Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina

Autores
Berger, Horacio; Machado, Claudio F.; Agnusdei, Monica Graciela; Cullen, Brendan R.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Tall fescue pastures have an increasing potential to be used worldwide. The purpose of this study was to test the ability and flexibility of the model DairyMod to represent herbage mass accumulation (HMA) of tall fescue pastures from Argentina under several environmental conditions, including different seasons, fertilizer nitrogen levels and irrigation. Species‐specific responses were obtained by customizing particular parameters (i.e. number of living leaves per tiller, leaf appearance interval, optimum plant N concentration and the response of leaf gross photosynthesis to temperature). Additionally, a simulation experiment to compare the model assumption that optimum N concentration stays constant through HMA with the application of a reference critical N dilution curve verified for temperate forage grasses (N% = 4·8 HMA−0·32) was conducted. Application of DairyMod simulated with reasonable accuracy the HMA of tall fescue pastures under a wide range of climatic and management conditions; however, the model tended to underestimate HMA where pastures grew under high N availability. The use of a reference critical N curve substantially improved this bias, indicating that a further analysis on the N issue of the model is necessary. Results from this study provide support for further evaluations of the model under other scenarios and conditions. An upgrade of the model to improve simulation of N nutrition is suggested to enhance its performance to predict growth dynamics at high N availabilities as well as its value to address the effectiveness of N‐management practices.
EEA Balcarce
Fil: Berger, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Machado, Claudio F. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina.
Fil: Agnusdei, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Cullen, Brendan R. University of Melbourne. Melbourne School of Land and Environment; Australia
Fuente
Grass and Forage Science 69 (3) : 441-453 (September 2014)
Materia
Festuca Arundinacea
Pastizales
Crecimiento
Modelos de Simulación
Pastures
Growth
Simulation Models
Festuca Alta
Argentina
Tall Fescue
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/4716
Acceder
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oai_identifier_str oai:localhost:20.500.12123/4716
network_acronym_str INTADig
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network_name_str INTA Digital (INTA)
spelling Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in ArgentinaBerger, HoracioMachado, Claudio F.Agnusdei, Monica GracielaCullen, Brendan R.Festuca ArundinaceaPastizalesCrecimientoModelos de SimulaciónPasturesGrowthSimulation ModelsFestuca AltaArgentinaTall FescueTall fescue pastures have an increasing potential to be used worldwide. The purpose of this study was to test the ability and flexibility of the model DairyMod to represent herbage mass accumulation (HMA) of tall fescue pastures from Argentina under several environmental conditions, including different seasons, fertilizer nitrogen levels and irrigation. Species‐specific responses were obtained by customizing particular parameters (i.e. number of living leaves per tiller, leaf appearance interval, optimum plant N concentration and the response of leaf gross photosynthesis to temperature). Additionally, a simulation experiment to compare the model assumption that optimum N concentration stays constant through HMA with the application of a reference critical N dilution curve verified for temperate forage grasses (N% = 4·8 HMA−0·32) was conducted. Application of DairyMod simulated with reasonable accuracy the HMA of tall fescue pastures under a wide range of climatic and management conditions; however, the model tended to underestimate HMA where pastures grew under high N availability. The use of a reference critical N curve substantially improved this bias, indicating that a further analysis on the N issue of the model is necessary. Results from this study provide support for further evaluations of the model under other scenarios and conditions. An upgrade of the model to improve simulation of N nutrition is suggested to enhance its performance to predict growth dynamics at high N availabilities as well as its value to address the effectiveness of N‐management practices.EEA BalcarceFil: Berger, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Machado, Claudio F. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina.Fil: Agnusdei, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Cullen, Brendan R. University of Melbourne. Melbourne School of Land and Environment; AustraliaWiley2019-03-25T12:24:36Z2019-03-25T12:24:36Z2014-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12064http://hdl.handle.net/20.500.12123/47160142-52421365-2494https://doi.org/10.1111/gfs.12064Grass and Forage Science 69 (3) : 441-453 (September 2014)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:36Zoai:localhost:20.500.12123/4716instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:36.823INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina
title Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina
spellingShingle Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina
Berger, Horacio
Festuca Arundinacea
Pastizales
Crecimiento
Modelos de Simulación
Pastures
Growth
Simulation Models
Festuca Alta
Argentina
Tall Fescue
title_short Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina
title_full Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina
title_fullStr Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina
title_full_unstemmed Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina
title_sort Use of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentina
dc.creator.none.fl_str_mv Berger, Horacio
Machado, Claudio F.
Agnusdei, Monica Graciela
Cullen, Brendan R.
author Berger, Horacio
author_facet Berger, Horacio
Machado, Claudio F.
Agnusdei, Monica Graciela
Cullen, Brendan R.
author_role author
author2 Machado, Claudio F.
Agnusdei, Monica Graciela
Cullen, Brendan R.
author2_role author
author
author
dc.subject.none.fl_str_mv Festuca Arundinacea
Pastizales
Crecimiento
Modelos de Simulación
Pastures
Growth
Simulation Models
Festuca Alta
Argentina
Tall Fescue
topic Festuca Arundinacea
Pastizales
Crecimiento
Modelos de Simulación
Pastures
Growth
Simulation Models
Festuca Alta
Argentina
Tall Fescue
dc.description.none.fl_txt_mv Tall fescue pastures have an increasing potential to be used worldwide. The purpose of this study was to test the ability and flexibility of the model DairyMod to represent herbage mass accumulation (HMA) of tall fescue pastures from Argentina under several environmental conditions, including different seasons, fertilizer nitrogen levels and irrigation. Species‐specific responses were obtained by customizing particular parameters (i.e. number of living leaves per tiller, leaf appearance interval, optimum plant N concentration and the response of leaf gross photosynthesis to temperature). Additionally, a simulation experiment to compare the model assumption that optimum N concentration stays constant through HMA with the application of a reference critical N dilution curve verified for temperate forage grasses (N% = 4·8 HMA−0·32) was conducted. Application of DairyMod simulated with reasonable accuracy the HMA of tall fescue pastures under a wide range of climatic and management conditions; however, the model tended to underestimate HMA where pastures grew under high N availability. The use of a reference critical N curve substantially improved this bias, indicating that a further analysis on the N issue of the model is necessary. Results from this study provide support for further evaluations of the model under other scenarios and conditions. An upgrade of the model to improve simulation of N nutrition is suggested to enhance its performance to predict growth dynamics at high N availabilities as well as its value to address the effectiveness of N‐management practices.
EEA Balcarce
Fil: Berger, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Machado, Claudio F. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina.
Fil: Agnusdei, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Cullen, Brendan R. University of Melbourne. Melbourne School of Land and Environment; Australia
description Tall fescue pastures have an increasing potential to be used worldwide. The purpose of this study was to test the ability and flexibility of the model DairyMod to represent herbage mass accumulation (HMA) of tall fescue pastures from Argentina under several environmental conditions, including different seasons, fertilizer nitrogen levels and irrigation. Species‐specific responses were obtained by customizing particular parameters (i.e. number of living leaves per tiller, leaf appearance interval, optimum plant N concentration and the response of leaf gross photosynthesis to temperature). Additionally, a simulation experiment to compare the model assumption that optimum N concentration stays constant through HMA with the application of a reference critical N dilution curve verified for temperate forage grasses (N% = 4·8 HMA−0·32) was conducted. Application of DairyMod simulated with reasonable accuracy the HMA of tall fescue pastures under a wide range of climatic and management conditions; however, the model tended to underestimate HMA where pastures grew under high N availability. The use of a reference critical N curve substantially improved this bias, indicating that a further analysis on the N issue of the model is necessary. Results from this study provide support for further evaluations of the model under other scenarios and conditions. An upgrade of the model to improve simulation of N nutrition is suggested to enhance its performance to predict growth dynamics at high N availabilities as well as its value to address the effectiveness of N‐management practices.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
2019-03-25T12:24:36Z
2019-03-25T12:24:36Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12064
http://hdl.handle.net/20.500.12123/4716
0142-5242
1365-2494
https://doi.org/10.1111/gfs.12064
url https://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12064
http://hdl.handle.net/20.500.12123/4716
https://doi.org/10.1111/gfs.12064
identifier_str_mv 0142-5242
1365-2494
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Grass and Forage Science 69 (3) : 441-453 (September 2014)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1844619131957018624
score 12.558318

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