Comprehensive evaluation on compensatory effects of water recovery after drought based on projection pursuit classification model

被引:0
|
作者
Hao S. [1 ]
Guo X. [1 ]
Zhang Z. [1 ]
机构
[1] College of Agricultural Engineering, Hohai University
关键词
Compensatory effects; Comprehensive evaluation; Projection pursuit classification; Water stress;
D O I
10.3969/j.issn.1000-1298.2010.01.011
中图分类号
学科分类号
摘要
An effective projection pursuit classification model is suggested to evaluate compensatory effects of water recovery after drought in order to avoid the uncertainty of the evaluation and the optimization, and to improve the accuracy of the evaluating model. It adopts an ant colony algorithm based on mutation and dynamic pheromone updating to find the best projective direction, and then uses the best projective direction to calculate the contribution of each evaluation index to the compensatory effects. The test results showed that photosynthetic rate directly reflected the capacity of compensatory growth. Thus it is a critical factor for compensatory effects, which conformed to the previous studies. The optimal compensatory effects appeared in the fifth day after appropriate rewatering.
引用
收藏
页码:59 / 62+33
相关论文
共 13 条
  • [1] Shan L., Su P., Guo L., Et al., The response of different crops to drying wetting cycle in field, Acta Botanica Boreali-Occidentalia Sinica, 20, 2, pp. 164-170, (2000)
  • [2] Messina F.J., Durham S.L., Trade-off between plant growth and defense? A comparison of sagebrush populations, Oecologia, 131, 1, pp. 43-51, (2002)
  • [3] Zhao L., Deng X., Shan L., A review on types and mechanisms of compensation effect of crops under water deficit, Chinese Journal of Applied Ecology, 15, 3, pp. 523-526, (2004)
  • [4] Hao S., Guo X., Wang W., Et al., Research on compensatory effects of water-recovery on rice at tillering stage, Effective Utilization of Agricultural Soil and Water Resources and Protection of Environment, (2006)
  • [5] Wang M., Kang S., Cai H., Et al., The effect of regulated deficit irrigation on ecological characteristics and yield of corn, Journal of Northwest Sci-Tech University of Agriculture and Forestry, 28, 1, pp. 31-36, (2000)
  • [6] Feng Z., Zheng H., Liu B., Comprehensive evaluation of agricultural water use efficiency based on genetic projection pursuit model, Transactions of the CSAE, 21, 3, pp. 66-67, (2005)
  • [7] Fu Q., Yang G., Jin J., Selection of agricultural machinery types and their optimum order based on PPC model, Transactions of the Chinese Society for Agricultural Machinery, 34, 1, pp. 101-107, (2003)
  • [8] Zhu Q., Yang Z., An ant colony optimization algorithm based on mutation and dynamic pheromone updating, Journal of Software, 15, 2, pp. 185-192, (2004)
  • [9] Merkle D., Mdiddendorf M., Schmeck H., Ant colony optimization for resource-constrained project scheduling, IEEE Trans. on Evolutionary Computation, 6, 4, pp. 333-339, (2002)
  • [10] Parpinelli R.S., Lopes H.S., Freitas A.A., Data mining with an ant colony optimization algorithm, IEEE Trans. on Evolutionary Computation, 6, 4, pp. 321-328, (2002)