Abstract
A simulation model, developed from a previously published one generally gave a reasonably good description of the effects of N-fertilizer on plant dry weight and N-content of 12 different vegetable crops grown in 26 experiments on separate sites within the same field.
Apart from standard weather and soil data, the model required as inputs, the maximum yield of dry matter, the fractional recovery of N by the crop (with minimum fertilizer), the plant mass and N content (at the time of planting or drilling), the dates of planting or drilling and of harvest. Simulations always started from the previous autumn. A constant value of soil mineral-N at that time and the same temperature dependent mineralization was assumed for all experiments.
The validity of the model was tested by a range of statistical procedures. In 19 out of the 26 experiments there were no detectable trends in the deviations of the simulated from the measured dry matter yields with increase in fertilizer-N. The model over-estimated the %N in the dry matter of some crops at the highest level of fertilizer-N and was unsatisfactory for one of the crops. With these exceptions, the sum of squares of the differences between measured and simulated %N was 22% of the sum of squares of the measured values above the mean. When N-fertilizer was withheld, the average N-uptake over all experiments was 69 kg N ha−1, whereas that simulated was 59 kg N ha−1; the average difference between simulated and measured uptake for each experiment was 20 kg N ha−1. Simplification of the model by incorporating the same relationship between critical %N and plant weight for all crops did not lead to appreciable loss of accuracy. A user-friendly version of the model has been compiled so that it will run on IBM-compatible microcomputers with outputs that can be coupled with high level graphics packages.
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References
Addiscott TM (1983) Kinetics and temperature relationships of mineralization and nitrification in Rothamsted soils with differing histories. J Soil Sci 34: 343–353
Angus JF and Moncur MW (1985) Models of growth and development of wheat in relation to plant nitrogen. Aus J Agric Res 36: 537–43.
Aslyng HC and Hansen S (1985) Radiation water and nitrogen balance in crop production. Field experiments and simulation models. Wateros and Nitcros, Copenhagan: The Royal Veterinary and Agricultural University
Beckett PHT and Webster R (1971) Soil variability: a review. Soil Fert 34: 1–15.
Belmans C, Wesseling JG and Freddes RA (1983) Simulation model of the water balance of a cropped soil: SWATRE. J Hydrol, The Netherlands 63: 271–286
Bhat KKS, Flowers TH and O'Callaghan JR (1980) A model for the simulation of the fate of nitrogen in farm wastes on land application. J Agric Sci, Camb 94: 183–193
Black TA, Gardner WR and Thurtell GW (1969) The prediction of evaporation, drainage and soil water storage for a bare soil. Soil Sci Soc Am Proc 33: 655–660
Burns IG (1974) A model for predicting the redistribution of salts applied to fallow soils after excess rainfall or evaporation. J Soil Sci 25: 165–178
Burns IG (1980) Influence of the spatial distribution of nitrate on the uptake of N by plants: a review and a model for rooting depth. J Soil Sci 31: 155–173
Burns IG (1980) A simple model for predicting the effects of winter leaching of residual nitrate on the nitrogen fertilizer need of spring crops. J Soil Sci 31, 187–202
De Willigen, P. (1987). Roots, plant production and nutrient use efficiency Ph.D. Thesis Agricultural University Wageningen, The Netherlands, pp. 282.
French RJ and Shultz JE (1984) Water use efficiency of wheat in a Mediterranean-type environment. II Some limitations to efficiency. Aust J Agric Res 35: 765–775
Greenwood DJ, Barnes A, Liu K, Hunt J, Cleaver TJ and Loquens, SHM (1980) Relationships between the critical concentrations of nitrogen phosphorus and potassium in 17 different vegetable crops and duration of growth. J Sci Fd Agric 31: 1343–1353
Greenwood DJ, Cleaver TJ, Loquens SMH and Niendorf KB (1977) Relationship between plant weight and growing period for vegetable crops in the United Kingdom. Ann Bot 41: 987–997
Greenwood DJ, Cleaver TJ, Turner MK, Hunt J, Niendorf KB and Loquens SHM (1980) Comparison of the effects of potassium fertilizer on the yield, potassium content and quality of 22 different vegetable and agricultural crops. J Agric Sci Camb 95: 441–456
Greenwood DJ, Cleaver TJ, Turner MK, Hunt J, Niendorf KB and Loquens SHM (1980) Comparison of the effects of nitrogen fertilizer on the yield, nitrogen content and quality of 21 different vegetable and agricultural crops. J Agric Sci Camb 95: 471–485
Greenwood DJ, Gerwitz A, Stone DA and Barnes A (1982) Root development of vegetable crops. Pl Soil 68: 75–96
Greenwood DJ, Neeteson JJ and Draycott A (1985) Response of potatoes to N-fertilizer. Pl Soil 85: 163–203
Greenwood DJ, Neeteson JJ and Draycott A (1986) Quantitative relationships for the dependence of growth rate of arable crops on their nitrogen content, dry weight and aerial environment. Pl Soil 91: 281–301
Greenwood DJ, Verstraeten LMJ, Draycott A and Sutherland RA (1987) Response of winter wheat to N-fertilizer: Dynamic model. Fert Res 12: 139–156
Hillel D (1971) Soil and water. Physical principles and processes. London: Academic Press pp 201–206
Houba VJG (1973) Effects of nitrogen dressings on growth and development of sugar beet. Agric Res Rep 791 Wageningen: Pudoc.
Maddoff FR (1982) Soil nitrogen availability under grassland and cultivated corn. Pl Soil 68: 395–398
Ministry of Agriculture, Fisheries and Food (1975) General laboratory services booklet No. 2. Lime and fertilizer recommendations for vegetables and bulbs based on soil analysis SBN 11 2405096 London: Her Majesty's Stationery Office
Monteith JL (1986) How do crops manipulate water supply and demand? Phil Trans Roy Soc London, A316: 245–259
Rao PSC, Davidson JM and Jessup RE (1981) Simulation of nitrogen behaviour in the root zone of cropped land areas receiving organic wastes. In Stimulation of nitrogen behaviour of soil-plant systems (Ed. Frissel MJ and van Veen JA) pp 81–95 Wageningen: Pudoc
Seligman NG and Van Keulen H (1981) PAPRAN: A simulation model of annual pasture production limited by rainfall and nitrogen. In Simulation of nitrogen behaviour of soil-plant systems (Ed. Frissel MJ and Van Veen JA) pp 192–221 Wageningen: Pudoc
Siddig AA (1982) Computer aided irrigation scheduling. PhD thesis, Silsoe College, Cranfield Institute of Technology, UK
Sutherland RA, Wright CC, Verstraeten LMJ and Greenwood DJ (1986) The deficiency of the ‘economic optimum’ application for evaluating models which predict crop yield response to nitrogen fertiliser. Fert Res 10: 251–262
Van Veen JA and Frissel MJ (1981) Simulation model of the behaviour of N in soil. In Simulation of nitrogen behaviour of soil-plant systems (Eds. Frissel MJ and van Veen JA) pp 126–144 Wageningen: Pudoc
Wetselaar R and Farquhar GD (1980) Nitrogen losses from tops of plants. Adv Agron 33: 263–302
Whisler FD, Acock B, Baker DM, Fye RE, Hodges HF, Lambert JR, Lemmon HE, McKinnon JM and Reddy VR (1986) Crop simulation models in agronomic systems. Adv Agron 40: 141–208
Whitmore AP and Addiscott TM (1985) Computer simulation of changes in soil nitrogen during winter under a crop of winter wheat. In Proceedings of the North West European Study Group Meeting for the Assessment of Nitrogen Fertilizer Requirement. Second Meeting 14–16 May, 1984, Haren, Groningen, (Ed. K Dilz and JJ Neeteson) pp 133–137: Haren: Institute for Soil Fertility
Whitmore AP and Addiscott TM (1987) Applications of computer modelling to predict mineral nitrogen in soil and nitrogen in crops. Soil Use and Management 3: 38–43
Williams JR, Jones CA and Dyke PT (1984) A modelling approach to determining the relationship between erosion and soil productivity. Trans Am Soc Agric Eng 27: 129–144
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Greenwood, D.J., Draycott, A. Experimental validation of an N-response model for widely different crops. Fertilizer Research 18, 153–174 (1988). https://doi.org/10.1007/BF01049511
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DOI: https://doi.org/10.1007/BF01049511