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Author |
Lai, R.; Seddaiu, G.; Gennaro, L.; Roggero, P.P. |
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Title |
Effects of nitrogen fertilizer sources and temperature on soil CO2 efflux in Italian ryegrass crop under Mediterranean conditions |
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Journal Article |
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Year |
2012 |
Publication |
Italian Journal of Agronomy |
Abbreviated Journal |
Ital. J. Agron. |
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7 |
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2 |
Pages |
27 |
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2039-6805 |
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LiveM, ftnotmacsur |
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MA @ admin @ |
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4478 |
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Ventrella, D.; Giglio, L.; Charfeddine, M.; Lopez, R.; Castellini, M.; Sollitto, D.; Castrignanò, A.; Fornaro, F. |
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Title |
Climate change impact on crop rotations of winter durum wheat and tomato in southern Italy: yield analysis and soil fertility |
Type |
Journal Article |
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Year |
2012 |
Publication |
Italian Journal of Agronomy |
Abbreviated Journal |
Ital. J. Agron. |
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Volume |
7 |
Issue |
1 |
Pages |
15 |
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Keywords |
DSSAT model; CENTURY-module; climate change; winter durum wheat; tomato, crop rotation |
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Abstract |
Cropping systems are affected by climate change because of the strong relationship between crop development, growth, yield, CO2 atmospheric concentration and climate conditions. The increasing temperatures and the reduction of available water resources may result in negative impacts on the agricultural activity in Mediterranean environments than other areas. In this study the CERES-Wheat and CROPGRO-Tomato models were used to assess the effects of climate change on winter wheat (Triticum durum L.) and processing tomato (Lycopersicon aesculentum Mill.) in one of most productive areas of Italy, located in the northern part of the Puglia region. In particular we have compared three different General Circulation Models (HadCM3, CCSM3, ECHAM5) subjected to a statistical downscaling under two future IPCC scenarios (B1 and A2). The analysis was carried out at regional scale repeating the simulations for seven homogeneous area characterizing the spatial variability of the region. In the second part of the study, considering only HadCM3 data set, climate change impact on long-term sequences of the two crops combined in three crop rotations were evaluated in terms of yield performances and soil fertility as indicated by the soil organic content of carbon and nitrogen. The comparison between GCMs showed no significant differences for winter durum wheat yield, while noticeable differences were found for yield and irrigation requirements of tomato. Under future scenarios, the production levels were reduced for tomato, whereas positive yield effects were observed for winter durum wheat. For winter durum wheat the simulation indicated that two- and three-year rotations, including one year of tomato cultivation, improved the cereal yield and this positive effect maintained its validity also in future scenarios. For both crops higher requirements of water and nitrogen were predicted under future scenarios. This result coupled with the decrease of yield caused negative reduction of water use efficiency and nitrogen use efficiency for tomato cultivation. |
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2039-6805 1125-4718 |
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CropM, ftnotmacsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4481 |
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Author |
Leogrande, R.; Lopedota, O.; Montemurro, F.; Vitti, C.; Ventrella, D. |
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Title |
Effects of irrigation regime and salinity on soil characteristics and yield of tomato |
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Journal Article |
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Year |
2012 |
Publication |
Italian Journal of Agronomy |
Abbreviated Journal |
Ital. J. Agron. |
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Volume |
7 |
Issue |
1 |
Pages |
8 |
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Keywords |
saline water; irrigation volume; Lycopersicon esculentum; soil solution |
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A field experiment was conducted in Mediterranean conditions to evaluate the effects of different irrigation volumes and water quality on yield performance of tomato crop. The tomato crop was irrigated reestablishing 50 (I1), 75 (I2) and 100% (I3) of the crop evapotranspiration (ETc) with two water quality: fresh water with EC 0.9 dS m-1 (FW) and saline water with EC 6 dSm-1 (SW). At harvest, total and marketable yield, weight, number, total soluble solids (TSS) and dry matter of fruit were calculated, The results showed no statistical differences among the three different irrigation volumes on tomato yield and quality. The salinity treatment did not affect yield, probably because the soil salinity in the root zone on average remained below the threshold of tomato salt tolerance. Instead, salinity improved fruit quality parameters as dry matter and TSS by 13 and 8%, respectively. After the first field application of saline water, soil saturated extract cations (SSEC), electrical conductivity of soil paste extract (ECe), sodium absorption ratio (SAR) and exchangeable sodium percentage (ESP) cations increased; the largest increase of cations, in particular of Na, occurred in the top layer. At the end of the experiment, the absolute value of SSEC, ECe and SAR, for all the effects studied, were lower than those recorded in 2007. This behavior was suitable to the reduced volumes of treatments administered in 2009 in respect to the 2007. Furthermore, the higher total rainfall recorded in 2009 increased the leaching and downward movement of salts out of the sampling depth. |
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2039-6805 |
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CropM, ftnotmacsur |
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Call Number |
MA @ admin @ |
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4476 |
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Author |
Bernardoni, E.; Acutis, M.; Ventrella, D. |
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Title |
Long-term durum wheat monoculture: modelling and future projection |
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Journal Article |
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Year |
2012 |
Publication |
Italian Journal of Agronomy |
Abbreviated Journal |
Ital. J. Agron. |
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Volume |
7 |
Issue |
1 |
Pages |
13 |
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2039-6805 1125-4718 |
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CropM, ftnotmacsur |
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Call Number |
MA @ admin @ |
Serial |
4468 |
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Author |
Wallach, D.; Nissanka, S.P.; Karunaratne, A.S.; Weerakoon, W.M.W.; Thorburn, P.J.; Boote, K.J.; Jones, J.W. |
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Title |
Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: A case study on rice |
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Journal Article |
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Year |
2016 |
Publication |
European Journal of Agronomy |
Abbreviated Journal |
European Journal of Agronomy |
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Keywords |
Uncertainty; Phenology; Parameter uncertainty; Multi-model ensemble; Generalized least squares; Rice; Crop model; APSIM; DSSAT |
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Abstract |
We consider predictions of the impact of climate warming on rice development times in Sri Lanka. The major emphasis is on the uncertainty of the predictions, and in particular on the estimation of mean squared error of prediction. Three contributions to mean squared error are considered. The first is parameter uncertainty that results from model calibration. To take proper account of the complex data structure, generalized least squares is used to estimate the parameters and the variance-covariance matrix of the parameter estimators. The second contribution is model structure uncertainty, which we estimate using two different models. An ANOVA analysis is used to separate the contributions of parameter and model uncertainty to mean squared error. The third contribution is model error, which is estimated using hindcasts. Mean squared error of prediction of time from emergence to maturity, for baseline +2 °C, is estimated as 108 days2, with model error contributing 86 days2, followed by model structure uncertainty which contributes 15 days2 and parameter uncertainty which contributes 7 days2. We also show how prediction uncertainty is reduced if prediction concerns development time averaged over years, or the difference in development time between baseline and warmer temperatures. |
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2016-09-13 |
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1161-0301 |
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CropM |
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CropM; wos; ftnotmacsur; wsnotyet; |
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Call Number |
MA @ admin @ |
Serial |
4777 |
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Permanent link to this record |