SHARP: Shade-avoidance Response in Plants - An Evolutionary Simulation Software Package

Wen Fung Leong, Sanjoy Das, Stephen M. Welch, Cynthia Weinig

2013

Abstract

Educational simulators take learning to the next level by bringing students’ understanding of a subject closer to their personal experience. In this paper, software to simulate the evolution of shade-avoidance responses in plants is developed. Models and equations to imitate the response are described. An example simulated scenario is illustrated and discussed. This simulation demonstrates typical shade-avoidance response in plants; the competition for sunlight between plants grown in high density conditions channelizes more resources towards longer stems. Additionally, the simulations show how increased competition over plants grown in low density conditions lowers the variability in the overall shapes of the individual plants.

References

  1. Kincaid J. P. and Westerlund K. K., 2009. Simulation in education and training, IEEE Proceedings of the 2009 Winter Simulation Conference (WSC), 273 - 280.
  2. USC Annenburg Foundation, accessed December 19, 2012. The ReDistricting Game. Virginia Civics, Item #273. available: http://vagovernmentmatters.org/webresources/273
  3. Alinier G., 2007. A typology of educationally focused medical simulation tools. Medical Teacher, 29(8), 243-250.
  4. Kethireddy J. and Suthaharan S., 2004. Visualization Teaching Tool for Simulation of OSI Seven Layer Architecture. IEEE Proceesings in SoutheastCon, 335- 342.
  5. Tinker N. A. and Mather D. E., 1993. GREGOR: software for genetic simulation. Journal of Heredity, 84(3), 237-237.
  6. Martin S. K. St. and Skavaril R.V., 1984. Computer simulation as a tool in teaching introductory plant breeding. Journal of Agronomic Education, 13, 43-47.
  7. Fita A., Tarín N., Prohens J., and Rodríguez-Burruezo A., 2010. A software tool for teaching backcross breeding simulation. HortTechnology, 20(6), 1049-1053.
  8. Deb K., 2001. Multi-Objective Optimization Using Evolutionary Algorithms, 1st edn, John Wiley & Sons, England, p. 123.
  9. Engelbrecht A. P., 2007. Computational Intelligence: An Introduction; John Wiley & Sons, England, p. 148-149 Casal J. J., 2012. Shade avoidance; Arabidopsis Book, 10, ch. e0157, p. 1-19.
  10. Franklin K. A. and Whitelam G. C., 2005. Phytochromes and shade-avoidance responses in plants. Annals of Botany, 96(2), 169-175.
  11. Sasidharan R., Chinnappa C. C., Staal M., Elzenga J. T. M., Yokoyama R., Nishitani K., Voesenek L. A.C.J., and Pierik R., 2010. Light quality-mediated petiole elongation in Arabidopsis during shade avoidance involves cell wall modification by xyloglucan endotransglucosylase/hydrolases. Plant physiology, 154(2), 978-990.
  12. Keuskamp D. H. and Pierik R., 2010. Photosensory cues in plant-plant interactions: regulation and functional significance of shade avoidance responses. Plant Communication from an Ecological Perspective, 159- 178.
  13. De Wit M., Kegge W., Evers J. B., Vergeer-van Eijk M. H., Gankema P., Voesenek L. A. C. J., and Pierik R., 2012. Plant neighbor detection through touching leaf tips precedes phytochrome signals. Proceedings of the National Academy of Sciences, 109(36), 14705-14710.
  14. Hammer G. L, Dong Z., McLean G., Doherty A., Messina C., Schussler J., Zinselmeier C., Paszkiewicz S., and Cooper M., 2009. Can changes in canopy and/or root system architecture explain historical maize yield trends in the US corn belt? Crop Science, 49(1), 299- 312.
  15. Smith H. and Whitelam G. C., 1997. The shade avoidance syndrome: multiple responses mediated by multiple phytochromes. Plant, Cell atid Environment, 20, 840- 844.
  16. Eshelman L. J. and Schaffer J. D., 1993. Real-Coded Genetic Algorithms and Interval-Schemata. Foundations of Genetic Algorithms, 2, 187-202.
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Paper Citation


in Harvard Style

Fung Leong W., Das S., M. Welch S. and Weinig C. (2013). SHARP: Shade-avoidance Response in Plants - An Evolutionary Simulation Software Package . In Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8565-69-3, pages 163-170. DOI: 10.5220/0004485801630170


in Bibtex Style

@conference{simultech13,
author={Wen Fung Leong and Sanjoy Das and Stephen M. Welch and Cynthia Weinig},
title={SHARP: Shade-avoidance Response in Plants - An Evolutionary Simulation Software Package},
booktitle={Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2013},
pages={163-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004485801630170},
isbn={978-989-8565-69-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - SHARP: Shade-avoidance Response in Plants - An Evolutionary Simulation Software Package
SN - 978-989-8565-69-3
AU - Fung Leong W.
AU - Das S.
AU - M. Welch S.
AU - Weinig C.
PY - 2013
SP - 163
EP - 170
DO - 10.5220/0004485801630170