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2022, 02, v.50 80-89
基于CNKI的中国小麦倒伏研究文献计量分析
基金项目(Foundation): 安徽省重大科技专项资助项目(202003b06020021)
邮箱(Email): ljc5122423@126.com;
DOI: 10.16389/j.cnki.cn42-1737/n.2022.02.012
摘要:

为从总体上把握国内小麦倒伏领域研究现状和未来发展方向,运用CiteSpace可视化分析的文献计量方法 对2000-2020年间收录在CNKI数据库中以小麦倒伏为主题的相关文献,从年度发文数量、研究机构、发文作者、期刊分布、被引频次、资助基金及研究热点等方面进行分析。结果 表明:2000-2020年间小麦倒伏领域的研究发展迅速,发文数量整体呈上升趋势;涉农高校是该领域研究的主要力量,各机构和作者之间交流合作较少;《现代农业科技》刊载该领域文献最多,《麦类作物学报》总被引次数和篇均被引次数最高;国家级基金是小麦倒伏研究领域的主要资助来源;关键词聚类分析表明该领域研究热点为小麦高产抗倒伏的实现途径、小麦倒伏的原因和提高小麦抗倒伏能力的农艺措施研究等。上述研究结果 从文献计量学角度科学详细地描述了小麦倒伏领域的研究现状与进展,以期为未来小麦倒伏领域研究提供科学参考。

Abstract:

In order to grasp the research status and future development direction of the domestic wheat lodging field in general, CiteSpace was used to analyze the relevant literature with wheat lodging as the theme included in the CNKI database from 2000 to 2020from the aspects of the annual number of papers,research institutions,authors,journal distribution,citation frequency,funding funds and research hotspots. The results showed that the research in wheat lodging developed rapidly from 2000 to 2020,and the number of documents issued showed an upward trend as a whole. Agriculture-related universities were the main force of research in this field,and there were few exchanges and cooperation between institutions and authors. Modern Agricultural Science and Technology published the most documents in this field,and Journal of Triticeae Crops had the highest total citations and average citations. The national fund was the primary source of funding in wheat lodging research. Keyword cluster analysis showed that the research hotspots in this field were the ways of realizing high yield and lodging resistance of wheat,the causes of wheat lodging and the research on agronomic measures to improve wheat lodging resistance. The above research results scientifically and in detail describe the research status and progress in wheat lodging from the perspective of bibliometrics to provide scientific reference for the research in the field of wheat lodging in the future.

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基本信息:

DOI:10.16389/j.cnki.cn42-1737/n.2022.02.012

中图分类号:S512.1;G353.1

引用信息:

[1]张林,陈翔,李金才.基于CNKI的中国小麦倒伏研究文献计量分析[J].江汉大学学报(自然科学版),2022,50(02):80-89.DOI:10.16389/j.cnki.cn42-1737/n.2022.02.012.

基金信息:

安徽省重大科技专项资助项目(202003b06020021)

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