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Ventrella, D.; Giglio, L.; Charfeddine, M. |
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Title |
Climate change and nitrogen fertilization for winter durum wheat and tomato cultivated in Southern Italy |
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Conference Article |
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2014 |
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18th Nitrogen Workshop. The nitrogen challenge: building a blueprint for nitrogen use efficiency and food security, 2014-06-30 to 2014-07-03 |
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MA @ admin @ |
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2878 |
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Virkajärvi, P.; Jing, Q.; Bélanger, G.; Baron, V.; Bonesmo, H.; Young, D. |
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Title |
Modeling grassland with CATIMO – focus on the second cut |
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Conference Article |
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Year |
2013 |
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9(1) |
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9-13 |
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MA @ admin @ |
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2881 |
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Toscano, P.; Genesio, L.; Crisci, A.; Vaccari, F.P.; Ferrari, E.; La Cava, P.; Porter, J.R.; Gioli, B. |
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Title |
Empirical modelling of regional and national durum wheat quality |
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Journal Article |
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Year |
2015 |
Publication |
Agricultural and Forest Meteorology |
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Agricultural and Forest Meteorology |
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204 |
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67-78 |
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Keywords |
durum wheat; grain protein content; forecasting tool; modelling; gridded data; red winter-wheat; grain quality; climate-change; mediterranean conditions; interannual variability; protein-composition; co2 concentration; vapor-pressure; carbon-dioxide; crop yield |
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Abstract |
The production of durum wheat in the Mediterranean basin is expected to experience increased variability in yield and quality as a consequence of climate change. To assess how environmental variables and agronomic practices affect grain protein content (GPC), a novel approach based on monthly gridded input data has been implemented to develop empirical model, and validated on historical time series to assess its capability to reproduce observed spatial and inter-annual GPC variability. The model was applied in four Italian regions and at the whole national scale and proved reliable and usable for operational purposes also in a forecast ‘real-time’ mode before harvesting. Precipitable water during autumn to winter and air temperature from anthesis to harvest were extremely important influences on GPC; these and additional variables, included in a linear model, were able to account for 95% of the variability in GPC that has occurred in the last 15 years in Italy. Our results are a unique example of the use of modelling as a predictive real-time platform and are a useful tool to understand better and forecast the impacts of future climate change projections on durum wheat production and quality. |
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2016-10-31 |
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English |
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0168-1923 |
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CropM, ft_macsur |
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MA @ admin @ |
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4818 |
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Walkiewicz, A.; Brzezinska, M. |
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Title |
Methane oxidation in forest and fertilized soils |
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2013 |
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12th International Workshop for Young Scientists BioPhys Spring 2013. Lublin, Poland., 2013-05-21 to 2013-05-23 |
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MA @ admin @ |
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2891 |
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Author |
Wallach, D.; Mearns, L.O.; Asseng, S.; Rötter, R.P. |
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Title |
Using ensembles of models in climate and crop modelling |
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2014 |
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XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29 |
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MA @ admin @ |
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2893 |
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