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Study On Microbial Changes In Soil Under Different Management Modes Of Tomato And Eggplant

Posted on:2019-12-27Degree:MasterType:Thesis
Country:ChinaCandidate:C H RenFull Text:PDF
GTID:2493306323962199Subject:Pomology
Abstract/Summary:
In order to study the effect of different management modes on the soil microbial community structure and function of tomato and eggplant,the changes of soil microbial community structure and function diversity in tomato soil were studied by field experiment.In order to study the effect of different management modes on the structure and function of soil microorganism community in tomato and eggplant,the conventional fertilization of tomato soil,the application of Bacillus subtilis,the application of Terreitol,and the conventional fertilization were analyzed through field experiments.Four management modes were used in eggplant soil: traditional,Zhongyuan,optimal and new reduction.It is concluded that the dominant strains treated are Proteobacteria,Bacteroidetes,Acidobacteria,Gemmatimonadetes,Actinobacteria,Chloflexi,Suanganjun,Cyanobacteria,Through LEf Se analysis,it was found that the beneficial microbial treatments such as Bacillus subtilis,Lvwanjun,Jiangshijun,and so on increased significantly,and the difference in the optimal model of eggplant showed that the soil microorganism composition was more volatile than the traditional cultivation model.Comparing the gene fragments with the KEGG and CAZy database,it was found that the application of diethrin in tomato soil and the use of medium mode in eggplant could significantly increase the proportion of metabolic genes.According to the resistance gene abundance scale,most of the top 20 are resistance-related genes,which make crops quite resistant to fertilizers and chemicals,which are detrimental to daily farming.In the seven treatments,Bacillus subtilis was the most widely used in tomato,and in eggplant four,the number of resistance genes was the lowest.The soil microorganism community was stable and diverse,the soil microorganism resistance to fertilizer was low and the soil physicochemical properties were optimal.
Keywords/Search Tags:metagenome, LEfSe analysis, Species abundance, metabolic pathways, Resistance genes
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