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Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient
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作者 Xuan Li Shaowen Wang +6 位作者 Yifan Chen danwen zhang Shanshan Yang Jingwen Wang Jiahua zhang Yun Bai Sha zhang 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2024年第4期1381-1392,共12页
The accurate simulation of regional-scale winter wheat yield is important for national food security and the balance of grain supply and demand in China.Presently,most remote sensing process models use the“biomass... The accurate simulation of regional-scale winter wheat yield is important for national food security and the balance of grain supply and demand in China.Presently,most remote sensing process models use the“biomass×harvest index(HI)”method to simulate regional-scale winter wheat yield.However,spatiotemporal differences in HI contribute to inaccuracies in yield simulation at the regional scale.Time-series dry matter partition coefficients(Fr)can dynamically reflect the dry matter partition of winter wheat.In this study,Fr equations were fitted for each organ of winter wheat using site-scale data.These equations were then coupled into a process-based and remote sensingdriven crop yield model for wheat(PRYM-Wheat)to improve the regional simulation of winter wheat yield over the North China Plain(NCP).The improved PRYM-Wheat model integrated with the fitted Fr equations(PRYM-Wheat-Fr)was validated using data obtained from provincial yearbooks.A 3-year(2000-2002)averaged validation showed that PRYM-Wheat-Fr had a higher coefficient of determination(R^(2)=0.55)and lower root mean square error(RMSE=0.94 t ha^(-1))than PRYM-Wheat with a stable HI(abbreviated as PRYM-Wheat-HI),which had R^(2) and RMSE values of 0.30 and 1.62 t ha^(-1),respectively.The PRYM-Wheat-Fr model also performed better than PRYM-Wheat-HI for simulating yield in verification years(2013-2015).In conclusion,the PRYM-Wheat-Fr model exhibited a better accuracy than the original PRYM-Wheat model,making it a useful tool for the simulation of regional winter wheat yield. 展开更多
关键词 dry matter partition remote sensing model winter wheat yield North China Plain
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Acceptor-Donor-Acceptor π-Stacking Boosts Intramolecular Through-Space Charge Transfer towards Efficient Red TADF and High-PerformanceOLEDS
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作者 Chenglin Jiang Jingsheng Miao +3 位作者 danwen zhang Zhenhua Wen Chuluo Yang Kai Li 《Research》 EI CAS CSCD 2022年第4期283-294,共12页
Organic push-pull systems featuring through-space charge transfer(TSCT)excited states have been disclosed to be capable of exhibiting thermally activated delayed fluorescence(TADF),but to realize high-efficiency long-... Organic push-pull systems featuring through-space charge transfer(TSCT)excited states have been disclosed to be capable of exhibiting thermally activated delayed fluorescence(TADF),but to realize high-efficiency long-wavelength emission still remains a challenge.Herein,we report a series of strongly emissive orange-red and red TSCT-TADF emitters having(quasi)planar and rigid donor and acceptor segments which are placed in close proximity and orientated in a cofacial manner.Emission maxima(λ_(em))of 594−599 nm with photoluminescence quantum yields(PLQYs)of up to 91%and delayed fluorescence lifetimes of down to 4.9μs have been achieved for new acceptor-donor-acceptor(A-D-A)molecules in doped thin films.The presence of multiple acceptors and the strong intramolecularπ-stacking interactions have been unveiled to be crucial for the efficient low-energy TSCT-TADF emissions.Organic light-emitting diodes(OLEDs)based on the new A-D-A emitters demonstrated electroluminescence with maximum external quantum efficiencies(EQEs)of up to 23.2%for the red TSCT-TADF emitters.An EQE of 18.9%at the brightness of 1000 cd m^(-2) represents one of the highest values for red TADF OLEDs.This work demonstrates a modular approach for developing high-performance red TADF emitters through engineering through-space interactions,and it may also provide implications to the design of TADF emitter with other colours. 展开更多
关键词 emitter OLED donor
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