Comprehensive Evaluation on Compensatory Effects of Rewatering after PEG Stress Based on PPC-RAGA Model
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DOI:10.7606/j.issn.1000-7601.2007.06.05
Key Words: PPC model  water recovery after drought  compensatory effect  physiological properties comprehensive assessment
Author NameAffiliation
GUO Xing-ping Department of Irrigation and Drainage Hohai UniversityNanjingJiangsu 210098China 
LIU Zhan-peng Department of Irrigation and Drainage Hohai UniversityNanjingJiangsu 210098China 
WANG Qing-mei Department of Irrigation and Drainage Hohai UniversityNanjingJiangsu 210098China 
HAO Shu-rong Department of Irrigation and Drainage Hohai UniversityNanjingJiangsu 210098China 
WANG Wei-mu Department of Irrigation and Drainage Hohai UniversityNanjingJiangsu 210098China 
CHU Lin-lin Department of Irrigation and Drainage Hohai UniversityNanjingJiangsu 210098China 
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Abstract:
      A projection pursuit classification model(PPC Model) was suggested in this paper to evaluate the comprehensive compensatory effects of water recovery after drought based on simulation water stress experiments on maize The optimum projection direction and the value of the physiological properties of maize leaves were obtained based on real coded accelerating genetic algorithm(RAGA) and the comprehensive index which synthesized the characteristics of compensatory effects of the physiological properties was also got by projecting high dimensional data to low dimensional space.The results of the model indicated net photosynthetic rate and stomata conductivity had the greatest effect on compensatory effects,which was consistent with the conclusions from traditional comprehensive analysis,indicating the model was reasonable if physiological properties were chosen correctly.The model avoided subjective ingredient influences of investigator on conclusion and could be used to investigate the effects of water stress and water recovery on compensatory effects under water saving irrigation.