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Visualization Analysis Of Livestock Manure In The Past 10 Years

Posted on:2019-09-01Degree:MasterType:Thesis
Country:ChinaCandidate:X H LiFull Text:PDF
GTID:2371330563957237Subject:Environmental Engineering
Abstract/Summary:PDF Full Text Request
As an important research method in the field of bibliometrics,visualization analysis can reveal the literature in an area objectively and visually to excavate its potential information.This study was based on the 3,532 articles on the livestock manure research conducted by the Web of Science core collection in 2008-2017,and obtained the content,priorities,and future development trends of the current research in this field.The main conclusions are as follows:(1)The relevant literatures on livestock manure has shown an increasing trend over the past decade,which is mainly distributed in BIORESOURCE TECHNOLOGY based journals and mainly in Agronomy.The countries with the highest number of documents are the United States and China,and the research institutions are mainly Agr & Agri Food Canada.Domestic and foreign authors have worked closely together,and scholars such as McAllister TA have made outstanding contributions to the research on livestock manure.(2)According to the method of co-word analysis,the research of livestock manure mainly concentrated on pig manure,cow dung and soil.The anaerobic digestion process,wastes,and the fate of nitrogen and phosphorus are the main contents and focuses of the current research on livestock manure.(3)Through the use of word frequency analysis,the main research of livestock manure should be based on methane production,co-digestion,food wastes,and gut microbiota,which are incremental frontiers.Anaerobic digestion is one of the best processes for the production of methane;the co-digestion with food wastes and livestock manure can produce methane more efficiently;and by adjusting the gut microbiota in manure,the incidence of livestock diseases and the use of antibiotics can be reduced.
Keywords/Search Tags:livestock manure, bibliometrics, visualization analysis, Web of Science
PDF Full Text Request
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