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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/4716
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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/restrictedAccess2025-09-04T09:47:53Zoai: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:l2025-09-04 09:47:53.668INTA 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 |
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1842341364462780416 |
score |
12.623145 |