The Library
The performance of the EU-Rotate_N model in predicting the growth and nitrogen uptake of rotations of field vegetable crops in a Mediterranean environment
Tools
Tools
Tools
Nendel, Claas, Venezia, A., Piro, F., Ren, T., Lillywhite, Robert and Rahn, C. (Clive). (2012) The performance of the EU-Rotate_N model in predicting the growth and nitrogen uptake of rotations of field vegetable crops in a Mediterranean environment. The Journal of Agricultural Science . ISSN 1469-5146 (In Press)
![[img]](http://wrap.warwick.ac.uk/style/images/fileicons/text.png) |
Text
WRAP_Lillywhite_280812-nendel_et_al_2012_mediterranean.pdf - Published Version Restricted to Repository staff only until 14 August 2013. Download (441Kb) |
Abstract
The EU-Rotate_N model was developed as a tool to estimate the growth and nitrogen (N) uptake of vegetable crop rotations across a wide range of European climatic conditions and to assess the economic and environmental consequences of alternative management strategies. The model has been evaluated under field conditions in Germany and Norway and under greenhouse conditions in China. The present work evaluated the model using Italian data to evaluate its performance in a warm and dry environment. Data were collected from four 2-year field rotations, which included lettuce (Lactuca sativa L.), fennel (Foeniculum vulgare Mill.), spinach (Spinacia oleracea L.), broccoli (Brassica oleracea L. var. italica Plenck) and white cabbage (B. oleracea convar. capitata var. alba L.); each rotation used three different rates of N fertilizer (average recommended N1, assumed farmer's practice N2=N1+0·3×N1 and a zero control N0). Although the model was not calibrated prior to running the simulations, results for above-ground dry matter biomass, crop residue biomass, crop N concentration and crop N uptake were promising. However, soil mineral N predictions to 0·6 m depth were poor. The main problem with the prediction of the test variables was the poor ability to capture N mineralization in some autumn periods and an inappropriate parameterization of fennel. In conclusion, the model performed well, giving results comparable with other bio-physical process simulation models, but for more complex crop rotations. The model has the potential for application in Mediterranean environments for field vegetable production.
| Item Type: | Journal Article |
|---|---|
| Subjects: | S Agriculture > SB Plant culture |
| Divisions: | Faculty of Science > Life Sciences (2010- ) |
| Library of Congress Subject Headings (LCSH): | Crop rotation -- Mathematical models, Vegetables -- Italy -- Mathematical models, Nitrogen fertilizers -- Mathematical models |
| Journal or Publication Title: | The Journal of Agricultural Science |
| Publisher: | Cambridge University Press |
| Place of Publication: | New York / Heidelberg |
| ISBN: | 978-3-540-70528-4 |
| ISSN: | 1469-5146 |
| Book Title: | Springer Encyclopaedia of Applied and Computational Mathematics |
| Date: | September 2012 |
| Status: | Peer Reviewed |
| Publication Status: | In Press |
| Access rights to Published version: | Restricted or Subscription Access |
| Funder: | European Union (EU), Institute of Forest Ecology Eberswalde (ZALF) |
| Grant number: | QLK5-2002-01100 (EU) |
| References: | AGOSTINI, F., TEI, F., SILGRAM, M., FARNESELLI, M., BENINCASA, P. & ALLER, M. F. (2010). Decreasing nitrate leaching in vegetable crops with better N management. In Genetic Engineering, Biofertilisation, Soil Quality and Organic Farming (Ed. E. Lichtfouse), pp. 147–200. Sustainable Agriculture Reviews 4. Dordrecht, NL: Springer. ALLEN, R. G., PEREIRA, L. S., RAES, D. & SMITH, M. (1998). Crop Evapotranspiration. Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. Rome: FAO. CAO, L. K., CHEN, G. J. & LU, Y. T. (2005). Nitrogen leaching in vegetable fields in the suburbs of Shanghai. Pedosphere 15, 641–645. CAVERO, J., PLANT, R. E., SHENNAN, C., FRIEDMAN, D. B., WILLIAMS, J. R., KINIRY, J.R. & BENSON, V.W. (1999). Modeling nitrogen cycling in tomato-safflower and tomato-wheat rotations. Agricultural Systems 60, 123–135. CREWS, T.E. & PEOPLES, M. B. (2005). Can the synchrony of nitrogen supply and crop demand be improved in legume and fertilizer-based agroecosystems? A review. Nutrient Cycling in Agroecosystems 72, 101–120. CROHN, D.M. & VALENZUELA-SOLANO, C. (2003). Modeling temperature effects on decomposition. Journal of Environmental Engineering 129, 1149–1156. DE PAZ, J.M. & RAMOS, C. (2004). Simulation of nitrate leaching for different nitrogen fertilization rates in a region of Valencia (Spain) using a GIS-GLEAMS system. Agriculture Ecosystems and Environment 103, 59–73. DUSENBURY, M. P., ENGEL, R. E., MILLER, P. R., LEMKE, R.L. & WALLANDER, R. (2008). Nitrous oxide emissions from a northern great plains soil as influenced by nitrogen management and cropping systems. Journal of Environmental Quality 37, 542–550. GALLARDO, M., THOMPSON, R. B., LOPEZ-TORAL, J. R., FERNANDEZ, M.D. & GRANADOS, R. (2006). Effect of applied N concentration in a fertigated vegetable crop on soil solution nitrate and nitrate leaching loss. In Acta Horticulturae (ISHS): Proceedings of the International Symposium towards Ecologically Sound Fertilisation Strategies for Field Vegetable Production 700, 221–224. GREENWOOD, D. J. (2001). Modeling N-response of field vegetable crops grown under diverse conditions with N_ABLE: a review. Journal of Plant Nutrition 24, 1799– 1815. GREENWOOD, D. J., RAHN, C. R., DRAYCOTT, A., VAIDYANATHAN, L.V. & PATERSON, C. (1996). Modelling and measurement of the effects of fertilizer-N and crop residue incorporation on N-dynamics in vegetable cropping. Soil Use and Management 12, 13–24. GUERTAL, E. A. (2009). Slow-release nitrogen fertilizers in vegetable production: a review. Horttechnology 19, 16–19. GUO, R. Y., NENDEL, C., RAHN, C. R., JIANG, C.G. & CHEN, Q. (2010). Tracking nitrogen losses in a greenhouse crop rotation experiment in North China using the EU-Rotate_N simulation model. Environmental Pollution 158, 2218– 2229. HALVORSON, A. D., BARTOLO, M. E., REULE, C.A. & BERRADA, A. (2008). Nitrogen effects on onion yield under drip and furrow irrigation. Agronomy Journal 100, 1062– 1069. HANSEN, S., JENSEN, H. E., NIELSEN, N. E. & SVENDSEN, H. (1991). Simulation of nitrogen dynamics and biomass production in winter-wheat using the Danish simulation-model DAISY. Fertilizer Research 27, 245–259. JACKSON, L. E. (2000). Fates and losses of nitrogen from a nitrogen-15-labeled cover crop in an intensively managed vegetable system. Soil Science Society of America Journal 64, 1404–1412. JENSEN, L. S., SALO, T., PALMASON, F., BRELAND, T. A., HENRIKSEN, T. M., STENBERG, B., PEDERSEN, A., LUNDSTRÖM, C. & ESALA, M. (2005). Influence of biochemical quality on C and N mineralisation from a broad variety of plant materials in soil. Plant and Soil 273, 307–326. KERSEBAUM, K. C., HECKER, J.-M., MIRSCHEL, W. & WEGEHENKEL, M. (2007). Modelling water and nutrient dynamics in soil-crop systems: a comparison of simulation models applied on common data sets. In Modelling Water and Nutrient Dynamics in Soil-Crop Systems (Eds K. C. Kersebaum, J.-M. Hecker, W. Mirschel & M. Wegehenkel), pp. 1–17. Dordrecht, NL: Springer. LAFOLIE, F., BRUCKLER, L., DE COCKBORNE, A.M. & LABOUCARIE, C. (1997). Modeling the water transport and nitrogen dynamics in irrigated salad crops. Irrigation Science 17, 95–104. LEENHARDT, D., LAFOLIE, F., BRUCKLER, L. & DE COCKBORNE, A.M. (1998). Evaluating irrigation strategies for lettuce by simulation: 2. Nitrogen budget. European Journal of Agronomy 8, 267–282. LUGATO, E., PAUSTIAN, K. & GIARDINI, L. (2007). Modelling soil organic carbon dynamics in two long-term experiments of north-eastern Italy. Agriculture Ecosystems and Environment 120, 423–432. MEI, B. L., ZHENG, X. H., XIE, B. H., DONG, H., ZHOU, Z. X., WANG, R., DENG, J., CUI, F., TONG, H. & ZHU, J. G. (2009). Nitric oxide emissions from conventional vegetable fields in southeastern China. Atmospheric Environment 43, 2762–2769. MUHAMMETOGLU, A. & YARDIMCI, A. (2006). A fuzzy logic approach to assess groundwater pollution levels below agricultural fields. Environmental Monitoring and Assessment 118, 337–354. NASH, J.E. & SUTCLIFFE, J. V. (1970). River flow forecasting through conceptual models, Part I – A discussion of principles. Journal of Hydrology 10, 282–290. NENDEL, C. (2009). Evaluation of best management practices for N fertilisation in regional field vegetable production with a small-scale simulation model. European Journal of Agronomy 30, 110–118. NENDEL, C., SCHMUTZ, U., VENEZIA, A., PIRO, F. & RAHN, C.R. (2009). Converting simulated total dry matter to fresh marketable yield for field vegetables at a range of nitrogen supply levels. Plant and Soil 325, 319–334. PALOSUO, T., KERSEBAUM, K. C., ANGULO, C., HLAVINKA, P., MORIONDO, M., OLESEN, J. E., PATIL, R. H., RUGET, F., RUMBAUR, C., TAKÁC ˇ , J., TRNKA, M., BINDI, M., CALDAG˘ , B., EWERT, F., FERRISE, R., MIRSCHEL, W., SAYLAN, L., ŠIŠKA, B. & RÖTTER, R. (2011). Simulation of winter wheat yield and its variability in different climates of Europe. A comparison of eight crop growth models. European Journal of Agronomy 35, 103–114. PEDERSEN, A., ZHANG, K. F., THORUP-KRISTENSEN, K. & JENSEN, L. S. (2010). Modelling diverse root density dynamics and deep nitrogen uptake - A simple approach. Plant and Soil 326, 493–510. R DEVELOPMENT CORE TEAM (2011). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. RAHN, C. R., ZANG, K. F., LILLYWHITE, R. D., RAMOS, C., DOLTRA, J., DE PAZ, J. M., RILEY, H., FINK, M., NENDEL, C., THORUP-KRISTENSEN, K., PEDERSEN, A., PIRO, F., VENEZIA, A., FIRTH, C., SCHMUTZ, U., RAYNS, F. & STROHMEYER, K. (2010). EU-Rotate_N – a European decision support system – to predict environmental and economic consequences of the management of nitrogen fertiliser in crop rotations. European Journal of Horticultural Science 75, 20–32. RAMOS, C., AGUT, A. & LIDON, A. L. (2002). Nitrate leaching in important crops of the Valencian Community region (Spain). Environmental Pollution 118, 215–223. RINALDI, M., VENTRELLA, D. & GAGLIANO, C. (2007). Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy. Agricultural Water Management 87, 91–105. RÖTTER, R. P., PALOSUO, T., KERSEBAUM, K. C., ANGULO, C., BINDI, M., EWERT, F., FERRISE, R., HLAVINKA, P., MORIONDO, M., NENDEL, C., OLESEN, J. E., PATIL, R., RUGET, F., TAKÁC ˇ , J. & TRNKA, M. (2012). Simulation of spring barley yield in different climatic zones of Northern and Central Europe – a comparison of nine crop models. Field Crops Research 133, 23–36. SAXTON, K. E., RAWLS, W. J., ROMBERGER, J.S. & PAPENDICK, R. I. (1986). Estimating generalized soil-water characteristics from texture. Soil Science Society of America Journal 50, 1031–1036. SHAEFFER, D. L. (1980). Model evaluation methodology applicable to environmental assessment models. Ecological Modelling 8, 275–295. SIERRA, J. (1997). Temperature and soil moisture dependence of N mineralization in intact soil cores. Soil Biology and Biochemistry 29, 1557–1563. STANSKI, H. R., WILSON, L. J. & BURROWS, W. R. (1989). Survey of Common Verification Measures in Meteorology. WMO World Weather Watch Technical Report 8, WMO/TD No. 358. Geneva, Switzerland: WMO. SUTTON, M. A., OENEMA, O., ERISMAN, J.W., LEIP, A., VAN GRINSVEN, H.&WINIWARTER,W. (2011). Too much of a good thing. Nature 472, 159–161. WANG, Q. R., LI, Y.C. & KLASSEN, W. (2007). Changes of soil microbial biomass carbon and nitrogen with cover crops and irrigation in a tomato field. Journal of Plant Nutrition 30, 623–639. WESTERVELD, S. M., MCKEOWN, A.W. & MCDONALD, M.R. (2006). Seasonal nitrogen partitioning and nitrogen uptake of carrots as affected by nitrogen application in a mineral and an organic soil. Hortscience 41, 1332–1338. WICKHAM, H. (2009). ggplot2: Elegant Graphics for Data Analysis. New York, USA: Springer. WILLMOTT, C. J. &WICKS, D. E. (1980). An empirical method for the spatial interpolation of monthly precipitation within California. Physical Geography 1, 59–73. ZAMBRANO-BIGIARINI, M. (2010). hydroGOF: Goodness-of-fit Functions for Comparison of Simulated and Observed Hydrological Time Series. R package, Version 0.2-1. Available from: http://www.rforge.net/hydroGOF/ (verified 23 July 2012). ZOTARELLI, L., DUKES, M. D., SCHOLBERG, J. M. S., MUNOZCARPENA, R. & ICERMAN, J. (2009). Tomato nitrogen accumulation and fertilizer use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling. Agricultural Water Management 96, 1247– 1258. |
| URI: | http://wrap.warwick.ac.uk/id/eprint/49699 |
Actions (login required)
 |
View Item |
