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Your search keyword '"Li, Shidong"' showing total 26 results
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26 results on '"Li, Shidong"'

12. Determination of tumorigenic Agrobacterium density in soil by real-time PCR assay and its effect on crown gall disease severity

Author

Guo Rongjun, Qian Li, Shifang Li, Hongqing Wang, and Li Shidong

Subjects
Soil test, Agrobacterium, Inoculation, Outbreak, Sowing, Plant Science, Horticulture, Biology, biology.organism_classification, Botany, Gall, Primer (molecular biology), Agronomy and Crop Science, Pathogen
Abstract

Tumorigenic Agrobacterium-induced crown gall disease significantly limits the production of peach, cherry, and other fruit trees in China. Thus, the rapid detection of pathogens is necessary for disease prediction and management. In this study, we designed the primer pair ipt 3F/ipt 3R on the basis of the ipt gene. This primer pair effectively amplified a 247 bp DNA fragment from the transferred DNA (T-DNA) sequences of tumorigenic Agrobacterium. By using this primer pair, we developed a sensitive real-time PCR method for quantifying tumorigenic Agrobacterium in soil at a level as low as 102 cfu/g. We used this assay to detect tumorigenic Agrobacterium in 19 soil samples. Levels were ≤102 cfu/g in maize or uncultivated soil and 103 to106 cfu/g in soil planting with peach or cherry. The relationship between the disease severity and the tumorigenic Agrobacterium density in soil was verified by artificial inoculation test. The disease incidence was 30 to 50 %, and the disease index was 20 to 30 in soil inoculated with A. tumefaciens at 103 cfu/g. The disease incidence increased to >80 % when the inoculation density of A. tumefaciens was increased to >105 cfu/g soil. These results indicated that tumorigenic Agrobacterium density in soil severely affected the incidence of crown gall formation on peach seedlings, and 103 bacterial cells in 1 g of soil were inappropriate for peach planting. Determination of pathogen density for gall formation can improve the prediction of crown gall disease outbreaks as well as aid in the management of this disease.

Published
2015

14. Quantitative site classification in the key county in the conversion of farmland to forests project

Author

Li Junqing, Shen Guofang, Zhai Ming-pu, and Li Shidong

Subjects
Ecology, business.industry, Environmental resource management, Key (cryptography), Environmental science, Analytic hierarchy process, Forestry, Vegetation, Inner mongolia, business, Ecology, Evolution, Behavior and Systematics, Hierarchical clustering
Abstract

According to the requirements of the conversion of farmland to forests project (CFFP), we investigated the vegetation factors and environmental factors from more than 6,105 sub-compartments in Liangcheng County, Inner Mongolia by using the Matlab, analytic hierarchy process (AHP), and the hierarchical cluster method (HCM). The site conditions were classified quantitatively. The results show that CFFP at this site comprises five site-type groups and 19 site types. A quantitative site classification system method has been established in this paper.

Published
2006

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