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A bibliometric analysis of research on plant critical dilution curve conducted between 1985 and 2019
European Journal of Agronomy ( IF 4.5 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.eja.2020.126199
Rongrong Chen , Yan Zhu , Weixing Cao , Liang Tang

Abstract The concept of plant critical dilution curve (PCDC) has been studied on several crop species for about four decades, which has been widely applied in studies of crop nutrition evaluation, growth predictions, and fertilization management. This bibliometric analysis comprehensively explores the evolution trends in PCDC research based on literature data retrieved from the Web of Science from 1985 to 2019. The dynamics of the basic characteristics such as outputs, citations, institutions, authors, keywords and research topics of the published papers were studied. The results showed that the outputs and citations remained very low in the early years, then increased gradually, and increased quickly in recent years. INRA from France developed the theory, while research institutions from China and Canada as emerging groups applied the theory in different crops for crop N, growth, and quality indices as well as integrated it with non-destructive tools such as chlorophyll meter and remote sensing technologies in recent years. The frequency of the keywords “nitrogen nutrition index”, “use efficiency”, “management”, “leaf area index” and “vegetation index” in the PCDC study increased over years. The PCDCs along with a number of crops, such as wheat, maize, rice, forage grasses, potato, canola, and tomato, have been widely studied in different countries. Research on PCDC has mainly focused on the theory and development of PCDC, including P, K, S, and their interaction, crop modeling, remote sensing and non-destructive techniques, nutrition diagnosis and fertilization management. Analysis of the published papers revealed that crop modeling and remote sensing are emerging fields. The research trends proposed were: generic PCDCs for crop species, the interaction of N-P-K-S for balanced fertilization, and application of PCDC in crop modeling and remote sensing.
更新日期:2021-02-01
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