Research on concept-sememe tree and semantic relevance computation

PACLIC 20 / Wuhan, China / 1-3 November, 200

Cereal cyst nematodes : biology and management in Pacific Northwest wheat, barley, and oat crops

Cereal cyst nematodes reduce yields of wheat, barley, and oats in the Pacific Northwest states of Idaho, Oregon, and Washington. It is estimated that these pests reduce wheat profitability in these states by at least $3.4 million annually. This publication describes the distribution, biology, damage, management, and detection of cereal cyst nematodes.Published October 2010. A more recent revision exists. Please check for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalogKeywords: Pacific Northwest, Heterodera filipjevi, cereal crops, Heterodera avenae, cereal cyst nematode

Discovery of Heterodera filipjevi in Washington and comparative virulence with H. avenae on wheat

The cereal cyst nematode Heterodera avenae suppresses wheat production in the western United States. A second species of cereal cyst nematode, H. filipjevi, was identified in eastern Oregon during 2008. This paper reports the discovery of H. filipjevi–infested fields in eastern Washington, thereby extending the known distribution of H. filipjevi in the United States. The identity of H. filipjevi was determined and confirmed by species-specific polymerase chain reaction (PCR), PCR-restriction fragment length polymorphism (RFLP), sequencing, and cyst morphology. Soils that were collected from naturally infested fields in Washington were used to compare the virulence of H. avenae and H. filipjevi on six spring wheat cultivars under controlled-environment conditions. Noninfested soils from nearby fields were used as controls. Cultivars Ouyen and WB Rockland were resistant to H. avenae and susceptible to H. filipjevi. Cultivars Sönmez and SY Steelhead were resistant to H. filipjevi and susceptible to H. avenae. Cultivars Louise and WB 936 were susceptible to both species. The resistance of SY Steelhead to ‘H. avenae’, reported in a previous paper, is corrected as resistance to H. filipjevi due to an earlier misidentification of H. filipjevi. Management guidelines that include crop rotations and resistant cultivars are presented. Discovery of additional infestations of H. filipjevi are anticipated when DNA-based tests become used routinely in commercial diagnostic laboratories

HowNet Based Chinese Question Classification

PACLIC 20 / Wuhan, China / 1-3 November, 200

An expert system based on 1 H NMR spectroscopy for quality evaluation and adulteration identification of edible oils

Abstract(#br)The advantages of nuclear magnetic resonance (NMR) such as nondestructive and simultaneous detection, high reproducibility and rapidity make it easily develop the objective and credible methods for food analysis and identification. In this study, we developed a computer-aided, MATLAB-scripted expert system which enables NMR data to distinguish different edible oils and evaluate the quality of edible oils. The NMR spectral data of seven species of most popular vegetable edible oils in China were used to establish the assessment criterions including the content percentage of fatty acids and the quality parameters of edible oils. In our case, the identification accuracy of vegetable origin for the pure edible oils is 95.83% and that for the mixed edible oils is 89.58%, and all the recycled waste cooking oils and fried oils were correctly screened out and identified by the expert system. Further, the quality information of the edible oils was also provided. Our results show that the current expert system is a fast, easy-operated and convenient tool for the adulteration identification and quality control of edible oils

Detection and Quantification of Pratylenchus thornei in DNA Extracted from Soil Using Real-Time PCR

The root-lesion nematode Pratylenchus (hornet is one of the most important pests restricting productivity of wheat in the Pacific Northwest (PNW). It is laborious and difficult to use microscopy to count and identify the nematodes in soils. A SYBR Green I-based real-time polymerase chain reaction (PCR) assay was developed to detect and quantify this species from DNA extracts of soil. A primer set, designed from the internal transcribed spacer region (ITSI) of rDNA, was highly specific to P. thornei and did not amplify DNA from 27 isolates of other Pratylenchus spp., other nematodes, and six fungal species present in PNW wheat fields. A standard curve relating threshold cycle and log values of nematode number was generated from artificially infested soils. The standard curve was supported by a high correlation between the numbers of P thornei added to soil and the numbers quantified using real-time PCR. Examination of 15 PNW dryland field soils and 20 greenhouse samples revealed significant positive correlations between the numbers determined by real-time PCR and by the Whitehead tray and microscopic method. Real-time PCR is a rapid, sensitive alternative to time-consuming nematode extractions, microscopic identification, and counting of P thornei from field and greenhouse soils.Keywords: root disease, Pacific Northwest, Potato cyst nematode, Root lesion nematodes, Quantitative PCR, Meloidogyne incognita, in silico analysis, Genus pratylenchus, Polymerase chain reaction, Fragment length polymorphism, Wheat, IdentificationKeywords: root disease, Pacific Northwest, Potato cyst nematode, Root lesion nematodes, Quantitative PCR, Meloidogyne incognita, in silico analysis, Genus pratylenchus, Polymerase chain reaction, Fragment length polymorphism, Wheat, Identificatio