CN-122017190-A - Black soil fertility assessment method and system combined with microbial community detection

CN122017190ACN 122017190 ACN122017190 ACN 122017190ACN-122017190-A

Abstract

The application discloses a black soil fertility assessment method and a system combining with microbial community detection, and relates to the technical field of soil fertility assessment, wherein the method comprises the steps of collecting soil basic physical and chemical property indexes of black soil and outputting a first fertility assessment result; the method comprises the steps of collecting monitoring data of a microbial community of black soil, outputting a second fertility assessment result, respectively performing direct influence and indirect influence assessment according to a preset planting scheme, configuring a first weight and a second weight, performing weighted fusion on the first fertility assessment result and the second fertility assessment result according to the first weight and the second weight, and outputting a final black soil fertility assessment result. The technical problem that the existing black soil fertility assessment method only depends on the physical and chemical property indexes of the soil foundation, so that the assessment result cannot comprehensively and accurately reflect the complex characteristics and the comprehensive fertility condition of the black soil ecological system is solved.

Inventors

YU JIE
HAN SONG
HU XIAOLIN
YU MIAO
ZHAO HAO

Assignees

黑龙江省黑土保护利用研究院(黑龙江省农业科学院土壤肥料与环境资源研究所、黑龙江省农业科学院农村能源与环保研究所)
黑龙江莱恩检测有限公司

Dates

Publication Date: 20260512
Application Date: 20260112

Claims (10)

1. The black soil fertility assessment method combined with the detection of the microbial community is characterized by comprising the following steps of: Collecting soil basic physical and chemical property indexes of black soil in a target area as direct evaluation data, and performing black soil fertility evaluation to output a first fertility evaluation result; Collecting microbial community monitoring data of black soil in a target area in a historical time range as indirect evaluation data, and performing black soil fertility evaluation to output a second fertility evaluation result; direct influence and indirect influence evaluation are respectively carried out according to a preset planting scheme of the target area, and a first weight and a second weight are configured according to the influence degree; And carrying out weighted fusion on the first fertility assessment result and the second fertility assessment result according to the first weight and the second weight, and outputting a final black soil fertility assessment result.
2. The method for evaluating the fertility of a black soil in combination with a microbial community detection according to claim 1, wherein the soil basic physicochemical property indexes at least comprise a black soil layer thickness, a soil organic matter content, a soil pH value, a cation exchange amount, an alkaline hydrolysis nitrogen content, an available phosphorus content and a quick-acting potassium content.
3. The method for evaluating the fertility of a black soil in combination with a detection of a microbial community according to claim 2, wherein performing the evaluation of the fertility of a black soil to output a first fertility evaluation result comprises: Preparing a soil fertility direct evaluation system, wherein the soil fertility direct evaluation system comprises index weight distribution and an index value-fertility index mapping table; based on the index value-fertility index mapping table, evaluating the fertility of the black soil according to the thickness of the black soil layer, the organic matter content of the soil, the pH value of the soil, the cation exchange capacity, the alkaline hydrolysis nitrogen content, the available phosphorus content and the quick-acting potassium content, and outputting first fertility index distribution; and carrying out weighted fusion on the first fertility index distribution according to the index weight distribution to obtain a first comprehensive fertility index serving as a first fertility evaluation result.
4. The method for evaluating the fertility of a black soil in combination with a microbial community detection according to claim 1, wherein the collected black soil of the target area is continuously monitored for the obtained microbial community sequence, microbial community structure sequence and microbial activity index sequence in a historical time range as microbial community monitoring data.
5. The method for evaluating the fertility of a black soil in combination with a microbial community detection according to claim 4, wherein performing the evaluation of the fertility of a black soil to output a second fertility evaluation result comprises: Based on historical black soil fertility detection records, collecting a sample microorganism group sequence set, a sample microorganism community structure sequence set, a sample microorganism activity index sequence set and a sample black soil fertility index set; The sample microorganism group sequence set, the sample microorganism community structure sequence set and the sample microorganism activity index sequence set are adopted as inputs, the sample black soil fertility index set is adopted as supervision, a long-time and short-time memory network is trained to converge, and a black soil fertility indirect evaluation model is generated; and utilizing the black soil fertility indirect evaluation model, and evaluating according to the indirect evaluation data to obtain a second comprehensive fertility index as a second fertility evaluation result.
6. The method for evaluating the fertility of black soil in combination with detection of a microbial community according to claim 1, wherein direct influence and indirect influence evaluation are performed according to a preset planting scheme of a target area, respectively, and the first weight and the second weight are configured according to the influence degree, comprising: acquiring a preset planting scheme of a target area, wherein the preset planting scheme comprises a planting system and a planting crop type; Taking the planting system and the type of the planted crops as constraints, taking black soil planting as guidance, carrying out association analysis on the soil basic physicochemical property index and the crop harvesting quality by utilizing agricultural big data, and outputting a first direct association coefficient as a first direct influence degree; Taking the planting system and the type of the planted crops as constraints, taking black soil planting as guidance, carrying out association analysis on the microbial community monitoring data and the crop harvesting quality by utilizing agricultural big data, and outputting a second direct association coefficient as a second direct influence degree; the first and second weights are configured based on the first and second direct effects.
7. The method for evaluating the fertility of a black soil in combination with a microbial community detection according to claim 6, wherein, configuring the first weight and the second weight based on the first direct influence degree and the second direct influence degree, including: Predicting and acquiring predicted microbial community data in a future time range according to the microbial community monitoring data, wherein the predicted microbial community data comprises a predicted microbial community sequence, a predicted microbial community structure sequence and a predicted microbial activity index sequence; respectively extracting features of the predicted microorganism group sequence, the predicted microorganism community structure sequence and the predicted microorganism activity index sequence to obtain a predicted group abundance sequence, a predicted community structure feature sequence and a predicted functional activity feature sequence, wherein the community structure features comprise species uniformity, species diversity, community succession rate, community stability index and fungus/bacteria abundance ratio, and the functional activity features comprise carbon circulation gene abundance, nitrogen circulation gene abundance, phosphorus circulation gene abundance and microorganism metabolism entropy; Respectively carrying out index fluctuation analysis on the predicted group abundance sequence, the predicted community structure feature sequence and the predicted functional activity feature sequence, and carrying out weighted calculation according to a plurality of index variation coefficients to obtain microorganism growth fluctuation degree; and configuring a first weight and a second weight according to the microorganism growth fluctuation degree, the first direct influence degree and the second direct influence degree.
8. The method for evaluating the fertility of a black soil in combination with a microbial community detection of claim 7, wherein the predicting obtaining of predicted microbial community data over a future time frame based on the microbial community monitoring data comprises: Taking the soil basic physical and chemical property index as constraint, acquiring a sample microbial community monitoring data set based on agricultural big data, and acquiring historical microbial community monitoring data of different sample microbial community monitoring data within a historical time range as sample predicted microbial community data to acquire a sample predicted microbial community data set; The sample microbial community monitoring data set is used as input, the sample predicted microbial community data set is used as supervision, and the long-time and short-time memory network is trained to converge, so that a microbial community prediction plug-in is generated; and inputting the microbial community monitoring data into the microbial community prediction plug-in, and predicting and acquiring predicted microbial community data in a future time range.
9. The method of claim 7, wherein configuring the first weight and the second weight according to the microorganism growth fluctuation degree, the first direct influence degree, and the second direct influence degree comprises: Taking the ratio of the microorganism growth fluctuation degree to a preset microorganism growth fluctuation reference value as a second weight influence coefficient; taking the product of the second weight influence coefficient and a second initial weight as a second weight, wherein the second initial weight is 0.2, and the second weight is more than or equal to 0.1 and less than or equal to 0.4; Subtracting the second weight from 1 to obtain a first weight.
10. A black soil fertility assessment system in combination with a microbial community detection, for performing the black soil fertility assessment method of any one of claims 1-9 in combination with a microbial community detection, comprising: The direct influence evaluation module is used for collecting soil basic physical and chemical property indexes of the black soil in the target area as direct evaluation data, and performing black soil fertility evaluation to output a first fertility evaluation result; The indirect influence evaluation module is used for collecting the microbial community monitoring data of the black soil of the target area in the historical time range as indirect evaluation data, and performing black soil fertility evaluation to output a second fertility evaluation result; the influence weight configuration module is used for respectively carrying out direct influence and indirect influence evaluation according to a preset planting scheme of the target area and configuring a first weight and a second weight according to the influence degree; and the evaluation result output module is used for carrying out weighted fusion on the first fertility evaluation result and the second fertility evaluation result according to the first weight and the second weight and outputting a final black soil fertility evaluation result.

Description

Black soil fertility assessment method and system combined with microbial community detection Technical Field The application relates to the technical field of soil fertility assessment, in particular to a black soil fertility assessment method and system combined with microbial community detection. Background With the increase of population and the continuous rising of grain demands, the black soil fertility status is related to the sustainability and stability of agricultural production. The traditional black soil fertility assessment method focuses on the detection and analysis of the physical and chemical property indexes of the soil foundation, and the soil fertility level is mostly judged by measuring the content of organic matters, the content of nutrient elements such as nitrogen, phosphorus and potassium, the pH value, the cation exchange capacity and other parameters. However, the traditional black soil fertility assessment method only depends on the physical and chemical property indexes of the soil foundation, so that complex characteristics and comprehensive fertility conditions of a black soil ecological system are difficult to comprehensively reflect, integration and application of a soil microbial community are ignored, and the assessment result may not fully and accurately reveal the real condition and long-term evolution rule of the black soil fertility, so that the requirements of modern agriculture on fine management and sustainable utilization of the black soil are difficult to meet. Disclosure of Invention The embodiment of the application solves the technical problem that the evaluation result cannot comprehensively and accurately reflect the complex characteristics of the black soil ecological system and the comprehensive fertility condition because the existing black soil fertility evaluation method only depends on the physical and chemical property indexes of the soil foundation by providing the black soil fertility evaluation method and the system combining with the detection of the microbial community. The technical scheme for solving the technical problems is as follows: in a first aspect, the present application provides a method of evaluating black soil fertility in combination with detection of a microbial community, the method comprising: Collecting soil basic physical and chemical property indexes of black soil in a target area as direct evaluation data, and performing black soil fertility evaluation to output a first fertility evaluation result; Collecting microbial community monitoring data of black soil in a target area in a historical time range as indirect evaluation data, and performing black soil fertility evaluation to output a second fertility evaluation result; direct influence and indirect influence evaluation are respectively carried out according to a preset planting scheme of the target area, and a first weight and a second weight are configured according to the influence degree; And carrying out weighted fusion on the first fertility assessment result and the second fertility assessment result according to the first weight and the second weight, and outputting a final black soil fertility assessment result. In a second aspect, the present application provides a black soil fertility assessment system in combination with a microbial community detection, comprising: The direct influence evaluation module is used for collecting soil basic physical and chemical property indexes of the black soil in the target area as direct evaluation data, and performing black soil fertility evaluation to output a first fertility evaluation result; The indirect influence evaluation module is used for collecting the microbial community monitoring data of the black soil of the target area in the historical time range as indirect evaluation data, and performing black soil fertility evaluation to output a second fertility evaluation result; the influence weight configuration module is used for respectively carrying out direct influence and indirect influence evaluation according to a preset planting scheme of the target area and configuring a first weight and a second weight according to the influence degree; and the evaluation result output module is used for carrying out weighted fusion on the first fertility evaluation result and the second fertility evaluation result according to the first weight and the second weight and outputting a final black soil fertility evaluation result. The application provides one or more technical schemes, which at least have the following technical effects or advantages: according to the embodiment of the application, by providing the black soil fertility assessment method and system combined with microbial community detection, firstly, direct assessment data are collected, and the first fertility assessment result is assessed and output, so that the contribution of the current physicochemical property of the black soil to the fertility can be direct