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Articles by Zhang Feng
Total Records ( 2 ) for Zhang Feng
  Li Qiu , Chao Sun , Hu Yang , Chunli Li , Zhang Feng , Yahui Zhao , Xiaoye Liu , Rui Wang , Min Duan , Xinglong Wang and Zengqi Yang
  This study aims to establish a rapid and sensitive multiplex PCR Method for Salmonella detection and the differentiation of virulent strains. Four sets of primers that target hisJ, spvR and fliC were designed and the PCR reaction conditions were then optimized. Based on the detection of reference Salmonella strains and other reference bacterial genera, the PCR Method was able to detect hisJ, spvR, fliC-c and fliC-i in Salmonella. The minimum detectable DNA concentration of the method is 100 pg. The results using the reference strains were consistent with previous research. In addition, this method can also be used in identifying S. typhimurium and S. arizona. Researchers successfully developed a convenient and useful multiplex PCR Method for detecting Salmonella and monitoring virulent strains.
  LI Bo , ZHANG Feng , ZHANG Li-Wen , HUANG Jing-Feng , JIN Zhi-Feng and D.K. GUPTA
  Tea (Camellia sinensis) is one of the most valuable cash crops in southern China; however, the planting distribution of tea crops is not optimal and the production and cultivation regions of tea crops are restricted by law and custom. In order to evaluate the suitability of tea crops in Zhejiang Province, the annual mean temperature, the annual accumulated temperature above 10 °C, the frequency of extremely low temperature below −13 °C, the mean humidity from April to October, slope, aspect, altitude, soil type, and soil texture were selected from climate, topography, and soil factors as factors for land ecological evaluation by the Delphi method based on the ecological characteristics of tea crops. These nine factors were quantitatively analyzed using a geographic information system (GIS). The grey relational analysis (GRA) was combined with the analytic hierarchy process (AHP) to address the uncertainties during the process of evaluating the traditional land ecological suitability, and a modified land ecological suitability evaluation (LESE) model was built. Based on the land-use map of Zhejiang Province, the regions that were completely unsuitable for tea cultivation in the province were eliminated and then the spatial distribution of the ecological suitability of tea crops was generated using the modified LESE model and GIS. The results demonstrated that the highly, moderately, and non-suitable regions for the cultivation of tea crops in Zhejiang Province were 27 552.66, 42 724.64, and 26 507.97 km2, and accounted for 28.47%, 44.14%, and 27.39% of the total evaluation area, respectively. Validation of the method showed a high degree of coincidence with the current planting distribution of tea crops in Zhejiang Province. The modified LESE model combined with GIS could be useful in quickly and accurately evaluating the land ecological suitability of tea crops, providing a scientific basis for the rational distribution of tea crops and acting as a reference to land policy makers and land use planners.
 
 
 
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