基于学科知识图谱的绿肥研究态势分析

doi:10.14088/j.cnki.issn0439-8114.2022.05.001

湖北农业科学 ›› 2022, Vol. 61 ›› Issue (5): 5-6.doi: 10.14088/j.cnki.issn0439-8114.2022.05.001

• 土壤·肥料 • 下一篇

基于学科知识图谱的绿肥研究态势分析

李宇翔¹, 钟菊新^1,2, 王磊³, 蒋云伟⁴, 宾焕军⁵, 陆炳强¹, 莫永诚¹, 李忠义¹

1.广西壮族自治区农业科学院,南宁 530007;
2.中国地质科学院岩溶地质研究所,广西桂林 541004;
3.广西壮族自治区茶叶科学研究所,广西桂林 541004;
4.桂林市农业科学研究中心,广西桂林 541004;
5.阳朔县农业农村综合发展中心,广西桂林 541900

收稿日期:2021-03-10 出版日期:2022-03-10 发布日期:2022-04-01
通讯作者: 李忠义（1983-）,副研究员,主要从事绿肥生产与应用研究工作,（电子信箱）lizhongyi2007@163.com。
作者简介:李宇翔（1983-）,男,山西大同人,副研究员,主要从事农业信息技术和农业经济管理工作,（电话）18607818900（电子信箱）gxliyuxiang@163.com。
基金资助:
广西科技计划项目（桂科AD20238081）; 广西创新驱动发展专项（桂科AA20302018-8）; 广西科技基地与人才专项（桂科AD19245202）; 广西特色作物试验站项目（TS202117）; 广西农业科学院绿肥创新团队项目（桂农科2021YT037）; 广西农业科学院科技发展基金项目（桂农科2021JM56）; 广西科技先锋队“强农富民、六个一”专项行动（桂农科盟 202013）

Research status on green manure based on the discipline knowledge graph

LI Yu-xiang¹, ZHONG Ju-xin^1,2, WANG Lei³, JIANG Yun-wei⁴, BIN Huan-jun⁵, LU Bing-qiang¹, MO Yong-cheng¹, LI Zhong-yi¹

1. Guangxi Academy of Agricultural Sciences, Nanning 530007, China;
2. Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, Guangxi,China;
3. Guangxi Tea Research Institute, Guilin 541004, Guangxi,China;
4. Guilin Research Center of Agricultural Science, Guilin 541004, Guangxi,China;
5. Integrated Agricultural and Rural Development Center of Yangshuo, Guilin 541900,Guangxi, China

Received:2021-03-10 Online:2022-03-10 Published:2022-04-01

摘要/Abstract

摘要： 以Web of Science数据库为基础,对1985—2020年发表的以绿肥为研究主题的文献进行可视化分析,为绿肥研究者跟踪研究前沿、把握研究方向提供理论参考。运用文献计量法,结合CiteSpace和VOSviewer可视化分析技术,绘制了绿肥研究学科知识图谱。结果表明,以绿肥为主题的期刊论文发文量整体呈上升趋势;刊载绿肥研究论文最多的国际期刊是《Agronomy journal》,其次是《Plant and soil》《Indian journal of agricultural sciences》;学科共现特征图谱表明,农学学科发文频次最高,影响力最强,而环境科学的交叉最广泛。在研究国家方面,美国、印度、巴西、中国占据主导地位;在研究机构方面,美国农业部农业研究所发文量最多,其次是加拿大农业与食品学会、中国农业科学院;在研究作者方面,中国农业科学院曹卫东研究员是发表绿肥领域论文最多的学者,形成了以其为核心的绿肥研究团队,其次为菲律宾的Ladha团队、巴西的Neto团队。在研究热点方面,绿肥研究集中在绿肥耕作管理、培肥土壤、氮素利用、固碳减排等领域,尤其是中国农业科学院的曹卫东团队在稻田绿肥紫云英培肥土壤、养分利用及固碳减排等方面取得了显著成绩,具有较强的国际影响力。

关键词: 绿肥, CiteSpace, VOSviewer, 可视化分析, 知识图谱

Abstract: In order to provided theoretical reference for researchers to track domestic and international research frontiers, grasp the research direction, the foreign literature of green manure from 1985 to 2020 were visually analyzed based on Web of Science database.Using the bibliometric method, combined with CiteSpace and VOSviewer visual analysis technology, the knowledge graph of green manure research subjects was drawn. The results showed that the number of papers on the theme of green manure was on the rise, and the international journal with the most research papers on green manure was Agronomy journal, followed by Plant and soil and Indian journal of agricultural sciences. From the network of discipline co-occurrence, agronomy had the highest frequency of publications and the strongest influence, while environmental science had the most extensive coverage. In terms of research countries, the United States had published the most papers, followed by India, Brazil, and China. In terms of research institutions, USDA Agricultural Research Institute has published the most papers, followed by the Agriculture and Agri-Food Canada and the Chinese Academy of Agricultural Sciences. In terms of research authors, Researcher Wei-dong Cao of the Chinese Academy of Agricultural Sciences was the scholar with the most research papers in the field of green manure research and had formed a green manure research team, followed by the Ladha team in the Philippines and the Neto team in Brazil. In terms of research hotspots, green manure research focused on the fields of green manure cultivation management, improving soil fertility, nitrogen utilization, carbon emission. In particular, the team of Wei-dong Cao from the Chinese Academy of Agricultural Sciences had made remarkable achievements in improving soil fertility, nutrient utilization, carbon emission in rice fields with the green manure of Astragalus vulgaris and had a strong international influence.

Key words: green manure, CiteSpace, VOSviewer, visualization, knowledge graph

中图分类号:

S142

李宇翔, 钟菊新, 王磊, 蒋云伟, 宾焕军, 陆炳强, 莫永诚, 李忠义. 基于学科知识图谱的绿肥研究态势分析[J]. 湖北农业科学, 2022, 61(5): 5-6.

LI Yu-xiang, ZHONG Ju-xin, WANG Lei, JIANG Yun-wei, BIN Huan-jun, LU Bing-qiang, MO Yong-cheng, LI Zhong-yi. Research status on green manure based on the discipline knowledge graph[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(5): 5-6.

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基于学科知识图谱的绿肥研究态势分析

Research status on green manure based on the discipline knowledge graph

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