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http://dx.doi.org/10.7744/kjoas.20210040

Analysis of domestic and foreign research trends of Tricholoma matsutake using text mining techniques  

Choi, Ah Hyeon (School of Forest Sciences and Landscape Architecture, Kyungpook National University)
Kang, Jun Won (School of Forest Sciences and Landscape Architecture, Kyungpook National University)
Publication Information
Korean Journal of Agricultural Science / v.48, no.3, 2021 , pp. 505-514 More about this Journal
Abstract
Among non-timber forest products, Tricholoma matsutake is a high value added item. Many countries, including Korea, China, and Japan, are doing research and technology development to increase artificial cultivation and productivity. However, the production of T. matsutake is on the decline due to global warming, abnormal temperatures and pine tree pest problems. Therefore, it is necessary to identify trends in domestic and foreign research on T. matsutake, respond to preemptive research and development to preserve the genetic resources of T. matsutake and increase its productivity. Based on the correlation between keywords in the high frequency keywords, it was observed that microbial clusters of T. matsutake are mainly found in Korea. The main focus in China has been the pharmacology studies on the ingredients of T. matsutake. The main focus in Japan has been on preserving the genetic diversity and species of T. matsutake. Thus, future domestic studies of T. matsutake will require pharmacological studies on the ingredients of T. matsutake and on its genetic diversity and species conservation. In addition, unlike China and Japan, genetic keywords did not appear in Korea at high frequency. Therefore, Korea will have to proceed with research using modern molecular biology techniques.
Keywords
data mining; text mining; trends; Tricholoma matsutake; Web of Science;
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