Fuzzy evaluation on the integrated benefit of regulated deficit irrigation for pear-jujube tree based on information entropy.

ABSTRACT

Based on the experimental data of regulated deficit irrigation at different growth stages on field pear-jujube tree (Zizyphus jujube Mill.) during 2005-2007 in Northwest China, the regulated deficit irrigation integrated benefits (RDIIB) with different water deficit treatments at different growth stages were evaluated and classified using a model. The results in 2005-2006 showed that the RDIIB under single-stage water deficit at fruit maturity stage were better than the other treatments, and the best RDIIB were gained under moderate (IVSD) or severe deficit (IVMD) at fruit maturity stage. The results in 2006-2007 also indicated that the four double-stage water deficit schemes have the better RDIIB, and the best scheme was severe water deficit at bud burst to leafing stage plus moderate water deficit at fruit maturity stage. The RDIIB evaluation model based on information entropy method provided the reliable technical guidance for the optimal RDI scheme of pear-jujube tree.