Development and application of process-based simulation models for cotton production: a review of past, present, and future directions

Article


Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., Reddy, K. R., Wall, G. W. and White, J. W.. 2014. "Development and application of process-based simulation models for cotton production: a review of past, present, and future directions." Journal of Cotton Science. 18 (1), pp. 10-47.
Article Title

Development and application of process-based simulation models for cotton production: a review of past, present, and future directions

ERA Journal ID5350
Article CategoryArticle
AuthorsThorp, K. R. (Author), Ale, S. (Author), Bange, M. P. (Author), Barnes, E. M. (Author), Hoogenboom, G. (Author), Lascano, R. J. (Author), McCarthy, A. C. (Author), Nair, S. (Author), Paz, J. O. (Author), Rajan, N. (Author), Reddy, K. R. (Author), Wall, G. W. (Author) and White, J. W. (Author)
Journal TitleJournal of Cotton Science
Journal Citation18 (1), pp. 10-47
Number of Pages38
Year2014
Place of PublicationCordova, TN. United States
ISSN1523-6919
1524-3303
Web Address (URL)http://www.cotton.org/journal/2014-18/1/
Abstract

The development and application of cropping system simulation models for cotton production has a long and rich history, beginning in the southeastern United States in the 1960's and now expanded to major cotton production regions globally. This paper briefly reviews the history of cotton simulation models, examines applications of the models since the turn of the century, and identifies opportunities for improving models and their use in cotton research and decision support. Cotton models reviewed include those specific to cotton (GOSSYM, Cotton2K, COTCO2, OZCOT, and CROPGRO-Cotton) and generic crop models that have been applied to cotton production (EPIC, WOFOST, SUCROS, GRAMI, CropSyst, and AquaCrop). Model application areas included crop water use and irrigation water management, nitrogen dynamics and fertilizer management, genetics and crop improvement, climatology, global climate change, precision agriculture, model integration with sensor data, economics, and classroom instruction. Generally, the literature demonstrated increased emphasis on cotton model development in the previous century and on cotton model application in the current century. Although efforts to develop cotton models have a 40-year history, no comparisons among cotton models were reported. Such efforts would be advisable as an initial step to evaluate current cotton simulation strategies. Increasingly, cotton simulation models are being applied by non-traditional crop modelers, who are not trained agronomists but wish to use the models for broad economic or life cycle analyses. While this trend demonstrates the growing interest in the models and their potential utility for a variety of applications, it necessitates the development of models with appropriate complexity and ease-of-use for a given application, and improved documentation and teaching materials are needed to educate potential model users. Spatial scaling issues are also increasingly prominent, as models originally developed for use at the field scale are being implemented for regional simulations over large geographic areas. Research steadily progresses toward the advanced goal of model integration with variable-rate control systems, which use real-time crop status and environmental information to spatially and temporally optimize applications of crop inputs, while also considering potential environmental impacts, resource limitations, and climate forecasts. Overall, the review demonstrates a languished effort in cotton simulation model development, but the application of existing models in a variety of research areas remains strong and continues to grow.

Keywordsagriculture; computer; cotton; model; simulation
ANZSRC Field of Research 2020401199. Environmental engineering not elsewhere classified
300205. Agricultural production systems simulation
409901. Agricultural engineering
Public Notes

© The Cotton Foundation 2014. Open Access journal.

Byline AffiliationsDepartment of Agriculture, United States
Texas A&M University, United States
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Cotton Incorporated, United States
Washington State University, United States
National Centre for Engineering in Agriculture
Texas Tech University, United States
Mississippi State University, United States
Institution of OriginUniversity of Southern Queensland
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McCarthy, Alison, Hancock, Nigel and Raine, Steven. 2010. "Holistic control system design for large mobile irrigation machines." 16th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2010). Darussalam, Brunei 22 - 24 Jun 2010 Toowoomba, Australia.
Development of a simulation framework for variable-rate irrigation of cotton
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2008. "Development of a simulation framework for variable-rate irrigation of cotton." 14th Australian Cotton Conference: New Beginnings – Cotton in a Climate of Change. Gold Coast, Australia 12 - 14 Aug 2008 Narrabri, NSW, Australia.
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2009. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Australian Journal of Multi-Disciplinary Engineering. 7 (1), pp. 79-90.
Exploration of data requirements for adaptive control of irrigation scheduling
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2009. "Exploration of data requirements for adaptive control of irrigation scheduling." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2009: Agricultural Technologies In a Changing Climate. Brisbane, Australia 13 - 16 Sep 2009 Brisbane, Australia.
Towards evaluation of adaptive control systems for improved site-specific irrigation of cotton
McCarthy, Alison, Hancock, Nigel and Raine, Steven R.. 2008. "Towards evaluation of adaptive control systems for improved site-specific irrigation of cotton." Irrigation Australia 2008: Irrigation Association of Australia National Conference and Exhibition: Share the Water, Share the Benefits. Melbourne, Australia 20 - 22 May 2008 Hornsby, NSW, Australia.
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2007. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2007: Agriculture and Engineering - Challenge Today, Technology Tomorrow. Adelaide, Australia 24 - 26 Sep 2007 Australia.
An overview on the degradability of polymer nanocomposites
Pandey, Jitendra K., Reddy, K. Raghunatha, Kumar, A. Pratheep and Singh, R.P.. 2005. "An overview on the degradability of polymer nanocomposites." Polymer Degradation and Stability. 88 (2), pp. 234-250. https://doi.org/10.1016/j.polymdegradstab.2004.09.013
Synthesis, characterization, and performance evaluation of novel stabilized TDI-based polyurethane coatings under accelerated weathering
Kumar, A. Pratheep, Reddy, K. Raghunatha, Rana, Sravendra, Lonkar, Sunil P., Raut, K.G. and Singh, Raj Pal. 2005. "Synthesis, characterization, and performance evaluation of novel stabilized TDI-based polyurethane coatings under accelerated weathering." Journal of Vinyl and Additive Technology. 11 (1), pp. 13-20. https://doi.org/10.1002/vnl.20032