Projected climate change in the Mediterranean area might threaten economically important crops, such as durum wheat, since their yield is highly sensitive to variability of the weather pattern. Crop simulation models are one of the most exploited tool for investigating the response of crops under future climate and explore the effect of proposed adaptation options. This research is focused on studying the capacity of two crop models to reproduce phenology and yield of two Italian durum wheat varieties when sown in unusual sowing dates. SiriusQuality2 (SQ2) and SSM-Wheat, two mechanistic models of different complexity and approaches to reproduce crop processes, are adopted for the simulation of phenology and yield in response to weather and crop management. Despite satisfactory results in the calibration process, model responses may deviate when they are applied to conditions different from the ordinary environmental ones, such as those due to unusual sowing dates. In such extreme conditions, the ability of a model in reproducing biological processes might fail.
Use of Crop Simulation Models to Study Durum Wheat Phenological and Productive Response at Variation of Sowing Date / Padovan, Gloria; Ferrise, Roberto; Ercoli, Laura; Arduini, Iduna; Bindi, Marco. - STAMPA. - (2016), pp. 5-6. (Intervento presentato al convegno Atti del XLV Convegno della Società Italiana di Agronomia: La ricerca agronomica verso il 2030: gli obiettivi globali di sviluppo sostenibile tenutosi a Sassari nel 20-22 settembre 2016).
Use of Crop Simulation Models to Study Durum Wheat Phenological and Productive Response at Variation of Sowing Date
PADOVAN, GLORIA;FERRISE, ROBERTO;BINDI, MARCO
2016
Abstract
Projected climate change in the Mediterranean area might threaten economically important crops, such as durum wheat, since their yield is highly sensitive to variability of the weather pattern. Crop simulation models are one of the most exploited tool for investigating the response of crops under future climate and explore the effect of proposed adaptation options. This research is focused on studying the capacity of two crop models to reproduce phenology and yield of two Italian durum wheat varieties when sown in unusual sowing dates. SiriusQuality2 (SQ2) and SSM-Wheat, two mechanistic models of different complexity and approaches to reproduce crop processes, are adopted for the simulation of phenology and yield in response to weather and crop management. Despite satisfactory results in the calibration process, model responses may deviate when they are applied to conditions different from the ordinary environmental ones, such as those due to unusual sowing dates. In such extreme conditions, the ability of a model in reproducing biological processes might fail.File | Dimensione | Formato | |
---|---|---|---|
Padovan.pdf
Accesso chiuso
Tipologia:
Pdf editoriale (Version of record)
Licenza:
DRM non definito
Dimensione
520.31 kB
Formato
Adobe PDF
|
520.31 kB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.