The grey system theory, with the characteristics of fewer modeling data and higher accuracy, was employed to model the batch dyeing process for the purpose of accurate online control. The GM（1, 1） and GM （0, N） mo...The grey system theory, with the characteristics of fewer modeling data and higher accuracy, was employed to model the batch dyeing process for the purpose of accurate online control. The GM（1, 1） and GM （0, N） models of the grey system theory were discussed for their feasibilities of modding for batch dyeing process. The combination of direct dyestuff Fast Red F3B on cotton was chosen as a representative of the common dyeing method for describing the modeling process. Firstly, the GM（ 1, 1 ） model and the GM（1, 1） combined with GM（0, N） model were employed to model the equilibrium percentage of dyeing uptake rate. Secondly, an integrated dyeing uptake rate model with three factors （ temperature, salt concentration, and pH） was established based on the adsorption rate equation. Experimental results show that this model has higher accuracy and beetler generalization ability, which can predict the results of batch dyeing process. Due to the application of grey system theory, the model has a lot of advantages, such as being easy to determine the parameter value and small amount of calculation. So it can also be suitable for the same type of combination of dyestuff-fahric by changing the parameters value only.展开更多
Salt stress is a vital factor limiting nitrogen uptake and cotton growth in arid regions.The mechanisms underlying salt stress tolerance in cotton plants under high soil salinity have not been fully elucidated.Therefo...Salt stress is a vital factor limiting nitrogen uptake and cotton growth in arid regions.The mechanisms underlying salt stress tolerance in cotton plants under high soil salinity have not been fully elucidated.Therefore,the aim of this study was to examine the proportion and mechanism of cotton nitrogen uptake under salt stress using the^(15)N isotope labeling technique.Cotton plants were grown in four undisturbed saline soils(1,3,6 and 9 dS m^(-1)),and the experiment was designed using the ENVIRO-GRO(E-G)model.The results showed that the dry matter of roots,stems and leaves of the cotton parts in slightly saline soil(C2,3 dS m^(-1))was not significant compared with the non-saline soil(C1,1 dS m^(-1)).The cotton fruit grown in low-salinity soil(C2,3 dS m^(-1))had significantly higher dry matter than that grown in the other treatments,implying that cotton plants grown in 3 dS m^(-1)soil have the best nitrogen uptake and salt tolerance.Cotton plants grown in weakly(C3,6 dS m^(-1))and moderately(C4,9 dS m^(-1))saline soils exhibited premature senescence.The distribution of total nitrogen and nitrate content in cotton was the best explanatory variable of total^(15)N recovery,of which cotton^(15)N recovery was between 26.1%and 47.2%,and soil^(15)N recovery was between 7.7%and 14.9%.Our findings provide guidance for further exploitation and utilization of saline soil resources and sustainable development of the agricultural soil ecosystem in arid regions.展开更多
基金National Natural Science Foundation of China(No.61074154)
文摘The grey system theory, with the characteristics of fewer modeling data and higher accuracy, was employed to model the batch dyeing process for the purpose of accurate online control. The GM（1, 1） and GM （0, N） models of the grey system theory were discussed for their feasibilities of modding for batch dyeing process. The combination of direct dyestuff Fast Red F3B on cotton was chosen as a representative of the common dyeing method for describing the modeling process. Firstly, the GM（ 1, 1 ） model and the GM（1, 1） combined with GM（0, N） model were employed to model the equilibrium percentage of dyeing uptake rate. Secondly, an integrated dyeing uptake rate model with three factors （ temperature, salt concentration, and pH） was established based on the adsorption rate equation. Experimental results show that this model has higher accuracy and beetler generalization ability, which can predict the results of batch dyeing process. Due to the application of grey system theory, the model has a lot of advantages, such as being easy to determine the parameter value and small amount of calculation. So it can also be suitable for the same type of combination of dyestuff-fahric by changing the parameters value only.
基金The work was supported by the National Natural ScienceFoundationof China(51969027,U1803244)Major Scientific and Technological Projects of XPCC in China(2017AA002,2021AB021)+1 种基金China Scholarship Council(201909505014)Shihezi University(CXRC201801,RCZK2018C22).
文摘Salt stress is a vital factor limiting nitrogen uptake and cotton growth in arid regions.The mechanisms underlying salt stress tolerance in cotton plants under high soil salinity have not been fully elucidated.Therefore,the aim of this study was to examine the proportion and mechanism of cotton nitrogen uptake under salt stress using the^(15)N isotope labeling technique.Cotton plants were grown in four undisturbed saline soils(1,3,6 and 9 dS m^(-1)),and the experiment was designed using the ENVIRO-GRO(E-G)model.The results showed that the dry matter of roots,stems and leaves of the cotton parts in slightly saline soil(C2,3 dS m^(-1))was not significant compared with the non-saline soil(C1,1 dS m^(-1)).The cotton fruit grown in low-salinity soil(C2,3 dS m^(-1))had significantly higher dry matter than that grown in the other treatments,implying that cotton plants grown in 3 dS m^(-1)soil have the best nitrogen uptake and salt tolerance.Cotton plants grown in weakly(C3,6 dS m^(-1))and moderately(C4,9 dS m^(-1))saline soils exhibited premature senescence.The distribution of total nitrogen and nitrate content in cotton was the best explanatory variable of total^(15)N recovery,of which cotton^(15)N recovery was between 26.1%and 47.2%,and soil^(15)N recovery was between 7.7%and 14.9%.Our findings provide guidance for further exploitation and utilization of saline soil resources and sustainable development of the agricultural soil ecosystem in arid regions.
