Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments
Simulation models for perennial energy crops such as switchgrass (Panicum virgatum L.) and Miscanthus (Miscanthus x giganteus) can be useful tools to design management strategies for biomass productivity improvement in US environments. The Agricultural Production Systems Simulator (APSIM) is a bio...
| Autores principales: | , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/3508 https://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12384 https://doi.org/10.1111/gcbb.12384 |
| _version_ | 1855035154786942976 |
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| author | Ojeda, Jonathan Jesus Volenec, Jeffrey J. Brouder, Sylvie M. Caviglia, Octavio Agnusdei, Monica Graciela |
| author_browse | Agnusdei, Monica Graciela Brouder, Sylvie M. Caviglia, Octavio Ojeda, Jonathan Jesus Volenec, Jeffrey J. |
| author_facet | Ojeda, Jonathan Jesus Volenec, Jeffrey J. Brouder, Sylvie M. Caviglia, Octavio Agnusdei, Monica Graciela |
| author_sort | Ojeda, Jonathan Jesus |
| collection | INTA Digital |
| description | Simulation models for perennial energy crops such as switchgrass (Panicum virgatum L.) and Miscanthus (Miscanthus
x giganteus) can be useful tools to design management strategies for biomass productivity improvement
in US environments. The Agricultural Production Systems Simulator (APSIM) is a biophysical model with the
potential to simulate the growth of perennial crops. APSIM crop modules do not exist for switchgrass and Miscanthus,
however, re-parameterization of existing APSIM modules could be used to simulate the growth of these
perennials. Our aim was to evaluate the ability of APSIM to predict the dry matter (DM) yield of switchgrass
and Miscanthus at several US locations. The Lucerne (for switchgrass) and Sugarcane (for Miscanthus) APSIM
modules were calibrated using data from four locations in Indiana. A sensitivity analysis informed the relative
impact of changes in plant and soil parameters of APSIM Lucerne and APSIM Sugarcane modules. An independent
dataset of switchgrass and Miscanthus DM yields from several US environments was used to validate these
re-parameterized APSIM modules. The re-parameterized modules simulated DM yields of switchgrass [0.95 for
CCC (concordance correlation coefficient) and 0 for SB (bias of the simulation from the measurement)] and Miscanthus
(0.65 and 0% for CCC and SB, respectively) accurately at most locations with the exception of switchgrass
at southern US sites (0.01 for CCC and 2% for SB). Therefore, the APSIM model is a promising tool for
simulating DM yields for switchgrass and Miscanthus while accounting for environmental variability. Given our
study was strictly based on APSIM calibrations at Indiana locations, additional research using more extensive
calibration data may enhance APSIM robustness. |
| format | info:ar-repo/semantics/artículo |
| id | INTA3508 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA35082018-09-28T15:25:37Z Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments Ojeda, Jonathan Jesus Volenec, Jeffrey J. Brouder, Sylvie M. Caviglia, Octavio Agnusdei, Monica Graciela Panicum Virgatum Miscanthus Sistemas de Explotación Rendimiento Técnicas de Predicción Modelos de Simulación Bioenergía Biomasa Farming Systems Yields Forecasting Simulation Models Bioenergy Biomass Estados Unidos Switchgrass Agricultural Production Systems Simulator APSIM Simulation models for perennial energy crops such as switchgrass (Panicum virgatum L.) and Miscanthus (Miscanthus x giganteus) can be useful tools to design management strategies for biomass productivity improvement in US environments. The Agricultural Production Systems Simulator (APSIM) is a biophysical model with the potential to simulate the growth of perennial crops. APSIM crop modules do not exist for switchgrass and Miscanthus, however, re-parameterization of existing APSIM modules could be used to simulate the growth of these perennials. Our aim was to evaluate the ability of APSIM to predict the dry matter (DM) yield of switchgrass and Miscanthus at several US locations. The Lucerne (for switchgrass) and Sugarcane (for Miscanthus) APSIM modules were calibrated using data from four locations in Indiana. A sensitivity analysis informed the relative impact of changes in plant and soil parameters of APSIM Lucerne and APSIM Sugarcane modules. An independent dataset of switchgrass and Miscanthus DM yields from several US environments was used to validate these re-parameterized APSIM modules. The re-parameterized modules simulated DM yields of switchgrass [0.95 for CCC (concordance correlation coefficient) and 0 for SB (bias of the simulation from the measurement)] and Miscanthus (0.65 and 0% for CCC and SB, respectively) accurately at most locations with the exception of switchgrass at southern US sites (0.01 for CCC and 2% for SB). Therefore, the APSIM model is a promising tool for simulating DM yields for switchgrass and Miscanthus while accounting for environmental variability. Given our study was strictly based on APSIM calibrations at Indiana locations, additional research using more extensive calibration data may enhance APSIM robustness. EEA Paraná Fil: Ojeda, Jonathan Jesus. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Volenec, Jeffrey J. Purdue University. Department of Agronomy; Estados Unidos Fil: Brouder, Sylvie M. Purdue University. Department of Agronomy; Estados Unidos Fil: Caviglia, Octavio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná. Grupo Ecología Forestal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina Fil: Agnusdei, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina 2018-09-28T15:14:41Z 2018-09-28T15:14:41Z 2017 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/3508 https://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12384 1757-1707 https://doi.org/10.1111/gcbb.12384 eng info:eu-repo/semantics/restrictedAccess application/pdf Wiley Global change biology Bioenergy 9 (4) : 796–816. (April 2017) |
| spellingShingle | Panicum Virgatum Miscanthus Sistemas de Explotación Rendimiento Técnicas de Predicción Modelos de Simulación Bioenergía Biomasa Farming Systems Yields Forecasting Simulation Models Bioenergy Biomass Estados Unidos Switchgrass Agricultural Production Systems Simulator APSIM Ojeda, Jonathan Jesus Volenec, Jeffrey J. Brouder, Sylvie M. Caviglia, Octavio Agnusdei, Monica Graciela Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments |
| title | Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments |
| title_full | Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments |
| title_fullStr | Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments |
| title_full_unstemmed | Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments |
| title_short | Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments |
| title_sort | evaluation of agricultural production systems simulator as yield predictor of panicum virgatum and miscanthus x giganteus in several us environments |
| topic | Panicum Virgatum Miscanthus Sistemas de Explotación Rendimiento Técnicas de Predicción Modelos de Simulación Bioenergía Biomasa Farming Systems Yields Forecasting Simulation Models Bioenergy Biomass Estados Unidos Switchgrass Agricultural Production Systems Simulator APSIM |
| url | http://hdl.handle.net/20.500.12123/3508 https://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12384 https://doi.org/10.1111/gcbb.12384 |
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