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Hefei, China

Anhui Agricultural University is a Chinese institution of higher learning located in the urban area of Hefei, the provincial capital of Anhui Province, China. As A Jointly-Funded University By Anhui Provincial People's Government And The Ministry of Agriculture of the PRC. It excels in agricultural, forestry and life science, and covers engineering, science, economics, business, literature, law and medicine.The origin of the university dated back to 1928, when Anhui Provincial University was founded. In 1935, the school of agriculture was formed. In 1954, the agricultural branch was separated, and became an independent institution. The school adopted its current name, "Anhui Agricultural University", in 1995. Wikipedia.


Li P.,Anhui Agricultural University
Genetics and molecular research : GMR | Year: 2012

Phytophthora capsici is a plant pathogenic oomycete that damages numerous crops worldwide. Consequently, interest in research on the genetic structure of this species has grown in recent decades. However, there is little information about P. capsici in eastern China. We investigated the genetic diversity of P. capsici isolates from three large regions of Anhui Province in eastern China based on ISSR-PCR technology. Thirteen random primers were screened and used to amplify DNA from 51 samples. We obtained 158 reproducible ISSR fragments, of which 90% were polymorphic, revealing a high degree of polymorphism among the isolates. Genetic similarity coefficients among all the isolates ranged from 0.56 to 0.94, with a mean of 0.84 based on the ISSR data, indicating a high level of genetic variation in these P. capsici isolates. Cluster analysis using UPGMA indicated that the Anhui isolates were divided into seven groups according to the DNA fingerprints, although there was no correlation between the ISSR group and geographic origin. Isolates from the same location showed no clustering based on the year of sampling. AMOVA partitioned variability among (13.6%) and within populations (86.4%). The gene flow among populations ranged from 2.804 to 4.937, with a mean of 3.545, indicating highly frequent gene exchange. Genetic distances and genetic differentiation were negatively correlated with geographic distances. These results lead us to suggest that this pathogen has considerable evolutionary potential, which will enable it to adapt to and overcome management strategies over time. Source


Yue C.,Anhui Agricultural University
Journal of University of Science and Technology of China | Year: 2013

The existence and uniqueness of the solution to stochastic functional differential equations with infinite delay at phase space (Cg, | •|g) under non-Lipschitz conditions and a weakened linear growth condition were obtained by means of the Picard approximations. The continuous dependence of solutions on the initial value was given by means of the corollary of Bihari inequality. Source


Song C.,University of North Carolina at Chapel Hill | Song C.,Anhui Agricultural University
Progress in Physical Geography | Year: 2013

Forests are the most complex terrestrial ecosystem on Earth's land surface, providing vital goods and services upon which the welfare of humanity depends. The quantification of leaves and biomass in forests is critical for understanding the ecological role of forests in the terrestrial ecosystem. Great effort has been dedicated to the mapping of leaf area and biomass using remotely sensed data. This review focuses on the use of optical remote sensing in mapping leaf area index (LAI) and aboveground biomass for forests. Significant progress has been made in mapping LAI in the past few decades. Mapping of LAI started with location-specific empirical approaches and evolved to semi-empirical and biophysical approaches, which can be applied globally. Although there are some biases in the current LAI products, it can be expected that better-quality LAI products will be delivered in the future. At present, mapping biomass remains predominantly empirical because there is no direct physical relationship between reflected energy in visible, near or mid infrared wavelengths and biomass. Mapping biomass relies on the explicit or implicit mapping of forest structural parameters that are related to biomass allometrically. Although optical images have been successfully used in mapping biomass in low biomass areas, it remains a challenge to map biomass in forested areas with high biomass density due to signal saturation. © The Author(s) 2012. Source


Ke F.,Suzhou University of Science and Technology | Ke F.,Anhui Agricultural University | Wang L.,Suzhou University of Science and Technology | Zhu J.,Suzhou University of Science and Technology
Nanoscale | Year: 2015

The recovery and reuse of expensive catalysts are important in both heterogeneous and homogeneous catalysis due to economic and environmental reasons. This work reports a novel multifunctional magnetic core-shell gold catalyst which can be easily prepared and shows remarkable catalytic properties in the reduction of 4-nitrophenol. The novel Au-Fe3O4@metal-organic framework (MOF) catalyst consists of a superparamagnetic Au-Fe3O4 core and a porous MOF shell with controllable thickness. Small Au nanoparticles (NPs) of 3-5 nm are mainly sandwiched between the Fe3O4 core and the porous MOF shell. Catalytic studies show that the core-shell structured Au-Fe3O4@MOF catalyst has a much higher catalytic activity than other reported Au-based catalysts toward the reduction of 4-nitrophenol. Moreover, this catalyst can be easily recycled due to the presence of the superparamagnetic core. Therefore, compared to conventional catalysts used in the reduction of 4-nitrophenol, this porous MOF-based magnetic catalyst is green, cheap and promising for industrial applications. © 2015 The Royal Society of Chemistry. Source


Wang W.,Sun Yat Sen University | Wang W.,Anhui Agricultural University | Xie Z.-P.,Sun Yat Sen University | Staehelin C.,Sun Yat Sen University
Plant Journal | Year: 2014

The expression of chimeric receptors in plants is a way to activate specific signaling pathways by corresponding signal molecules. Defense signaling induced by chitin from pathogens and nodulation signaling of legumes induced by rhizobial Nod factors (NFs) depend on receptors with extracellular lysin motif (LysM) domains. Here, we constructed chimeras by replacing the ectodomain of chitin elicitor receptor kinase 1 (AtCERK1) of Arabidopsis thaliana with ectodomains of NF receptors of Lotus japonicus (LjNFR1 and LjNFR5). The hybrid constructs, named LjNFR1-AtCERK1 and LjNFR5-AtCERK1, were expressed in cerk1-2, an A. thaliana CERK1 mutant lacking chitin-induced defense signaling. When treated with NFs from Rhizobium sp. NGR234, cerk1-2 expressing both chimeras accumulated reactive oxygen species, expressed chitin-responsive defense genes and showed increased resistance to Fusarium oxysporum. In contrast, expression of a single chimera showed no effects. Likewise, the ectodomains of LjNFR1 and LjNFR5 were replaced by those of OsCERK1 (Oryza sativa chitin elicitor receptor kinase 1) and OsCEBiP (O. sativa chitin elicitor-binding protein), respectively. The chimeras, named OsCERK1-LjNFR1 and OsCEBiP-LjNFR5, were expressed in L. japonicus NF receptor mutants (nfr1-1; nfr5-2) carrying a GUS (β-glucuronidase) gene under the control of the NIN (nodule inception) promoter. Upon chitin treatment, GUS activation reflecting nodulation signaling was observed in the roots of NF receptor mutants expressing both chimeras, whereas a single construct was not sufficient for activation. Hence, replacement of ectodomains in LysM domain receptors provides a way to specifically trigger NF-induced defense signaling in non-legumes and chitin-induced nodulation signaling in legumes. © 2014 John Wiley & Sons Ltd. Source

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