Agricultural production systems modelling and software: Current status and future prospects

Environmental Modelling and Software

Volumn 72, Issue , 2015, Pages 276-286

  Holzworth, Dean P ^a   Snow, Val ^b   Janssen, Sander ^c   Athanasiadis, Ioannis N ^c,d   Donatelli, Marcello ^e   Hoogenboom, Gerrit ^f   White, Jeffrey W ^g   Thorburn, Peter ^a  

^a CSIRO   (Australia)

^b AGRESEARCH   (New Zealand)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

^e Consiglio per la Ricerca in Agricoltura ^*  (Italy)

^f WASHINGTON STATE UNIVERSITY   (United States)

^g AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Agricultural modelling; Crop modelling; Model; Reuse; Software

Indexed keywords

APPLICATION PROGRAMS; CLIMATE CHANGE; COMPUTER SOFTWARE; COMPUTER SOFTWARE REUSABILITY; ECOSYSTEMS; EMISSION CONTROL; ENVIRONMENTAL MANAGEMENT; FOOD SUPPLY; GAS EMISSIONS; GREENHOUSE GASES; MODELS;

AGRICULTURAL PRODUCTION SYSTEM; CLIMATE CHANGE MITIGATION; ECOSYSTEM SERVICES; ENVIRONMENTAL PERFORMANCE; PASTURE PRODUCTION; REUSE; SOFTWARE IMPLEMENTATION; SOFTWARE PLATFORMS;

AGRICULTURE;

EID: 84912065139     PISSN: 13648152     EISSN: 18736726     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.12.013     Document Type: Article

References (120)

1. Adam, M., Ewert, F., Leffelaar, P.A., Corbeels, M., van Keulen, H., Wery, J., CROSPAL, software that uses agronomic expert knowledge to assist modules selection for crop growth simulation. Environ. Model. Softw. 25:8 (2010), 946–955.
2. Aggarwal, P.K., Kalra, N., Chander, S., Pathak, H., InfoCrop: a dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Model description. Agric. Syst. 89:1 (2006), 1–25.
3. Archontoulis, S.V., Miguez, F.E., Moore, K.J., A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: application to soybean. Environ. Model. Softw. 62:0 (2014), 465–477.
4. Asseng, S., Ewert, F., Rosenzweig, C., Jones, J.W., Hatfield, J.L., Ruane, A.C., Boote, K.J., Thorburn, P.J., Rotter, R.P., Cammarano, D., Brisson, N., Basso, B., Martre, P., Aggarwal, P.K., Angulo, C., Bertuzzi, P., Biernath, C., Challinor, A.J., Doltra, J., Gayler, S., Goldberg, R., Grant, R., Heng, L., Hooker, J., Hunt, L.A., Ingwersen, J., Izaurralde, R.C., Kersebaum, K.C., Muller, C., Naresh Kumar, S., Nendel, C., O/’Leary, G., Olesen, J.E., Osborne, T.M., Palosuo, T., Priesack, E., Ripoche, D., Semenov, M.A., Shcherbak, I., Steduto, P., Stockle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Travasso, M., Waha, K., Wallach, D., White, J.W., Williams, J.R., Wolf, J., Uncertainty in simulating wheat yields under climate change. Nat. Clim. Change 3 (2013), 827–832.
5. Athanasiadis, I.N., Rizzoli, A.-E., Janssen, S., Andersen, E., Villa, F., Ontology for seamless integration of agricultural data and models. Sartori, F., Sicilia, M.A., Manouselia, K., (eds.) Metadata and Semantic Research, Proceedings, 2009, 282–293.
6. Athanasiadis, I.N., Villa, F., A Roadmap to Domain Specific Programming Languages for Environmental Modeling: Key Requirements and Concepts, Proceedings of the 2013 ACM Workshop on Domain-specific Modeling. 2013, ACM, Indianapolis, Indiana, USA, 27–32.
7. Balbi, S., del Prado, A., Gallejones, P., Geevan, C.P., Pardo, G., Pérez-Miñana, E., Manrique, R., Hernandez-Santiago, C., Villa, F., Modelling trade-offs among ecosystem services in agricultural production systems. Environ. Model. Softw. 72 (2015), 314–326, 10.1016/j.envsoft.2014.12.017.
8. Basso, B., Sartori, L., Bertocco, M., Cammarano, D., Martin, E.C., Grace, P.R., Economic and environmental evaluation of site-specific tillage in a maize crop in NE Italy. Eur. J. Agron. 35:2 (2011), 83–92.
9. Baveye, P.C., Laba, M., Moving away from the geostatistical lamppost: why, where, and how does the spatial heterogeneity of soils matter?. Ecol. Model. 298 (2014), 24–38.
10. Bennett, N.D., Croke, B.F.W., Guariso, G., Guillaume, J.H.A., Hamilton, S.H., Jakeman, A.J., Marsili-Libelli, S., Newham, L.T.H., Norton, J.P., Perrin, C., Pierce, S.A., Robson, B., Seppelt, R., Voinov, A.A., Fath, B.D., Andreassian, V., Characterising performance of environmental models. Environ. Model. Softw. 40:0 (2013), 1–20.
11. Bergez, J.E., Raynal, H., Launay, M., Beaudoin, N., Casellas, E., Caubel, J., Chabrier, P., Coucheney, E., Dury, J., Garcia de Cortazar-Atauri, I., Justes, E., Mary, B., Ripoche, D., Ruget, F., Evolution of the STICS crop model to tackle new environmental issues: new formalisms and integration in the modelling and simulation platform RECORD. Environ. Model. Softw. 62:0 (2014), 370–384.
12. Berntsen, J., Petersen, B.M., Jacobsen, B.H., Olesen, J.E., Hutchings, N.J., Evaluating nitrogen taxation scenarios using the dynamic whole farm simulation model FASSET. Agric. Syst. 76:3 (2003), 817–839.
13. Bezlepkina, I.V., Adenaeur, M., Kuiper, M.H., Janssen, S.J.C., Knapen, M.J.R., Kanellopoulos, A., Brouwer, F.M., Wien, J.J.F., Wolf, J., Ittersum, M.K.V., Using the SEAMLESS Integrated Framework for ex-ante Assessment of Trade Policies. 2010, Wageningen Academic Publishers, Wageningen, Netherlands.
14. Bouman, B.A.M., van Laar, H.H., Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions. Agric. Syst. 87:3 (2006), 249–273.
15. Bregaglio, S., Donatelli, M., A set of software components for the simulation of plant airborne diseases. Environ. Model. Softw. 72 (2015), 426–444.
16. Brennan, L.E., Lisson, S.N., Poulton, P.L., Carberry, P.S., Bristow, K.L., Khan, S., A farm-scale, bio-economic model for assessing investments in recycled water for irrigation. Aust. J. Agric. Res. 59:11 (2008), 1035–1048.
17. Brisson, N., Gary, C., Justes, E., Roche, R., Mary, B., Ripoche, D., Zimmer, D., Sierra, J., Bertuzzi, P., Burger, P., Bussière, F., Cabidoche, Y.M., Cellier, P., Debaeke, P., Gaudillère, J.P., Hénault, C., Maraux, F., Seguin, B., Sinoquet, H., An overview of the crop model stics. Eur. J. Agron. 18:3–4 (2003), 309–332.
18. Brown, H.E., Huth, N.I., Holzworth, D.P., Teixeira, E.I., Zyskowski, R.F., Hargreaves, J.N.G., Moot, D.J., Plant modelling framework: software for building and running crop models on the APSIM platform. Environ. Model. Softw. 62:0 (2014), 385–398.
19. Bryan, B.A., Crossman, N.D., King, D., Meyer, W.S., Landscape futures analysis: assessing the impacts of environmental targets under alternative spatial policy options and future scenarios. Environ. Model. Softw. 26:1 (2011), 83–91.
20. Carberry, P.S., Hochman, Z., McCown, R.L., Dalgliesh, N.P., Foale, M.A., Poulton, P.L., Hargreaves, J.N.G., Hargreaves, D.M.G., Cawthray, S., Hillcoat, N., Robertson, M.J., The FARMSCAPE approach to decision support: farmers’ advisers’ researchers’ monitoring, simulation, communication and performance evaluation. Agric. Syst. 74:1 (2002), 141–177.
21. Carberry, P.S., Liang, W.-L., Twomlow, S., Holzworth, D.P., Dimes, J.P., McClelland, T., Huth, N.I., Chen, F., Hochman, Z., Keating, B.A., Scope for improved eco-efficiency varies among diverse cropping systems. Proc. Natl. Acad. Sci. U. S. A. 110:21 (2013), 8381–8386.
22. Chenu, K., Chapman, S.C., Tardieu, F., McLean, G., Welcker, C., Hammer, G.L., Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in Maize: a “Gene-to-Phenotype” modeling approach. Genetics 183:4 (2009), 1507–1523.
23. Cichota, R., Snow, V.O., Vogeler, I., Wheeler, D.M., Shepherd, M.A., Describing N leaching from urine patches deposited at different times of the year with a transfer function. Soil Res. 50 (2012), 694–707.
24. Cooper, M., van Eeuwijk, F.A., Hammer, G.L., Podlich, D.W., Messina, C., Modeling QTL for complex traits: detection and context for plant breeding. Curr. Opin. Plant Biol. 12:2 (2009), 231–240.
25. David, O., Ascough II, J.C., Lloyd, W., Green, T.R., Rojas, K.W., Leavesley, G.H., Ahuja, L.R., A software engineering perspective on environmental modeling framework design: the object modeling system. Environ. Model. Softw. 39 (2013), 201–213.
26. Donatelli, M., Bregaglio, S., Confalonieri, R., De Mascellis, R., Acutis, M., A generic framework for evaluating hybrid models by reuse and composition – a case study on soil temperature simulation. Environ. Model. Softw. 62:0 (2014), 478–486.
27. Donatelli, M., Duveiller, G., Fumagalli, D., Srivastava, A., Zucchini, A., Angileri, V., Fasbender, D., Loudjani, P., Kay, S., Juskevicius, V., Toth, T., Haastrup, P., M'barek, R., Espinosa, M., Ciaian, P.S.N., Assessing Agriculture Vulnerabilities for the Design of Effective Measures for Adaption to Climate Change. 2011.
28. Donatelli, M., Russell, G., Rizzoli, A., Acutis, M., Adam, M., Athanasiadis, I., Balderacchi, M., Bechini, L., Belhouchette, H., Bellocchi, G., Bergez, J.-E., Botta, M., Braudeau, E., Bregaglio, S., Carlini, L., Casellas, E., Celette, F., Ceotto, E., Charron-Moirez, M., Confalonieri, R., Corbeels, M., Criscuolo, L., Cruz, P., di Guardo, A., Ditto, D., Dupraz, C., Duru, M., Fiorani, D., Gentile, A., Ewert, F., Gary, C., Habyarimana, E., Jouany, C., Kansou, K., Knapen, R., Filippi, G., Leffelaar, P., Manici, L., Martin, G., Martin, P., Meuter, E., Mugueta, N., Mulia, R., van Noordwijk, M., Oomen, R., Rosenmund, A., Rossi, V., Salinari, F., Serrano, A., Sorce, A., Vincent, G., Theau, J.-P., Thérond, O., Trevisan, M., Trevisiol, P., van Evert, F., Wallach, D., Wery, J., Zerourou, A., A component-based framework for simulating agricultural production and externalities. Brouwer, F.M., Ittersum, M.K., (eds.) Environmental and Agricultural Modelling, 2010, Springer Netherlands, 63–108.
29. Donatelli, M., Van Ittersum, M.K., Bindi, M., Porter, J.R., Modelling cropping systems—highlights of the symposium and preface to the special issues. Eur. J. Agron. 18:1–2 (2002), 1–11.
30. Elliott, J., Deryng, D., Müller, C., Frieler, K., Konzmann, M., Gerten, D., Glotter, M., Flörke, M., Wada, Y., Best, N., Eisner, S., Fekete, B.M., Folberth, C., Foster, I., Gosling, S.N., Haddeland, I., Khabarov, N., Ludwig, F., Masaki, Y., Olin, S., Rosenzweig, C., Ruane, A.C., Satoh, Y., Schmid, E., Stacke, T., Tang, Q., Wisser, D., Constraints and potentials of future irrigation water availability on agricultural production under climate change. Proceedings of the National Academy of Sciences, 2013.
31. Elliott, J., Kelly, D., Chryssanthacopoulos, J., Glotter, M., Jhunjhnuwala, K., Best, N., Wilde, M., Foster, I., The parallel system for integrating impact models and sectors (pSIMS). Environ. Model. Softw. 62:0 (2014), 509–516.
32. Ewert, F., Rötter, R.P., Bindi, M., Webber, H., Trnka, M., Kersebaum, K.C., Olesen, J.E., van Ittersum, M.K., Janssen, S., Rivington, M., Semenov, M.A., Wallach, D., Porter, J.R., Stewart, D., Verhagen, J., Gaiser, T., Palosuo, T., Tao, F., Nendel, C., Roggero, P.P., Bartošová L., Asseng, S., Crop modelling for integrated assessment of risk to food production from climate change. Environ. Model. Softw. 72 (2015), 287–303.
33. Fraisse, C.W., Breuer, N.E., Zierden, D., Bellow, J.G., Paz, J., Cabrera, V.E., Garcia, A.G.Y., Ingram, K.T., Hatch, U., Hoogenboom, G., Jones, J.W., O'Brien, J.J., AgClimate: a climate forecast information system for agricultural risk management in the southeastern USA. Comput. Electron. Agric. 53:1 (2006), 13–27.
34. Gregersen, J.B., Gijsbers, P.J.A., Westen, S.J.P., OpenMI: open modelling interface. J. Hydroinform. 9:3 (2007), 175–191.
35. Gregersen, J.B., Gijsbers, P.J.A., Westen, S.J.P., Blind, M., OpenMI: the essential concepts and their implications for legacy software. Adv. Geosci. 4 (2005), 37–44.
36. Hammer, G., Cooper, M., Tardieu, F., Welch, S., Walsh, B., van Eeuwijk, F., Chapman, S., Podlich, D., Models for navigating biological complexity in breeding improved crop plants. Trends Plant Sci. 11:12 (2006), 587–593.
37. Hammer, G.L., van Oosterom, E., McLean, G., Chapman, S.C., Broad, I., Harland, P., Muchow, R.C., Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. J. Exp. Bot. 61:8 (2010), 2185–2202.
38. Hochman, Z., Gobbett, D., Holzworth, D., McClelland, T., van Rees, H., Marinoni, O., Garcia, J.N., Horan, H., Quantifying yield gaps in rainfed cropping systems: a case study of wheat in Australia. Field Crops Res. 136 (2012), 85–96.
39. Hochman, Z., van Rees, H., Carberry, P.S., Hunt, J.R., McCown, R.L., Gartmann, A., Holzworth, D., van Rees, S., Dalgliesh, N.P., Long, W., Peake, A.S., Poulton, P.L., McClelland, T., Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate. Crop Pasture Sci. 60:11 (2009), 1057–1070.
40. Holzworth, D.P., Huth, N.I., deVoil, P.G., Simple software processes and tests improve the reliability and usefulness of a model. Environ. Model. Softw. 26:4 (2011), 510–516.
41. Holzworth, D.P., Huth, N.I., deVoil, P.G., Zurcher, E.J., Herrmann, N.I., McLean, G., Chenu, K., van Oosterom, E.J., Snow, V., Murphy, C., Moore, A.D., Brown, H., Whish, J.P.M., Verrall, S., Fainges, J., Bell, L.W., Peake, A.S., Poulton, P.L., Hochman, Z., Thorburn, P.J., Gaydon, D.S., Dalgliesh, N.P., Rodriguez, D., Cox, H., Chapman, S., Doherty, A., Teixeira, E., Sharp, J., Cichota, R., Vogeler, I., Li, F.Y., Wang, E., Hammer, G.L., Robertson, M.J., Dimes, J.P., Whitbread, A.M., Hunt, J., van Rees, H., McClelland, T., Carberry, P.S., Hargreaves, J.N.G., MacLeod, N., McDonald, C., Harsdorf, J., Wedgwood, S., Keating, B.A., APSIM – evolution towards a new generation of agricultural systems simulation. Environ. Model. Softw. 62:0 (2014), 327–350.
42. Hoogenboom, G., White, J.W., Messina, C.D., From genome to crop: integration through simulation modeling. Field Crops Res. 90:1 (2004), 145–163.
43. Hsiao, T.C., Heng, L., Steduto, P., Rojas-Lara, B., Raes, D., Fereres, E., AquaCrop-the FAO crop model to simulate yield response to Water: III. Parameterization and testing for Maize. Agron. J. 101:3 (2009), 448–459.
44. Hunt, L., Ash, A., MacLeod, N., McDonald, C., Scanlan, J., Bell, L., Cowley, R., Watson, I., McIvor, J., Research Opportunities for Sustainable Productivity Improvement in the Northern Beef Industry: a Scoping Study. 2013, Meat and Livestock Australia, Sydney.
45. Hunt, L.A., White, J.W., Hoogenboom, G., Agronomic data: advances in documentation and protocols for exchange and use. Agric. Syst. 70:2–3 (2001), 477–492.
46. Huth, N.I., Banabas, M., Nelson, P.N., Webb, M., Development of an oil palm cropping systems model: lessons learned and future directions. Environ. Model. Softw. 62:0 (2014), 411–419.
47. Ittersum, M.K.V., Integration across disciplines: the lessons learnt from the integrated project SEAMLESS. Asp. Appl. Biol. 93 (2009), 55–60.
48. Izaurralde, R.C., Williams, J.R., McGill, W.B., Rosenberg, N.J., Jakas, M.C.Q., Simulating soil C dynamics with EPIC: model description and testing against long-term data. Ecol. Model. 192:3–4 (2006), 362–384.
49. Janssen, S., Athanasiadis, I.N., Bezlepkina, I., Knapen, R., Li, H., Dominguez, I.P., Rizzoli, A.E., van Ittersum, M.K., Linking models for assessing agricultural land use change. Comput. Electron. Agric. 76:2 (2011), 148–160.
50. Janssen, S., Louhichi, K., Kanellopoulos, A., Zander, P., Flichman, G., Hengsdijk, H., Meuter, E., Andersen, E., Belhouchette, H., Blanco, M., Borkowski, N., Heckelei, T., Hecker, M., Li, H., Oude Lansink, A., Stokstad, G., Thorne, P., van Keulen, H., van Ittersum, M., A generic bio-economic farm model for environmental and economic assessment of agricultural systems. Environ. Manag. 46:6 (2010), 862–877.
51. Jones, J.W., Hoogenboom, G., Porter, C.H., Boote, K.J., Batchelor, W.D., Hunt, L.A., Wilkens, P.W., Singh, U., Gijsman, A.J., Ritchie, J.T., The DSSAT cropping system model. Eur. J. Agron. 18:3–4 (2003), 235–265.
52. Jones, J.W., Keating, B.A., Porter, C.H., Approaches to modular model development. Agric. Syst. 70:2–3 (2001), 421–443.
53. Kalaugher, E., Bornman, J.F., Clark, A., Beukes, P., An integrated biophysical and socio-economic framework for analysis of climate change adaptation strategies: the case of a New Zealand dairy farming system. Environ. Model. Softw. 39 (2013), 176–187.
54. Keating, B.A., Carberry, P.S., Hammer, G.L., Probert, M.E., Robertson, M.J., Holzworth, D., Huth, N.I., Hargreaves, J.N.G., Meinke, H., Hochman, Z., McLean, G., Verburg, K., Snow, V., Dimes, J.P., Silburn, M., Wang, E., Brown, S., Bristow, K.L., Asseng, S., Chapman, S., McCown, R.L., Freebairn, D.M., Smith, C.J., An overview of APSIM, a model designed for farming systems simulation. Eur. J. Agron. 18:3–4 (2003), 267–288.
55. Kersebaum, K.C., Boote, K.J., Jorgenson, J.S., Nendel, C., Bindi, M., Frühauf, C., Gaiser, T., Hoogenboom, G., Kollas, C., Olesen, J.E., Rötter, R.P., Ruget, F., Thorburn, P.J., Trnka, M., Wegehenkel, M., Analysis and classification of data sets for calibration and validation of agro-ecosystem models. Environ. Model. Softw. 72 (2015), 402–417.
56. Knapen, R., Janssen, S., Roosenschoon, O., Verweij, P., de Winter, W., Uiterwijk, M., Wien, J.-E., Evaluating OpenMI as a model integration platform across disciplines. Environ. Model. Softw. 39 (2013), 274–282.
57. Komarek, A.M., McDonald, C.K., Bell, L.W., Whish, J.P.M., Robertson, M.J., MacLeod, N.D., Bellotti, W.D., Whole-farm effects of livestock intensification in smallholder systems in Gansu, China. Agric. Syst. 109 (2012), 16–24.
58. Laniak, G.F., Olchin, G., Goodall, J., Voinov, A., Hill, M., Glynn, P., Whelan, G., Geller, G., Quinn, N., Blind, M., Peckham, S., Reaney, S., Gaber, N., Kennedy, R., Hughes, A., Integrated environmental modeling: a vision and roadmap for the future. Environ. Model. Softw. 39:0 (2013), 3–23.
59. Lilley, J.M., Moore, A.D., Trade-offs between productivity and ground cover in mixed farming systems in the Murrumbidgee catchment of New South Wales. Anim. Prod. Sci. 49:10 (2009), 837–851.
60. Liu, J., A GIS-based tool for modelling large-scale crop-water relations. Environ. Model. Softw. 24:3 (2009), 411–422.
61. Liu, Z., Yang, X., Hubbard, K.G., Lin, X., Maize potential yields and yield gaps in the changing climate of northeast China. Glob. Change Biol. 18:11 (2012), 3441–3454.
62. Lloyd, W., David, O., Ascough Ii, J.C., Rojas, K.W., Carlson, J.R., Leavesley, G.H., Krause, P., Green, T.R., Ahuja, L.R., Environmental modeling framework invasiveness: analysis and implications. Environ. Model. Softw. 26:10 (2011), 1240–1250.
63. Ma, L., Hoogenboom, G., Ahuja, L.R., Ascough, J.C., Saseendran, S.A., Evaluation of the RZWQM-CERES-Maize hybrid model for maize production. Agric. Syst. 87:3 (2006), 274–295.
64. Ma, L., Hoogenboom, G., Ahuja, L.R., Nielsen, D.C., Ascough, J.C., Development and evaluation of the RZWQM-CROPGRO hybrid model for soybean production. Agron. J. 97:4 (2005), 1172–1182.
65. Ma, S., Lardy, R., Graux, A.-I., Ben Touhami, H., Klumpp, K., Martin, R., Bellocchi, G., Regional-scale analysis of carbon and water cycles on managed grassland systems. Environ. Model. Softw. 72 (2015), 356–371, 10.1016/j.envsoft.2015.03.007.
66. Machwitz, M., Giustarini, L., Bossung, C., Frantz, D., Schlerf, M., Lilienthal, H., Wandera, L., Matgen, P., Hoffmann, L., Udelhoven, T., Enhanced biomass prediction by assimilating satellite data into a crop growth model. Environ. Model. Softw. 62:0 (2014), 437–453.
67. Marin, F.R., Thorburn, P.J., Nassif, D.S.P., Leandro, G.C., Sugarcane model intercomparison: structural differences and uncertainties under climate change. Environ. Model. Softw. 72 (2015), 372–386.
68. Matthews, K.B., Rivington, M., Blackstock, K., McCrum, G., Buchan, K., Miller, D.G., Raising the bar? – The challenges of evaluating the outcomes of environmental modelling and software. Environ. Model. Softw. 26 (2011), 247–257.
69. McNider, R.T., Handyside, C., Doty, K., Ellenburg, W.L., Cruise, J.F., Christy, J.R., Moss, D., An integrated crop and hydrologic modeling system to estimate hydrologic impacts of crop irrigation demands. Environ. Model. Softw. 72 (2015), 341–355.
70. Messina, C.D., Podlich, D., Dong, Z., Samples, M., Cooper, M., Yield-trait performance landscapes: from theory to application in breeding maize for drought tolerance. J. Exp. Bot. 62:3 (2011), 855–868.
71. Moore, A.D., Holzworth, D.P., Herrmann, N.I., Brown, H.E., de Voil, P.G., Snow, V.O., Zurcher, E.J., Huth, N.I., Modelling the manager: representing rule-based management in farming systems simulation models. Environ. Model. Softw. 62:0 (2014), 399–410.
72. Moriondo, M., Ferrise, R., Trombi, G., Brilli, L., Dibari, C., Bindi, M., Modelling olive trees and grapevines in a changing climate. Environ. Model. Softw. 72 (2015), 387–401, 10.1016/j.envsoft.2014.12.016.
73. Muetzelfeldt, R., Massheder, J., The Simile visual modelling environment. Eur. J. Agron. 18:3–4 (2003), 345–358.
74. Nijbroek, R., Hoogenboom, G., Jones, J.W., Optimizing irrigation management for a spatially variable soybean field. Agric. Syst. 76:1 (2003), 359–377.
75. Oliver, D.M., Fish, R.D., Winter, M., Hodgson, C.J., Heathwaite, A.L., Chadwick, D.R., Valuing local knowledge as a source of expert data: farmer engagement and the design of decision support systems. Environ. Model. Softw. 36 (2012), 76–85.
76. Parsons, D.C.M., Nguyen, B., Tuan, D., Lisson, S.J.C., Phung, L.Q.N.V.N., Ngoan, L.P.L., Improving cattle profitability in mixed crop-livestock systems in south central coastal Vietnam using an integrated modelling approach. Proceedings of the 5th World Congress of Conservation Agriculture and 3rd Farming Systems Design Conference, 2011, 242–243 Brisbane.
77. Paydar, Z., Gallant, J., A catchment framework for one-dimensional models: introducing FLUSH and its application. Hydrol. Process. 22:13 (2008), 2094–2104.
78. Pearson, C.J., Bucknell, D., Laughlin, G.P., Modelling crop productivity and variability for policy and impacts of climate change in eastern Canada. Environ. Model. Softw. 23:12 (2008), 1345–1355.
79. Pearson, L.J., Nelsonc, R., Crimp, S., Langridge, J., Interpretive review of conceptual frameworks and research models that inform Australia's agricultural vulnerability to climate change. Environ. Model. Softw. 26:2 (2011), 113–123.
80. Persson, T., Garcia, A.G.Y., Paz, J.O., Fraisse, C.W., Hoogenboom, G., Reduction in greenhouse gas emissions due to the use of bio-ethanol from wheat grain and straw produced in the south-eastern USA. J. Agric. Sci. 148 (2010), 511–527.
81. Persson, T., Garcia y Garcia, A., Paz, J.O., Ortiz, B.V., Hoogenboom, G., Simulating the production potential and net energy yield of maize-ethanol in the southeastern USA. Eur. J. Agron. 32:4 (2010), 272–279.
82. Porter, C.H., Villalobos, C., Holzworth, D., Nelson, R., White, J.W., Athanasiadis, I.N., Janssen, S., Ripoche, D., Cufi, J., Raes, D., Zhang, M., Knapen, R., Sahajpal, R., Boote, K., Jones, J.W., Harmonization and translation of crop modeling data to ensure interoperability. Environ. Model. Softw. 62:0 (2014), 495–508.
83. Qureshi, M.E., Whitten, S.M., Mainuddin, M., Marvanek, S., Elmandi, A., A biophysical and economic model of agriculture and water in the Murray-Darling Basin, Australia. Environ. Model. Softw. 41 (2013), 98–106.
84. Raes, D., Steduto, P., Hsiao, T.C., Fereres, E., AquaCrop-the FAO crop model to simulate yield response to Water: II. Main algorithms and software description. Agron. J. 101:3 (2009), 438–447.
85. Ranatunga, K., Nation, E.R., Barodien, G., Potential use of saline groundwater for irrigation in the Murray hydrogeological basin of Australia. Environ. Model. Softw. 25:10 (2010), 1188–1196.
86. Refsgaard, J.C., van der Sluijs, J.P., Højberg, A.L., Vanrolleghem, P.A., Uncertainty in the environmental modelling process – a framework and guidance. Environ. Model. Softw. 22:11 (2007), 1543–1556.
87. Rivington, M., Koo, J., Report on the Meta-analysis of Crop Modelling for Climate Change and Food Security Survey., 2010, 73 CGIAR Program on Climate Change, Agriculture and Food Security (CCAFS), Copenhagen, Denmark.
88. Rodriguez, D., Cox, H., deVoil, P., Power, B., A participatory whole farm modelling approach to understand impacts and increase preparedness to climate change in Australia. Agricultural Systems 126 (2014), 50–61, 10.1016/j.agsy.2013.04.003.
89. Rosenzweig, C., Jones, J.W., Hatfield, J.L., Ruane, A.C., Boote, K.J., Thorburn, P., Antle, J.M., Nelson, G.C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G., Winter, J.M., The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies. Agric. For. Meteorol. 170 (2013), 166–182.
90. Rotz, C.A., Taube, F., Russelle, M.P., Oenema, J., Sanderson, M.A., Wachendorf, M., Whole-farm perspectives of nutrient flows in grassland agriculture. Crop Sci. 45:6 (2005), 2139–2159.
91. Salazar, M.R., Hook, J.E., Garcia y Garcia, A., Paz, J.O., Chaves, B., Hoogenboom, G., Estimating irrigation water use for maize in the Southeastern USA: a modeling approach. Agric. Water Manag. 107 (2012), 104–111.
92. Shafiullah, S., The Development of an Assessment Tool to Analyse the Productivity and Financial Viability of Dairy Farms in Pakistan. 2012, Charles Sturt University, Wagga Wagga.
93. Snow, V.O., Rotz, C.A., Moore, A.D., Martin-Clouaire, R., Johnson, I.R., Hutchings, N.J., Eckard, R.J., The challenges – and some solutions – to process-based modelling of grazed agricultural systems. Environ. Model. Softw. 62:0 (2014), 420–436.
94. Steduto, P., Hsiao, T.C., Raes, D., Fereres, E., AquaCrop-the FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agron. J. 101:3 (2009), 426–437.
95. Stella, T., Frasso, N., Negrini, G., Bregaglio, S., Cappelli, G., Acutis, M., Confalonieri, R., Model simplification and development via reuse, sensitivity analysis and composition: a case study in crop modelling. Environ. Model. Softw. 59:0 (2014), 44–58.
96. Stöckle, C.O., Donatelli, M., Nelson, R., CropSyst, a cropping systems simulation model. Eur. J. Agron. 18:3–4 (2003), 289–307.
97. Stöckle, C.O., Kemanian, A.R., Nelson, R.L., Adam, J.C., Sommer, R., Carlson, B., CropSyst model evolution: from field to regional to global scales and from research to decision support systems. Environ. Model. Softw. 62:0 (2014), 361–369.
98. Thorp, K.R., Bronson, K.F., A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations. Environ. Model. Softw. 50:0 (2013), 25–36.
99. Thorp, K.R., DeJonge, K.C., Kaleita, A.L., Batchelor, W.D., Paz, J.O., Methodology for the use of DSSAT models for precision agriculture decision support. Comput. Electron. Agric. 64:2 (2008), 276–285.
100. Vanuytrecht, E., Raes, D., Steduto, P., Hsiao, T.C., Fereres, E., Heng, L.K., Garcia Vila, M., Mejias Moreno, P., Aquacrop: FAO's crop water productivity and yield response model. Environ. Model. Softw. 62 (2014), 351–360.
101. van Ittersum, M.K., Cassman, K.G., Grassini, P., Wolf, J., Tittonell, P., Hochman, Z., Yield gap analysis with local to global relevance-A review. Field Crops Res. 143 (2013), 4–17.
102. van Ittersum, M.K., Donatelli, M., Modelling cropping systems—highlights of the symposium and preface to the special issues. Eur. J. Agron. 18:3–4 (2003), 187–197.
103. van Ittersum, M.K., Ewert, F., Heckelei, T., Wery, J., Alkan Olsson, J., Andersen, E., Bezlepkina, I., Brouwer, F., Donatelli, M., Flichman, G., Olsson, L., Rizzoli, A.E., van der Wal, T., Wien, J.E., Wolf, J., Integrated assessment of agricultural systems - a component-based framework for the European Union (SEAMLESS). Agric. Syst. 96:1–3 (2008), 150–165.
104. van Ittersum, M.K., Leffelaar, P.A., van Keulen, H., Kropff, M.J., Bastiaans, L., Goudriaan, J., On approaches and applications of the Wageningen crop models. Eur. J. Agron. 18:3–4 (2003), 201–234.
105. Villa, F., Athanasiadis, I.N., Rizzoli, A.E., Modelling with knowledge: a review of emerging semantic approaches to environmental modelling. Environ. Model. Softw. 24:5 (2009), 577–587.
106. Voinov, A., Bousquet, F., Modelling with stakeholders. Environ. Model. Softw. 25:11 (2010), 1268–1281.
107. Wallach, D., Thorburn, P.J., The error in agricultural systems model prediction depends on the variable being predicted. Environ. Model. Softw. 62:0 (2014), 487–494.
108. Wang, G., Chen, S., A review on parameterization and uncertainty in modeling greenhouse gas emissions from soil. Geoderma 170 (2012), 206–216.
109. Warmink, J.J., Janssen, J.A.E.B., Booij, M.J., Krol, M.S., Identification and classification of uncertainties in the application of environmental models. Environ. Model. Softw. 25:12 (2010), 1518–1527.
110. Weedon, G.P., Gomes, S., Viterbo, P., Shuttleworth, W.J., Blyth, E., Oesterle, H., Adam, J.C., Bellouin, N., Boucher, O., Best, M., Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the Twentieth Century. J. Hydrometeorol. 12:5 (2011), 823–848.
111. Whish, J.P.M., Herrmann, N.I., White, N., Moore, A.D., Kiriticos, D., Integrating pest population models with biophysical crop models to better represent the farming system. Environ. Model. Softw. 72 (2015), 418–425.
112. White, J.W., Herndl, M., Hunt, L.A., Payne, T.S., Hoogenboom, G., Simulation-based analysis of effects of Vrn and Ppd loci on flowering in wheat. Crop Sci. 48:2 (2008), 678–687.
113. White, J.W., Hoogenboom, G., Gene-based approaches to crop simulation: past experiences and future opportunities. Agron. J. 95:1 (2003), 52–64.
114. White, J.W., Hoogenboom, G., Kimball, B.A., Wall, G.W., Methodologies for simulating impacts of climate change on crop production. Field Crops Res. 124:3 (2011), 357–368.
115. White, J.W., Hoogenboom, G., Stackhouse, P.W. Jr., Hoell, J.M., Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US. Agric. For. Meteorol. 148:10 (2008), 1574–1584.
116. White, J.W., Hunt, L.A., Boote, K.J., Jones, J.W., Koo, J., Kim, S., Porter, C.H., Wilkens, P.W., Hoogenboom, G., Integrated description of agricultural field experiments and production: a the ICASA Version 2.0 data standards. Comput. Electron. Agric. 96 (2013), 1–12.
117. Wu, W., Chen, J.-L., Liu, H.-B., Garcia y Garcia, A., Hoogenboom, G., Parameterizing soil and weather inputs for crop simulation models using the VEMAP database. Agric. Ecosyst. Environ. 135:1–2 (2010), 111–118.
118. Wu, W., Liu, H.-B., Hoogenboom, G., White, J.W., Evaluating the accuracy of VEMAP daily weather data for application in crop simulations on a regional scale. Eur. J. Agron. 32:3 (2010), 187–194.
119. Yu, C., Li, C., Xin, Q., Chen, H., Zhang, J., Zhang, F., Li, X., Clinton, N., Huang, X., Yue, Y., Gong, P., Dynamic assessment of the impact of drought on agricultural yield and scale-dependent return periods over large geographic regions. Environ. Model. Softw. 62:0 (2014), 454–464.
120. Zhao, G., Bryan, B.A., King, D., Luo, Z., Wang, E., Bende-Michl, U., Song, X., Yu, Q., Large-scale, high-resolution agricultural systems modeling using a hybrid approach combining grid computing and parallel processing. Environ. Model. Softw. 41 (2013), 231–238.