Application Of Multivariate Statistical Analysis Model In Soil Ecosystem Analysis In The Rhizosphere Of Camellia Sinensis

Soil ecosystems are composed of complex interactions between biological communities and environmental variables.In soil ecosystems,soil microorganisms play an important role in plant health and agricultural production,however,environmental variables strongly affect the structure of soil microbial communities.The planting area of tea plantation in China is the largest in the word,and tea tree is an important economic crop in China.At present,the research on the relationship between soil microbial communities in the rhizosphere of Camellia sinensis and environmental factors has become an important topic in agricultural production.In this work,based on the data of rhizosphere soil miccroorganisms and environmental variables in tea plantations,the multivariate statistical analysis model was constructed to quantitatively analyze the relationship between rhizosphere soil microbial composition and environmental factors.Firstly,the differences of environmental variables among nine regions were analyzed.Then,according to the data of environmental variables and microbial communities,based on the unweighted pair-group method with arithmetic mean(UPGMA),all samples were clustered into five categories.And the differences of microbial communities among different groups were analyzed.Then,a redundancy analysis(RDA)model was established to investigate relationships between the rhizosphere bacterial community composition and environmental factors,while the variation partitioning analysis(VPA)were implemented to further determine the contributions of environment variables to bacterial community structure.Finally,stepwise multiple linear regression model were established to predict the rhizosphere soil bacterial community composition based on the three environmental variables,and the leave-one-out cross validation and root mean square error(RMSE)were used to evaluate the prediction effect of the model.The results showed that the bacterial community structure of tea rhizosphere soil was strongly affected by soil pH,aluminum(Al)and phenolic acid(PA),and the result of VPA analysis showed that soil pH had the highest contribut ion rate(15.1%)to the variation of bacterial community structure among the three environmental factors.The relative abundances of 19 dominant bacterial genera were predicted by multiple linear regression model based on environmental variables,with RMSE values ranging from 0.522 to 6.225.More generally,the prediction model can also be adopted to predict the rest of the non-dominant genera,so as to predict the entire microbial community structure.In addition,this method can also be extent to the similar analysis of other plants.