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| 1 | Proteome analysis of alfalfa roots in response to water deficit stress显示文摘To evaluate the response of alfalfa to water deficit(WD) stress, WD-induced candidates were investigated through a proteomic approach. Alfalfa seedlings were exposed to WD stress for 12 and 15 days respectively, followed by 3 days re-watering. Water deficit increased H2O2 content, lipid peroxidation, DPPH(1,1-diphenyl-2-picrylhydrazyl)-radical scavenging activity, and the free proline level in alfalfa roots. Root proteins were extracted and separated by two-dimentional polyacrylamide gel electrophoresis(2-DE). A total of 49 WD-responsive proteins were identified in alfalfa roots; 25 proteins were reproducibly found to be up-regulated and 24 were down-regulated. Two proteins, namely cytosolic ascorbate peroxidase(APx2) and putative F-box protein were newly detected on 2-DE maps of WD-treated plants. We identified several proteins including agamous-like 65, albumin b-32, inward rectifying potassium channel, and auxin-independent growth promoter. The identified proteins are involved in a variety of cellular functions including calcium signaling, abacisic acid(ABA) biosynthesis, reactive oxygen species(ROS) regulation, transcription/ translation, antioxidant/detoxification/stress defense, energy metabolism, signal transduction, and storage. These results indicate the potential candidates were responsible for adaptive response in alfalfa roots. | Rahman Md Atikur Kim Yong-Goo Alam Iftekhar LIU Gong-she Lee Hyoshin Lee Jeung Joo Lee Byung-Hyun | 2016 | Journal of Integrative Agriculture2016，15，6： | 5 |
| 2 | Flooding and its relationship with land cover change, population growth, and road density显示文摘Bangladesh experiences frequent hydro-climatic disasters such as flooding.These disasters are believed to be associated with land use changes and climate variability.However,identifying the factors that lead to flooding is challenging.This study mapped flood susceptibility in the northeast region of Bangladesh using Bayesian regularization back propagation(BRBP)neural network,classification and regression trees(CART),a statistical model(STM)using the evidence belief function(EBF),and their ensemble models(EMs)for three time periods(2000,2014,and 2017).The accuracy of machine learning algorithms(MLAs),STM,and EMs were assessed by considering the area under the curve—receiver operating characteristic(AUC-ROC).Evaluation of the accuracy levels of the aforementioned algorithms revealed that EM4(BRBP-CART-EBF)outperformed(AUC>90%)standalone and other ensemble models for the three time periods analyzed.Furthermore,this study investigated the relationships among land cover change(LCC),population growth(PG),road density(RD),and relative change of flooding(RCF)areas for the period between 2000 and 2017.The results showed that areas with very high susceptibility to flooding increased by 19.72%between 2000 and 2017,while the PG rate increased by 51.68%over the same period.The Pearson correlation coefficient for RCF and RD was calculated to be 0.496.These findings highlight the significant association between floods and causative factors.The study findings could be valuable to policymakers and resource managers as they can lead to improvements in flood management and reduction in flood damage and risks. | Mahfuzur Rahman Chen Ningsheng Golam Iftekhar Mahmud Md Monirul Islam Hamid Reza Pourghasemi Hilal Ahmad Jules Maurice Habumugisha Rana Muhammad Ali Washakh Mehtab Alam Enlong Liu Zheng Han Huayong Ni Tian Shufeng Ashraf Dewan | 2021 | Geoscience Frontiers2021，12，6： | 3 |
| 3 | Status of Power Generation by Domestic Scale Wind Turbines in Australia显示文摘 | Firoz Alam Abdulkadir Ali Iftekhar Khan Saleh Mobin | 2012 | Procedia Engineering2012，，： | 1 |
| 4 | Enhanced tolerance of transgenic tall rescue plants overexpressing 2-Cys peroxiredoxin against methyl viologen and heat stresses显示文摘 | Kyung-Hee Kim Iftekhar Alam Ki-Won Lee | 2010 | Biotechnol Lett2010，32，： | 1 |
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