Study On Evaluation Method Of Comprehensive Production Effect Of Tomato In Deep-buried Straw Greenhouse

We set greenhouse plot experiment to research the effect of different deep buried straw amount and lower irrigation limit on the comprehensive production of tomato.Four kinds of straw(0 kg·hm^-2?1.5×10⁴kg·hm^-2?3.0×10⁴kg·hm^-2?4.5×10⁴kg·hm^-2)and four kinds of irrigation water limit?50%,60%,70%,80%of field water capacity?were arranged.We selected related evaluation indexes,which reflected comprehensive production of tomato in greenhouse.We introduced the Symmetric Interactive Entropy Sorting Method?SIES?,and comparing the Entropy Weight Symmetric Interactive Entropy Sorting Method?E-SIES?,Entropy Weight TOPSIS and Entropy Weight Clamping Angle Measuring Method?E-AMS?.We choose the best evaluation method,and explore the impact of changes in indicators on the method.The results show that:?1?We selected six relevant indicators,and the evaluation results of greenhouse tomato comprehensive production by simple proportional weighting and SIES method showed that:SIES method could be used to evaluate deep-buried straw quantity and soil moisture management with multiple indicators and schemes.The optimum management mode was T9,the amount of deep-buried straw was4.5×10⁴kg·hm^-2,and the irrigation water limit was 80%of the field water holding capacity;the next was T1,the amount of deep-buried straw was 1.5×10⁴kg·hm^-2,and the irrigation water limit was 80%of the field water holding capacity;the worst management mode was T16,the amount of deep-buried straw was 0kg·hm^-2,and the irrigation water limit was 70%of the field water holding capacity;the second was T15,and the deep-buried straw was 70%of the field water holding capacity.The amount of stalk was 0 kg·hm^-2,and the irrigation water limit was 60%of the field capacity.The results showed that deep-buried straw had a certain water-retaining function in tomato growth process.It was not that the higher the irrigation water limit,the better the quality of crops and the better the comprehensive production effect.In order to improve the comprehensive production effect of fruits,we needed to coordinate the balance point between irrigation quantity and quality.?2?The TOPSIS,AMS and SIES were applied to assess comprehensive production of tomato's 16different treatments based on the information entropy weight.The results showed that the best comprehensive production effect of greenhouse tomatoes?T9?was obtained when the amount of straw was4.5×10⁴kg·hm^-2and the irrigation water limit was 80%of the field capacity.It shows that when only the optimal scheme is selected,the three evaluation methods are applicable,with the largest amount of straw and the highest irrigation water limit was the optimal management mode.Coordinating the balance point between straw and irrigation can effectively improve the comprehensive production effect of greenhouse tomato.According to the ranking results,the evaluation results of E-TOPSIS method and E-SIES method are more convincing than those of E-AMS method.TOPSIS method and AMS method have the same value and can not be sorted,but the SIES method has obvious difference in the value of the closeness.SIES method overcomes the shortcomings of TOPSIS and AMS method.It can comprehensively evaluate various schemes,provide scientific basis for rational deep-buried straw quantity and soil moisture management,which is the best method for evaluating the comprehensive production effect of greenhouse tomato.?3?We increased the indexes of lycopene,nitrate,lycopene and nitrate respectively,the comprehensive evaluation results by E-SIES method showed that the optimal and worst management models were the same,which were T9(4.5×10⁴kg·hm^-2of straw,80%of field water holding capacity under irrigation),T16(0 kg·hm^-2of deep-buried straw,70%of field water holding capacity under irrigation).There is no significant difference in other ranking,but the results are different from those of the previous non-increasing indicators.Combining with the physical meaning of entropy,the more uneven the data distribution and the smaller the entropy value,the more effective information provided by the index,the greater the weight should be given.It shows that increasing the entropy value of the index determines whether the ranking result of E-SIES method changes significantly.