Adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems

Session 1 : Improving Eco-Efficiency in Mixed Farming Systems Session 1 : Improving Eco-Efficiency in Mixed Farming Systems An accurate grass growth model would be a valuable tool in anticipating grass growth and grass utilization at farm level. Ideally, a grass growth simulation model must be accur...

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Main Authors: Hurtado-Uria, Cristina, Hennessy, Deirdre, Delaby, Luc, O'Connor, Declan, Shalloo, Laurence
Other Authors: Moorepark Food Research Centre, Teagasc - The Agriculture and Food Development Authority (Teagasc), Cork Institute of Technology (CIT), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage Rennes (PEGASE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, European Project: 244983,EC:FP7:KBBE,FP7-KBBE-2009-3,MULTISWARD(2010)
Format: Conference Object
Language:English
Published: HAL CCSD 2013
Subjects:
Online Access:https://hal.science/hal-01210590
https://hal.science/hal-01210590/document
https://hal.science/hal-01210590/file/13Hurtado201_1.pdf
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spelling ftinstagro:oai:HAL:hal-01210590v1 2024-04-28T07:53:27+00:00 Adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems Hurtado-Uria, Cristina Hennessy, Deirdre Delaby, Luc O'Connor, Declan Shalloo, Laurence Moorepark Food Research Centre Teagasc - The Agriculture and Food Development Authority (Teagasc) Cork Institute of Technology (CIT) Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage Rennes (PEGASE) Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST European Project: 244983,EC:FP7:KBBE,FP7-KBBE-2009-3,MULTISWARD(2010) Akureyri, Iceland 2013-06-23 https://hal.science/hal-01210590 https://hal.science/hal-01210590/document https://hal.science/hal-01210590/file/13Hurtado201_1.pdf en eng HAL CCSD European Grassland Federation info:eu-repo/grantAgreement/EC/FP7/244983/EU/Multi species swards and multi scale strategies for multifunctional grassland based ruminant production systems/MULTISWARD hal-01210590 https://hal.science/hal-01210590 https://hal.science/hal-01210590/document https://hal.science/hal-01210590/file/13Hurtado201_1.pdf PRODINRA: 262228 info:eu-repo/semantics/OpenAccess The Role of Grasslands in a Green Future Threats and Perspectives in Less Favoured Areas 17th Symposium of the European Grassland Federation (EGF) https://hal.science/hal-01210590 17th Symposium of the European Grassland Federation (EGF), Jun 2013, Akureyri, Iceland. European Grassland Federation, Grassland Science in Europe, 18, 2013, Grassland Science in Europe http://www.egf2013.is/ [SDV]Life Sciences [q-bio] info:eu-repo/semantics/conferenceObject Conference poster 2013 ftinstagro 2024-04-03T19:44:13Z Session 1 : Improving Eco-Efficiency in Mixed Farming Systems Session 1 : Improving Eco-Efficiency in Mixed Farming Systems An accurate grass growth model would be a valuable tool in anticipating grass growth and grass utilization at farm level. Ideally, a grass growth simulation model must be accurate, dynamic, use realistic input parameters and incorporate meteorological data. The objective of this study was to parameterize the grass growth model developed by Jouven et al. (2006) to increase its accuracy of grass growth simulation in the south of Ireland. The model was parameterized using an optimization technique where a number of the parameters in themodel were optimized with the objective function of minimizing the root mean square error (RMSE). Both meteorological and grass growth data for the period 2005 to 2009 were included in the optimization process. During validation the Jouven Model was compared to the Adapted Model. RMSE was reduced from 20.45 kg DM ha-1 day-1 with the Jouven Model to 14.62 kg DM ha-1 day-1 with the Adapted Model. MSPE was reduced from 476 to 183. The proposed changes to the Jouven Model improved grass growth simulation in the south ofIreland. The adapted version of the Jouven Model can be used for grass growth simulation albeit without perfect simulation. Conference Object Akureyri Akureyri Akureyri Iceland Portail HAL Institut Agro
institution Open Polar
collection Portail HAL Institut Agro
op_collection_id ftinstagro
language English
topic [SDV]Life Sciences [q-bio]
spellingShingle [SDV]Life Sciences [q-bio]
Hurtado-Uria, Cristina
Hennessy, Deirdre
Delaby, Luc
O'Connor, Declan
Shalloo, Laurence
Adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems
topic_facet [SDV]Life Sciences [q-bio]
description Session 1 : Improving Eco-Efficiency in Mixed Farming Systems Session 1 : Improving Eco-Efficiency in Mixed Farming Systems An accurate grass growth model would be a valuable tool in anticipating grass growth and grass utilization at farm level. Ideally, a grass growth simulation model must be accurate, dynamic, use realistic input parameters and incorporate meteorological data. The objective of this study was to parameterize the grass growth model developed by Jouven et al. (2006) to increase its accuracy of grass growth simulation in the south of Ireland. The model was parameterized using an optimization technique where a number of the parameters in themodel were optimized with the objective function of minimizing the root mean square error (RMSE). Both meteorological and grass growth data for the period 2005 to 2009 were included in the optimization process. During validation the Jouven Model was compared to the Adapted Model. RMSE was reduced from 20.45 kg DM ha-1 day-1 with the Jouven Model to 14.62 kg DM ha-1 day-1 with the Adapted Model. MSPE was reduced from 476 to 183. The proposed changes to the Jouven Model improved grass growth simulation in the south ofIreland. The adapted version of the Jouven Model can be used for grass growth simulation albeit without perfect simulation.
author2 Moorepark Food Research Centre
Teagasc - The Agriculture and Food Development Authority (Teagasc)
Cork Institute of Technology (CIT)
Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage Rennes (PEGASE)
Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST
European Project: 244983,EC:FP7:KBBE,FP7-KBBE-2009-3,MULTISWARD(2010)
format Conference Object
author Hurtado-Uria, Cristina
Hennessy, Deirdre
Delaby, Luc
O'Connor, Declan
Shalloo, Laurence
author_facet Hurtado-Uria, Cristina
Hennessy, Deirdre
Delaby, Luc
O'Connor, Declan
Shalloo, Laurence
author_sort Hurtado-Uria, Cristina
title Adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems
title_short Adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems
title_full Adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems
title_fullStr Adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems
title_full_unstemmed Adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems
title_sort adaptation and evaluation of a mechanistic grass growth simulation model for grass-based systems
publisher HAL CCSD
publishDate 2013
url https://hal.science/hal-01210590
https://hal.science/hal-01210590/document
https://hal.science/hal-01210590/file/13Hurtado201_1.pdf
op_coverage Akureyri, Iceland
genre Akureyri
Akureyri
Akureyri
Iceland
genre_facet Akureyri
Akureyri
Akureyri
Iceland
op_source The Role of Grasslands in a Green Future Threats and Perspectives in Less Favoured Areas
17th Symposium of the European Grassland Federation (EGF)
https://hal.science/hal-01210590
17th Symposium of the European Grassland Federation (EGF), Jun 2013, Akureyri, Iceland. European Grassland Federation, Grassland Science in Europe, 18, 2013, Grassland Science in Europe
http://www.egf2013.is/
op_relation info:eu-repo/grantAgreement/EC/FP7/244983/EU/Multi species swards and multi scale strategies for multifunctional grassland based ruminant production systems/MULTISWARD
hal-01210590
https://hal.science/hal-01210590
https://hal.science/hal-01210590/document
https://hal.science/hal-01210590/file/13Hurtado201_1.pdf
PRODINRA: 262228
op_rights info:eu-repo/semantics/OpenAccess
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