Fatty-acid Identification of Ralstonia solanacearum on Solanacae Crops

Abstract

Abstract: 【OBJECTIVE】Fatty-acid identification technology was used to identify the Ralstonia solanacearum on solanacae crops, in order to supply a technology for prevention and control of bacterial wilt disease.【METHOD】The pathogenies of bacterial wilt disease on eggplant, tomato and pepper plants were isolated and purified by using selective culture technology, and then identified by fatty-acid identification technology.【RESULTS】Among the 36 isolated pathogenies of bacterial wilt diseases of solanacae crops, 33 strains were identified as typical strains of R. solanacearum (91.67%). The ratios of the pathogenies identified as R. solanacearum were 100.0%, 90.0% and 89.5% on eggplant, tomato and pepper, respectively.【CONCLUSION】The fatty-acid identified technology was rapid and accurate, and the classification could be datalization and automatization. It might have a broad application on the detection of solanacae crop bacterial wilt.

CLC Number:

S432.4

Zhu Yujing, Xiao Rongfeng, Wang Qiuhong, Chen Lu, Liu Bo. Fatty-acid Identification of Ralstonia solanacearum on Solanacae Crops[J]. Chinese Agricultural Science Bulletin, 2008, 24(8): 392-395.

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