Objective
At the close of the first year of valuation of CERES- WHEAT crop model it has been possible to put into evidence the possibility of application and the results obtained from different simulations. At first the use of the model resulted complex. Having a quired the processes that are the basis of the simulation, it bas been possible to verify its potentiality of application not only from a didactic point of view but also experimental. The analysis of the procedures that this model uses bas caused in some applications the recognition of some limits. The programme does not keep some important phenomena in the cultivation of the Triticum durum in Sicily, as the ear deidration and the sterility of little ear of cereals. The first phenomena is due to sciricco's wind that can happen during the filling period while the second is often Iinked to the high temperatures reached in the earing time. The trial bas been carried out in two phases. In the first it has proceeded to the calibration and validation of the crop model. Subsequently it has been valued the effects of the climate change, in tenn of climate variability of temperature and precipitation and the increase of the concentration of carbon dioxide in the atmosphere, on the yield of Triticum durum in two Sicilian habitat, Palenno and Catania. The specification used for the calibration and validation of the model are referred to very heterogeneous experimental! conditions for the soil typology, environmental conditions, phenological phases of the plants The analysis of the vulnerability of the triticum durum to the climatic variability has show a greater influence of precipitations the temperature on the mean yields. The pattern has simulated quite weIl the increase of the yields due to the fertilizing effect of the CO_2. The results obtained with application of the scenario of climate change, derived by Reg CM MM4of the NCAR (National Center Atmospheric Research, Boulder, Colorado U.S.A.) indicat
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- agricultural sciencesagriculture, forestry, and fisheriesagriculturegrains and oilseedscereals
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Topic(s)
Data not availableCall for proposal
Data not availableFunding Scheme
ACM - Preparatory, accompanying and support measuresCoordinator
90010 ALTAVILLA MILICIA
Italy