Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach
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...
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| Format: | Artículo |
| Language: | Inglés |
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Wiley
2021
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| Online Access: | http://hdl.handle.net/20.500.12123/8759 https://onlinelibrary.wiley.com/doi/10.1111/gfs.12508 https://doi.org/10.1111/gfs.12508 |
| _version_ | 1855484262255427584 |
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| author | Insua, Juan Ramón Machado, Claudio Garcia, Sergio Berone, German Dario |
| author_browse | Berone, German Dario Garcia, Sergio Insua, Juan Ramón Machado, Claudio |
| author_facet | Insua, Juan Ramón Machado, Claudio Garcia, Sergio Berone, German Dario |
| author_sort | Insua, Juan Ramón |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA8759 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA87592021-02-26T12:34:31Z Forage yield gap analysis for tall fescue pastures in Argentina: A modelling approach Insua, Juan Ramón Machado, Claudio Garcia, Sergio Berone, German Dario Rendimiento de Forraje Festuca Arundinacea Modelización Agua del Suelo Argentina Forage Yield Modelling Soil Water 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. 2021-02-26T12:22:40Z 2021-02-26T12:22:40Z 2020-12-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repograntAgreement/INTA/AEFP-262921/AR./Producción, calidad y manejo sustentables de las pasturas templadas y megatérmicas info:eu-repo/semantics/restrictedAccess application/pdf Wiley Grass and Forage Science (First published: 07 December 2020) |
| spellingShingle | Rendimiento de Forraje Festuca Arundinacea Modelización Agua del Suelo Argentina Forage Yield Modelling Soil Water Insua, Juan Ramón Machado, Claudio Garcia, Sergio Berone, German Dario 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 |
| 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_short | 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 |
| topic | Rendimiento de Forraje Festuca Arundinacea Modelización Agua del Suelo Argentina Forage Yield Modelling Soil Water |
| 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 |
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