文献类型： 外文期刊

作者： Weng, Ling ¹ ; Tang, Zhurui ¹ ; Sardar, Muhammad Fahad ⁵ ; Yu, Ying ⁶ ; Ai, Keyu ¹ ; Liang, Shurui ¹ ; Alkahtani, Jawaher ⁷ ; Lyv, Dianqiu ¹ ;

作者机构： 1.Southwest Univ, Coll Agron & Biotechnol, Chongqing, Peoples R China

2.Chongqing Key Lab Biol & Genet Breeding Tuber & Ro, Chongqing, Peoples R China

3.Minist Agr & Rural Affairs, Key Lab Germplasm Innovat Upper Yangtze River, Chongqing, Peoples R China

4.Minist Educ, Engn Res Ctr South Upland Agr, Chongqing, Peoples R China

5.Shandong Univ, Sch Life Sci, Key Lab Ecol Prewarning Protect & Restorat Bohai S, Minist Nat Resources, Qingdao, Peoples R China

6.Anhui Acad Agr Sci, Soil & Fertilizer Inst, Key Lab Nutrient Cycling & Arable Land Conservat A, Natl Agr Expt Stn Soil Qual, Hefei, Peoples R China

7.King Saud Univ, Coll Sci, Dept Bot & Microbiol, Riyadh, Saudi Arabia

关键词： potato; disease; control strategies; bibliometrics; biocontrol

期刊名称：FRONTIERS IN MICROBIOLOGY （ 影响因子：4.0； 五年影响因子：5.1 ）

ISSN：

年卷期： 2024 年 15 卷

页码：

收录情况： SCI

摘要： Research on potato diseases had been widely reported, but a systematic review of potato diseases was lacking. Here, bibliometrics was used to systematically analyze the progress of potato disease. The publications related to "potato" and "disease" were searched in the Web of Science (WOS) from 2014 to 2023. The results showed that a total of 2095 publications on potato diseases were retrieved, with the annual publication output increasing year by year at a growth rate of 8.52%. The main countries where publications were issued were the United States, China, and India. There was relatively close cooperation observed between China, the United States, and the United Kingdom in terms of international collaboration, while international cooperation by India was less extensive. Based on citation analysis and trending topics, potential future research directions include nanoparticles, which provides highly effective carriers for biologically active substances due to their small dimensions, extensive surface area, and numerous binding sites; machine learning, which facilitates rapid identification of relevant targets in extensive datasets, thereby accelerating the process of disease diagnosis and fungicide innovation; and synthetic communities composed of various functional microorganisms, which demonstrate more stable effects in disease prevention and control.