Intelligent management system for low-fluorine tea tree germplasm recognition and breeding regulation

Abstract

The invention discloses an intelligent management system for low-fluorine tea germplasm identification and breeding regulation and control, which relates to the field of intelligent breeding management and comprises a planting unit adjustment module, a data processing module, a data analysis module and a breeding management module. According to the method, a whole-process closed-loop management mechanism from parent data evaluation, planting environment adjustment to sensitivity screening and elimination is constructed, the fluorine accumulation value is calculated in combination with flux conservation, the scientificity and credibility of fluorine load evaluation are improved, breeding direction selection is assisted, the purity of breeding achievements is guaranteed, quantitative recognition and dynamic tracking of low-fluorine characteristics are achieved, and the method is suitable for popularization and application. A plurality of key regulation and control parameter mapping mechanisms are embedded, intelligent decision making and dynamic environment adaptation are supported, the manual intervention cost is reduced, and the efficiency and accuracy of low-fluorine breeding are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent breeding management, and specifically to an intelligent management system for low-fluoride tea germplasm identification and breeding regulation. Background Art

[0002] Fluorine, a common element in soil and water, significantly impacts the growth, development, and quality of tea plants. Excessive fluorine levels in the environment can lead to excessive accumulation in tea plants, which can lead to reduced tea quality and yield, and even cause physiological stress and growth disorders, seriously impacting the sustainable development of the tea industry.

[0003] At present, a mature intelligent identification and environmental control technology system has not been formed in the field of low-fluoride accumulation breeding of tea trees at home and abroad. In order to improve the screening efficiency and breeding accuracy of low-fluoride tea tree germplasm, realize scientific management and precise control of the breeding process, and ensure the stable improvement of tea quality and yield, an intelligent control management system is needed.

[0004] Existing technologies, such as the invention patent with announcement number CN114418787B, are a method and device for generating a sowing plan for crop breeding materials. The method includes: in any harvest window in the current breeding season, obtaining the identification information and the number of harvested plants of the harvested materials obtained in any harvest window; updating the seed loading and marking record information table according to the identification information and the number of harvested plants of the harvested materials; based on the updated seed loading and marking record information table, generating a sowing plan for crop breeding materials for the intended sowing plot in any harvest window; wherein, there is a corresponding relationship between the seed loading and marking record information table, any harvest window and the intended sowing plot.

[0005] The prior art, such as the invention patent with announcement number: CN103793850B, is a method and system for screening crop breeding materials, which includes: step S1, clustering multiple candidate traits related to crop breeding materials; step S2, selecting at least one trait parameter from each category of candidate traits obtained according to clustering and using it as an evaluation indicator for breeding materials; step S3, determining the weight value corresponding to each evaluation indicator selected in step S2; step S4, calculating the corresponding indicator value of each breeding material according to the weight value obtained in step S3 to obtain a comprehensive score for each breeding material; step S5, screening crop breeding materials according to the comprehensive score obtained in step S4.

[0006] Based on the above scheme, it can be seen that traditional germplasm screening and breeding work mainly relies on simple information collection and clustering, which makes it difficult to accurately identify and dynamically control the required characteristics, and there are problems such as difficulty in ensuring environmental adaptability. In addition, the complex spatiotemporal dynamics of the planting environment make adaptability assessment and breeding control difficult. Summary of the Invention

[0007] In view of the shortcomings of the existing technology, the present invention provides an intelligent management system for low-fluoride tea germplasm identification and breeding regulation. To achieve the above purpose, the present invention is implemented through the following technical solutions: The intelligent management system for low-fluoride tea germplasm identification and breeding regulation includes:

[0008] The planting unit adjustment module is used to obtain multi-source data of the parents of each tea tree germplasm, perform initial low-fluorine characteristic scoring on each tea tree germplasm material, and adjust the environmental fluorine content characteristic value of the planting unit of each tea tree germplasm based on the initial low-fluorine characteristic score, wherein the environmental fluorine content characteristic value is used to quantitatively characterize the environmental fluorine content of the planting unit.

[0009] The data processing module is used to obtain the fluorine accumulation value of each tea germplasm planting unit per unit time to form a fluorine accumulation time series, and at the same time obtain the ideal fluorine accumulation value of each tea germplasm planting unit per unit time to form an ideal fluorine accumulation time series.

[0010] The data analysis module is used to compare the fluorine accumulation time series of each planting unit with the ideal fluorine accumulation time series in chronological order, to obtain the environmental adaptation deviation value of each tea germplasm, and to make corresponding breeding adjustments based on the direction and amplitude of the environmental adaptation deviation value.

[0011] The breeding management module is used to perform single-source fluorine accumulation detection on the tea tree germplasm based on the amplitude of the environmental adaptation deviation value of the tea tree germplasm when the direction of the environmental adaptation deviation value of the tea tree germplasm is negative, wherein the single-source fluorine accumulation detection is used to specifically analyze the fluorine absorption response characteristics of the tea tree germplasm; when the direction of the environmental adaptation deviation value of the tea tree germplasm is positive, the sensitivity identification of the tea tree germplasm is performed based on the amplitude of the environmental adaptation deviation value of the tea tree germplasm, wherein the sensitivity identification is used to evaluate the recovery effect of the tea tree germplasm to environmental regulation.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0013] (1) The present invention provides an intelligent management system for low-fluorine tea germplasm identification and breeding regulation. By constructing a multi-dimensional, multi-stage data-driven process, it can achieve closed-loop management of the entire process from germplasm characteristic identification, planting environment adjustment to variety screening and isolation and elimination, and realize the quantification and dynamic tracking of low-fluorine characteristics. In the initial stage, each germplasm is preliminarily evaluated through multi-source data of parents to achieve quantitative assessment of germplasm environmental adaptability, greatly improving the accuracy and scientificity of fluorine accumulation behavior identification, especially under the influence of large-scale planting experiments and complex environmental variables, it can enhance the objectivity and stability of low-fluorine breeding work.

[0014] (2) The present invention proposes a targeted regulatory mechanism to clearly distinguish between globally adaptive and path-sensitive germplasm, providing targeted selection logic for subsequent variety improvement and hybridization design, avoiding the inheritance of fluorine load risks to the next generation. At the same time, through multiple rounds of re-evaluation after adjustment of environmental fluorine content, fluorine-sensitive germplasm can be accurately identified and promptly eliminated from the expansion process, which not only protects the purity of low-fluorine breeding results, but also lays the foundation for the subsequent construction of an intelligent germplasm bank.

[0015] (3) The present invention introduces flux conservation calculation, and by treating the difference between the total input and total output of fluorine in the environment as the accumulation amount, it ensures that the changes in fluorine in the system at any time can be reasonably traced. This calculation method can effectively avoid false fluorine accumulation estimates when data collection is incomplete or there are differences in the responses of each channel, thereby improving the accuracy and credibility of fluorine monitoring. Fluorine input from multiple sources can be accurately matched with fluorine output from different loss paths. In addition, the influencing factors such as irrigation methods, fertilization methods, and growth stages in the management behavior data stream are integrated into the response model of the fluorine transfer path, so that the fluorine accumulation value not only reflects the current environmental fluorine load, but also reflects the joint effect of management behavior and plant physiological characteristics. This mechanism helps to dynamically adjust management strategies during breeding regulation and evaluate their impact on fluorine accumulation in real time, thereby more scientifically optimizing planting management and breeding selection.

[0016] Of course, any product implementing the present invention does not necessarily need to achieve all of the above advantages at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of the system module of the present invention.

[0018] Figure 2 It is a logical flow diagram of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0021] See also Figure 1 and Figure 2 As shown, the embodiment of the present invention provides an intelligent management system for low-fluoride tea germplasm identification and breeding regulation, specifically including:

[0022] The planting unit adjustment module is used to obtain multi-source data of the parents of each tea tree germplasm, perform initial low-fluorine characteristic scoring on each tea tree germplasm material, and adjust the environmental fluorine content characteristic value of the planting unit of each tea tree germplasm based on the initial low-fluorine characteristic score, wherein the environmental fluorine content characteristic value is used to quantitatively characterize the environmental fluorine content of the planting unit.

[0023] Obtain multi-source data on the parents of each tea germplasm and perform initial low-fluorine characteristic scoring on each tea germplasm material. The specific process is as follows:

[0024] The multi-source data of the parents of each tea tree accession include the measured value of the average fluorine content of the parent leaves under a standard suitable environment, the root-stem-leaf fluorine distribution transfer ratio of the parent, and the average leaf color value of the parent.

[0025] It should be noted that the measured average fluoride content in parent leaves refers to the average fluoride content measured in leaf samples of the parent plants of the tea germplasm under standard suitable environmental conditions, and the unit is mg / kg. This is obtained by collecting samples from different parts of the parent tea plant (young leaves, middle leaves, and old leaves) in a standard environment without fluorine stress. The samples are tested using an ion-selective electrode method. After sampling in multiple batches and multiple areas, the average value is calculated and used as a characterization indicator of stable fluoride accumulation capacity.

[0026] The parent plant's root-stem-leaf fluorine distribution and transport ratio reflects the transport and distribution characteristics of fluorine within the tea plant. Specifically, it is the ratio of the sum of the root and stem fluorine contents to the leaf fluorine content. A smaller ratio indicates a stronger root barrier or upward transport inhibition capability, indicating potential resistance to fluorine accumulation. This information was obtained by sampling the entire plant in a standard environment, separating the roots, stems, and leaves, and measuring the fluorine content in each part to calculate the distribution ratio.

[0027] The average leaf color value of the parent represents the average color characteristics of the parent tea tree leaves. The image RGB value is usually used to represent the leaf color and is used to identify the discoloration caused by fluorine stress. The acquisition method is to collect parent leaf images under a standard light source, use image processing algorithms (such as OpenCV) to extract the average color value of the color area, and calculate the overall color mean of the parent tea tree leaves after sampling multiple leaves.

[0028] The multi-source parental data of each tea germplasm were processed across parents to obtain the multi-source parental mean data, including the measured mean of the average leaf fluorine content of the parents, the mean of the root-stem-leaf fluorine distribution transfer ratio of the parents, and the mean of the average leaf color value of the parents.

[0029] It should also be noted that the parental multi-source mean data refers to the statistical average among all parental data samples, which is used to reflect the basic properties of low-fluorine accumulation at the germline level and provide a standardized evaluation basis for subsequent initial low-fluorine characteristic scoring.

[0030] The parental multi-source mean data was used as the standard value for the initial low-fluorine characteristic score. The parental multi-source data of each tea germplasm was compared with the parental multi-source mean data and then weighted coupling processing was performed to obtain the initial low-fluorine characteristic score of each tea germplasm. The specific process includes:

[0031]

[0032] Among them, CSF i is the initial low-fluorine characteristic score of the i-th tea germplasm, is the measured value of the average fluorine content in the leaves of the parent of the i-th tea germplasm, ZYB i is the root-stem-leaf fluorine distribution transfer ratio of the parent of the i-th tea germplasm, is the average leaf color value of the parents of the i-th tea germplasm, is the measured mean value of fluorine content in the leaves of the parents, is the mean of the fluorine distribution and transport ratio of the parent roots, stems and leaves, is the average leaf color value of the parents, α1 is the weighting factor of the measured value of the average fluorine content in the parents' leaves, α2 is the weighting factor of the root-stem-leaf fluorine distribution transfer ratio of the parents, α3 is the weighting factor of the average leaf color value of the parents, i is the tea germplasm number, i = 1, 2, 3, ..., n, and n is the total number of tea germplasm.

[0033] It should be noted that the weighting factor of the measured value of the average fluorine content in the parent leaves, the weighting factor of the fluorine distribution transport ratio of the parent roots, stems and leaves, and the weighting factor of the average leaf color value of the parent, each weighting factor is used to adjust the importance of different indicators in the multi-source data of the parent. By assigning different weight coefficients, the proportion of each indicator in the initial low-fluorine feature score calculation is controlled to achieve the fusion and differential expression of multi-source heterogeneous data. Among them, the weighting factor of the measured value of the average fluorine content in the parent leaves represents the weight of the leaf fluorine content in the low-fluorine feature score, the weighting factor of the fluorine distribution transport ratio of the parent roots, stems and leaves represents the weight of the fluorine distribution pattern in the tea tree in the score, and the weighting factor of the average leaf color value of the parent represents the weight of the leaf color feature in the score. In an embodiment of the present invention, the weighting factor supports adaptive optimization and is dynamically adjusted according to historical verification data to improve the fitting accuracy of the score.

[0034] It should also be noted that the multi-source data for each tea accession include the measured average fluoride content in parent leaves under standard suitable conditions, the root-stem-leaf fluoride distribution transport ratio, and the average leaf color value. These parameters are correlated. Generally, a higher leaf fluoride content indicates a greater root-stem-leaf fluoride transport ratio. A high transport ratio indicates that more fluoride is transferred from the roots and stems to the leaves, resulting in an increase in leaf fluoride content. If the root barrier effect is strong or the transport inhibition mechanism is effective, the leaf fluoride content will be relatively low. The two show a positive correlation, and a joint analysis can help determine whether the low fluoride accumulation ability of the accession is due to the transport inhibition mechanism. In some parents, increased leaf fluoride content may be accompanied by deviations from normal color (such as decreased chlorophyll, yellowing, and the appearance of color spots), resulting in changes in RGB color values. Excessive fluoride accumulation can cause impaired photosynthetic pigment synthesis or cellular metabolism, manifesting as changes in leaf color, especially in young leaves. Color change can serve as a non-invasive early warning indicator to assist in determining whether a parent has mild fluoride toxicity. A higher transport ratio (i.e., more fluorine transported to leaves) may lead to greater color fluctuations, especially in the direction of leaf green or yellowing. The interactive relationship between these parameters can help systematically identify the low-fluorine accumulation mechanism and potential fluorine tolerance of germplasm, improving the accuracy and explanatory power of initial low-fluorine trait scores.

[0035] The initial low-fluorine characteristic score is expressed as a quantitative initial indicator of low-fluorine accumulation of each tea germplasm in the overall parental population under a standard suitable environment, and is used as the basis for allocating planting units to each tea germplasm.

[0036] Based on the initial low fluoride characteristic score, the environmental fluoride content characteristic value of each tea germplasm planting unit is adjusted. The specific process is as follows:

[0037] Based on the initial low-fluorine characteristic score of each tea tree germplasm, the mapping set of the corresponding initial low-fluorine characteristic score-tolerable environmental fluorine content characteristic value in the database is put into the mapping matching to obtain the corresponding tolerable environmental fluorine content characteristic value of each tea tree germplasm.

[0038] It should be noted that in the embodiment of the present invention, the database is a structured database, which is used to store the pre-set data, mapping sets, ideal reference fluorine accumulation models and log records involved in the embodiment of the present invention, and supports the data flow of the intelligent management system for low-fluorine tea germplasm identification and breeding regulation in the embodiment of the present invention.

[0039] Based on the tolerable environmental fluorine content characteristic values ​​of each tea tree germplasm, the mapping set of tolerable environmental fluorine content characteristic values-environmental fluorine content control parameters preset in the database is input to obtain the environmental fluorine content control parameters of the planting units of each tea tree germplasm, including the fluorine content value of irrigation water, the fluorine content value of fertilizer and the pH value of soil. Based on the environmental fluorine content control parameters, the environmental fluorine content characteristic values ​​of the planting units are regulated to the tolerable environmental fluorine content characteristic values ​​of the corresponding tea tree germplasm.

[0040] It should be noted that, in the embodiment of the present invention, the initial state of each planting unit is a standard suitable environment, that is, a fluorine-free stress environment.

[0041] For example, the initial low-fluorine characteristic score of a tea germplasm is 0.65, and the matched tolerable environmental fluorine content characteristic value is 3. The tolerable environmental fluorine content characteristic value of the tea germplasm is put into the mapping set of environmental fluorine content characteristic value-environmental fluorine content control parameters. The mapping and matching obtains the environmental fluorine content control parameters of the planting unit corresponding to the tea germplasm, including the irrigation water fluorine content value of 1.2 mg / L, the fertilizer fluorine content value of 0.6 mg / kg, and the soil pH value of 5.8.

[0042] The characteristic value of environmental fluorine content is used to quantify the comprehensive numerical indicator representing the exposure level of fluorine element in the planting unit.

[0043] The output allocation instruction allocates each tea germplasm to a planting unit corresponding to the characteristic value of the environmental fluorine content to perform the planting task.

[0044] The data processing module is used to obtain the fluorine accumulation value of each tea germplasm planting unit per unit time to form a fluorine accumulation time series, and at the same time obtain the ideal fluorine accumulation value of each tea germplasm planting unit per unit time to form an ideal fluorine accumulation time series.

[0045] The fluorine accumulation value of each tea germplasm planting unit per unit time is obtained to form a fluorine accumulation time series, which specifically includes:

[0046] Obtain the fluorine input data stream, fluorine output data stream and management behavior data stream of the planting unit of each tea germplasm.

[0047] The fluorine input data stream includes the soil fluorine content of the planting unit, the fluorine content of the irrigation water body and the fluorine content of the fertilizer.

[0048] Among them, the soil fluoride content of the planting unit is obtained by sensor sampling, the fluoride content of the irrigation water is collected by flow meter, and the fluoride content of fertilizer is obtained by extracting the content recorded in the fertilization log.

[0049] The fluorine output data stream includes the fluorine content carried by evapotranspiration of water in the planting unit and the fluorine content lost by non-plants.

[0050] The fluorine content carried by water evaporation refers to the molecular weight of fluorine lost to the atmosphere during the evaporation process of leaves. The acquisition method includes: using the existing crop evaporation remote sensing model to obtain the evaporation amount per unit time, and at the same time citing the average content parameter of volatile fluorine in the evaporating liquid, and combining the analysis to obtain the fluorine content carried by water evaporation.

[0051] The non-vegetative fluorine content refers to the fluorine content lost through non-vegetative pathways such as underground infiltration. The method of obtaining the information includes laying fluorine monitoring probes underground to obtain the amount of lost fluorine.

[0052] The management behavior data stream includes irrigation method influencing factors, fertilization method influencing factors and growth stage influencing factors.

[0053] It should be noted that the irrigation method impact factor refers to the weighted effect of different irrigation methods (such as drip irrigation, sprinkler irrigation, and flood irrigation) on the fluoride absorption capacity of tea plants per unit time. This factor characterizes the differences in the bioavailability of fluoride in water due to changes in irrigation methods. The irrigation method for a particular planting unit during that unit time is obtained from the irrigation log and the corresponding irrigation method impact factor is extracted from the database.

[0054] The fertilization method influencing factor refers to the absorption efficiency correction parameter generated by the availability of fluorine in the fertilizer for tea plants under different fertilization methods (such as basal application, topdressing, and foliar spraying). This parameter is obtained by obtaining the fertilization method of the planting unit in that unit time from the fertilization log and extracting the fertilization method influencing factor corresponding to that fertilization method from the database.

[0055] The growth stage influencing factor (GIF) refers to the effect of different tea plant growth stages (e.g., budding, leaf expansion, growth, leaf formation, leaf holding, and color change) on fluorine absorption. It is used to characterize the tea plant's sensitivity to fluorine absorption at different physiological stages. This factor is obtained by using an existing growth stage influencing model to determine the growth stage of the planting unit within a given unit of time and extracting the corresponding GIF from the database.

[0056] Based on the fluorine input data stream, fluorine output data stream, and management behavior data stream of the planting unit of each tea germplasm, the fluorine accumulation value per unit time in the unit is calculated through flux conservation. The fluorine accumulation value of each tea germplasm planting unit per unit time is obtained, the number of each unit time is extracted, and each unit time is arranged according to the number to form a fluorine accumulation time series. The specific calculation process includes:

[0057]

[0058] Among them, FJL i,tFTI is the fluorine accumulation value of the planting unit of the i-th tea germplasm in the t-th unit time. i,t FSI is the soil fluorine content of the planting unit of the i-th tea germplasm in the t-th unit time, i,t FFI is the fluorine content of the irrigation water of the i-th tea germplasm planting unit in the t-th unit time, i,t is the fluorine content of fertilizer applied to the planting unit of the i-th tea germplasm in the t-th unit time, FZO i,t is the fluorine content carried by the evaporation of water in the planting unit of the i-th tea germplasm in the t-th unit time, FLO i,t is the non-vegetative fluorine loss content of the i-th tea germplasm planting unit in the t-th unit time, β 1i,t is the influencing factor of the irrigation mode of the planting unit of the i-th tea germplasm in the t-th unit time, β 2i,t is the influencing factor of the fertilization method of the planting unit of the i-th tea germplasm in the t-th unit time, β 3i,t is the growth stage influencing factor of the planting unit of the i-th tea germplasm in the t-th unit time, i is the tea germplasm number, i = 1, 2, 3, ..., n, n is the total number of tea germplasm, t is the unit time number, t = 1, 2, 3, ..., T, T is the total number of unit time.

[0059] The ideal fluorine accumulation value per unit time of each tea germplasm planting unit is obtained to form an ideal fluorine accumulation time series, specifically including:

[0060] The environmental state variables of each planting unit within unit time are extracted, including: planting unit climate variables, soil state variables and tea tree state variables.

[0061] It should be noted that the climate variables for each planting unit include the average temperature, average humidity, and average light intensity within each unit per unit time. Average temperature affects the chemical activity of fluorine and the metabolic rate of the plant; average humidity affects the degree of stomatal opening and evaporation; and average light intensity affects photosynthesis and physiological activity. These variables can be obtained through access to a regional microclimate monitoring platform.

[0062] Soil state variables include soil pH, soil organic matter content, and soil moisture. Soil pH determines the solubility and activity of fluoride ions, soil organic matter content affects fluoride adsorption and complexation capacity, and soil moisture affects the migration efficiency of fluoride ions in the rhizosphere. These variables are obtained using soil sensors.

[0063] The tea tree status variables include NDVI values, where the NDVI value is the normalized vegetation index, reflecting the greenness and growth status, and is obtained through remote sensing technology in existing technologies.

[0064] At the same time, the ideal reference fluorine accumulation model in the historical database is referenced. In an embodiment of the present invention, the ideal reference fluorine accumulation model used is an attention mechanism neural network model. The characteristic values ​​of the environmental fluorine content of each planting unit are input into the ideal reference fluorine accumulation model. Based on the environmental state variables of each planting unit in unit time, the characteristic vector of the unit time is constructed, and the ideal reference fluorine accumulation model generates the corresponding ideal fluorine accumulation value. The process is repeated for multiple unit times, the number of each unit time is extracted, and the unit time is arranged according to the number to form an ideal fluorine accumulation time series.

[0065] It should be noted that the training process of the ideal reference fluorine accumulation model involved in the embodiments of the present invention is as follows:

[0066] Historical planting unit samples are obtained and their fluoride accumulation monitoring records are extracted. These samples include environmental state variables and characteristic values ​​of environmental fluoride content. These samples are digitized using a numerical mapping method, normalized, and encoded into numerical vectors to represent the environmental characteristic vectors within each unit time of the historical planting unit samples. After receiving the environmental characteristic vectors, the model introduces a multi-head attention mechanism to output weighted feature representations, performs nonlinear mapping, learns the relationship between environmental characteristics and fluoride accumulation values, and outputs the predicted ideal fluoride accumulation value for that unit time. The mean squared error is used as the loss function to measure the deviation between the predicted fluoride accumulation value and the historical measured value. The Adam optimizer is used with a dynamic learning rate adjustment strategy to ensure stable convergence. Multiple rounds of iterative training are performed on the historical planting unit data. After training is completed, it is deployed.

[0067] The ideal fluorine accumulation value represents the theoretical fluorine loading level that a well-adapted germplasm should achieve within the planting unit. The ideal fluorine accumulation value is not a maximum or minimum value, but rather a target performance indicator based on good adaptation. It exists to identify deviations, determine adaptability, and serve as a dynamic baseline value in regulatory systems.

[0068] The data analysis module is used to compare the fluorine accumulation time series of each planting unit with the ideal fluorine accumulation time series in chronological order, to obtain the environmental adaptation deviation value of each tea germplasm, and to make corresponding breeding adjustments based on the direction and amplitude of the environmental adaptation deviation value.

[0069] The fluorine accumulation time series of each planting unit was compared with the ideal fluorine accumulation time series in time sequence to obtain the environmental adaptation deviation value of each tea germplasm, including:

[0070] The fluorine accumulation time series of each planting unit and the ideal fluorine accumulation time series were numbered according to the unit time. The fluorine accumulation value of each unit time of each planting unit was subtracted from the corresponding ideal fluorine accumulation value and the mean was processed to obtain the environmental adaptation deviation value of each tea germplasm.

[0071] The environmental adaptation deviation value is used to characterize the environmental adaptability of each tea germplasm in the corresponding planting unit.

[0072] If the environmental adaptation deviation value of a tea germplasm is negative, it means that the tea germplasm is well adapted to the corresponding planting unit.

[0073] If the environmental adaptation deviation value of a tea germplasm is positive, it means that the tea germplasm is not well adapted to the corresponding planting unit.

[0074] If the environmental adaptation deviation value of a tea tree germplasm is 0, it means that the tea tree germplasm is well adapted to the corresponding planting unit and is incorporated into the breeding control process with a negative environmental adaptation deviation value.

[0075] The breeding management module is used to perform single-source fluorine accumulation detection on the tea tree germplasm based on the amplitude of the environmental adaptation deviation value of the tea tree germplasm when the direction of the environmental adaptation deviation value of the tea tree germplasm is negative, wherein the single-source fluorine accumulation detection is used to specifically analyze the fluorine absorption response characteristics of the tea tree germplasm; when the direction of the environmental adaptation deviation value of the tea tree germplasm is positive, the sensitivity identification of the tea tree germplasm is performed based on the amplitude of the environmental adaptation deviation value of the tea tree germplasm, wherein the sensitivity identification is used to evaluate the recovery effect of the tea tree germplasm to environmental regulation.

[0076] Based on the environmental adaptation deviation value of the tea germplasm, the single-source fluorine accumulation detection of the tea germplasm is carried out, specifically including:

[0077] When the direction of the environmental adaptation deviation value of a certain tea tree germplasm is negative or the amplitude of the environmental adaptation deviation value is 0, the tea tree germplasm is recorded as an excellent germplasm, and the excellent germplasm is planted in each single-source fluorine accumulation detection planting unit, and the single-source fluorine accumulation detection planting unit is a standard suitable environment.

[0078] To further clarify the responsiveness of high-quality germplasm to different fluoride input pathways, these high-quality germplasm were sequentially deployed in single-source fluoride accumulation monitoring planting units for decoupling testing to identify their tolerance characteristics to different fluoride source pathways. The environmental adaptation deviation value amplitude of the high-quality germplasm was extracted and entered into a pre-stored database mapping of the environmental adaptation deviation value amplitude to the fluorine content adjustment value set for each fluoride source pathway. After mapping and matching, the fluorine content adjustment value set for each fluoride source pathway of the high-quality germplasm was obtained.

[0079] The fluoride source pathways include soil fluoride source pathway, irrigation water fluoride source pathway and fertilization fluoride source pathway.

[0080] The set of fluorine content adjustment values ​​for the fluorine source pathway includes the fluorine content adjustment value for the soil fluorine source pathway, the fluorine content adjustment value for the irrigation water fluorine source pathway, and the fluorine content adjustment value for the fluorine source pathway of fertilization.

[0081] Based on the set of fluorine content adjustment values ​​for each fluorine source path, the fluorine content of each designated single adjusted fluorine source path in each single-source fluorine accumulation detection planting unit is adjusted, and then single-source fluorine accumulation detection is implemented. That is, each single-source fluorine accumulation detection planting unit only activates one fluorine source path. This includes: adjusting only the soil fluorine concentration, with the remaining irrigation water and fluorine-free fertilizer; adjusting only the irrigation water fluorine concentration, with the remaining soil and fluorine-free fertilizer; and adjusting only the fertilizer fluorine content, with the remaining soil and clean water irrigation.

[0082] The fluorine input data stream, fluorine output data stream and management behavior data stream are obtained and then processed to obtain the single-source fluorine accumulation detection results of excellent germplasm.

[0083] The single-source fluorine accumulation test results of excellent germplasm were obtained. The specific treatment conditions were:

[0084] Based on the fluorine input data flow, fluorine output data flow and management behavior data flow of excellent germplasm in each single-source fluorine accumulation detection planting unit per unit time, the fluorine accumulation value of excellent germplasm in each single-source fluorine accumulation detection planting unit per unit time is calculated by flux conservation, and the total fluorine accumulation value of excellent germplasm in each single-source fluorine accumulation detection planting unit is obtained after coupling processing.

[0085] If the total fluorine accumulation value of an excellent germplasm in a single-source fluorine accumulation detection planting unit exceeds the fluorine accumulation threshold preset in the database, the adjusted fluorine source path corresponding to the single-source fluorine accumulation detection planting unit will be recorded as the sensitive path of the excellent germplasm, and the excellent germplasm will be recorded as a suboptimal germplasm as a hybrid preparation seed.

[0086] It should be noted that suboptimal germplasm is defined as tea plant germplasm that exhibits a significant response to a specific fluoride source pathway in single-source fluoride accumulation testing. Specifically, when a specific fluoride source pathway is activated and tested separately under a standard suitable environment, the germplasm exhibits a high fluoride accumulation capacity in at least one of these pathways.

[0087] If the total fluorine accumulation value of the excellent germplasm in each single-source fluorine accumulation detection planting unit does not exceed the preset fluorine accumulation threshold, the number of the excellent germplasm will be sent to the breeding management terminal for display.

[0088] Based on the environmental adaptation deviation value of the tea germplasm, the sensitivity identification of the tea germplasm is carried out, specifically including:

[0089] When the direction of the environmental adaptation deviation value of a certain tea tree germplasm is positive, the tea tree germplasm is named as demand-sensitive identification tea tree germplasm, and the environmental adaptation deviation value amplitude of the demand-sensitive identification tea tree germplasm is extracted. The mapping of the environmental adaptation deviation value amplitude-the target environmental fluorine content characteristic value of the planting unit pre-stored in the database is put into the centralized mapping matching to obtain the target environmental fluorine content characteristic value of the planting unit of the demand-sensitive identification tea tree germplasm.

[0090] The target environmental fluorine content characteristic value of the planting unit for sensitive identification of tea germplasm is put into the mapping of the target environmental fluorine content characteristic value of the planting unit - the environmental fluorine content slow-release adjustment parameter pre-stored in the database for centralized mapping matching to obtain the environmental fluorine content slow-release adjustment parameter of the planting unit.

[0091] The slow-release adjustment parameters for environmental fluorine content include the downward adjustment value of irrigation water fluorine content, the downward adjustment value of fertilizer fluorine content and the target pH value for soil control, which are used to adjust the characteristic value of environmental fluorine content in the planting unit to achieve the target characteristic value of environmental fluorine content in the planting unit.

[0092] After adjusting the environmental fluorine content characteristic value of the planting unit to the target environmental fluorine content characteristic value, the fluorine accumulation time series of the demand-sensitive identification tea germplasm is obtained again, and the ideal fluorine accumulation time series of the planting unit is obtained, and the environmental adaptation deviation value of the demand-sensitive identification tea germplasm is obtained again. Sensitive identification is performed based on the environmental adaptation deviation value of the demand-sensitive identification tea germplasm.

[0093] Conduct sensitive identification, including:

[0094] If the direction of the environmental adaptation deviation value of the demand-sensitive identification tea germplasm is negative, the demand-sensitive identification tea germplasm will be put into the single-source fluorine accumulation detection.

[0095] If the direction of the environmental adaptation deviation value of the demand-sensitive identification tea tree germplasm is still positive, the environmental fluorine content adjustment will be recorded and the environmental fluorine content will be adjusted again. When the number of environmental fluorine content adjustments is greater than or equal to the preset risk adjustment threshold, the demand-sensitive identification tea tree germplasm is determined to be fluorine-sensitive germplasm.

[0096] The number of the demand-sensitive identified tea germplasm is extracted, a fluorine-sensitive label is added, and it is transferred to an isolated low-fluorine planting unit. The number of the demand-sensitive identified tea germplasm is deleted from the low-fluorine tea germplasm breeding process, so that the demand-sensitive identified tea germplasm is withdrawn from the expansion candidate, and its number and corresponding breeding data are sent to the breeding management terminal for prompting.

[0097] By adjusting the environmental fluorine content, we can scientifically identify tea tree germplasm that is sensitive to fluorine stress, namely fluorine-sensitive germplasm, to avoid poor growth, quality decline or yield loss caused by excessive environmental fluorine during large-scale propagation or planting, thereby fundamentally reducing breeding risks.

[0098] This method embeds key indicators such as environmental fluorine control parameters, accumulation thresholds, and management factors into a system database in the form of a mapping set, enabling automatic matching and dynamic adjustment based on deviation values, significantly reducing the complexity of manual control and experimental resource consumption. Rapid migration and adaptation can be achieved based on the degree of fluorine stress, regional planting differences, or targeted breeding strategies.

[0099] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0100] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all details in detail, nor do they limit the invention to specific implementation methods. Obviously, many modifications and changes can be made based on the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can better understand and utilize the present invention. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should fall within the scope of protection of the present invention.

Claims

1. An intelligent management system for low-fluoride tea germplasm identification and breeding regulation, characterized by: include: A planting unit adjustment module is used to obtain multi-source data on the parents of each tea germplasm, perform an initial low-fluorine characteristic score on each tea germplasm material, and adjust the environmental fluorine content characteristic value of each tea germplasm planting unit based on the initial low-fluorine characteristic score, wherein the environmental fluorine content characteristic value is used to quantitatively characterize the environmental fluorine content of the planting unit; A data processing module is used to obtain the fluorine accumulation value of each tea germplasm planting unit per unit time to form a fluorine accumulation time series, and simultaneously obtain the ideal fluorine accumulation value of each tea germplasm planting unit per unit time to form an ideal fluorine accumulation time series; The data analysis module is used to compare the fluorine accumulation time series of each planting unit with the ideal fluorine accumulation time series in chronological order, derive the environmental adaptation deviation value of each tea germplasm, and make corresponding breeding adjustments based on the direction and amplitude of the environmental adaptation deviation value; The breeding management module is used to perform single-source fluorine accumulation detection on the tea tree germplasm based on the amplitude of the environmental adaptation deviation value of the tea tree germplasm when the direction of the environmental adaptation deviation value of the tea tree germplasm is negative, wherein the single-source fluorine accumulation detection is used to specifically analyze the fluorine absorption response characteristics of the tea tree germplasm; when the direction of the environmental adaptation deviation value of the tea tree germplasm is positive, the sensitivity identification of the tea tree germplasm is performed based on the amplitude of the environmental adaptation deviation value of the tea tree germplasm, wherein the sensitivity identification is used to evaluate the recovery effect of the tea tree germplasm to environmental regulation.

2. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 1 is characterized by: The process of obtaining multi-source data of parents of each tea germplasm and performing initial low-fluorine characteristic scoring on each tea germplasm material is as follows: The multi-source data of the parents of each tea accession include the measured value of the average fluorine content of the parent leaves under the standard suitable environment, the root-stem-leaf fluorine distribution transfer ratio of the parent, and the average leaf color value of the parent; The multi-source parental data of each tea germplasm were processed across parents to obtain the multi-source parental mean data, including the measured mean of the average leaf fluorine content of the parents, the mean of the root-stem-leaf fluorine distribution transfer ratio of the parents, and the mean of the average leaf color value of the parents; The parental multi-source mean data was used as the standard value for the initial low-fluorine characteristic score. The parental multi-source data of each tea germplasm were compared with the parental multi-source mean data and then weighted coupling processing was performed to obtain the initial low-fluorine characteristic score of each tea germplasm. The initial low-fluorine characteristic score is expressed as a quantitative initial indicator of low-fluorine accumulation of each tea germplasm in the overall parental population under a standard suitable environment, and is used as the basis for allocating planting units for each tea germplasm.

3. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 1 is characterized by: The specific process of adjusting the environmental fluorine content characteristic value of each tea germplasm planting unit based on the initial low fluorine characteristic score is as follows: Based on the initial low-fluorine characteristic score of each tea germplasm, the corresponding initial low-fluorine characteristic score-tolerable environmental fluorine content characteristic value in the database is input into the mapping set, and the corresponding tolerable environmental fluorine content characteristic value of each tea germplasm is obtained by mapping and matching; Based on the tolerable environmental fluorine content characteristic value of each tea germplasm, the mapping set of the tolerable environmental fluorine content characteristic value and the environmental fluorine content control parameter preset in the database is input to match the environmental fluorine content control parameters of the planting unit of each tea germplasm, including the fluorine content value of irrigation water, the fluorine content value of fertilizer and the pH value of soil. Based on the environmental fluorine content control parameters, the environmental fluorine content characteristic value of the planting unit is controlled to the tolerable environmental fluorine content characteristic value of the corresponding tea germplasm; The characteristic value of environmental fluorine content is used to quantify the comprehensive numerical index representing the exposure level of fluorine element in the planting unit; The output allocation instruction allocates each tea germplasm to a planting unit corresponding to the characteristic value of the environmental fluorine content to perform the planting task.

4. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 1, characterized in that: The step of obtaining the fluorine accumulation value of each tea plantation unit within a unit time to form a fluorine accumulation time series specifically includes: Obtain the fluorine input data stream, fluorine output data stream and management behavior data stream of the planting unit of each tea germplasm; The fluorine input data stream includes the soil fluorine content, irrigation water fluorine content and fertilizer fluorine content of the planting unit; The fluorine output data stream includes the fluorine content carried by evapotranspiration of water in the planting unit and the fluorine content lost by non-plants; The management behavior data stream includes the influencing factors of irrigation mode, fertilization mode and growth stage; Based on the fluorine input data flow, fluorine output data flow and management behavior data flow of the planting unit of each tea germplasm, the fluorine accumulation value per unit time in the unit is calculated through flux conservation, and the fluorine accumulation value of the planting unit of each tea germplasm in each unit time is obtained to form a fluorine accumulation time series.

5. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 1, characterized in that: The step of obtaining the ideal fluorine accumulation value of each tea germplasm planting unit per unit time to form an ideal fluorine accumulation time series specifically includes: Extract the environmental state variables of each planting unit within a unit time, including: planting unit climate variables, soil state variables and tea tree state variables; At the same time, the ideal reference fluorine accumulation model in the historical database is referenced, and the characteristic values ​​of the environmental fluorine content of each planting unit are input into the model. Based on the environmental state variables of each planting unit in unit time, the corresponding ideal fluorine accumulation values ​​are generated, and after arranging, the ideal fluorine accumulation time series is formed; The ideal fluorine accumulation value represents the fluorine loading performance level that should theoretically be achieved if the germplasm is well adapted in the planting unit.

6. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 1, characterized in that: The fluorine accumulation time series of each planting unit is compared with the ideal fluorine accumulation time series in time sequence to obtain the environmental adaptation deviation value of each tea germplasm, specifically including: The fluorine accumulation time series of each planting unit and the ideal fluorine accumulation time series were numbered according to the unit time. The fluorine accumulation value of each planting unit per unit time was subtracted from the corresponding ideal fluorine accumulation value and averaged to obtain the environmental adaptation deviation value of each tea germplasm. The environmental adaptation deviation value is used to characterize the environmental adaptability of each tea germplasm in the corresponding planting unit.

7. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 1, characterized in that: The single-source fluorine accumulation detection of the tea germplasm based on the environmental adaptation deviation value amplitude of the tea germplasm specifically includes: When the environmental adaptation deviation value of a certain tea germplasm is negative or the environmental adaptation deviation value amplitude is 0, the tea germplasm is recorded as an excellent germplasm, and the excellent germplasm is planted in each single-source fluorine accumulation detection planting unit, and the single-source fluorine accumulation detection planting unit is a standard suitable environment; Extract the environmental adaptation deviation value amplitude of excellent germplasm, input it into the mapping set of environmental adaptation deviation value amplitude-fluorine content adjustment value set of each fluorine source path pre-stored in the database, and obtain the fluorine content adjustment value set of each fluorine source path of excellent germplasm after mapping matching; The fluorine source path includes a soil fluorine source path, an irrigation water fluorine source path and a fertilization fluorine source path; The set of fluorine content adjustment values ​​for the fluorine source pathway includes the fluorine content adjustment value for the soil fluorine source pathway, the fluorine content adjustment value for the irrigation water fluorine source pathway, and the fluorine content adjustment value for the fluorine source pathway of fertilization; Based on the set of fluorine content adjustment values ​​of the fluorine source path, the fluorine content of the designated single adjusted fluorine source path of each single-source fluorine accumulation detection planting unit was adjusted specifically, and then the single-source fluorine accumulation detection was implemented. The fluorine input data flow, fluorine output data flow and management behavior data flow were obtained and processed to obtain the single-source fluorine accumulation detection results of excellent germplasm.

8. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 7, characterized in that: The above-mentioned single-source fluorine accumulation test results of excellent germplasm were obtained, and the specific treatment conditions were as follows: Based on the fluorine input data flow, fluorine output data flow, and management behavior data flow of excellent germplasm in each single-source fluorine accumulation detection planting unit per unit time, the fluorine accumulation value of excellent germplasm in each single-source fluorine accumulation detection planting unit per unit time is calculated through flux conservation, and the total fluorine accumulation value of excellent germplasm in each single-source fluorine accumulation detection planting unit is obtained after coupling processing; If the total fluorine accumulation value of an excellent germplasm in a single-source fluorine accumulation detection planting unit exceeds the preset fluorine accumulation threshold, the adjusted fluorine source path corresponding to the single-source fluorine accumulation detection planting unit will be recorded as the sensitive path of the excellent germplasm, and the excellent germplasm will be recorded as a suboptimal germplasm as a hybrid preparation seed; If the total fluorine accumulation value of the excellent germplasm in each single-source fluorine accumulation detection planting unit does not exceed the preset fluorine accumulation threshold, the number of the excellent germplasm will be sent to the breeding management terminal for display.

9. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 1, characterized in that: The sensitive identification of the tea germplasm based on the environmental adaptation deviation value of the tea germplasm specifically includes: When the direction of the environmental adaptation deviation value of a certain tea germplasm is positive, the tea germplasm is named as the demand-sensitive identification tea germplasm, the environmental adaptation deviation value amplitude of the demand-sensitive identification tea germplasm is extracted, and the mapping of the environmental adaptation deviation value amplitude-the target environmental fluorine content characteristic value of the planting unit of the demand-sensitive identification tea germplasm is input into the mapping set pre-stored in the database to obtain the target environmental fluorine content characteristic value of the planting unit of the demand-sensitive identification tea germplasm; The target environmental fluorine content characteristic value of the planting unit for sensitive identification of tea germplasm is input into the mapping of the target environmental fluorine content characteristic value of the planting unit - the environmental fluorine content slow-release adjustment parameter pre-stored in the database, and then the environmental fluorine content slow-release adjustment parameter of the planting unit is obtained after mapping and matching; The environmental fluorine content slow-release adjustment parameters include the irrigation water fluorine content downward adjustment value, the fertilizer fluorine content downward adjustment value and the soil control target pH value; After adjusting the environmental fluorine content characteristic value of the planting unit to the target environmental fluorine content characteristic value, the fluorine accumulation time series of the demand-sensitive identification tea germplasm is obtained again, and the ideal fluorine accumulation time series of the planting unit is obtained, and the environmental adaptation deviation value of the demand-sensitive identification tea germplasm is obtained again. Sensitive identification is performed based on the environmental adaptation deviation value of the demand-sensitive identification tea germplasm.

10. The intelligent management system for low-fluoride tea germplasm identification and breeding regulation according to claim 9, characterized in that: The sensitive identification specifically includes: If the environmental adaptation deviation value of the tea germplasm with sensitive identification is negative, the tea germplasm with sensitive identification will be put into the single-source fluorine accumulation test; If the direction of the environmental adaptation deviation value of the tea germplasm with sensitive identification is still positive, the environmental fluorine content adjustment will be recorded and the environmental fluorine content will be adjusted again. When the number of environmental fluorine content adjustments is greater than or equal to the preset risk adjustment threshold, the tea germplasm with sensitive identification is determined to be fluorine-sensitive. The number of the demand-sensitive identified tea germplasm is extracted, a fluorine-sensitive label is added, and it is transferred to an isolated low-fluorine planting unit. The number of the demand-sensitive identified tea germplasm is deleted from the low-fluorine tea germplasm breeding process, so that the demand-sensitive identified tea germplasm is withdrawn from the expansion candidate, and its number and corresponding breeding data are sent to the breeding management terminal for prompting.

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