Method for constructing and predicting aerobic fermentation humus degree prediction model based on bacterial community data
An aerobic fermentation and prediction model technology, applied in the field of bioinformatics, can solve the problems of incomplete judgment results and complex judgment of humification degree, and achieve the effect of perfect abundance and accurate humification degree.
Active Publication Date: 2021-05-28
NORTHEAST AGRICULTURAL UNIVERSITY
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[0004] In view of this, the purpose of the present invention is to provide a method for constructing and predicting the humification degree prediction model of aerobic fermentation based on bacterial community data, so as to solve the long-standing problem of complex judgment of humification degree and incomplete judgment results
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Embodiment 1
[0073] 1. Data collection
[0074] According to the aerobic fermentation process on a laboratory scale, five aerobic fermentation materials (including garden waste, rice straw, cow dung, chicken manure, and sludge) were collected during the aerobic fermentation process (random sampling without distinguishing specific time). , Store the collected materials at -80°C for subsequent 16S rRNA amplicon sequencing to obtain bacterial community data of different organic solid wastes;
[0075] After the original materials are collected back to the laboratory, they are first dried in the sun; after the excess water in each material is removed, the materials are shredded to a particle size of 15-30mm, which is convenient for composting and decomposing; and the total organic carbon of different materials 2 and total Kjeldahl nitrogen determination 3 , using different materials to adjust the ratio of carbon to nitrogen (C / N) of the composting initial material to 25-30, adjust the initial ...
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The invention provides a method for constructing and predicting an aerobic fermentation humus degree prediction model based on bacterial community data, and belongs to the technical field of bioinformatics. The method comprises the following steps: screening common bacteria from bacterial communities in the aerobic fermentation process of different organic solid wastes, screening node bacteria and functional bacteria at the same time, and selecting key differential bacteria in the aerobic fermentation process of different organic solid wastes through difference analysis; constructing a bacterial code for aerobic fermentation on the basis of common bacteria in combination with key differential bacteria; taking the bacterial codes and the actual humification degree as training samples, and obtaining an aerobic fermentation humification degree prediction model through random forest model analysis; inputting the bacterial community of the to-be-predicted sample into the prediction model, so that the aerobic fermentation humification degree of different organic solid wastes is predicted, and the problems that the humification degree judgment is complex and the judgment result is incomplete for a long time are solved.
Description
technical field [0001] The invention belongs to the technical field of bioinformatics, and in particular relates to a method for constructing and predicting a prediction model for humification degree of aerobic fermentation based on bacterial community data. Background technique [0002] The degree of humification is a comprehensive index to identify the final quality of aerobic fermentation, and it is also a key factor affecting the safe application of the final product. Various non-biological indicators for traditionally evaluating the degree of humification, including physical evaluation indicators, chemical evaluation indicators, spectroscopy indicators, etc. Among them, physical indicators and chemical indicators have their own characteristics, but they have limitations in measurement and use. However, the spectrum method analyzes humic acid from the perspective of chemical dosimetry and material structure, and the information provided is not comprehensive, so it is di...
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IPC IPC(8): G16B20/30G16B40/00G16B50/00G06K9/62
CPCG16B20/30G16B40/00G16B50/00G06F18/24323
Inventor 魏自民杨红宇吴俊秋张书博赵越赵昕宇张旭解新宇陈晓蒙
Owner NORTHEAST AGRICULTURAL UNIVERSITY