Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach

Autores
Insua, Juan Ramón; Machado, Claudio; Garcia, Sergio; Berone, German Dario
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A large gap between actual and potential herbage production of tall fescue is a major limitation for livestock production systems in Argentina. The objectives of this work were to (a) calibrate and test the ability of a published pasture–soil water model to represent herbage growth dynamics of tall fescue [Lolium arundinaceum (Schreb.) Darbysh.] under different growing conditions, using data from controlled field experiments; (a) use the evaluated model to predict the magnitude and time of the year that N or soil water would constrain tall fescue from attaining its potential growth rate in the south‐eastern Pampas of Argentina; and (c) quantify herbage production gains and temporal variability for a proposed improved management practice (IMP) of N fertilizer under different meteorological and soils scenarios. After tall fescue‐specific calibration, the model accurately represented the response of tall fescue herbage mass to irrigation and N fertilization (root mean square error of prediction <550 kg DM ha−1, R2 > .70) observed in thirteen single‐season, controlled, field experiments. Results from a 40‐year simulation show that the gap between fertilized and unfertilized tall fescue pastures in Argentina can exceed 14 t DM ha−1 year−1. The proposed IMP maximized responses to N in autumn and early spring, reducing the annual herbage production gaps by 38%. The effect of IMP on annual herbage production was larger (4–5 t DM ha−1 year−1) than the effect due to variability in soils’ ability to store water (2–4 t DM ha−1 year−1) or annual variability in meteorological conditions (±1–2 t DM ha−1 year−1). This work provides a sound modelling approach to identify, for a particular forage species and site, most of the main gaps of herbage production; and to quantify, without the need of long‐term, expensive field studies, some of the potential gains (and risks associated with temporal variability), that could be achieved by producers. In addition, our results clearly indicate that site‐specific calibration is required for the model to provide accurate predictions and sound management advice to farmers.
EEA Balcarce
Fil: Insua, Juan Ramon. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Modasur (Red regional para la investigación de modelos agrícolas); Argentina.
Fil: Machado, Claudio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión de Investigaciones Científicas, Argentina. Centro de Investigación Veterinaria de Tandil; Argentina. Modasur (Red regional para la investigación de modelos agrícolas), Argentina.
Fil: Garcia, Sergio. The University of Sydney. Faculty of Science. School of Life and Environmental Sciences, Australia
Fil: Berone, Germán Dario. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Modasur (Red regional para la investigación de modelos agrícolas), Argentina.
Fuente
Grass and Forage Science (First published: 07 December 2020)
Materia
Rendimiento de Forraje
Festuca Arundinacea
Modelización
Agua del Suelo
Argentina
Forage Yield
Modelling
Soil Water
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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oai_identifier_str oai:localhost:20.500.12123/8759
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spelling Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approachInsua, Juan RamónMachado, ClaudioGarcia, SergioBerone, German DarioRendimiento de ForrajeFestuca ArundinaceaModelizaciónAgua del SueloArgentinaForage YieldModellingSoil WaterA large gap between actual and potential herbage production of tall fescue is a major limitation for livestock production systems in Argentina. The objectives of this work were to (a) calibrate and test the ability of a published pasture–soil water model to represent herbage growth dynamics of tall fescue [Lolium arundinaceum (Schreb.) Darbysh.] under different growing conditions, using data from controlled field experiments; (a) use the evaluated model to predict the magnitude and time of the year that N or soil water would constrain tall fescue from attaining its potential growth rate in the south‐eastern Pampas of Argentina; and (c) quantify herbage production gains and temporal variability for a proposed improved management practice (IMP) of N fertilizer under different meteorological and soils scenarios. After tall fescue‐specific calibration, the model accurately represented the response of tall fescue herbage mass to irrigation and N fertilization (root mean square error of prediction <550 kg DM ha−1, R2 > .70) observed in thirteen single‐season, controlled, field experiments. Results from a 40‐year simulation show that the gap between fertilized and unfertilized tall fescue pastures in Argentina can exceed 14 t DM ha−1 year−1. The proposed IMP maximized responses to N in autumn and early spring, reducing the annual herbage production gaps by 38%. The effect of IMP on annual herbage production was larger (4–5 t DM ha−1 year−1) than the effect due to variability in soils’ ability to store water (2–4 t DM ha−1 year−1) or annual variability in meteorological conditions (±1–2 t DM ha−1 year−1). This work provides a sound modelling approach to identify, for a particular forage species and site, most of the main gaps of herbage production; and to quantify, without the need of long‐term, expensive field studies, some of the potential gains (and risks associated with temporal variability), that could be achieved by producers. In addition, our results clearly indicate that site‐specific calibration is required for the model to provide accurate predictions and sound management advice to farmers.EEA BalcarceFil: Insua, Juan Ramon. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Modasur (Red regional para la investigación de modelos agrícolas); Argentina.Fil: Machado, Claudio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión de Investigaciones Científicas, Argentina. Centro de Investigación Veterinaria de Tandil; Argentina. Modasur (Red regional para la investigación de modelos agrícolas), Argentina.Fil: Garcia, Sergio. The University of Sydney. Faculty of Science. School of Life and Environmental Sciences, AustraliaFil: Berone, Germán Dario. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Modasur (Red regional para la investigación de modelos agrícolas), Argentina.Wiley2021-02-26T12:22:40Z2021-02-26T12:22:40Z2020-12-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/8759https://onlinelibrary.wiley.com/doi/10.1111/gfs.125081365-2494https://doi.org/10.1111/gfs.12508Grass and Forage Science (First published: 07 December 2020)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/AEFP-262921/AR./Producción, calidad y manejo sustentables de las pasturas templadas y megatérmicasinfo:eu-repo/semantics/restrictedAccess2025-09-29T13:45:08Zoai:localhost:20.500.12123/8759instacron: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 13:45:08.664INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
title Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
spellingShingle Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
Insua, Juan Ramón
Rendimiento de Forraje
Festuca Arundinacea
Modelización
Agua del Suelo
Argentina
Forage Yield
Modelling
Soil Water
title_short Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
title_full Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
title_fullStr Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
title_full_unstemmed Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
title_sort Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
dc.creator.none.fl_str_mv Insua, Juan Ramón
Machado, Claudio
Garcia, Sergio
Berone, German Dario
author Insua, Juan Ramón
author_facet Insua, Juan Ramón
Machado, Claudio
Garcia, Sergio
Berone, German Dario
author_role author
author2 Machado, Claudio
Garcia, Sergio
Berone, German Dario
author2_role author
author
author
dc.subject.none.fl_str_mv Rendimiento de Forraje
Festuca Arundinacea
Modelización
Agua del Suelo
Argentina
Forage Yield
Modelling
Soil Water
topic Rendimiento de Forraje
Festuca Arundinacea
Modelización
Agua del Suelo
Argentina
Forage Yield
Modelling
Soil Water
dc.description.none.fl_txt_mv A large gap between actual and potential herbage production of tall fescue is a major limitation for livestock production systems in Argentina. The objectives of this work were to (a) calibrate and test the ability of a published pasture–soil water model to represent herbage growth dynamics of tall fescue [Lolium arundinaceum (Schreb.) Darbysh.] under different growing conditions, using data from controlled field experiments; (a) use the evaluated model to predict the magnitude and time of the year that N or soil water would constrain tall fescue from attaining its potential growth rate in the south‐eastern Pampas of Argentina; and (c) quantify herbage production gains and temporal variability for a proposed improved management practice (IMP) of N fertilizer under different meteorological and soils scenarios. After tall fescue‐specific calibration, the model accurately represented the response of tall fescue herbage mass to irrigation and N fertilization (root mean square error of prediction <550 kg DM ha−1, R2 > .70) observed in thirteen single‐season, controlled, field experiments. Results from a 40‐year simulation show that the gap between fertilized and unfertilized tall fescue pastures in Argentina can exceed 14 t DM ha−1 year−1. The proposed IMP maximized responses to N in autumn and early spring, reducing the annual herbage production gaps by 38%. The effect of IMP on annual herbage production was larger (4–5 t DM ha−1 year−1) than the effect due to variability in soils’ ability to store water (2–4 t DM ha−1 year−1) or annual variability in meteorological conditions (±1–2 t DM ha−1 year−1). This work provides a sound modelling approach to identify, for a particular forage species and site, most of the main gaps of herbage production; and to quantify, without the need of long‐term, expensive field studies, some of the potential gains (and risks associated with temporal variability), that could be achieved by producers. In addition, our results clearly indicate that site‐specific calibration is required for the model to provide accurate predictions and sound management advice to farmers.
EEA Balcarce
Fil: Insua, Juan Ramon. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Modasur (Red regional para la investigación de modelos agrícolas); Argentina.
Fil: Machado, Claudio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión de Investigaciones Científicas, Argentina. Centro de Investigación Veterinaria de Tandil; Argentina. Modasur (Red regional para la investigación de modelos agrícolas), Argentina.
Fil: Garcia, Sergio. The University of Sydney. Faculty of Science. School of Life and Environmental Sciences, Australia
Fil: Berone, Germán Dario. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Modasur (Red regional para la investigación de modelos agrícolas), Argentina.
description A large gap between actual and potential herbage production of tall fescue is a major limitation for livestock production systems in Argentina. The objectives of this work were to (a) calibrate and test the ability of a published pasture–soil water model to represent herbage growth dynamics of tall fescue [Lolium arundinaceum (Schreb.) Darbysh.] under different growing conditions, using data from controlled field experiments; (a) use the evaluated model to predict the magnitude and time of the year that N or soil water would constrain tall fescue from attaining its potential growth rate in the south‐eastern Pampas of Argentina; and (c) quantify herbage production gains and temporal variability for a proposed improved management practice (IMP) of N fertilizer under different meteorological and soils scenarios. After tall fescue‐specific calibration, the model accurately represented the response of tall fescue herbage mass to irrigation and N fertilization (root mean square error of prediction <550 kg DM ha−1, R2 > .70) observed in thirteen single‐season, controlled, field experiments. Results from a 40‐year simulation show that the gap between fertilized and unfertilized tall fescue pastures in Argentina can exceed 14 t DM ha−1 year−1. The proposed IMP maximized responses to N in autumn and early spring, reducing the annual herbage production gaps by 38%. The effect of IMP on annual herbage production was larger (4–5 t DM ha−1 year−1) than the effect due to variability in soils’ ability to store water (2–4 t DM ha−1 year−1) or annual variability in meteorological conditions (±1–2 t DM ha−1 year−1). This work provides a sound modelling approach to identify, for a particular forage species and site, most of the main gaps of herbage production; and to quantify, without the need of long‐term, expensive field studies, some of the potential gains (and risks associated with temporal variability), that could be achieved by producers. In addition, our results clearly indicate that site‐specific calibration is required for the model to provide accurate predictions and sound management advice to farmers.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-07
2021-02-26T12:22:40Z
2021-02-26T12:22:40Z
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 http://hdl.handle.net/20.500.12123/8759
https://onlinelibrary.wiley.com/doi/10.1111/gfs.12508
1365-2494
https://doi.org/10.1111/gfs.12508
url http://hdl.handle.net/20.500.12123/8759
https://onlinelibrary.wiley.com/doi/10.1111/gfs.12508
https://doi.org/10.1111/gfs.12508
identifier_str_mv 1365-2494
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/AEFP-262921/AR./Producción, calidad y manejo sustentables de las pasturas templadas y megatérmicas
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 (First published: 07 December 2020)
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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