In this review, we analyze how the acquisition of resources, e.g. carbon (C) and nitrogen (N), and the distribution of assimilates between plant organs is described by common agricultural crop growth models. We consider agricultural crop growth models that are integrated into larger agro-ecosystem or agricultural soilplant-atmosphere system models. These system models are developed to simulate not only plant growth processes but also energy and matter fluxes between atmosphere and soil including decomposition of plant residues and C- and N-turnover of soil organic matter. Within the crop models different approaches are used to up-scale eco-physiological processes from the plant-organ level to the plant and canopy level, they are discussed with respect to data requirement and adequate representation of resource acquisition. Considering mainly trees, basic concepts used to model assimilate partitioning in plants have been classified as empirical, teleonomic, based on source-sink relations or based on transport and transformation processes. Application of these concepts in agricultural crop models are presented and examined. Moreover, a survey of modeling approaches is given that consider the impact of different kinds of biotic and abiotic stresses on partitioning in crop growth models.
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References
Amthor JS. (1988) Growth and maintenance respiration in leaves of bean (Phaseolus vulgaris L.) exposed to ozone in open-top chambers in the field. New Phytol 110:319–325
Amthor J, Goulden M, Munger J, Wofsy S. (1994) Testing a mechanistic model of forest-canopy mass and energy exchange using eddy correlation: carbon dioxide and ozone uptake by a mixed oak-maple stand. Funct Plant Biol 21:623–651
Asseng S, Milroy SP. (2006) Simulation of environmental and genetic effects on grain protein concentration in wheat. Eur J Agron 25:119–128
Bazzaz F. (1997) Allocation of resources in plants: state of the science and critical questions. In: Bazzaz F, Grace J (eds) Plant resource allocation. Academic, San Diego, pp 1–37
Beek J, Frissel M. (1973) Simulation of nitrogen behavior in soils. PUDOC, Wageningen
Belmans C, Wesseling J, Feddes R. (1983) Simulation model of the water balance of a cropped soil: SWATRE. J Hydrol 63:271–286
Berghuijs-van Dijk J, Rijtema P, Roest C. (1985) ANIMO Agricultural Nitrogen Model. NOTA 1671. Institute for Land and Water Management Research, Wageningen
Beyschlag W, Ryel R. (2007) Canopy photosynthesis modeling. In: Pugnaire F, Valladares F (eds) Functional plant ecology, 2nd edn. CRC, Boca Raton, pp 627–653
Boogaard H, van Diepen C, Rötter R, Cabrera J, van Laar H. (1998) WOFOST 7.1, User’s guide for the WOFOST 7.1 crop growth simulation model and WOFOST control center 1.5. Tech. rep., DLO Winand Staaring Centre
Boote K, Jones J, Mishoe J, Berger R. (1983) Coupling pests to crop growth simulators to predict yield reductions. Phytopathology 73:1581–1587
Bouman BAM, van Keulen H, van Laar HH, Rabbinge R. (1996) The “School of de Wit” crop growth simulation models: A pedigree and historical overview. Agric Sys 52:171–198
Brisson N, Gary C, Justes E, Roche R, Mary B, Ripoche D, Zimmer D, Sierra J, Bertuzzi P, Burger P, Bussiere F, Cabidoche YM, Cellier P, Debaeke P, Gaudillere JP, Henault C, Maraux F, Seguin B, Sinoquet H. (2003) An overview of the crop model. Eur J Agron 18:309–332
Bruhn J, Fry W. (1981) Analysis of potato light blight epidemiology by simulation modelling. Phytopathology 71:612–616
Bryant J, Chapin F, Klein D. (1983) Carbon/nutrient balance of boreal plants in relation to verte-brate herbivory. Oikos 40:357–368
Chen JM, Liu J, Cihlar J, Goulden ML. (1999) Daily canopy photosynthesis model through tem-poral and spatial scaling for remote sensing applications. Ecol Model 124:99–119
Coley P, Bryant J, Chapin F. (1985) Resource availability and plant antiherbivore defense. Science 230:895–899
de Pury D, Farquhar G. (1997) Simple scaling of photosynthesis from leaves to canopies without errors of big-leaf models. Plant Cell Environ 20:537–557
de Willigen P. (1991) Nitrogen turnover in the soil-crop system: comparison of fourteen simulation models. Fert Res 27:141–149
Diekkrüger B, Arning M. (1995) Simulation of water fluxes using different methods for estimating soil parameters. Ecol Model 81:83–95
Diekkrüger B, Söndgerath D, Kersebaum KC, McVoy CW. (1995) Validity of agroecosystem models a comparison of results of different models applied to the same data set. Ecol Model 81:3–29
Dixon RA. (2001) Natural products and plant disease resistance. Nature 411:843–847
Dutt G, Shaffer M, Moore W. (1972) Computer simulation model of dynamic biophysiochemical processes in soils. Univ. Arizona Agric. Exp. Stn. Tech. Bull. 196
Eitzinger J, Trnka M, Hosch J, Zalud Z, Dubrovsky M. (2004) Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions. Ecol Model 171:223–246
Engel T, Priesack E. (1993) Expert-N, a building block system of nitrogen models as a resource for advice, research, water management and policy. In: Eijsackers H, Hamers T (eds) Integrated soil and sediment research: a basis for proper protection. Kluwer Academic, Dordrecht, pp 503–507
Engel T, Klöcking B, Priesack E, Schaaf T. (1993) Simulationsmodelle zur Stickstoffdynamik, vol. 25 of Agrarinformatik. Verlag Eugen Ulmer, Stuttgart
Farquhar GD, Caemmerer S, Berry JA. (1980) A biochemical model of photosynthetic CO2 assimi-lation in leaves of C3 species. Planta 149:78–90
Feddes RA, Raats P. (2004) Parameterizing the soil-water-plant root system. In: Feddes RA, De Rooij G, van Dam JC (eds) Unsaturated-Zone Modelling, Wageningen UR Frontis Series 6. Kluwer Academic, Dordrecht, pp 95–141
Feddes R, Kowalik P, Zaradny H. (1978) Simulation of field water use and crop yield. Simulation Monographs. Pudoc, Wageningen
Fine PV, Miller Z, Mesones I, Irazuzta S, Appel H, Stevens M, Sääksjärvi I, Schultz J, Coley P. (2006) The growth-defense trade-off and habitat specialization by plants in Amazonian forests. Ecology 87(Suppl.):150–162
Franko U, Oelschlagel B, Schenk S. (1995) Simulation of temperature-, water- and nitrogen dynamics using the model CANDY. Ecol Model 81:213–222
Friend AD. (2001) Modelling canopy CO2 fluxes: are “big-leaf” simplifications justified? Global Ecol Biogeogr 10:603–619
Frissel M, Poelstra P, Reiniger P. (1970) Chromatographic transport through soils. III. A simula-tion model for the valuation of the apparent diffusion coefficient in undisturbed soils with triti-ated water. Plant Soil 33:161–176
Gayler S, Priesack E. (2005) PLATHO, a simulation model of resource allocation in the plant-soil system. Tech. rep., GSF – Institute of Soil Ecology. http://www.sfb607.de/english/projects/c2/ platho.pdf, Cited 31 Dec 2007
Gayler S, Wang E, Priesack E, Schaaf T, Maidl FX. (2002) Modelling biomass growth, N-uptake and phenological development of potato crop. Geoderma 105:367–383
Gayler S, Grams T, Heller W, Treutter D, Priesack E. (2008) A dynamic model of environmental effects on allocation to carbon-based secondary compounds in juvenile trees. Ann Bot. 101, 1089–1098 doi:10.1093/aob/mcm169
Genard M, Dauzat J, Franck N, Lescourret F, Moitrier N, Vaast P, Vercambre G. (2008) Carbon allocation in fruit trees: from theory to modelling. Trees 22, 269–282 doi: 10.1007/s00468-007-0176-5
Gilding B. (1992) Mathematical modelling of saturated and unsaturated groundwater flow. In: Shutie X (ed) Flow and transport in porous media. Summer School, Beijing, China, 8.–26. August 1988. World Scientific, Singapore, pp 1–166
Glynn C, Herms DA, Egawa M, Hansen R, Mattson WJ. (2003) Effects of nutrient availability on biomass allocation as well as constitutive and rapid induced herbivore resistance in poplar. Oikos 101:385–397
Goudriaan J. (1977) Crop micrometeorology: a simulation study. Simulation Monographs. Pudoc, Wageningen
Goudriaan J. (1986) A simple and fast numerical method for the computation of daily totals of crop photosynthesis. Agric Forest Meteorol 38:249–254
Goudriaan J, van Laar H. (1994) Modelling potential crop growth processes. Textbook with exer-cises. Kluwer Academic, Dordrecht
Hansen S, Jensen H, Nielsen N, Svendsen H. (1990) DAISY – Soil Plant Atmosphere System Model. The Royal Veterinary and Agricultural University, Copenhagen
Herms DA, Mattson WJ. (1992) The dilemma of plants: to grow or defend. Q Rev Biol 67:283–335
Hilbert DW. (1990) Optimization of plant root: shoot ratios and internal nitrogen concentration. Ann Bot 66:91–99
Hutson J, Wagenet R. (1992) LEACHM: Leaching Estimation And Chemistry Model: A process-based model of water and solute movement, transformations, plant uptake and chemical reac-tions in the unsaturated zone. Version 3.0. Research Series No. 93–3. Cornell University, Ithaca, NY
Huwe B, van der Ploeg RR. (1991) WHNSIM – a soil nitrogen simulation model for Southern Germany. Nutr Cycl Agroecosys 27:331–339
Johnsson H, Bergström L, Jansson P, Paustian K. (1987) Simulated nitrogen dynamics and losses in a layered agricultural soil. Agric Ecosys Env 18:333–356
Jones C, Kiniry J. (1986) CERES-Maize: a simulation model of maize growth and development. Texas A&M University Press, Temple, TX
Jones CG, Hartley SE. (1999) A protein competition model of phenolic allocation. Oikos 86:27–44
Jones C, Bland W, Ritchie J, Williams JR. (1991) Simulation of root growth. In: Hanks J, Ritchie J (eds) Modeling plant and soil systems, Agronomy 31. ASA, CSSA, SSSA, Madison, WI, pp 91–123
Jones JW, Keating BA, Porter CH. (2001) Approaches to modular model development. Agric Sys 70:421–443
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
Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ. (2003) An overview of APSIM, a model designed for farming systems simulation. Eur J Agron 18:267–288
Kersebaum KC. (1989) Die Simulation der Stickstoff-Dynamik von Ackerböden. Ph.D. thesis, Universität Hannover
Kersebaum KC. (1995) Application of a simple management model to simulate water and nitrogen dynamics. Ecol Model 81:145–156
Kersebaum K, Hecker JM, 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: Kersebaum K, Hecker JM, Mirschel W, Wegehenkel M (eds) Modelling water and nutrient dynamics in soil-crop systems. Springer, Dordrecht, pp 1–17
Koricheva J. (2002) Meta-analysis of sources of variation in fitness costs of plant antiherbivore defenses. Ecology 83:176–190
Kroes J, van Dam J. (2003) Reference Manual SWAP 3.03. Alterra-report 773. Alterra, Green World Research, Wageningen, The Netherlands
Kroes J, Roelsma J. (2007) Simulation of water and nitrogen flows on field scale; application of the SWAP-ANIMO model for the Müncheberg data set. In: Kersebaum K, Hecker JM, Mirschel W, Wegehenkel M (eds) Modelling water and nutrient dynamics in soil-crop systems. Springer, Dordrecht, pp 111–128
Kropff MJ, van Laar HH. (1993) Modelling crop-weed interactions. CAB International, Wallingford, UK
Kropff MJ, Teng PS, Rabbinge R. (1995) The challenge of linking pest and crop models. Agr Syst 49:413–434
Lacointe A. (2000) Carbon allocation among tree organs: a review of basic processes and repre-sentation in functional–structural tree models. Ann For Sci 57:521–533
Leonard R, Knisel W, Still D. (1987) GLEAMS: grondwater loading effects of agricultural man-agement systems. Trans ASAE 30:1403–1418
LeRoux X, Lacointe A, Escobar-Gutiérrez A, Dizès SL. (2001) Carbon-based models of individual tree growth: a critical appraisal. Ann For Sci 58:469–506
Leser C, Treutter D. (2005) Effects of nitrogen supply on growth, contents of phenolic compounds and pathogen (scab) resistance of apple trees. Physiol Plantarum 123:49–56
Leuning R, Kelliher FM, Pury DGG, Schultze ED. (1995) Leaf nitrogen, photosynthesis, conduct-ance and transpiration: scaling from leaves to canopies. Plant Cell Environ 18:1183–1200
Li C, Frolking S, Frolking T. (1992) A model of nitrous oxide evolution from soil driven by rainfall events. 1. Model structure and sensitivity. J Geophys Res 97:9759
Lizaso JI, Batchelor WD, Boote KJ, Westgate ME. (2005) Development of a leaf-level canopy assimilation model for CERES-maize. Agron J 97:722–733
Marcelis L, Heuvelink E. (2007) Concepts of modelling carbon allocation among plant organs. In: Vos J, Marcelis L, de Visser P, Struijk P, Evers J (eds) Functional–structural plant modelling in crop production, Wageningen UR Frontis Series 22. Springer, Dordrecht, The Netherlands, pp 103–111
Martre P, Jamieson PD, Semenov MA, Zyskowski RF, Porter JR, Triboi E. (2006) Modelling pro-tein content and composition in relation to crop nitrogen dynamics for wheat. Eur J Agron 25:138–154
Mattson W, Julkunen-Tiitto R, Herms D. (2005) CO2 enrichment and carbon partitioning to phe-nolics: do plant responses accord better with the protein competition or the growth-differentiation balance model? Oikos 111:337–347
Matyssek R, Agerer R, Ernst D, Munch JC, Osswald W, Pretzsch H, Priesack E, Schnyder H, Treutter D. (2005) The plant’s capacity in regulating resource demand. Plant Biol 7:560–580
McIsaac G, Martin D, Watts D. (1985) Users guide to NITWAT – a nitrogen and water manage-ment model. Agr. Eng. Dpt. University of Nebraska, Lincoln, NA
Mehran M, Tanji K. (1974) Computer modeling of nitrogen transformations in soil. J Environ Qual 3:391–396
Mittelstraß K, Treutter D, Pleßl M, Heller W, Elstner E, Heiser I. (2006) Modification of primary and secondary metabolism of potato plants by nitrogen application differentially affects resist-ance to phytophthora infestans and alternaria solani. Plant Biol 8:653–661
Molina J, Clapp C, Shaffer M, Chichester F, Larson W. (1983) NCSOIL – a model of nitrogen and carbon transformations in soil: description, calibration and behavior. Soil Sci Soc Am J 47:85–91
Monteith J. (1973) Principles of environmental physics. Edward Arnold, London
Nikolov NT, Massman WJ, Schoettle AW. (1995) Coupling biochemical and biophysical processes at the leaf level: an equilibrium photosynthesis model for leaves of C3 plants. Ecol Model 80:205–235
Norman J. (1993) Scaling processes between leaf and canopy levels. In: Ehleringer J, Field C (eds) Scaling Physilogical Processes: Leaf to Global. Academic, London, pp 43–75
Parton W, Ojima D, Cole C, Schimel D. (1994) A general model for soil organic matter dynamics: sensitivity to litter chemistry, texture and management. In: Bryant R, Arnold R (eds) Quantitative modeling of soil forming processes. Soil Sci. Soc. Am., Madison, WI, pp 147–167
Penning de Vries F, Jansen D, ten Berge H, Bakema A. (1989) Simulation of ecophysiological processes of growth in several annual crops. Simulation Monographs 29. Pudoc, Wageningen, NL
Plöchl M, Lyons T, Ollerenshaw J, Barnes J. (2000) Simulating ozone detoxification in the leaf apoplast through the direct reaction with ascorbate. Planta 210:454–467
Priesack E. (2006) Expert-N Dokumentation der Modell-Bibliothek. FAM Bericht 60. Hieronymus, München
Rabbinge R, Bastiaans L. (1989) Combination models, crop growth and pests and diseases. In: Rabbinge R, Ward S, Van Laar H (eds) Simulation and systems management in crop protec-tion, vols. 32 of Simulation Monographs. Pudoc, Wageningen, The Netherlands, pp 217–239
Ritchie J, Godwin D, Otter-Nacke S. (1987) CERES-Wheat – A simulation model of wheat growth and development. Texas A&M University Press, College Station, TX
Röhrig M, Stützel H. (2001) A model for light competition between vegetable crops and weeds. Eur J Agron 14:13–29
Ros B, Thümmler F, Wenzel G. (2005) Comparative analysis of phytophthora infestans induced gene expression in potato cultivars with different levels of resistance. Plant Biol 7:686–693
Seligman N, van Keulen H. (1981) PAPRAN: a simulation model of annual pasture production limited by rainfall and nitrogen. In: Frissel M, van Veen J (eds) Simulation of nitrogen behav-ior of soil-plant systems, Proc. Workshop. PUDOC, Wageningen, pp 192–221
Shaffer M, Halvorson A, Pierce F. (1991) Nitrate leaching and economic analysis package (NLEAP): model description and application. In: Follet R, Keeney D, Cruse R (eds), Managing nitrogen for groundwater quality and farm profitability. Soil Sci. Soc. Am., Madison, WI, pp 285–322
Shaffer M, Ma L, Hansen S (eds). (2001) Modeling carbon and nitrogen dynamics for soil manage-ment. Lewis Publishers, Boca Raton
Smith JU, Bradbury N, Addiscott TM. (1996) SUNDIAL: a PC-based system for simulating nitro-gen dynamics in arable land. Agron J 88:38–43
Sperr C, Engel T, Priesack E. (1993) Expert-N, Aufbau, Bedienung und Nutzungsmöglichkeiten des Prototyps. In: Engel T, Baldioli M (eds) Expert-N und Wachstumsmodelle. Referate des Anwenderseminars im März 1993 in Weihenstephan, Agrarinformatik 24. Verlag Eugen Ulmer, Stuttgart, pp 41–57
Spitters C. (1986) Separating the diffuse and direct component of global radiation and its implica-tions for modeling canopy photsynthesis. II. Calculations of canopy photosynthesis. Agric Forest Meteorol 38:231–242
Spitters C, van Keulen H, van Kraalingen D. (1989) A simple and universal crop growth simulator: SUCROS87. In: Rabbinge R, Ward S, van Laar H (eds) Simulation and systems management in crop production. Simulation Monographs 32. Pudoc, Wageningen, pp 147–181
Stamp N. (2003) Out of the quagmire of plant defense-hypotheses. Q Rev Biol 78:23–55
Stenger R, Priesack E, Barkle G, Sperr C. (1999) Expert-N A tool for simulating nitrogen and car-bon dynamics in the soil-plant-atmosphere system. In: Tomer M, Robinson M, Gielen G (eds) NZ Land Treatment Collective Proceedings Technical Session 20: Modelling of Land Treatment Systems. New Plymouth, New Zealand, pp 19–28
Stockle CO, Martin SA, Campbell GS. (1994) CropSyst, a cropping systems simulation model: Water/nitrogen budgets and crop yield. Agric Sys 46:335–359
Stockle CO, Donatelli M, Nelson R. (2003) CropSyst, a cropping systems simulation model. Eur J Agron 18:289–307
Tanji K, Gupta S. (1978) Computer simulation modeling for nitrogen in irrigated croplands. In: Nielsen D, MacDonald AJ (eds) Nitrogen in the environment, vol. I. Academic, New York, pp 79–120
Thornley J, Johnson I. (1990) Plant and crop modelling. A mathematical approach to plant and crop physiology. Clarendon, Oxford, UK
Tiktak A, van Grinsven HJM. (1995) Review of sixteen forest-soil-atmosphere models. Ecol Model 83:35–53
Triboi E, Martre P, Girousse C, Ravel C, Triboi-Blondel AM. (2006) Unravelling environmental and genetic relationships between grain yield and nitrogen concentration for wheat. Eur J Agron 25:108–118
Tuomi J, Fagerstrom T, Niemela P. (1991) Carbon allocation, phenotypic plasticity, and induced defense. In: Tallamy D, Raupp M (eds) Phytochemical induction by herbivores. Wiley, New York, N.Y. USA, pp 85–104
van den Berg M, Driessen PM. (2002) Water uptake in crop growth models for land use systems analysis: I. A review of approaches and their pedigrees. Agric Ecosys Env 92:21–36
van den Berg M, Driessen PM, Rabbinge R. (2002) Water uptake in crop growth models for land use systems analysis: II. Comparison of three simple approaches. Ecol Model 148:233–250
van Genuchten MT, Davidson J, Wierenga P. (1974) An evaluation of kinetic and equilibrium equations for the prediction of pesticide movement through porous media. Soil Sci Soc Am Proc 38:29–35
van Ittersum MK, Leffelaar PA, van Keulen H, Kropff MJ, Bastiaans L, Goudriaan J. (2003) On approaches and applications of the Wageningen crop models. Eur J Agron 18:201–234
van Laar HH, Goudriaan J, van Keulen H. (1997) SUCROS97: Simulation of crop growth for potential and water-limited production situations. Quantitative Approaches in System Analysis 14. C.T. de Wit Graduate School for Production Ecology and Resource Conservation, Wageningen
van Oijen M, Dreccer M, Firsching KH, Schnieders B. (2004) Simple equations for dynamic mod-els of the effect of CO2 and O3 on light-use efficiency and crop growth. Ecol Model 179:39–60
Vanclooster M, Viaene P, Diels J, Feyen J. (1995) A deterministic evaluation analysis applied to an integrated soil-crop model. Ecol Model 81:183–195
Vos J, Marcelis L, de Visser P, Struijk P, Evers J (eds). (2007) Functional-Structural Plant Modelling in Crop Production. Wageningen UR Frontis Series 22. Springer, Dordrecht, The Netherlands
Wang E, Engel T. (2000) SPASS: a generic process-oriented crop model with versatile windows interfaces. Env Model Softw 15:179–188
Wang E, Smith C. (2004) Modelling the growth and water uptake function of plant root systems: a review. Aust J Agric Res 55:501–523
Wang YP, Leuning R. (1998) A two-leaf model for canopy conductance, photosynthesis and parti-tioning of available energy I: Model description and comparison with a multi-layered model. Agric Forest Meteorol 91:89–111
Wang E, Robertson MJ, Hammer GL, Carberry PS, Holzworth D, Meinke H, Chapman SC, Hargreaves JNG, Huth NI, McLean G. (2002) Development of a generic crop model template in the cropping system model APSIM. Eur J Agron 18:121–140
Watts D, Hanks J. (1978) A soil-water-nitrogen model for irrigated corn on sandy soils. Soil Sci Soc Am J 42:492–499
Wegehenkel M. (2000) Test of a modelling system for simulating water balances and plant growth using various different complex approaches. Ecol Model 129:39–64
Weiss A. (2003) Introduction. Agron J 95:1–3
Weiss A, Moreno-Sotomayer A. (2006) Simulating grain mass and nitrogen concentration in wheat. Eur J Agron 25:129–137
White JW. (2006) From genome to wheat: emerging opportunities for modelling wheat growth and development. Eur J Agron 25:79–88
Wierenga P, de Wit C. (1970) Simulation of heat transfer in soils. Soil Sci Soc Am Proc 34:845–848
Williams JR, Renard K. (1985) Assessment of soil erosion and crop productivity with process models (EPIC). In: Follet R, Stewart B (eds) Soil erosion and crop productivity. Soil Sci. Soc. Am., Madision, WI, pp 68–102
Willocquet L, Savary S, Fernandez L, Elazegui F, Castilla N, Zhu D, Tang Q, Huang S, Lin X, Singh H, Srivastava R. (2002) Structure and validation of RICEPEST, a production situation-driven, crop growth model simulating rice yield response to multiple pest injuries for tropical Asia. Ecol Model 153:247–268
Wolf J, van Oijen M. (2003) Model simulation of effects of changes in climate and atmospheric CO2 and O3 on tuber yield potential of potato (cv. Bintje) in the European Union. Agr Ecosyst Environ 94:141–157
Yang HS, Dobermann A, Lindquist JL, Walters DT, Arkebauer TJ, Cassman KG. (2004) Hybrid-maize–a maize simulation model that combines two crop modeling approaches. Field Crops Res 87:131–154
Yin X, Schapendonk AHCM. (2004) Siulating the partitioning of biomass and nitrogen between roots and shoot in crop and grass plants. NJAS Wagen J Life Sci 51:407–426
Yin X, van Laar H. (2005) Crop Systems Dynamics. Wageningen Academic, Wageningen
Yin X, Schapendonk AHCM, Kropff MJ, van Oijen M, Bindraban PS. (2000) A generic equation for nitrogen-limited leaf area index and its application in crop growth models for predicting leaf senescence. Ann Bot 85:579–585
Yin X, Lantinga EA, Schapendonk AHCM, Zhong X. (2003) Some Quantitative Relationships between Leaf Area Index and Canopy Nitrogen Content and Distribution. Ann Bot 91:893–903
Yin X, Van Oijen M, Schapendonk AHCM. (2004) Extension of a biochemical model for the gen-eralized stoichiometry of electron transport limited C3 photosynthesis. Plant Cell Environ 27:1211–1222
Zhang Y, Li C, Zhou X, Moore B III. (2002) A simulation model linking crop growth and soil bio-geochemistry for sustainable agriculture. Ecol Model 151:75–108
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Priesack, E., Gayler, S. (2009). Agricultural Crop Models: Concepts of Resource Acquisition and Assimilate Partitioning. In: Lüttge, U., Beyschlag, W., Büdel, B., Francis, D. (eds) Progress in Botany. Progress in Botany, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68421-3_9
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