Method for identifying the influence mechanism of porous material embedding on crop growth

Abstract

The application provides a kind of porous material burying influence mechanism identification method for crop growth, belong to the field of soil management, the application is by designing field control experiment, with porous material burying area, burying depth and burying mode as variable, the environmental factors and crop growth process in field are monitored;Analysis of the influence degree of related environmental factors on crop growth index;Screen out n important environmental factors K1~Kn whose sum of importance is greater than 95%, and respectively establish the mechanism equation of porous material burying mode to important environmental factors;Build and correct crop growth model, and take crop measured yield as standard to calibrate model, and then determine the influence of porous material on soil moisture, temperature and nutrient environmental factors and the final influence on crop growth process under different burying modes through causal analysis method.For improving regional soil improvement and crop growth process, promote the yield and income of crops and sustainable development make exploration.

Description

Technical Field

[0001] This invention belongs to the field of soil management technology, and in particular relates to a method for identifying the mechanism of the influence of porous material burial on crop growth. Background Technology

[0002] Sustainable agricultural development has always been a focal point of attention. Current research primarily focuses on the effects of various soil conditioners (such as biochar and water-retaining agents) on crop growth and development. The role of soil conditioners in plant physiology and biochemistry is generally achieved through a pathway from soil structure to water and fertilizer retention, root absorption, and plant growth. In agricultural applications, porous materials can regulate soil moisture distribution and increase soil water retention capacity, which is beneficial for maintaining water and nutrients in farmland crops. Simultaneously, porous fiber materials, as inorganic mineral materials with abundant pores and a large specific surface area, contain various particles or ions, humic substances, and silicates, which facilitate the formation of soil aggregates and nutrient supply, promoting the absorption of nutrients by crop roots. Under the aforementioned water and fertilizer retention effects, the farmland soil ecosystem undergoes significant changes. For example, porous fiber materials alter the composition and structure of soil microbial communities, as well as key soil processes such as carbon mineralization and nutrient transformation. This enhances the abundance and activity of microorganisms in the root environment and improves root growth function. Simultaneously, a water-fertilizer coupling zone is formed in the crop root zone, causing crop roots to grow towards the water-absorbing material, significantly improving their water and fertilizer absorption capacity. This increases root vitality and even triggers changes in plant physiological characteristics such as enzyme activity and root exudates, supporting photosynthesis and nutrient accumulation in the upper part of the plant, thus improving seedling emergence and transplant survival rates, resulting in significant yield increases. In summary, previous research on the effects of traditional soil conditioners on crop growth has yielded substantial results. While scholars have clearly established the effectiveness of porous fiber materials in promoting crop growth in soilless cultivation, their effects in farmland agricultural production processes require further in-depth investigation. Summary of the Invention

[0003] To address the aforementioned shortcomings in existing technologies, this invention provides a method for identifying the mechanism of the impact of porous material burial on crop growth, exploring ways to improve regional soil conditions and crop growth processes, promote increased crop yields and income, and achieve sustainable development.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] This solution provides a method for identifying the mechanism of the impact of porous material burial on crop growth, including the following steps:

[0006] S1. Collect literature and perform cluster analysis to identify relevant environmental factors affecting crop growth.

[0007] S2. Design and conduct field control experiments, determine the values ​​of relevant variables, and monitor the relevant environmental factors and crop growth indicators;

[0008] S3. Based on the monitoring results, principal component analysis is performed on each crop growth index and environmental factor to determine the degree of influence between each environmental factor and each crop growth index, and n important environmental factors that meet the variance threshold are cumulatively screened.

[0009] S4. Based on the aforementioned important environmental factors, establish parametric equations describing the impact of porous material burial on environmental factors;

[0010] S5. Based on the parametric equations, construct and modify the crop growth model, and use the measured yield results as the standard to calibrate the crop growth model.

[0011] S6. Based on the calibrated crop growth model, output the results describing the soil surrounding environment and crop growth process under different porous materials. Then, determine the impact of porous materials on soil environmental factors and the final impact on crop growth process through causal analysis, and complete the identification of the impact mechanism of porous materials on crop growth.

[0012] The beneficial effects of this invention are as follows: This invention uses cluster analysis and principal component analysis to identify the influencing factors that significantly affect crop growth when porous materials are buried. Through controlled field experiments, it constructs mechanistic equations for the effects of porous material parameters on these important influencing factors. Then, it constructs, modifies, and calibrates relevant modules of a crop growth model. Finally, it uses causal analysis to perform attribution analysis on the model's output results, thus completing a method for identifying the mechanism of the influence of porous material burial on crop growth. This invention explores ways to improve regional soil conditions and crop growth processes, promote increased crop yields and income, and achieve sustainable development.

[0013] Further, step S1 includes the following steps:

[0014] S101. Search and download relevant documents;

[0015] S102. In the downloaded documents, keywords with a frequency of not less than 30 times are used as a threshold for coupled cluster analysis, and then visualized.

[0016] S103. After visualization processing, the keywords are represented by different colors to indicate the correlation between the clustered keywords, and relevant environmental factors affecting crop growth are screened.

[0017] The beneficial effects of the above-mentioned further scheme are: by identifying relevant indicators that may change during the deployment of similar materials and have an important impact on crop growth through existing literature, it provides a theoretical basis for the design of subsequent experiments and the monitoring of relevant indicators.

[0018] Furthermore, step S2 includes the following steps:

[0019] S201. Design a field control experiment with the following design variables: porous material coverage area, embedding height, and burial direction.

[0020] S202. Observe the relevant environmental factors and crop growth indicators.

[0021] The beneficial effects of the above-mentioned further scheme are: to determine the relevant variables and values ​​of porous material layout in combination with actual use, and to determine the observation indicators in the experimental process in combination with the relevant environmental factors determined in step S1.

[0022] Furthermore, step S3 includes the following steps:

[0023] S301. Based on the monitoring results, principal component analysis was used to analyze several crop growth indicators and environmental factors, and the KMO sampling suitability test and the Bartley method were used to test their applicability.

[0024] S302. Based on the analysis and test results, select the top k principal components with a cumulative variance greater than 95% for each crop growth index, and set the variance contribution rate of the j-th environmental factor in the i-th crop growth index as K. ij For each environmental factor, the average variance contribution rate is taken and sorted, and the top r K values ​​are selected. ij The cumulative variance contribution rate is greater than 95%, which is identified as one of the n important influencing factors affecting crop growth under porous material burial.

[0025] The beneficial effects of the above-mentioned further scheme are: by combining experimental results and principal component analysis, from the identified m influencing factors that may have a significant impact on crop growth, r environmental factors that actually have a significant impact are screened out, clarifying the intermediate variables of porous materials affecting crop growth, and providing support for the subsequent construction of mechanism equations.

[0026] Furthermore, the expression for the parametric equation in step S4 is as follows:

[0027] R n =F n (X,Y,Z)

[0028] Where X, Y, and Z represent the coverage area, height, and direction of the porous material burial, respectively, and R n F represents the environmental parameter factor. n (·) represents the parametric equation between the porous material burial scheme and farmland environmental factors.

[0029] The beneficial effect of the above-mentioned further scheme is that, by combining the experimental results of step S2 and the important influencing factors determined in step S3, parameterized mechanism equations for n porous materials and important influencing factors are established respectively, providing support for the subsequent model correction.

[0030] Furthermore, step S5 includes the following steps:

[0031] S501. Based on the parametric equations, construct and revise the mechanistic equations of the crop growth model;

[0032] S502. Based on the modified crop growth model, calibrate the crop growth model parameters using crop yield and biomass as standards, and use R... 2 The constraints are NSE, RE, and normalization index.

[0033] The beneficial effect of the above-mentioned further scheme is that it combines the constructed mechanistic equations to correct and calibrate the crop growth model, providing a data source for the subsequent description of crop growth processes and result analysis.

[0034] Furthermore, step S6 includes the following steps:

[0035] S601. Based on the calibrated crop growth model, output the changes in crop growth process, related environmental factors, physiological and biochemical processes, and key crop growth indicators.

[0036] S602. Determine the impact of porous materials on soil environmental factors and ultimately on crop growth through causal analysis, and complete the identification of the mechanism of influence of porous materials on crop growth.

[0037] The beneficial effects of the above-mentioned further scheme are: by constructing a mechanism equation, the output can describe the data of the entire crop growth process, and by using causal analysis to perform attribution analysis and summary, a method for identifying the mechanism of the influence of porous materials on crop growth can be completed. Attached Figure Description

[0038] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0039] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0040] Example

[0041] like Figure 1 As shown, this invention provides a method for identifying the mechanism of the impact of porous material burial on crop growth, the implementation method of which is as follows:

[0042] S1. Collect literature and perform cluster analysis to identify relevant environmental factors affecting crop growth. The method is as follows:

[0043] S101. Search and download relevant documents;

[0044] S102. In the downloaded documents, keywords with a frequency of not less than 30 times are used as a threshold for coupled cluster analysis, and then visualized.

[0045] S103. After visualization processing, the keywords are represented by different colors to indicate the correlation between the clustered keywords, and relevant environmental factors affecting crop growth are screened.

[0046] In this embodiment, relevant literature was searched and downloaded using literature search platforms such as CNKI, Wanfang, WOS, and Elsevier, with a time limit of 1900 to 2020, and keywords such as "straw, biochar, soil management," and crop growth. Based on the relevant literature searched in step S101, and using a frequency of at least 30 occurrences as a threshold, VOSviewer was used to perform coupled cluster analysis on each keyword, and the results were visualized. Based on the visualized keywords, different colors were used to represent the correlation between the automatically clustered keywords, and m key factors that may have an impact on crop growth and development were selected.

[0047] S2. Design and conduct a field control experiment to determine the values ​​of relevant variables and monitor the relevant environmental factors and crop growth indicators. The implementation method is as follows:

[0048] S201. Design a field control experiment with the following design variables: porous material coverage area, embedding height, and burial direction.

[0049] S202. Observe the relevant environmental factors and crop growth indicators.

[0050] In this embodiment, a field control experiment was designed, with the design variables being the porous material coverage area (X), embedding height (Y), and placement direction (Z). Specific values ​​are as follows: the porous fiber material coverage areas were 0 (X1), 0.05S (X2), 0.1S (X3), 0.2S (X4), and 0.3S (X5), where S is the area of ​​the experimental plot; the embedding heights were 0 (Y1), 0.1H (Y2), 0.2H (Y3), and 0.3H (Y4), where H is the effective soil depth; and the placement directions were the long side of the porous material perpendicular to the slope aspect (Z1) and horizontal to the slope aspect (Z2). A control experiment was conducted, and observations were performed based on m selected key factors. Simultaneously, n environmental factors En (temperature, soil moisture, radiation, air pressure, precipitation, etc.) and n crop growth indicators Pn (including leaf area, plant density, plant height, crop biomass, and yield composition, etc.) were observed at regular intervals.

[0051] S3. Based on the monitoring results, principal component analysis is performed on each crop growth index and environmental factor to determine the degree of influence between each environmental factor and each crop growth index. The n most important environmental factors that meet the variance threshold are then cumulatively screened. The implementation method is as follows:

[0052] S301. Based on the monitoring results, principal component analysis was used to analyze several crop growth indicators and environmental factors, and the KMO sampling suitability test and the Bartley method were used to test their applicability.

[0053] S302. Based on the analysis and test results, select the top k principal components with a cumulative variance greater than 95% for each crop growth index, and set the variance contribution rate of the j-th environmental factor in the i-th crop growth index as K. ij For each environmental factor, the average variance contribution rate is taken and sorted, and the top r K values ​​are selected. ij The cumulative variance contribution rate is greater than 95%, which is identified as one of the n important influencing factors affecting crop growth under porous material burial.

[0054] In this embodiment, based on experimental observation results, principal component analysis was performed on n crop growth indicators using SPSS, and the KMO sampling goodness test and the Balitley method were used for applicability testing. The top k principal components with a cumulative variance contribution rate exceeding 95% for each crop growth indicator were selected, and the variance contribution rate of the j-th environmental factor in the i-th crop growth indicator was set as K. ij For each environmental factor, the average variance contribution rate is taken and sorted, and the top r K values ​​are selected. j The cumulative variance contribution rate was greater than 95%, which was identified as an important influencing factor affecting crop growth under porous material layout.

[0055] S4. Based on the aforementioned important environmental factors, establish parametric equations describing the impact of porous material burial on environmental factors;

[0056] In this embodiment, based on the identified key influencing factors, a parametric equation is established between the porous material parameters and n key influencing factors to preliminarily describe the impact of porous fibers on farmland environmental factors. The equation is shown below:

[0057] R n =F n (X,Y,Z)

[0058] Where X, Y, and Z represent the coverage area, height, and direction of the porous material burial, respectively, and R n F represents the environmental parameter factor. n (·) represents the parametric equation between the porous material burial scheme and farmland environmental factors.

[0059] S5. Based on the parametric equations, construct and modify the crop growth model, and calibrate the crop growth model using the measured yield results as the standard. The implementation method is as follows:

[0060] S501. Based on the parametric equations, construct and revise the mechanistic equations of the crop growth model;

[0061] S502. Based on the modified crop growth model, calibrate the crop growth model parameters using crop yield and biomass as standards, and use R... 2 The constraints are NSE, RE, and normalization index.

[0062] In this embodiment, based on the parametric equations determining the environmental impact factors of porous materials, the mechanistic equations of the hydrothermal and salinity modules of the CERES crop growth model are constructed and modified. Based on the modified model, the model parameters are calibrated using crop yield and biomass as standards, and R0 is used as the standard. 2 NSE, RE, and normalization exponent are constraints.

[0063] S6. Based on the calibrated crop growth model, output results describing the soil surrounding environment and crop growth process under different porous materials. Then, use causal analysis to determine the impact of porous materials on soil environmental factors and ultimately on crop growth, thus completing the identification of the mechanism by which porous materials affect crop growth. The implementation method is as follows:

[0064] S601. Based on the calibrated crop growth model, output the changes in crop growth process, related environmental factors, physiological and biochemical processes, and key crop growth indicators.

[0065] S602. Determine the impact of porous materials on soil environmental factors and ultimately on crop growth through causal analysis, and complete the identification of the mechanism of the impact of porous materials on crop growth.

[0066] In this embodiment, the established crop growth model outputs the changes in relevant environmental factors (soil structure, soil moisture, soil temperature, soil nutrients, and microbial community structure, etc.), physiological and biochemical processes (photosynthesis and respiration), and key crop growth indicators (leaf area, plant height, biomass, and yield composition, etc.) during the crop growth process. Causal analysis is used to determine the impact of porous materials on soil environmental factors and ultimately on the crop growth process, thus completing the method for identifying the mechanism of porous materials' influence on crop growth.

Claims

1. A method for identifying the mechanism of the influence of porous material burial on crop growth, characterized in that, Includes the following steps: S1. Collect literature and perform cluster analysis to identify relevant environmental factors affecting crop growth. S2. Design and conduct field control experiments, determine the values ​​of relevant variables, and monitor the relevant environmental factors and crop growth indicators; Step S2 includes the following steps: S201. Design a field control experiment with the following design variables: porous material coverage area, embedding height, and burial direction. S202. Observe the relevant environmental factors and crop growth indicators; S3. Based on the monitoring results, principal component analysis is performed on each crop growth index and environmental factor to determine the degree of influence between each environmental factor and each crop growth index, and n important environmental factors that meet the variance threshold are cumulatively screened. Step S3 includes the following steps: S301. Based on the monitoring results, principal component analysis was used to analyze several crop growth indicators and environmental factors, and the KMO sampling suitability test and the Bartley method were used to test their applicability. S302. Based on the analysis and test results, select the top performers for each crop growth index whose cumulative variance is greater than 95%. k The principal component will be the first principal component. j The environmental factor in the first i The variance contribution rate of each crop growth index is set as follows: K ij The mean of the average variance contribution rate of each environmental factor is taken and ranked, and the top values ​​are selected. r indivual K ij The cumulative variance contribution rate is greater than 95%, and it is identified as one of the n important influencing factors affecting crop growth under porous material burial. S4. Based on the aforementioned important environmental factors, establish parametric equations describing the impact of porous material burial on environmental factors; The expression for the parametric equation in step S4 is as follows: in, These represent the coverage area, height, and direction of the porous material burial, respectively. Indicates environmental parameter factors, Parametric equations relating porous material installation schemes to farmland environmental factors; S5. Based on the parametric equations, construct and modify the crop growth model, and use the measured yield results as the standard to calibrate the crop growth model. S6. Based on the calibrated crop growth model, output the results describing the surrounding soil environment and crop growth process under different porous materials. Then, determine the impact of porous materials on soil environmental factors and the final impact on crop growth process through causal analysis, and complete the identification of the mechanism of the influence of porous materials on crop growth.

2. The method for identifying the mechanism of the influence of porous material burial on crop growth according to claim 1, characterized in that, Step S1 includes the following steps: S101. Search and download relevant documents; S102. In the downloaded documents, keywords with a frequency of not less than 30 times are used as a threshold for coupled cluster analysis, and then visualized. S103. After visualization processing, the keywords are represented by different colors to indicate the correlation between the clustered keywords, and relevant environmental factors affecting crop growth are screened.

3. The method for identifying the mechanism of the influence of porous material burial on crop growth according to claim 1, characterized in that, Step S5 includes the following steps: S501. Based on the parametric equations, construct and revise the mechanistic equations of the crop growth model; S502. Based on the modified crop growth model, calibrate the crop growth model parameters using crop yield and biomass as standards, and use R... 2 The constraints are NSE, RE, and normalization index.

4. The method for identifying the mechanism of the influence of porous material burial on crop growth according to claim 3, characterized in that, Step S6 includes the following steps: S601. Based on the calibrated crop growth model, output the changes in crop growth process, related environmental factors, physiological and biochemical processes, and key crop growth indicators. S602. Determine the impact of porous materials on soil environmental factors and ultimately on crop growth through causal analysis, and complete the identification of the mechanism of the impact of porous materials on crop growth.

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