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resumen

Resumen
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 [ver mas...]
dc.contributor.authorBerger, Horacio
dc.contributor.authorMachado, Claudio F.
dc.contributor.authorAgnusdei, Monica Graciela
dc.contributor.authorCullen, Brendan R.
dc.date.accessioned2019-03-25T12:24:36Z
dc.date.available2019-03-25T12:24:36Z
dc.date.issued2014-09
dc.identifier.issn0142-5242
dc.identifier.issn1365-2494
dc.identifier.otherhttps://doi.org/10.1111/gfs.12064
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12064
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4716
dc.description.abstractTall 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceGrass and Forage Science 69 (3) : 441-453 (September 2014)es_AR
dc.subjectFestuca Arundinaceaes_AR
dc.subjectPastizaleses_AR
dc.subjectPastureseng
dc.subjectCrecimientoes_AR
dc.subjectGrowtheng
dc.subjectModelos de Simulaciónes_AR
dc.subjectSimulation Modelseng
dc.subject.otherFestuca Altaes_AR
dc.subject.otherTall Fescueeng
dc.subject.otherArgentinaes_AR
dc.titleUse of a biophysical simulation model (DairyMod) to represent tall fescue pasture growth in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: Berger, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Machado, Claudio F. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina.es_AR
dc.description.filFil: Agnusdei, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Cullen, Brendan R. University of Melbourne. Melbourne School of Land and Environment; Australiaes_AR
dc.subtypecientifico


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