Using a Crop Model to Benchmark Miscanthus and Switchgrass

Utilisation d'un modèle de culture pour comparer le miscanthus et le Switchgrass

Monia El Akkari (), Fabien Ferchaud (), Loïc Strullu (), Ian Shield, Aurélie Perrin, Jean-Louis Drouet (), Pierre-Alain Jayet and Benoit Gabrielle ()
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Monia El Akkari: ECOSYS - Ecologie fonctionnelle et écotoxicologie des agroécosystèmes - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Fabien Ferchaud: ULiège - Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich, INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Loïc Strullu: ULiège - Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich, INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Ian Shield: Rothamsted Research - BBSRC - Biotechnology and Biological Sciences Research Council
Aurélie Perrin: ESA - Ecole Supérieure des Agricultures
Jean-Louis Drouet: ECOSYS - Ecologie fonctionnelle et écotoxicologie des agroécosystèmes - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Benoit Gabrielle: ECOSYS - Ecologie fonctionnelle et écotoxicologie des agroécosystèmes - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: Crop yields are important items in the economic performance and the environmental impacts of second-generation biofuels. Since they strongly depend on crop management and pedoclimatic conditions, it is important to compare candidate feedstocks to select the most appropriate crops in a given context. Agro-ecosystem models offer a prime route to benchmark crops, but have been little tested from this perspective thus far. Here, we tested whether an agro-ecosystem model (CERES-EGC) was specific enough to capture the differences between miscanthus and switchgrass in northern Europe. The model was compared to field observations obtained in seven long-term trials in France and the UK, involving different fertilizer input rates and harvesting dates. At the calibration site (Estrées-Mons), the mean deviations between simulated and observed crop biomass yields for miscanthus varied between −0.3 t DM ha −1 and 4.2 t DM ha −1. For switchgrass, simulated yields were within 1.0 t DM ha −1 of the experimental data. Observed miscanthus yields were higher than switchgrass yields in most sites and for all treatments, with one exception. Overall, the model captured the differences between both crops adequately, with a mean deviation of 0.46 t DM ha −1 , and could be used to guide feedstock selections over larger biomass supply areas.

Keywords: crop modeling; lignocellulosic species; second generation biofuels; modélisation des cultures; espèce lignocellulosique; biocarburant de seconde génération (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-agr and nep-env
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Published in Energies, 2020, 13 (15), pp.3942. ⟨10.3390/en13153942⟩

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Journal Article: Using a Crop Model to Benchmark Miscanthus and Switchgrass (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02975335

DOI: 10.3390/en13153942

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