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Chinese Agricultural Science Bulletin ›› 2024, Vol. 40 ›› Issue (16): 156-164.doi: 10.11924/j.issn.1000-6850.casb2024-0032

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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 Online:2024-06-05 Published:2024-05-30

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