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Identification of opportunities for improved nitrogen management in sugarcane cropping systems using the newly developed Canegro-N model

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Nutrient Cycling in Agroecosystems Aims and scope Submit manuscript

Abstract

Sugarcane (Saccharum spp. L.) cropping systems require the application of substantial amounts of fertiliser nitrogen (N), especially under irrigated conditions and in areas where rainfall is sufficient for high dry matter production. Inadequate N applications can reduce yields, while excess N or inappropriately timed applications can result in the export of significant quantities of N to the environment as a pollutant. An N subroutine has now been included into the Canegro crop model which is based in the DSSAT (Decision Support System for Agrotechnology Transfer) framework. Data from a field and lysimeter trial conducted in Pongola, South Africa were used to calibrate and evaluate the model, following which the model was used to investigate two potential approaches to improve fertiliser N management. Findings were, firstly, that measured and simulated results show on-farm monitoring of soil inorganic N levels and adjusting fertiliser applications accordingly has considerable potential for reducing fertiliser requirements and N losses. Secondly, during the periods between active crop growth cycles, significant amounts of inorganic N can accumulate in a soil as a result of mineralisation. Accounting for this N enables fertiliser N application to be delayed to some time after planting or commencement of ratoon growth, thereby significantly reducing the risky period during which applied N may be leached. For the system modelled in this study, inorganic N made available through organic matter mineralisation was sufficient to match initial crop demand for ~55 days following ratooning. When ammonium-based fertilisers are used, lower volatilisation losses can also be expected with this strategy. These findings now need to be confirmed in field trials. Modelling, combined with adequate measured data for calibration purposes, can be a powerful tool to identify improved N management practices for a particular cropping system. In its current form, Canegro-N can be used to improve our understanding of N dynamics in sugarcane production systems and to guide management practices and future research.

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References

  • Ball-Coehlo B, Sampaio EVSB, Tiessen H, Stewart JWB (1992) Root dynamics in plant and ratoon crops of sugar cane. Plant Soil 142:297–305

    Article  Google Scholar 

  • Bandaranayake W, Qian YL, Parton WJ, Ojima DS, Follet RF (2003) Estimation of soil organic carbon changes in turfgrass systems using the century model. Agron J 95:558–563

    Article  Google Scholar 

  • Bohl HP, Mitchell DC, Penny RS, Roth CH (2000) Nitrogen losses via subsurface flow from sugar cane on floodplain soils in the Australian wet tropics. Proc Aust Soc Sugar Cane Technol 22:302–307

    Google Scholar 

  • Bowen WT, Jones JW, Carsky RJ, Quintana JO (1993) Evaluation of the nitrogen submodel of CERES-Maize following legume green manure incorporation. Agron J 85:153–159

    Article  CAS  Google Scholar 

  • Camargo PB (1989) Dinâmica do nitrogênio dos fertilizantes: uréia (15N) e aquamônia (15N) incorporados ao solo na cultura de cana-de-açúcar. Dissertação (Mestrado)—Centro de Energia Nuclear na Agricultura, Universidade de São Paulo, Piracicaba, 104 pp

  • Cantarella H, Trivelin PCO, Contin TLM, Dias FLF, Rossetto R, Marcelino R, Coimbra RB, Quaggio JA (2008) Ammonia volatilisation from urease inhibitor treated urea applied to sugarcane trash blankets. Sci Agric 65:397–401

    Article  CAS  Google Scholar 

  • Corwin DL, Waggoner BL, Rhoades JD (1991) A functional model of solute transport that accounts for bypass flow. J Environ Qual 20:647–658

    Article  CAS  Google Scholar 

  • Courtaillac N, Baran R, Oliver R, Casabianca H, Ganry F (1998) Efficiency of nitrogen fertilizer in the sugarcane-vertical system in Guadeloupe according to growth and ratoon age of the cane. Nutr Cycl Agroecosyst 52:9–17

    Article  Google Scholar 

  • De Jager JM (1994) Accuracy of vegetation evaporation ratio formulae for estimating final wheat yield. Water SA 20:307–314

    Google Scholar 

  • De Willgen P (1991) Nitrogen turnover in the soil-crop system; comparison of fourteen simulation models. Fert Res 27:141–150

    Article  Google Scholar 

  • Du Preez CC, Burger R, du T (1986) Anorganiese stikstof in mieliegronde van die Oranje-Vrystaat en transvaal met planttyd, 1984. S Afr J Plant Soil 3:148–150

    Google Scholar 

  • Eavis BW, Cumberbatch ER (1977) Sugar cane growth in response to mulch fertiliser and saline-alkali subsoils. Agron J 69:839–842

    Article  Google Scholar 

  • Freney JR, Denmead OT, Wood AW, Saffigna PG, Chapman LS, Ham GJ, Hurney AP, Stewart RL (1992) Factors controlling ammonia loss from trash covered sugarcane fields fertilized with urea. Fert Res 31:341–349

    Article  CAS  Google Scholar 

  • Ghiberto PJ, Libardi PL, Brito AS, Trivelin PCO (2009) Leaching of nutrients from a sugarcane crop growing on an Ultisol in Brazil. Agric Wat Manage 96:1443–1448

    Article  Google Scholar 

  • Gijsman AJ, Hoogenboom G, Parton WJ, Kerridge PC (2002) Modifying DSSAT crop models for low-input agricultural soils using a soil organic matter-residue module from century. Agron J 94:462–474

    Article  Google Scholar 

  • Glover J (1968) The behaviour of the root-system of sugarcane at and after harvest. Proc S Afr Sugar Technol Assoc 42:133–135

    Google Scholar 

  • Godwin DC, Jones CA (1991) Nitrogen dynamics in soil-plant systems. In: Hanks J, Ritchie JT (eds) Modeling plant and soil systems. ASA, CSSA, SSSA, Madison, Wisconsin, pp 287–339

  • Godwin DC, Singh U (1998) Nitrogen balance and crop response to nitrogen in upland and lowland cropping systems. In: Tsuji GY, Hoogenboom G, Thornton PK (eds) Understanding options for agricultural production. System approaches for sustainable agricultural development. Kluwer Academic Publishers, Dordrecht, pp 55–77

    Google Scholar 

  • Jaynes DB, Dinnes DL, Meek DW, Karlen DL, Cambardella CA, Colvin TS (2004) Using the late spring nitrate test to reduce nitrate loss within a watershed. J Environ Qual 33:669–677

    Article  PubMed  CAS  Google Scholar 

  • Jones CA, Kiniry JR (1986) CERES-Maize: a simulation model of maize growth and development. Texas A&M University Press, College Station

    Google Scholar 

  • Jones JW, Hoogenboom G, Porter CH, Boote KJ, Batchelor WD, Hunt LA, Wilkens PW, Singh U, Gijsman AJ, Ritchie JT (2003) The DSSAT cropping system model. Eur J Agron 18:235–265

    Article  Google Scholar 

  • Laclau PB, Laclau JP (2009) Growth of the whole root system for a plant crop of sugarcane under rainfed and irrigated environments in Brazil. Field Crops Res 114:351–360

    Article  Google Scholar 

  • Liebig MA, Doran JW, Gardner JC (1996) Evaluation of a field test kit for measuring selected soil quality indicators. Agron J 88:683–686

    Article  Google Scholar 

  • Meyer JH, Wood RA (1994) Nitrogen management of sugarcane in South Africa. Proc Aust Soc Sugar Cane Technol 16:93–103

    Google Scholar 

  • Meyer JH, Wood RA, Leibbrandt NB (1986) Recent advances in determining the N requirement of sugarcane in the South Africa sugar industry. S Afr J Plant Soil 6:59–63

    Google Scholar 

  • Misselbrook TH, Nicholson FA, Chambers BJ (2005) Predicting ammonia losses following the application of livestock manure to land. Bioresour Technol 96:159–168

    Article  PubMed  CAS  Google Scholar 

  • Parton WJ, Scurlock JMO, Ojima DS, Gilmanov TG, Scholes RJ, Schimel DS, Kirchner T, Menaut JC, Seastedt T, Garcia moya E, Apinan Kamnalrut K, Kinyamario JI (1993) Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide. Global Biogeochem Cycles 7:785–809

    Article  CAS  Google Scholar 

  • Prasertsak P, Freney JR, Denmead OT, Saffigna PG, Prove BG, Reghenzani JR (2002) Effect of fertiliser placement on nitrogen loss from sugarcane in tropical Queensland. Nutr Cycl Agroecosys 87:21–31

    Google Scholar 

  • Ritchie JT (1998) Soil water balance and plant stress. In: Tsuji GY, Hoogenboom G, Thornton PK (eds) Understanding options for agricultural production. System approaches for sustainable agricultural development. Kluwer Academic Publishers, Dordrecht, pp 41–54

    Google Scholar 

  • Schmidhalter U (2005) Development of a quick on-farm test to determine nitrate levels in soil. J Plant Nutr Soil Sci 168:432–438

    Article  CAS  Google Scholar 

  • Scholefield D, Titchen NM (1995) Development of a rapid field test for soil mineral nitrogen and its application to grazed grassland. Soil Use Manage 11:33–43

    Article  Google Scholar 

  • Schroeder BL, Wood AW (2001) Assessment of nitrogen mineralising potential of soils in two different landscapes in the Australian sugar industry-Implications for N fertiliser management. Proc Aust Soc Sugar Cane Technol 23:281–288

    Google Scholar 

  • Sherlock RR, Freney JR, Bacon PE, van der Weerden TJ (1995) Estimating ammonia volatilization from unsaturated urea fertiliser and urine affected soils by an indirect method. Fert Res 40:197–205

    Article  Google Scholar 

  • Singels A, Jones M, van den Berg M (2008) DSSAT v4.5 Canegro Sugarcane Plant Module Scientific Documentation. International Consortium for Sugarcane Modelling. http://sasri.sasa.org.za/misc/icsm.html

  • Soil Classification Working Group (1991) Soil classification–a taxonomic system for South Africa. Memoirs on the agricultural natural resources of South Africa No. 15. Department of Agricultural Development, Pretoria

    Google Scholar 

  • Sommer SG, Hutchings N (1995) Techniques and strategies for the reduction of ammonia emission from agriculture. Water Air Soil Poll 85:237–248

    Article  CAS  Google Scholar 

  • Southwick LM, Willis GH, Johnson DC, Selim HM (1995) Leaching of nitrate, atrazine, and metribuzin from sugarcane in Southern Louisiana. J Environ Qual 24:684–690

    Article  CAS  Google Scholar 

  • Srivastava SC (1970) A new concept to guide timing of nitrogen fertilization for sugarcane. Plant Soil 32:373–381

    Article  Google Scholar 

  • Stewart LK, Charlesworth PB, Bristow KL, Thorburn PJ (2003) Estimating deep drainage and nitrate leaching from the root zone under sugarcane using APSIM-SWIM. Agric Wat Manage 81:315–334

    Article  Google Scholar 

  • Stöckle CO, Donatelli M, Nelson R (2003) CropSyst, a cropping systems simulation model. Eur J Agron 18:289–307

    Article  Google Scholar 

  • Thompson GD (1991) The growth of sugarcane variety N14 at Pongola. Mount edgecombe research report no. 7. SASEX, South Africa

    Google Scholar 

  • Thorburn PJ, Biggs JS, Collins K, Probert ME (2010) Using the APSIM model to estimate nitrous oxide emissions from diverse Australian sugarcane production systems. Agric Ecosyst Environ 136:343–350

    Article  CAS  Google Scholar 

  • Van Antwerpen R, Meyer JH (1996) Soil degradation under sugarcane cultivation in northern Kwa-Zulu Natal. Proc S Afr Sug Technol Ass 70:29–33

    Google Scholar 

  • Van der Laan M (2009) Development, testing and application of a crop nitrogen and phosphorus model to investigate leaching losses at the local scale. PhD Dissertation, University of Pretoria, South Africa

  • Van der Laan M, Miles N (in press) Nutrition of the South African sugar crop: current status and long-term trends. Int Sug J

  • Van der Laan M, Stirzaker RJ, Annandale JG, Bristow KL, du Preez CC (2010) Monitoring and modelling draining and resident soil water nitrate concentrations to estimate leaching losses. Agric Wat Manage 97:1779–1786

    Article  Google Scholar 

  • Verburg K, Keating BA, Probert ME, Bristow KL, Huth NI (1998) Nitrate leaching under sugarcane: Interactions between crop yield, soil type and management strategies. In: Michalk DL, Pratley JE (eds) Agronomy—growing a greener future. Proceedings of 9th Australian Society of Agronomy Conference, Wagga Wagga, NSW, 20–23 July. Australian Society of Agronomy, pp 717–720

  • Westermann DT, Crothers SE (1980) Measuring soil nitrogen mineralization under field conditions. Agron J 72:1009–1012

    Article  CAS  Google Scholar 

  • Wild A (1981) Mass flow and diffusion. In: Greenland DJ, Hayes MHB (eds) The chemistry of soil processes. Wiley, New York, pp 37–80

    Google Scholar 

  • Wilmot CJ (1982) Some comments on the evaluation of model performance. Bull Am Meteorol Soc 64:1309–1313

    Article  Google Scholar 

  • Wolf J, Hack-Ten Broeke MJD, Rötter R (2005) Simulation of nitrogen leaching in sandy soils in The Netherlands with the ANIMO model and the integrated modelling system STONE. Agric Ecosyst Environ 105:523–540

    Article  CAS  Google Scholar 

  • Wood RA (1972) Factors affecting nitrogen utilization by sugarcane in South Africa. PhD Dissertation, University of Natal, South Africa

  • Wood GH, Wood RA (1967) The estimation of cane root development and distribution using radiophosphorus. Proc S Afr Sugar Technol Assoc 41:160–168

    Google Scholar 

  • Wood AW, Muchow RC, Robertson MJ (1996) Growth of sugarcane under high input conditions in tropical Australia. III. Accumulation, partitioning and use of nitrogen. Field Crops Res 48:223–233

    Article  Google Scholar 

  • Wood AW, Schroeder BL, Dwyer R (2010) Opportunities for improving the efficiency of use of nitrogen fertiliser in the Australian sugar industry. Proc Aust Soc Sugar Cane Technol 32:221–233

    Google Scholar 

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van der Laan, M., Miles, N., Annandale, J.G. et al. Identification of opportunities for improved nitrogen management in sugarcane cropping systems using the newly developed Canegro-N model. Nutr Cycl Agroecosyst 90, 391–404 (2011). https://doi.org/10.1007/s10705-011-9440-6

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