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Effect of Silicon on Growth, Physiology, and Cadmium Translocation of Tobacco (Nicotiana tabacum L.) in Cadmium-Contaminated Soil 被引量:8
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作者 LU Yingang MA Jun +6 位作者 TENG Ying HE Juny Peter CHRISTIE ZHU Lingjia REN Wenjie ZHANG Manyun shiping deng 《Pedosphere》 SCIE CAS CSCD 2018年第4期680-689,共10页
Silicon (Si) offers beneficial effect on plants under cadmium (Cd) stress such as promoting plant growth and increasing resistance to heavy metal toxicity. In this study, a pot experiment was performed to study th... Silicon (Si) offers beneficial effect on plants under cadmium (Cd) stress such as promoting plant growth and increasing resistance to heavy metal toxicity. In this study, a pot experiment was performed to study the role of Si in alleviating Cd toxicity in tobacco (Nicotiana tabacurn L.) plants on a yellow soil taken from Guiyang, China. Nine treatments consisting of three concentrations of Cd (0, 1, and 5 mg kg^-1) together with three Si levels (0, 1, and 4 g kg^-1) were established. Plant growth parameters, Cd concentration, and the malondialdehyde (MDA), chlorophyll, and carotenoid contents were determined 100 d after transplanting of tobacco seedlings. Application of exogenous Si enhanced the growth of tobacco plants under Cd stress. When 5 mg kg^-1 Cd was added, Si addition at 1 and 4 g kg^-1 increased root, stem, and leaf biomass by 26.1%-43.3%, 33.7% 43.8%, and 50.8% 69.9%, respectively, compared to $i addition at 0 g kg^-1. With Si application, the transfer factor of Cd in tobacco from root to shoot under both 1 and 5 mg kg^-1 Cd treatments decreased by 21%. The MDA contents in the Si-treated tobacco plants declined by 5.5% 17.1% compared to those in the non-Si-treated plants, indicating a higher Cd tolerance. Silicon application also increased the chlorophyll and carotenoid contents by 33.9% 41% and 25.8%-47.3% compared to the Cd only treatments. Therefore, it could be concluded that Si application can alleviate Cd toxicity to tobacco by decreasing Cd partitioning in the shoots and MDA levels and by increasing chlorophyll and carotenoid contents, thereby contributing to lowering the potential health risks of Cd contamination. 展开更多
关键词 cadmium stress cadmium tolerance cadmium toxicity CHLOROPHYLL heavy metal plant growth parameter potential health risk transfer factor
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Response of nitrogen mineralization dynamics and biochemical properties to litter amendments to soils of a poplar plantation 被引量:2
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作者 Xiaomin Ge shiping deng +4 位作者 Ling Zhu Yong Li Zhiyuan Jia Ye Tian Luozhong Tang 《Journal of Forestry Research》 SCIE CAS CSCD 2018年第4期913-922,共10页
Understanding the impact of plant litters on soil nitrogen (N) dynamics could facilitate development of management strategies that promote plantation ecosystem function. Our objective was to evaluate the effects of ... Understanding the impact of plant litters on soil nitrogen (N) dynamics could facilitate development of management strategies that promote plantation ecosystem function. Our objective was to evaluate the effects of different litter types on N mineralization and availability, microbial biomass, and activities of L-asparaginase and odiphenol oxidase (o-DPO) in soils of a poplar (Populus deltoides) plantation through 24 weeks of incubation experiments. The tested litters included foliage (F), branch (B), or root (R) of poplar trees, and understory vegetation (U) or a mixture of F, B, and U (M). Litter amendments led to rapid N immobilization during the first 4 weeks of incubation, while net N mineralization was detected in all tested soils from 6 to 24 weeks of incubation, with zero-order reaction rate constants (k) ranging from 7.7 to 9.6 mg N released kg-1 soil wk-1. Moreover, litter addition led to increased (C) 49-128% and increased microbial biomass carbon MBC:MBN ratio by 5-92%, strengthened activities of L-aspaxaginase and o-DPO by 14-74%; Up to about 37 kg N ha-1 net increase in mineralized N in litter added soils during 24 weeks of incubation suggests that adequate poplar and understory litter management could lead to reduced inputs while facilitate sustainable and economic viable plantation production. 展开更多
关键词 Plant litter Nitrogen mineralization Soilmicrobial biomass L-ASPARAGINASE o-diphenol oxidase
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A Deep Learning-Enabled Skin-Inspired Pressure Sensor for Complicated Recognition Tasks with Ultralong Life
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作者 Yingxi Xie Xiaohua Wu +5 位作者 Xiangbao Huang Qinghua Liang shiping deng Zeji Wu Yunpeng Yao Longsheng Lu 《Research》 SCIE EI CSCD 2024年第1期443-454,共12页
Flexible full-textile pressure sensor is able to integrate with clothing directly,which has drawn extensive attention from scholars recently.But the realization of flexible full-textile pressure sensor with high sensi... Flexible full-textile pressure sensor is able to integrate with clothing directly,which has drawn extensive attention from scholars recently.But the realization of flexible full-textile pressure sensor with high sensitivity,wide detection range,and long working life remains challenge.Complex recognition tasks necessitate intricate sensor arrays that require extensive data processing and are susceptible to damage.The human skin is capable of interpreting tactile signals,such as sliding,by encoding pressure changes and performing complex perceptual tasks.Inspired by the skin,we have developed a simple dip-and-dry approach to fabricate a full-textile pressure sensor with signal transmission layers,protective layers,and sensing layers.The sensor achieves high sensitivity(2.16 kPa^(−1)),ultrawide detection range(0 to 155.485 kPa),impressive mechanical stability of 1 million loading/unloading cycles without fatigue,and low material cost.The signal transmission layers that collect local signals enable real-world complicated task recognition through one single sensor.We developed an artificial Internet of Things system utilizing a single sensor,which successfully achieved high accuracy in 4 tasks,including handwriting digit recognition and human activity recognition.The results demonstrate that skin-inspired full-textile sensor paves a promising route toward the development of electronic textiles with important potential in real-world applications,including human–machine interaction and human activity detection. 展开更多
关键词 Deep SKIN utilizing
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