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中国农学通报

中国农学通报 ›› 2024, Vol. 40 ›› Issue (16): 156-164.doi: 10.11924/j.issn.1000-6850.casb2024-0032

• 农业信息·科技教育 • 上一篇    

玉米产量性状遗传特性研究进展的可视化分析

高婧1,2(), 秦梦凡2, 李坤2(), 李武2()   

  1. 1 华中农业大学植物科学技术学院，武汉 430070
    2 广东省农业科学院作物研究所/广东省农作物遗传改良重点实验室，广州 510640
  • 收稿日期:2024-01-11 修回日期:2024-04-20 出版日期:2024-06-05 发布日期:2024-05-30
  • 通讯作者:
    李武，男，1981年出生，重庆开州人，研究员，博士，研究方向为作物遗传育种及栽培技术。通信地址：510640 广东省广州市天河区五山街道金颖西街18号 广东省农业科学院作物研究所，Tel：020-87564526，E-mail：。
    李坤，男，1991年出生，安徽阜阳人，助理研究员，博士，研究方向为甜玉米遗传育种。通信地址：510640 广东省广州市天河区五山街道金颖西街18号 广东省农业科学院作物研究所，Tel：020-87564526，E-mail：。
  • 作者简介:

    高婧，女，1995年出生，河南周口人，在读硕士，研究方向：作物遗传育种。通信地址：510640 广东省广州市天河区五山街道金颖西街18号 广东省农业科学院作物研究所，Tel：020-87564526，E-mail：。

  • 基金资助:
    广州市重点研发专项“优质兼抗甜糯型鲜食玉米新品种选育及标准化栽培技术研究”(202206010172); 2022年省级乡村振兴战略专项资金种业振兴项目“鲜食玉米商业化育种体系构建及突破性新品种选育”(粤财农[2022]184号); 广东省省科技计划项目“广东－南亚东南亚国家农业科技人员科技创新能力提升培训”(2021A0505040002); 中国种子集团有限公司横向科技项目“甜糯玉米优新品种选育及产业化”(ZWS-KYSR2022061); 广东省农业科学院作物研究所“悬赏制”自由探索专项“玉米同位双胚孪生性状形成的分子遗传机制”(粤农科作[2022]63号)

Visualization Analysis of Research Progress on Genetic Characteristics of Yield Traits in Maize

GAO Jing1,2(), QIN Mengfan2, LI Kun2(), LI Wu2()   

  1. 1 College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070
    2 Crops Research Institute, Guangdong Academy of Agricultural Sciences/Key Laboratory of Crop Genetic and Improvement of Guangdong Province, Guangzhou 510640
  • Received:2024-01-11 Revised:2024-04-20 Published:2024-06-05 Online:2024-05-30

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摘要：

基于中国知网(CNKI)和Web of Science(WoS)核心合集数据库的相关文献，应用VOSviewer软件，以图和表的形式对有关玉米产量性状遗传特性研究文章的文献量、作者、机构、期刊、关键词等数据进行可视化分析。共收集到1976—2022年间收录在CNKI数据库的中文文献782篇及WoS数据库的英文文献2140篇。根据关键词共现网络分析，CNKI数据库在此领域的研究内容主要涉及玉米籽粒、根系等产量性状相关的遗传研究和QTL定位、配合力遗传效应及杂交种产量性状关联分析等，WoS数据库主要关注产量性状QTL定位、非生物因子调控玉米形态来影响产量的生理生态研究。研究发现，在21世纪之前，玉米产量性状遗传特性的研究多集中在相关形态指标的生理生态研究，之后逐步重点扩增到影响产量表达的分子机制挖掘方向。总体来讲，有关玉米产量遗传特性研究的热点在未来仍可能趋向于调控产量性状遗传表达的基因挖掘、多组学等分析，以及非生物因子影响产量因子表达的生理生态等研究这2个模块。作者、机构合作关系可视化网络图显示，国内间合作相对密切，国内外合作相对不足。此外，2个数据库中收录文献排名及被引用频次等数据表明，玉米产量性状遗传特性这一方向在中国有较好的研究热度，但成果突出水平在世界范围内有待加强，因此建议科研人员进一步深化研究内容，并加大国内外团队的合作力度，以增强国内玉米产量性状遗传解析的实力，提高研究成果在世界范围的关注度与认可度。

关键词: 玉米, 产量, 遗传特性, VOSviewer, 可视化分析

Abstract:

Based on the relevant literature in the CNKI and WoS core collection databases, we used VOSviewer software to make visualization analyses on the literature quantity, authors, institutions, journals, keywords and other data of the literature related to the genetic characteristics of maize yield traits in the form of graphs and tables. A total of 782 Chinese literatures and 2140 English literatures included in CNKI database and WOS database from 1976 to 2022 were collected. According to the keywords co-occurrence network analysis, the research contents of CNKI database in this field mainly involved the genetic research related to maize yield traits such as grain and root, QTL mapping, genetic effect of combining ability, and the association analysis of hybrid yield traits; and the QTL mapping of yield traits and physiological and ecological studies on the effects of abiotic factors on maize yield by regulating maize morphology were focused by the WoS database. This study found that before the 21st century, the research of genetic characteristics of maize yield traits were mainly focused on the physiological and ecological research of related morphological indicators, and then gradually expanded to the mining of molecular mechanisms affecting yield expression. In general, the research hotspots of maize yield genetic characteristics will continue to focus on gene mining and multi-omics analysis that regulates the genetic expression of yield traits and physiological and ecological studies that affect the expression of yield factors by abiotic factors in the future. The Co-authorship and Co-institution networks showed that domestic cooperation was relatively close, while international cooperation was relatively insufficient. In addition, the ranking and cited frequency of the literatures included in the two databases showed that genetic characteristics of maize yield traits had been well studied in China, but the outstanding achievements needed to be strengthened in the world. Therefore, it is recommended to further deepen the research and strengthen the cooperation between domestic and foreign teams to enhance the strength of genetic analysis of maize yield traits in China and promote the attention and recognition of domestic research on genetic characteristics of maize yield.

Key words: maize, yield, genetic characteristic, VOSviewer, visualization analysis