decisional modules. Indeed, it is supported by an ontology of production systems and the associated programming platform DIESE. The biotechnical module simulates the nutrient flows in the different animal, soil and crops and manure sub-models. The decision module relies on an annual optimization of cropping and spreading allocation plans, and on the flexible execution of activity plans for each simulated year. These plans are examined every day by an operational management sub-model and their application is context dependent. As a result, MELODIE dynamically simulates the flows of carbon, nitrogen, phosphorus, copper, zinc and water within the whole farm over the short and long-term considering both the farming system and its adaptation to climatic conditions. Therefore, it is possible to study both the spatial and temporal heterogeneity of the environmental risks, and to test changes of practices and innovative scenarios. This is illustrated with one example of simulation plan on dairy farms to interpret the Nitrogen farm-gate budget indicator. It shows that this indicator is able to reflect small differences in Nitrogen losses between different systems, but it can only be interpreted using a mobile average, not on a yearly basis. This example illustrates how MELODIE could be used to study the dynamic behaviour of the system and the dynamic of nutrient flows. Finally, MELODIE can also be used for comprehensive multi-criterion assessments, and it also constitutes a generic and evolving framework for virtual experimentation on animal farming systems.
topic farming systems
whole-farm model
environmental impact
decision-making
url http://www.sciencedirect.com/science/article/pii/S1751731112000687
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spelling doaj-73a8b84b9b87419d94bd0e5a4aa4c5002021-06-06T04:47:52ZengElsevierAnimal1751-73112012-01-0161017111721MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with cropsX. Chardon0C. Rigolot1C. Baratte2S. Espagnol3C. Raison4R. Martin-Clouaire5J.-P. Rellier6A. Le Gall7J.Y. Dourmad8B. Piquemal9P. Leterme10J.M. Paillat11L. Delaby12F. Garcia13J.L. Peyraud14J.C. Poupa15T. Morvan16P. Faverdin17INRA, UMR1080, Production du Lait, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1080, Production du Lait, F-35000 Rennes, France; Institut de l'Elevage, Monvoisin, F-35650 Le Rheu, FranceINRA, UMR1080, Production du Lait, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1080, Production du Lait, F-35000 Rennes, France; INRA, UMR1079, Système d’élevage nutrition animale et humaine, F-35590 St-Gilles, FranceINRA, UMR1080, Production du Lait, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1080, Production du Lait, F-35000 Rennes, FranceIFIP – Institut du porc, 35650 Le Rheu, FranceInstitut de l'Elevage, Monvoisin, F-35650 Le Rheu, FranceINRA, UR875, Biométrie et Intelligence Artificielle, 31326 Castanet-Tolosan, FranceINRA, UR875, Biométrie et Intelligence Artificielle, 31326 Castanet-Tolosan, FranceInstitut de l'Elevage, Monvoisin, F-35650 Le Rheu, FranceINRA, UMR1079, Système d’élevage nutrition animale et humaine, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1079, Système d’élevage nutrition animale et humaine, F-35590 St-Gilles, FranceINRA, UMR1080, Production du Lait, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1080, Production du Lait, F-35000 Rennes, FranceINRA, UMR1069, Sol Agro et hydrosystème Spatialisation, F-35000 Rennes, France; Agrocampus Ouest, UMR1069, Sol Agro et hydrosystème Spatialisation, F-35000 Rennes, FranceINRA, UMR1069, Sol Agro et hydrosystème Spatialisation, F-35000 Rennes, France; Agrocampus Ouest, UMR1069, Sol Agro et hydrosystème Spatialisation, F-35000 Rennes, FranceINRA, UMR1080, Production du Lait, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1080, Production du Lait, F-35000 Rennes, FranceINRA, UMR1080, Production du Lait, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1080, Production du Lait, F-35000 Rennes, FranceINRA, UMR1080, Production du Lait, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1080, Production du Lait, F-35000 Rennes, FranceINRA, UMR1302, Sciences sociales, agriculture et alimentation, espace et environnement, F-35000 Rennes, France; Agrocampus Ouest, UMR1302, Sciences sociales, agriculture et alimentation, espace et environnement, F-35000 Rennes, FranceINRA, UMR1069, Sol Agro et hydrosystème Spatialisation, F-35000 Rennes, France; Agrocampus Ouest, UMR1069, Sol Agro et hydrosystème Spatialisation, F-35000 Rennes, FranceINRA, UMR1080, Production du Lait, F-35590 St-Gilles, France; Agrocampus Ouest, UMR1080, Production du Lait, F-35000 Rennes, FranceIn regions of intensive pig and dairy farming, nutrient losses to the environment at farm level are a source of concern for water and air quality. Dynamic models are useful tools to evaluate the effects of production strategies on nutrient flows and losses to the environment. This paper presents the development of a new whole-farm model upscaling dynamic models developed at the field or animal scale. The model, called MELODIE, is based on an original structure with interacting biotechnical and decisional modules. Indeed, it is supported by an ontology of production systems and the associated programming platform DIESE. The biotechnical module simulates the nutrient flows in the different animal, soil and crops and manure sub-models. The decision module relies on an annual optimization of cropping and spreading allocation plans, and on the flexible execution of activity plans for each simulated year. These plans are examined every day by an operational management sub-model and their application is context dependent. As a result, MELODIE dynamically simulates the flows of carbon, nitrogen, phosphorus, copper, zinc and water within the whole farm over the short and long-term considering both the farming system and its adaptation to climatic conditions. Therefore, it is possible to study both the spatial and temporal heterogeneity of the environmental risks, and to test changes of practices and innovative scenarios. This is illustrated with one example of simulation plan on dairy farms to interpret the Nitrogen farm-gate budget indicator. It shows that this indicator is able to reflect small differences in Nitrogen losses between different systems, but it can only be interpreted using a mobile average, not on a yearly basis. This example illustrates how MELODIE could be used to study the dynamic behaviour of the system and the dynamic of nutrient flows. Finally, MELODIE can also be used for comprehensive multi-criterion assessments, and it also constitutes a generic and evolving framework for virtual experimentation on animal farming systems.http://www.sciencedirect.com/science/article/pii/S1751731112000687farming systemswhole-farm modelenvironmental impactdecision-making