High-efficiency epimimetic cultivation method for epimedium under forest

Abstract

This invention relates to the field of medicinal plant cultivation technology and proposes a highly efficient method for the understory simulated ecological cultivation of Epimedium. The method includes: calculating the light limitation coefficient of the target seedlings in the understory simulated ecological environment; when the light limitation coefficient is greater than a preset light limitation threshold, subjecting the target seedlings to red and blue supplemental lighting treatment; calculating the rhizosphere growth-promoting bacteria colonization index of the target seedlings in the understory simulated ecological environment; when the rhizosphere growth-promoting bacteria colonization index is less than a preset growth-promoting bacteria colonization threshold, subjecting the target seedlings to targeted microbial community regulation treatment; calculating the water stress index of the target seedlings; when the water stress index is in the moderate stress range, subjecting the target seedlings to alternating irrigation treatment in the root zone; and implementing coordinated management of the plants after supplemental lighting, after rhizosphere regulation, and after water and fertilizer regulation throughout the entire growth period to obtain the target Epimedium. This invention enables the efficient cultivation of high-quality Epimedium germplasm.

Description

Technical Field

[0001] This invention relates to a highly efficient, eco-friendly cultivation method for Epimedium under forest cover, belonging to the field of medicinal plant cultivation technology. Background Technology

[0002] Epimedium is a perennial herb belonging to the genus Epimedium in the family Berberidaceae. Its dried leaves are a commonly used traditional Chinese medicine, with effects of tonifying kidney yang, strengthening tendons and bones, and dispelling wind and dampness. It is an important medicinal material in the field of traditional Chinese medicine. Its flavonoid active ingredients, such as epimedin and epimedin A, have clear efficacy in anti-osteoporosis and immune regulation. Therefore, the demand for artificial cultivation of epimedium is becoming increasingly urgent.

[0003] However, traditional Epimedium cultivation mainly focuses on high-yield germplasm and uses uniform shading, fertilization and irrigation measures for management. Although this approach can meet basic market supply needs, it ignores the inherent differences in light environment response, nutrient absorption and water and fertilizer tolerance of different phenotypic germplasms. As a result, high-content germplasms are in a state of insufficient biomass accumulation for a long time, making it difficult to achieve efficient cultivation of high-quality germplasm.

[0004] Therefore, existing technologies lack a method for the efficient cultivation of high-quality Epimedium germplasm. Summary of the Invention

[0005] This invention provides a highly efficient method for the ecological cultivation of Epimedium under forest cover, the main purpose of which is to achieve efficient cultivation of high-quality Epimedium germplasm.

[0006] To achieve the above objectives, the present invention provides a highly efficient, eco-friendly cultivation method for Epimedium under forest cover, comprising:

[0007] Phenotypic selection of Epimedium seedlings was performed to obtain target seedlings. The target seedlings were planted in a simulated forest environment, and the light energy limitation coefficient of the target seedlings in the simulated forest environment was calculated. When the light energy limitation coefficient was greater than a preset light energy limitation threshold, the target seedlings were subjected to red and blue supplemental lighting treatment to obtain plants after supplemental lighting.

[0008] Calculate the rhizosphere growth-promoting bacteria colonization index of the target seedlings in the simulated forest environment. When the rhizosphere growth-promoting bacteria colonization index is less than the preset growth-promoting bacteria colonization threshold, perform targeted microbial community regulation treatment on the target seedlings to obtain plants after rhizosphere regulation.

[0009] Calculate the water stress index of the target seedlings. When the water stress index is in the moderate stress range, perform alternating irrigation treatment on the root zone of the target seedlings to obtain plants after water and fertilizer regulation.

[0010] The target Epimedium was obtained by synergistic management of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation throughout their entire growth period.

[0011] Optionally, the light limitation coefficient of the target seedling in the simulated forest environment is calculated, including:

[0012] The photosynthetically active radiation intensity in the simulated forest environment was measured, and the light energy distribution ratio and heat dissipation rate of the target seedlings were detected.

[0013] The light energy dissipation index of the target seedling is calculated based on the photosynthetically active radiation intensity, the light energy distribution ratio, and the heat dissipation rate.

[0014] Calculate the PSII photochemical efficiency of the target seedlings;

[0015] The de-epoxygenation rate and PSII shutdown ratio of the target seedlings were detected;

[0016] The light limitation coefficient of the target seedling is calculated based on the PSII photochemical efficiency, the light dissipation index, the de-epoxy oxidation rate, and the PSII shutdown ratio.

[0017] Optionally, calculating the PSII photochemical efficiency of the target seedling includes:

[0018] Identify the functional leaves of the target seedling, wherein the functional leaves are mature leaves located in the upper part of the stem of the target seedling that are free from pests and diseases, fully expanded, and have normal leaf color;

[0019] The maximum and minimum fluorescence yields under dark adaptation of the functional blades were detected.

[0020] The PSII photochemical efficiency of the target seedling is calculated based on the maximum fluorescence yield and the minimum fluorescence yield under dark adaptation.

[0021] Optionally, the rhizosphere growth-promoting bacteria colonization index of the target seedlings in the simulated forest environment is calculated, including:

[0022] Obtain rhizosphere soil samples of the target seedlings and identify the types of rhizosphere growth-promoting bacteria and the number of colonies corresponding to each type of rhizosphere growth-promoting bacteria in the rhizosphere soil samples.

[0023] Environmental parameters of the simulated forest environment were collected, including soil pH, soil moisture content, soil organic matter content, and forest light intensity.

[0024] The original planting density of rhizosphere growth-promoting bacteria in the target seedling is calculated based on the types of rhizosphere growth-promoting bacteria and the number of colonies.

[0025] Based on the aforementioned environmental parameters, the pH correction coefficient, moisture content correction coefficient, organic matter correction coefficient, and light correction coefficient for the target seedlings were determined respectively.

[0026] The original colonization density of the rhizosphere growth-promoting bacteria is multiplied by the pH correction coefficient, the moisture content correction coefficient, the organic matter correction coefficient, and the light correction coefficient to obtain the rhizosphere growth-promoting bacteria colonization index.

[0027] Optionally, the water stress index of the target seedling is calculated, including:

[0028] The soil moisture content, electrical conductivity, and rhizosphere micro-region nutrients of the target seedlings were continuously collected at multiple time points, corresponding to time-series monitoring values.

[0029] Determine the current monitoring value and preset benchmark value corresponding to each of the aforementioned time-series monitoring values ​​to calculate the initial water stress index of the target seedling;

[0030] Based on the time-series monitoring values, the rate of change of water content, the rate of change of electrical conductivity, and the rate of change of nutrients of the target seedlings at multiple time points are calculated respectively.

[0031] Based on the rate of change of water content, the rate of change of electrical conductivity, and the rate of change of nutrients, the stress trend correction coefficient of the target seedling is calculated;

[0032] The water stress index is obtained by multiplying the initial water stress index by the stress trend correction coefficient.

[0033] Optionally, when the light energy limitation coefficient is greater than a preset light energy limitation threshold, the target seedling is subjected to red and blue supplemental lighting treatment to obtain a supplemented plant, including:

[0034] The red light supplement intensity of the target seedling is determined according to a preset ratio based on the difference between the light energy limitation coefficient and the light energy limitation threshold.

[0035] The blue light supplementation intensity of the target seedling is determined using the chlorophyll a / b ratio of the target seedling.

[0036] The cumulative duration during which the light energy limitation coefficient is greater than the light energy limitation threshold is determined as the supplemental lighting duration for the target seedling;

[0037] Based on the red light supplementary light intensity and the blue light supplementary light intensity, the target seedling is irradiated with supplementary light during the supplementary light duration to obtain a plant after supplementary light.

[0038] Optionally, the target seedlings are subjected to targeted microbial community regulation treatment to obtain rhizosphere-regulated plants, including:

[0039] Identify the types of missing rhizosphere growth-promoting bacteria in the target seedlings and determine the supplementation concentration of each type of missing rhizosphere growth-promoting bacteria;

[0040] A compound microbial agent for the target seedlings is prepared based on the missing rhizosphere growth-promoting bacteria species and the supplementary concentration.

[0041] The compound microbial agent is mixed with a preset carrier matrix to obtain a microbial agent mixture, and the microbial agent mixture is evenly applied into the rhizosphere soil of the target seedling;

[0042] After the microbial agent mixture is applied, the rhizosphere soil is watered to obtain plants with rhizosphere regulation.

[0043] Optionally, a compound microbial agent for the target seedling is prepared according to the missing rhizosphere growth-promoting bacteria species and the supplementary concentration, comprising:

[0044] Based on the types of missing rhizosphere growth-promoting bacteria, pure strains of each type of missing rhizosphere growth-promoting bacteria were obtained.

[0045] The pure bacterial strains were inoculated into their respective liquid culture media for expansion culture to obtain bacterial suspensions;

[0046] According to the replenishment concentration, the various bacterial suspensions are mixed in a preset ratio to obtain a compound bacterial agent.

[0047] Optionally, when the water stress index is in the moderate stress range, the target seedlings are subjected to alternating irrigation treatment in the root zone to obtain water and fertilizer regulated plants, including:

[0048] The transpiration rate of the target seedling was measured using a stem flow meter.

[0049] Based on the water stress index and the transpiration rate, the first irrigation cycle and the second irrigation cycle of the target seedlings are determined, and the single irrigation amount within each irrigation cycle is determined.

[0050] The root system of the target seedling is symmetrically divided into a first root zone and a second root zone along the longitudinal direction of the main root;

[0051] During the first irrigation cycle, based on the single irrigation amount, the first root zone is irrigated with water and fertilizer, while the second root zone is kept dry;

[0052] During the second irrigation cycle, based on the single irrigation amount, the second root zone is irrigated with water and fertilizer, while the first root zone is kept dry;

[0053] When the cumulative irrigation time of alternating execution of the first irrigation cycle and the second irrigation cycle reaches the preset total irrigation time, the plant after water and fertilizer regulation is obtained.

[0054] Optionally, the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation are subjected to synergistic management throughout their entire growth period to obtain the target Epimedium, including:

[0055] Obtain the growth stage characteristic parameters of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation during their current growth period;

[0056] Based on the growth stage characteristic parameters, the regulation sequence and regulation intensity of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation are set respectively.

[0057] The regulation timing and regulation intensity are encoded as a coordinated management instruction for the entire growth period of the plant after supplemental lighting, the plant after rhizosphere regulation, and the plant after water and fertilizer regulation.

[0058] Based on the aforementioned coordinated management instructions for the entire growth period, coordinated management of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation was carried out to obtain the target Epimedium.

[0059] Compared to the problems described in the background art, the embodiments of the present invention, by phenotypic sorting of Epimedium seedlings, obtain target seedlings, which can identify specific germplasm with high content but low yield, thereby providing targets for subsequent differentiated regulation; furthermore, the embodiments of the present invention, by planting the target seedlings in a forest-simulated ecological environment and calculating the light limitation coefficient of the target seedlings in the forest-simulated ecological environment, can provide a quantitative basis for whether to initiate supplemental lighting for the target seedlings, avoiding the obstruction of biomass accumulation due to insufficient light energy or spectral imbalance; the embodiments of the present invention, when the light limitation coefficient is greater than a preset light limitation threshold, subject the target seedlings to red and blue supplemental lighting treatment, and obtain plants after supplemental lighting, which can actively supplement the red and blue spectrum when the target seedlings are in a light-limited state, relieve light limitation, and promote normal plant growth; furthermore, the embodiments of the present invention, when the root When the rhizosphere growth-promoting bacteria colonization index is less than the preset growth-promoting bacteria colonization threshold, the target seedlings undergo targeted microbial community regulation treatment to obtain rhizosphere-regulated plants. These plants can actively replenish the target microbial community when rhizosphere growth-promoting bacteria colonization is insufficient, restoring the rhizosphere microecological function. Furthermore, in this embodiment, when the water stress index is in the moderate stress range, the target seedlings undergo alternating irrigation treatment in the root zones to obtain water and fertilizer regulated plants. These plants can induce a compensatory effect under moderate water stress by alternately wetting parts of the root system, thereby reducing ineffective transpiration water consumption. Finally, this embodiment of the invention achieves high-efficiency cultivation of high-quality Epimedium germplasm through synergistic management of the plants after supplemental lighting, rhizosphere regulation, and water and fertilizer regulation throughout their entire growth period. This integrates synergistic regulation measures of light environment, rhizosphere microecology, and water and fertilizer supply, improving the growth rate and accumulation of active ingredients in the target Epimedium. Therefore, this invention can achieve efficient cultivation of high-quality Epimedium germplasm. Attached Figure Description

[0060] Figure 1A flowchart illustrating an efficient, eco-friendly cultivation method for Epimedium under forest cover, as provided in an embodiment of the present invention.

[0061] Figure 2 A schematic diagram of sensor layout for an efficient, eco-friendly cultivation method of Epimedium under forest cover, provided in an embodiment of the present invention;

[0062] Figure 3 Synergistic regulation relationship diagram of a highly efficient, eco-friendly cultivation method for Epimedium under forest cover provided in an embodiment of the present invention;

[0063] Figure 4 A schematic diagram of the modules for implementing the above-mentioned efficient ecological cultivation system for Epimedium under forest cover, according to an embodiment of the present invention;

[0064] Figure 5 A schematic diagram of a computer device for implementing an efficient, eco-friendly cultivation method for Epimedium under forest cover, according to an embodiment of the present invention;

[0065] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and the accompanying drawings. Detailed Implementation

[0066] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0067] This application provides a highly efficient, biomimetic cultivation method for Epimedium under forest cover. The executing entity of this highly efficient, biomimetic cultivation method for Epimedium under forest cover includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the highly efficient, biomimetic cultivation method for Epimedium under forest cover can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0068] See Figure 1 The diagram shown is a flowchart illustrating a highly efficient, eco-friendly cultivation method for Epimedium under forest cover according to an embodiment of the present invention. In this embodiment, the highly efficient, eco-friendly cultivation method for Epimedium under forest cover includes:

[0069] S1. Phenotypic sorting is performed on Epimedium seedlings to obtain target seedlings. The target seedlings are planted in a simulated forest environment, and the light energy limitation coefficient of the target seedlings in the simulated forest environment is calculated. When the light energy limitation coefficient is greater than the preset light energy limitation threshold, the target seedlings are subjected to red and blue supplemental lighting treatment to obtain plants after supplemental lighting.

[0070] This invention provides a target seedling by phenotypic sorting of Epimedium seedlings, which can identify specific germplasm with high content but low yield, thereby providing a target for subsequent differentiated regulation.

[0071] The Epimedium seedlings are young plants that can be transplanted under forest cover, propagated from seeds or rhizomes; the target seedlings are selected from Epimedium plants with purple stems and brown leaf margins based on the stem and leaf color.

[0072] Furthermore, in this embodiment of the invention, by planting the target seedlings in a simulated forest environment and calculating the light limitation coefficient of the target seedlings in the simulated forest environment, a quantitative basis can be provided for whether supplemental lighting of the target seedlings is needed, thus avoiding the obstruction of biomass accumulation due to insufficient light energy or spectral imbalance.

[0073] The aforementioned forest-simulated ecological environment uses broad-leaved forests or mixed coniferous and broad-leaved forests with a canopy density of 0.5-0.8 as the carrier, preserving the natural canopy shading and surface litter layer. It is a composite environment for Epimedium cultivation constructed without damaging the original structure and ecological function of the forest land. This environment can provide suitable light, temperature and humidity conditions for the target seedlings and avoid excessive water transpiration. The light energy limitation coefficient is a coefficient characterizing the degree to which the PSII photochemical efficiency of the target seedlings decreases and the light energy utilization is limited in the current forest-underground light environment due to insufficient light intensity or mismatch between the spectral composition and the photosystem requirements.

[0074] As an embodiment of the present invention, calculating the light limitation coefficient of the target seedling in the simulated forest environment includes:

[0075] The photosynthetically active radiation intensity in the simulated forest environment was measured, and the light energy distribution ratio and heat dissipation rate of the target seedlings were detected.

[0076] The light energy dissipation index of the target seedling is calculated based on the photosynthetically active radiation intensity, the light energy distribution ratio, and the heat dissipation rate.

[0077] Calculate the PSII photochemical efficiency of the target seedlings;

[0078] The de-epoxygenation rate and PSII shutdown ratio of the target seedlings were detected;

[0079] The light limitation coefficient of the target seedling is calculated based on the PSII photochemical efficiency, the light dissipation index, the de-epoxy oxidation rate, and the PSII shutdown ratio.

[0080] The photosynthetically active radiation intensity (PARI) refers to the amount of solar radiation in the forest environment within the wavelength range of 400-700 nm, which can be directly measured by a PARI sensor. The light energy distribution ratio refers to the proportion of light energy absorbed by the target seedling leaves used for photochemical reactions, heat dissipation, and fluorescence emission. The heat dissipation rate refers to the speed at which the target seedling leaves dissipate excess light energy in the form of heat. The light energy dissipation index is a quantitative value reflecting the ability of the target seedling leaves to convert excess light energy into heat energy and release it safely. The PSII photochemical efficiency refers to the efficiency with which the PSII reaction centers of the target seedling leaves convert absorbed light energy into chemical energy. The de-epoxidation rate refers to the speed at which diepoxyzeaxanthin is converted into monoepoxyzeaxanthin and zeaxanthin in the xanthophyll cycle of the target seedling leaves. The PSII shutdown ratio refers to the ratio of the number of PSII reaction centers in the target seedling leaves that are in a reversible low-activity state and temporarily unable to carry out photochemical reactions to the total number of reaction centers.

[0081] Optionally, the light energy distribution ratio and heat dissipation rate of the target seedling can be measured using a portable chlorophyll fluorometer. During measurement, the leaf clip is fixed on the functional leaf of the target seedling, and the measuring light, saturated pulse light, and photochemical light are turned on in sequence. The instrument will automatically output the distribution ratio of the light energy absorbed by the leaf for photochemical reaction, heat dissipation, and fluorescence emission, and at the same time output the specific value of the heat dissipation rate. The detection steps of the de-epoxygenation rate are as follows: take the functional leaf of the target seedling, freeze-mill it with liquid nitrogen, extract the pigment with acetone, and then separate and detect the contents of zeaxanthin, antheroxin, and zeaxanthin using high performance liquid chromatography. Finally, calculate the de-epoxygenation state by dividing the sum of the contents of antheroxin and zeaxanthin by the total contents of the three. The change per unit time is the de-epoxygenation rate.

[0082] As another embodiment of the present invention, calculating the PSII photochemical efficiency of the target seedling includes:

[0083] Identify the functional leaves of the target seedling, wherein the functional leaves are mature leaves located in the upper part of the stem of the target seedling that are free from pests and diseases, fully expanded, and have normal leaf color;

[0084] The maximum and minimum fluorescence yields under dark adaptation of the functional blades were detected.

[0085] The PSII photochemical efficiency of the target seedling is calculated based on the maximum fluorescence yield and the minimum fluorescence yield under dark adaptation.

[0086] The functional leaf is a mature leaf located in the upper part of the stem of the target seedling, fully expanded, free from pests and diseases, and with normal leaf color; the maximum fluorescence yield under dark adaptation refers to the maximum chlorophyll fluorescence value measured under saturated pulsed light excitation when the PSII reaction centers of the functional leaf are fully open after sufficient dark adaptation; the minimum fluorescence yield under dark adaptation is the minimum chlorophyll fluorescence value measured after the functional leaf has been fully dark adapted.

[0087] Optionally, the maximum and minimum fluorescence yields of the functional leaf can be determined by measuring the maximum and minimum fluorescence yields of the dark adaptation using a fluorescence meter after the leaf has been dark adapted for 30 minutes.

[0088] For example, the PSII photochemical efficiency is calculated using the following formula:

[0089]

[0090] in, Indicates the photochemical efficiency of PSII. This indicates the maximum fluorescence yield after dark adaptation. This represents the minimum fluorescence yield after dark adaptation.

[0091] In another embodiment of the present invention, the light limitation coefficient of the target seedling is calculated by the following formula:

[0092]

[0093] in, Indicates the light energy limitation factor. Indicates the photochemical efficiency of PSII. Indicates the light energy dissipation index. Indicates the decyclic oxidation rate, This indicates the maximum de-cyclic oxidation rate. Indicates the PSII off ratio. This represents the weighting coefficient for PSII photochemical efficiency. This represents the weighting coefficient of the light energy dissipation index. This represents the weighting coefficient for the de-epionization oxidation rate. This indicates the PSII's proportional amplification factor is off.

[0094] Specifically, the PSII photochemical efficiency weighting coefficient represents the contribution weight of PSII photochemical efficiency in the assessment of light energy limitation, with a value ranging from 0.2 to 0.4; the light dissipation index weighting coefficient represents the contribution weight of light dissipation index in the assessment of light energy limitation, with a value ranging from 0.2 to 0.4; and the de-epoxidation rate weighting coefficient represents the contribution weight of de-epoxidation rate in the assessment of light energy limitation, with a value ranging from 0.3 to 0.5, and satisfies... The PSII off ratio amplification factor represents the amplification adjustment factor of the PSII off ratio on the degree of light energy limitation, and its value ranges from 0.3 to 0.8.

[0095] Optionally, the weighting coefficients of the de-epoxygenation rate, PSII photochemical efficiency, and light dissipation index can be determined based on the objective weighting method of principal component analysis. The specific steps are as follows: collect sample data from no less than 30 different forest environments or different light periods, simultaneously measure the PSII photochemical efficiency, light dissipation index, de-epoxygenation rate, and photoinhibition degree for each sample, and then use principal component analysis to extract the loading coefficients of the first principal component, which are obtained after normalization. The photoinhibition degree is characterized by the decrease rate of the chlorophyll fluorescence parameter Fv / Fm.

[0096] It should be noted that the light energy limitation coefficient calculated by this formula can be directly used to determine whether to activate red and blue supplemental lighting, achieving on-demand supplemental lighting and avoiding insufficient lighting problems caused by fixed or empirical supplemental lighting. Specifically: when When it decreases, An increase indicates a decrease in PSII photochemical efficiency and insufficient light energy conversion capacity, requiring supplemental lighting to replenish effective light energy; when When it decreases, An increase indicates that the heat dissipation capacity deviates from the normal state, and the leaves cannot effectively process the absorbed light energy, requiring supplemental red and blue light to improve light energy distribution; when When the level rises, it indicates that the lutein cycle is active and the plant is in a state of light energy adaptation and regulation; supplemental lighting can help restore light energy utilization efficiency. When increased, the amplification factor The positive amplification of the basic risk items indicates that the low activity state of the reaction center exacerbates the overall light energy limitation, and timely supplemental lighting is needed to relieve the limitation.

[0097] In summary, when the light energy limitation coefficient calculated from the above parameters exceeds the preset threshold, it indicates that the plant is in a light energy limitation state. Activating red and blue supplemental lighting can specifically remove this limitation and achieve precise supplemental lighting as needed.

[0098] Furthermore, in the embodiments of the present invention, when the light energy limitation coefficient is greater than the preset light energy limitation threshold, the target seedling is subjected to red and blue supplemental lighting treatment to obtain a plant after supplemental lighting. This plant can actively supplement the red and blue spectrum when the target seedling is in a light energy limitation state, thereby relieving the light energy limitation and promoting the normal growth of the plant.

[0099] Optionally, the light energy limitation threshold can be determined by measuring the light energy limitation coefficient under different light intensities, plotting the response curve, and taking the light energy limitation coefficient corresponding to the decrease of Fv / Fm to 0.8 as the threshold. It should be noted that the decrease of Fv / Fm to 0.8 indicates that the PSII photochemical efficiency has deviated from the lower limit of the normal range.

[0100] As an embodiment of the present invention, when the light energy limitation coefficient is greater than a preset light energy limitation threshold, the target seedling is subjected to red and blue supplemental lighting treatment to obtain a supplemented plant, including:

[0101] The red light supplement intensity of the target seedling is determined according to a preset ratio based on the difference between the light energy limitation coefficient and the light energy limitation threshold.

[0102] The blue light supplementation intensity of the target seedling is determined using the chlorophyll a / b ratio of the target seedling.

[0103] The cumulative duration during which the light energy limitation coefficient is greater than the light energy limitation threshold is determined as the supplemental lighting duration for the target seedling;

[0104] Based on the red light supplementary light intensity and the blue light supplementary light intensity, the target seedling is irradiated with supplementary light during the supplementary light duration to obtain a plant after supplementary light.

[0105] As another embodiment of the present invention, after obtaining the plant after supplemental lighting, the method further includes: collecting the light energy limitation coefficient of the plant after supplemental lighting; if the light energy limitation coefficient is still greater than the light energy limitation threshold, extending the duration of supplemental lighting on the target seedling until the light energy limitation coefficient is less than or equal to the light energy limitation threshold.

[0106] The preset ratio is determined through the following preliminary experiment: the rate of decrease of the light energy limitation coefficient under different supplemental light intensities is measured, and the ratio of the red light supplemental light intensity corresponding to the fastest rate of decrease to the difference between the light energy limitation coefficient and the threshold is taken as the preset ratio. The value range of the preset ratio is 20 to 50 μmol·m⁻²·s⁻¹ per unit difference; the chlorophyll a / b ratio refers to the ratio of chlorophyll a content to chlorophyll b content in the leaves of the target seedling.

[0107] S2. Calculate the rhizosphere growth-promoting bacteria colonization index of the target seedling in the simulated forest environment. When the rhizosphere growth-promoting bacteria colonization index is less than the preset growth-promoting bacteria colonization threshold, perform targeted microbial community regulation treatment on the target seedling to obtain plants after rhizosphere regulation.

[0108] This invention, through calculating the rhizosphere colonization index of the target seedlings in the simulated forest environment, can distinguish the inherent differences in rhizosphere colonization ability among different seedlings, providing a quantitative basis for subsequent selection of whether to carry out targeted microbial community regulation treatment. The rhizosphere colonization index is a quantitative value used to characterize the health of the rhizosphere microecology of the target seedlings, with a value range of 0 to 1.

[0109] As an embodiment of the present invention, calculating the rhizosphere growth-promoting bacteria colonization index of the target seedlings in the simulated forest environment includes:

[0110] Obtain rhizosphere soil samples of the target seedlings and identify the types of rhizosphere growth-promoting bacteria and the number of colonies corresponding to each type of rhizosphere growth-promoting bacteria in the rhizosphere soil samples.

[0111] Environmental parameters of the simulated forest environment were collected, including soil pH, soil moisture content, soil organic matter content, and forest light intensity.

[0112] The original planting density of rhizosphere growth-promoting bacteria in the target seedling is calculated based on the types of rhizosphere growth-promoting bacteria and the number of colonies.

[0113] Based on the aforementioned environmental parameters, the pH correction coefficient, moisture content correction coefficient, organic matter correction coefficient, and light correction coefficient for the target seedlings were determined respectively.

[0114] The original colonization density of the rhizosphere growth-promoting bacteria is multiplied by the pH correction coefficient, the moisture content correction coefficient, the organic matter correction coefficient, and the light correction coefficient to obtain the rhizosphere growth-promoting bacteria colonization index.

[0115] The rhizosphere growth-promoting bacteria are beneficial microorganisms that colonize the rhizosphere of plants and promote plant growth, including nitrogen-fixing bacteria, phosphate-solubilizing bacteria, potassium-solubilizing bacteria, siderophore-producing bacteria, and plant hormone-producing bacteria. The steps for obtaining the rhizosphere soil sample are as follows: removing the surface soil of the target seedling's rhizosphere to collect rhizosphere soil within 0-2 mm from the root surface, placing it in a sterile sealed bag, and storing it at 4°C. The soil pH value is measured using a pH meter, the soil moisture content is measured using the drying and weighing method, the soil organic matter content is measured using the potassium dichromate oxidation method, and the forest understory light intensity is measured using a photometer. The original colony density of the rhizosphere growth-promoting bacteria refers to the total number of rhizosphere growth-promoting bacteria colonies per unit mass of rhizosphere soil sample, obtained by summing the colony counts corresponding to the identified types of rhizosphere growth-promoting bacteria.

[0116] As another embodiment of the present invention, based on the environmental parameters, the pH correction coefficient, moisture content correction coefficient, organic matter correction coefficient, and light intensity correction coefficient of the target seedling are determined, including:

[0117] The pH correction coefficient is determined based on the soil pH value and the optimal pH range of the rhizosphere growth-promoting bacteria of the target seedling;

[0118] The moisture content correction coefficient is determined based on the soil moisture content and the optimal moisture content range of the target seedling rhizosphere growth-promoting bacteria.

[0119] The organic matter correction coefficient is determined based on the soil organic matter content and the optimal organic matter content of the rhizosphere growth-promoting bacteria of the target seedling.

[0120] The light correction coefficient is determined based on the forest undergrowth light intensity and the optimal light intensity range for the rhizosphere growth-promoting bacteria of the target seedling.

[0121] Specifically, the pH correction coefficient is a coefficient used to characterize the degree of inhibition of rhizosphere growth-promoting bacteria colonization when the soil pH value deviates from the optimal pH range, and its value ranges from 0 to 1; the moisture content correction coefficient is a coefficient used to characterize the degree of inhibition of rhizosphere growth-promoting bacteria colonization when the soil moisture content deviates from the optimal moisture content range, and its value ranges from 0 to 1; the organic matter correction coefficient is a coefficient used to characterize the degree of promotion or inhibition of rhizosphere growth-promoting bacteria colonization when the soil organic matter content deviates from the optimal organic matter content range, and its value ranges from 0 to 1; the light correction coefficient is a coefficient used to characterize the degree of inhibition of rhizosphere growth-promoting bacteria colonization when the forest undergrowth light intensity deviates from the optimal light intensity range, and its value ranges from 0 to 1.

[0122] Optionally, the optimal pH range, the optimal moisture content range, the optimal organic matter content range, and the optimal light intensity range are determined by measuring the growth activity of the rhizosphere growth-promoting bacteria of the target seedlings under different environmental parameters through in vitro culture experiments. For example, by conducting in vitro culture experiments on the rhizosphere growth-promoting bacteria of the target seedlings and measuring the growth activity of the rhizosphere growth-promoting bacteria under different moisture content conditions, the moisture content range in which the growth activity reaches more than 80% of the maximum growth activity is taken as the optimal moisture content range.

[0123] For example, determining the pH correction coefficient based on the soil pH value and the optimal pH range of the target seedling rhizosphere growth-promoting bacteria includes:

[0124] When the soil pH value is within the optimal pH range, the pH correction factor is set to 1;

[0125] When the soil pH value exceeds the optimal pH range, the pH correction factor is calculated using the following formula based on the difference between the soil pH value and the boundary value of the optimal pH range:

[0126]

[0127] in, Indicates the pH correction factor. This indicates the absolute distance between the soil pH value and the boundary value of the optimal pH range. This indicates the preset pH sensitivity coefficient.

[0128] Optionally, the pH sensitivity coefficient can be determined by offline experimental calibration, such as by measuring the growth activity of the rhizosphere growth-promoting bacteria of the target seedling under different pH gradients, and then using the reciprocal of the pH deviation distance corresponding to a 50% decrease in growth activity as the pH sensitivity coefficient.

[0129] The determination of the organic matter correction coefficient based on the soil organic matter content and the optimal organic matter content of the target seedling rhizosphere growth-promoting bacteria includes:

[0130] The organic matter correction factor is calculated using the following formula, based on the ratio of the soil organic matter content to the optimal organic matter content:

[0131]

[0132] in, Represents the organic matter correction factor. Indicates the soil organic matter content. This indicates the preset semi-saturated organic matter content.

[0133] In detail, the semi-saturated organic matter content refers to the soil organic matter content corresponding to the rhizosphere growth-promoting bacteria reaching 50% of its maximum activity. The method of obtaining the organic matter content is as follows: multiple organic matter content gradients are set, and the growth activity of the target seedling rhizosphere growth-promoting bacteria under each gradient is measured by offline experimental calibration. An organic matter content-growth activity curve is plotted, and the organic matter content corresponding to the growth activity reaching 50% of its maximum activity is taken as the semi-saturated organic matter content.

[0134] The methods for obtaining the moisture content correction coefficient and the light intensity correction coefficient in this embodiment of the invention are the same as those for obtaining the pH sensitivity coefficient, and will not be repeated here.

[0135] Furthermore, in the embodiments of the present invention, when the rhizosphere growth-promoting bacteria colonization index is less than the preset growth-promoting bacteria colonization threshold, the target seedling is subjected to targeted microbial community regulation treatment. The resulting rhizosphere-regulated plant can actively replenish the target microbial community when the rhizosphere growth-promoting bacteria colonization is insufficient, thereby restoring the rhizosphere microecological function. The growth-promoting bacteria colonization threshold is the minimum rhizosphere growth-promoting bacteria colonization index required to maintain the normal growth of the target seedling.

[0136] Optionally, the method for determining the colonization threshold of the growth-promoting bacteria is as follows: collect rhizosphere soil samples of the target seedling under normal growth conditions, measure its rhizosphere growth-promoting bacteria colonization index, and take the lower limit of the rhizosphere growth-promoting bacteria colonization index under normal growth conditions as the colonization threshold of the growth-promoting bacteria.

[0137] As an embodiment of the present invention, the target seedlings are subjected to targeted microbial community regulation treatment to obtain rhizosphere-regulated plants, including:

[0138] Identify the types of missing rhizosphere growth-promoting bacteria in the target seedlings and determine the supplementation concentration of each type of missing rhizosphere growth-promoting bacteria;

[0139] A compound microbial agent for the target seedlings is prepared based on the missing rhizosphere growth-promoting bacteria species and the supplementary concentration.

[0140] The compound microbial agent is mixed with a preset carrier matrix to obtain a microbial agent mixture, and the microbial agent mixture is evenly applied into the rhizosphere soil of the target seedling;

[0141] After the microbial agent mixture is applied, the rhizosphere soil is watered to obtain plants with rhizosphere regulation.

[0142] The missing rhizosphere growth-promoting bacteria species are the same as those mentioned above; the replenishment concentration refers to the number of viable bacteria of various missing rhizosphere growth-promoting bacteria that need to be replenished per unit mass of rhizosphere soil, which can be obtained by multiplying the difference between the rhizosphere growth-promoting bacteria colonization index and the growth-promoting bacteria colonization threshold by a concentration conversion coefficient. The concentration conversion coefficient can be obtained by fitting the optimal replenishment concentration under different colonization index differences through pot experiments; the carrier matrix refers to the solid material used to adsorb and support the compound microbial agent, including peat, vermiculite, and biochar.

[0143] Preferably, the mass ratio of the compound microbial agent to the carrier matrix is ​​as follows: when the carrier matrix is ​​peat moss, the mass ratio is 1:5 to 1:15; when the carrier matrix is ​​vermiculite, the mass ratio is 1:3 to 1:10; and when the carrier matrix is ​​biochar, the mass ratio is 1:10 to 1:20.

[0144] As another embodiment of the present invention, a compound microbial agent for the target seedling is prepared according to the missing rhizosphere growth-promoting bacteria species and the supplementary concentration, comprising:

[0145] Based on the types of missing rhizosphere growth-promoting bacteria, pure strains of each type of missing rhizosphere growth-promoting bacteria were obtained.

[0146] The pure bacterial strains were inoculated into their respective liquid culture media for expansion culture to obtain bacterial suspensions;

[0147] According to the replenishment concentration, the various bacterial suspensions are mixed in a preset ratio to obtain a compound bacterial agent.

[0148] The pure strain refers to a rhizosphere growth-promoting strain obtained by isolating, purifying, and culturing a single bacterial species. The cultivation steps are as follows: rhizosphere growth-promoting bacteria are isolated from the rhizosphere soil of the target seedling; after streak plating purification, single colonies are picked and inoculated into a selective solid slant medium for rhizosphere growth-promoting bacteria to obtain the pure strain; the liquid culture medium is a selective medium for rhizosphere growth-promoting bacteria, including at least one of nitrogen-free medium, PKO medium, potassium feldspar medium, or CAS medium; the viable bacterial concentration in the bacterial suspension is [missing information]. to CFU / mL; the preset ratio is the volume percentage of various bacterial suspensions in the compound bacterial agent.

[0149] Specifically, assuming the missing rhizosphere growth-promoting bacteria are nitrogen-fixing bacteria, phosphate-solubilizing bacteria, and potassium-solubilizing bacteria, their replenishment concentrations are 2× CFU / g, 1× CFU / g, 2× CFU / g, the viable cell concentration of all bacterial suspensions was 1× If the CFU / mL, the required volumes of each bacterial suspension are 0.2mL, 0.1mL, and 0.1mL, respectively, with a volume ratio of 2:1:1. That is, the preset ratio of nitrogen-fixing bacteria suspension, phosphate-solubilizing bacteria suspension, and potassium-solubilizing bacteria suspension is 2:1:1.

[0150] S3. Calculate the water stress index of the target seedling. When the water stress index is in the moderate stress range, perform alternating irrigation treatment on the root zone of the target seedling to obtain plants after water and fertilizer regulation.

[0151] This invention can achieve early warning of water stress by calculating the water stress index of the target seedling, and provide a quantitative basis for timely water management. The water stress index is a quantitative value that characterizes the degree of water deficit or overwater stress of the target seedling under the current soil moisture conditions.

[0152] As an embodiment of the present invention, calculating the water stress index of the target seedling includes:

[0153] The soil moisture content, electrical conductivity, and rhizosphere micro-region nutrients of the target seedlings were continuously collected at multiple time points, corresponding to time-series monitoring values.

[0154] Determine the current monitoring value and preset benchmark value corresponding to each of the aforementioned time-series monitoring values ​​to calculate the initial water stress index of the target seedling;

[0155] Based on the time-series monitoring values, the rate of change of water content, the rate of change of electrical conductivity, and the rate of change of nutrients of the target seedlings at multiple time points are calculated respectively.

[0156] Based on the rate of change of water content, the rate of change of electrical conductivity, and the rate of change of nutrients, the stress trend correction coefficient of the target seedling is calculated;

[0157] The water stress index is obtained by multiplying the initial water stress index by the stress trend correction coefficient.

[0158] The rhizosphere micro-zone nutrients refer to the nutrient content of available nitrogen, available phosphorus, and available potassium in the soil within 0 to 5 mm of the root surface of the target seedling. The initial water stress index is obtained by weighted summation of the ratios of the current monitored water content to the water content benchmark, the ratio of the current monitored electrical conductivity to the electrical conductivity benchmark, and the ratio of the nutrient benchmark to the nutrient current monitored value. The water content benchmark is the field capacity, the electrical conductivity benchmark is the stable value of rhizosphere soil electrical conductivity measured in the early morning under normal growth conditions, and the nutrient benchmark is the lower limit of the suitable concentration for this growth period. The stress trend correction coefficient is a correction factor used to characterize the trend of water stress degree of the target seedling over time, and is obtained by normalization after weighted summation of the rates of change of water content, electrical conductivity, and nutrient.

[0159] The rate of change of water content in the target seedling at multiple time points in this embodiment of the invention is determined by the following method: obtaining the water content monitoring values ​​of adjacent time points in the time-series monitoring values, calculating the water content difference between the adjacent time points; dividing the water content difference by the corresponding time interval to obtain the rate of change of water content. The methods for determining the rate of change of electrical conductivity and the rate of change of nutrients are the same as those for determining the rate of change of water content, and will not be repeated here.

[0160] Furthermore, in the embodiments of the present invention, when the water stress index is in the moderate stress range, the target seedlings are subjected to alternating irrigation treatment in the root zone. After water and fertilizer regulation, the plants can induce a compensatory effect by alternately wetting some roots under moderate water stress, thereby reducing ineffective transpiration water consumption.

[0161] It should be noted that the stress range corresponding to the water stress index includes a no-stress range, a mild-stress range, a moderate-stress range, and a severe-stress range. The moderate-stress range refers to the range where the water stress index is greater than or equal to the second threshold and less than the third threshold. The second threshold is the water stress index corresponding to a decrease in stomatal conductance of the target seedling to 70% of its maximum stomatal conductance, and the third threshold is the water stress index corresponding to a decrease in relative leaf water content of the target seedling to 60%. The no-stress range refers to the range where the water stress index is less than the first threshold. The first threshold is the water stress index corresponding to a decrease in photosynthetic rate of the target seedling to 95% of its maximum photosynthetic rate. The mild-stress range refers to the range where the water stress index is greater than or equal to the first threshold and less than the second threshold. The severe-stress range refers to the range where the water stress index is greater than or equal to the third threshold.

[0162] As an embodiment of the present invention, when the water stress index is in the moderate stress range, the target seedlings are subjected to alternating irrigation treatment in the root zone to obtain plants after water and fertilizer regulation, including:

[0163] The transpiration rate of the target seedling was measured using a stem flow meter.

[0164] Based on the water stress index and the transpiration rate, the first irrigation cycle and the second irrigation cycle of the target seedlings are determined, and the single irrigation amount within each irrigation cycle is determined.

[0165] The root system of the target seedling is symmetrically divided into a first root zone and a second root zone along the longitudinal direction of the main root;

[0166] During the first irrigation cycle, based on the single irrigation amount, the first root zone is irrigated with water and fertilizer, while the second root zone is kept dry;

[0167] During the second irrigation cycle, based on the single irrigation amount, the second root zone is irrigated with water and fertilizer, while the first root zone is kept dry;

[0168] When the cumulative irrigation time of alternating execution of the first irrigation cycle and the second irrigation cycle reaches the preset total irrigation time, the plant after water and fertilizer regulation is obtained.

[0169] Wherein, the transpiration rate refers to the flow rate of water transported by the target seedling through the stem per unit time; the first irrigation cycle and the second irrigation cycle respectively define the duration of a single water and fertilizer irrigation for the first root zone and the second root zone; the first root zone and the second root zone are two root zones obtained by symmetrically dividing the root system of the target seedling along the longitudinal direction of the main root, wherein the first root zone is the left root zone and the second root zone is the right root zone; or the first root zone is the upper root zone and the second root zone is the lower root zone; the single irrigation amount includes the amount of water used for water and fertilizer irrigation and the amount of water-soluble fertilizer applied with the water, wherein the water-soluble fertilizer includes at least one of nitrogen fertilizer, phosphorus fertilizer, potassium fertilizer and micronutrient fertilizer; the total irrigation duration is determined according to the time required for the water stress index of the target seedling to recover to the mild stress range or the normal range.

[0170] To achieve real-time acquisition of the raw parameters required for calculating the light limitation coefficient, rhizosphere growth-promoting bacteria colonization index, and water stress index, please refer to [reference needed]. Figure 2 The diagram shows a sensor layout for a highly efficient, forest-simulated cultivation method for Epimedium, according to an embodiment of the present invention. The present invention deploys a sensor array in a forest-simulated environment as follows: a photosynthetically active radiation sensor is installed 1.5m below the canopy layer to continuously monitor the photosynthetically active radiation intensity; chlorophyll fluorometer leaf clips are installed on the upper part of the target seedling stems to determine the light energy distribution ratio, heat dissipation rate, and PSII closure ratio; a stem flow meter is installed at the base of the target seedling stem to continuously measure the plant transpiration rate; pH, moisture, and conductivity sensors are deployed within 0-2mm of the root surface in the rhizosphere microzone to monitor the rhizosphere soil pH, moisture content, and conductivity in real time; nutrient sampling points are set within 0-5mm of the root surface in the rhizosphere microzone to periodically collect soil samples for determining the content of available nitrogen, available phosphorus, and available potassium; and temperature and humidity sensors are deployed in the forest environment to monitor ambient temperature and humidity. All of the above sensors are connected to a data acquisition unit, which automatically collects and records data at set time intervals, providing real-time and continuous raw data support for the calculation of light limitation coefficient, rhizosphere growth-promoting bacteria colonization index and water stress index.

[0171] S4. The plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation are managed in a coordinated manner throughout their entire growth period to obtain the target Epimedium.

[0172] This invention provides a method for obtaining target Epimedium by implementing synergistic management of the plant after supplemental lighting, the plant after rhizosphere regulation, and the plant after water and fertilizer regulation throughout the entire growth period. This method integrates synergistic regulation measures of light environment, rhizosphere microecology, and water and fertilizer supply to improve the growth rate and accumulation of active ingredients in the target Epimedium.

[0173] As an embodiment of the present invention, the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation are subjected to synergistic management throughout their entire growth period to obtain the target Epimedium, including:

[0174] Obtain the growth stage characteristic parameters of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation during their current growth period;

[0175] Based on the growth stage characteristic parameters, the regulation sequence and regulation intensity of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation are set respectively.

[0176] The regulation timing and regulation intensity are encoded as a coordinated management instruction for the entire growth period of the plant after supplemental lighting, the plant after rhizosphere regulation, and the plant after water and fertilizer regulation.

[0177] Based on the aforementioned coordinated management instructions for the entire growth period, coordinated management of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation was carried out to obtain the target Epimedium.

[0178] The growth stage characteristic parameters include at least one of growth period type, plant height, leaf area index, and biomass accumulation rate; the whole growth period collaborative management command is a control command used to drive the plant after supplemental lighting, the plant after rhizosphere regulation, and the plant after water and fertilizer regulation to perform collaborative management according to the regulation sequence and the regulation intensity.

[0179] As a specific embodiment of the present invention, when the characteristic parameters of the reproductive stage meet the conditions of the peak growth period, the instructions for the coordinated management of the entire reproductive period are as follows: supplemental lighting from 6:00 to 14:00 daily, with an intensity of 120 μmol·m⁻²·s⁻¹; application of 50 mL of microbial agent every 7 days; and irrigation with 200 mL of water and fertilizer every 3 days.

[0180] Furthermore, based on the aforementioned growth stage characteristic parameters, the timing and intensity of regulation are set for the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation, respectively, including:

[0181] Based on the growth stage characteristic parameters, determine the current growth stage type of the plant after supplemental lighting, the plant after rhizosphere regulation, and the plant after water and fertilizer regulation;

[0182] Based on the aforementioned growth stage type, the timing and intensity of supplemental lighting for the plants after supplemental lighting, the timing and intensity of rhizosphere regulation for the plants after rhizosphere regulation, and the timing and intensity of water and fertilizer regulation for the plants after water and fertilizer regulation are determined respectively.

[0183] In this invention, the growth period types include seedling stage, vigorous growth stage, flowering stage, and fruiting stage; the supplemental lighting sequence includes the daily supplemental lighting start time, supplemental lighting duration, and supplemental lighting interval; the supplemental lighting intensity includes supplemental lighting power and light intensity; the rhizosphere regulation sequence includes the start time of microbial agent application, the number of days between microbial agent applications, and the duration of a single regulation; the rhizosphere regulation intensity includes the amount of microbial agent applied, the range of rhizosphere temperature and humidity regulation, and aeration; the water and fertilizer regulation sequence includes the start time of water and fertilizer application, the number of days between watering and fertilization, and the number of days between fertilization; the water and fertilizer regulation intensity includes the amount of water applied per application, the amount of fertilizer applied per application, and the water and fertilizer ratio concentration.

[0184] See Figure 3 The diagram shown illustrates the synergistic regulation relationship of a highly efficient, eco-friendly cultivation method for Epimedium under forest cover, as provided in an embodiment of the present invention. The diagram demonstrates how the calculated results of the light limitation coefficient, rhizosphere growth-promoting bacteria colonization index, and water stress index are input to the full-growth-period synergistic management controller. It also shows the controller's output of regulatory instructions to the red-blue supplemental lighting system, the compound microbial agent application system, and the alternating irrigation system for the root zone, based on the current growth stage. This illustrates that the various regulatory links in this scheme do not operate independently, but are uniformly scheduled and coordinated within the framework of full-growth-period synergistic management, thereby achieving integrated and precise management of light, rhizosphere, water, and fertilizer.

[0185] See Figure 4 The diagram shown is a schematic diagram of a highly efficient, eco-friendly cultivation system for Epimedium under forest cover, provided in an embodiment of the present invention.

[0186] The efficient, eco-friendly cultivation system 200 for Epimedium under forest cover described in this invention can be installed in an electronic device. Depending on the functions implemented, the efficient, eco-friendly cultivation system for Epimedium under forest cover includes a light environment control module 201, a rhizosphere microecological control module 202, a water and fertilizer control module 203, and a collaborative management module 204. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0187] In this embodiment of the invention, the functions of each module / unit are as follows:

[0188] The light environment control module 201 is used to perform phenotypic sorting on Epimedium seedlings to obtain target seedlings, plant the target seedlings in a forest-simulated ecological environment, and calculate the light energy limitation coefficient of the target seedlings in the forest-simulated ecological environment. When the light energy limitation coefficient is greater than the preset light energy limitation threshold, the target seedlings are subjected to red and blue supplemental lighting treatment to obtain plants after supplemental lighting.

[0189] The rhizosphere microecological regulation module 202 is used to calculate the rhizosphere growth-promoting bacteria colonization index of the target seedling in the forest-simulated ecological environment. When the rhizosphere growth-promoting bacteria colonization index is less than the preset growth-promoting bacteria colonization threshold, the target seedling is subjected to targeted microbial community regulation treatment to obtain plants after rhizosphere regulation.

[0190] The water and fertilizer regulation module 203 is used to calculate the water stress index of the target seedling. When the water stress index is in the moderate stress range, the target seedling is subjected to alternating irrigation treatment in the root zone to obtain the plant after water and fertilizer regulation.

[0191] The collaborative management module 204 is used to perform collaborative management of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation throughout their entire growth period to obtain the target Epimedium.

[0192] In detail, the modules in the efficient, eco-friendly cultivation system 200 for Epimedium under forest cover described in this embodiment of the invention employ the same methods as described above. Figure 1 The same technical means are used in the efficient ecological cultivation method of Epimedium under forests described in the article, and it can produce the same technical effect, so it will not be repeated here.

[0193] In one embodiment, a computer device is provided, which may be a server or a client, and its internal structure diagram may be as follows: Figure 5 As shown. The computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used for communication with external clients via a network connection. When the computer program is executed by the processor, it implements the functions or steps of a highly efficient, biomimetic cultivation method for Epimedium under forest cover, either on the server or client side.

[0194] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0195] S1. Phenotypic sorting of Epimedium seedlings to obtain target seedlings, planting the target seedlings in a forest-simulated ecological environment, and calculating the light energy limitation coefficient of the target seedlings in the forest-simulated ecological environment. When the light energy limitation coefficient is greater than a preset light energy limitation threshold, red and blue supplemental lighting treatment is applied to the target seedlings to obtain plants after supplemental lighting.

[0196] S2. Calculate the rhizosphere growth-promoting bacteria colonization index of the target seedling in the forest-simulated ecological environment. When the rhizosphere growth-promoting bacteria colonization index is less than the preset growth-promoting bacteria colonization threshold, perform targeted microbial community regulation treatment on the target seedling to obtain plants after rhizosphere regulation.

[0197] S3. Calculate the water stress index of the target seedling. When the water stress index is in the moderate stress range, perform alternating irrigation treatment on the root zone of the target seedling to obtain the plant after water and fertilizer regulation.

[0198] S4. The plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation are managed in a coordinated manner throughout their entire growth period to obtain the target Epimedium.

[0199] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0200] S1. Phenotypic sorting of Epimedium seedlings to obtain target seedlings, planting the target seedlings in a forest-simulated ecological environment, and calculating the light energy limitation coefficient of the target seedlings in the forest-simulated ecological environment. When the light energy limitation coefficient is greater than a preset light energy limitation threshold, red and blue supplemental lighting treatment is applied to the target seedlings to obtain plants after supplemental lighting.

[0201] S2. Calculate the rhizosphere growth-promoting bacteria colonization index of the target seedling in the forest-simulated ecological environment. When the rhizosphere growth-promoting bacteria colonization index is less than the preset growth-promoting bacteria colonization threshold, perform targeted microbial community regulation treatment on the target seedling to obtain plants after rhizosphere regulation.

[0202] S3. Calculate the water stress index of the target seedling. When the water stress index is in the moderate stress range, perform alternating irrigation treatment on the root zone of the target seedling to obtain the plant after water and fertilizer regulation.

[0203] S4. The plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation are managed in a coordinated manner throughout their entire growth period to obtain the target Epimedium.

[0204] It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or computer device described above can be referred to the relevant descriptions on the server side and client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0205] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0206] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0207] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0208] Finally, it should be noted that in the above embodiments, each embodiment can be combined with each other or independent. Deleting any one of them will not affect the technical implementation of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A highly efficient, eco-friendly cultivation method for Epimedium under forest cover, characterized in that, The method includes: Phenotypic selection of Epimedium seedlings was performed to obtain target seedlings. The target seedlings were planted in a simulated forest environment, and the light energy limitation coefficient of the target seedlings in the simulated forest environment was calculated. When the light energy limitation coefficient was greater than a preset light energy limitation threshold, the target seedlings were subjected to red and blue supplemental lighting treatment to obtain plants after supplemental lighting. Calculate the rhizosphere growth-promoting bacteria colonization index of the target seedlings in the simulated forest environment. When the rhizosphere growth-promoting bacteria colonization index is less than the preset growth-promoting bacteria colonization threshold, perform targeted microbial community regulation treatment on the target seedlings to obtain plants after rhizosphere regulation. Calculate the water stress index of the target seedlings. When the water stress index is in the moderate stress range, perform alternating irrigation treatment on the root zone of the target seedlings to obtain plants after water and fertilizer regulation. The target Epimedium was obtained by synergistic management of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation throughout their entire growth period.

2. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 1, characterized in that, Calculating the light limitation coefficient of the target seedling in the simulated forest environment includes: The photosynthetically active radiation intensity in the simulated forest environment was measured, and the light energy distribution ratio and heat dissipation rate of the target seedlings were detected. The light energy dissipation index of the target seedling is calculated based on the photosynthetically active radiation intensity, the light energy distribution ratio, and the heat dissipation rate. Calculate the PSII photochemical efficiency of the target seedlings; The de-epoxygenation rate and PSII shutdown ratio of the target seedlings were detected; The light limitation coefficient of the target seedling is calculated based on the PSII photochemical efficiency, the light dissipation index, the de-epoxy oxidation rate, and the PSII shutdown ratio.

3. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 2, characterized in that... The calculation of the PSII photochemical efficiency of the target seedlings includes: Identify the functional leaves of the target seedling, wherein the functional leaves are mature leaves located in the upper part of the stem of the target seedling that are free from pests and diseases, fully expanded, and have normal leaf color; The maximum and minimum fluorescence yields under dark adaptation of the functional blades were detected. The PSII photochemical efficiency of the target seedling is calculated based on the maximum fluorescence yield and the minimum fluorescence yield under dark adaptation.

4. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 1, characterized in that... The calculation of the rhizosphere growth-promoting bacteria colonization index of the target seedlings in the simulated forest environment includes: Obtain rhizosphere soil samples of the target seedlings and identify the types of rhizosphere growth-promoting bacteria and the number of colonies corresponding to each type of rhizosphere growth-promoting bacteria in the rhizosphere soil samples. Environmental parameters of the simulated forest environment were collected, including soil pH, soil moisture content, soil organic matter content, and forest light intensity. The original planting density of rhizosphere growth-promoting bacteria in the target seedling is calculated based on the types of rhizosphere growth-promoting bacteria and the number of colonies. Based on the aforementioned environmental parameters, the pH correction coefficient, moisture content correction coefficient, organic matter correction coefficient, and light correction coefficient for the target seedlings were determined respectively. The original colonization density of the rhizosphere growth-promoting bacteria is multiplied by the pH correction coefficient, the moisture content correction coefficient, the organic matter correction coefficient, and the light correction coefficient to obtain the rhizosphere growth-promoting bacteria colonization index.

5. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 1, characterized in that... Calculating the water stress index of the target seedlings includes: The soil moisture content, electrical conductivity, and rhizosphere micro-region nutrients of the target seedlings were continuously collected at multiple time points, corresponding to time-series monitoring values. Determine the current monitoring value and preset benchmark value corresponding to each of the aforementioned time-series monitoring values ​​to calculate the initial water stress index of the target seedling; Based on the time-series monitoring values, the rate of change of water content, the rate of change of electrical conductivity, and the rate of change of nutrients of the target seedlings at multiple time points are calculated respectively. Based on the rate of change of water content, the rate of change of electrical conductivity, and the rate of change of nutrients, the stress trend correction coefficient of the target seedling is calculated; The water stress index is obtained by multiplying the initial water stress index by the stress trend correction coefficient.

6. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 1, characterized in that... When the light energy limitation coefficient is greater than the preset light energy limitation threshold, the target seedling is subjected to red and blue supplemental lighting treatment to obtain supplemented plants, including: The red light supplement intensity of the target seedling is determined according to a preset ratio based on the difference between the light energy limitation coefficient and the light energy limitation threshold. The blue light supplementation intensity of the target seedling is determined using the chlorophyll a / b ratio of the target seedling. The cumulative duration during which the light energy limitation coefficient is greater than the light energy limitation threshold is determined as the supplemental lighting duration for the target seedling; Based on the red light supplementary light intensity and the blue light supplementary light intensity, the target seedling is irradiated with supplementary light during the supplementary light duration to obtain a plant after supplementary light.

7. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 1, characterized in that, The target seedlings were subjected to targeted microbial community regulation treatment to obtain rhizosphere-regulated plants, including: Identify the types of missing rhizosphere growth-promoting bacteria in the target seedlings and determine the supplementation concentration of each type of missing rhizosphere growth-promoting bacteria; A compound microbial agent for the target seedlings is prepared based on the missing rhizosphere growth-promoting bacteria species and the supplementary concentration. The compound microbial agent is mixed with a preset carrier matrix to obtain a microbial agent mixture, and the microbial agent mixture is evenly applied into the rhizosphere soil of the target seedling; After the microbial agent mixture is applied, the rhizosphere soil is watered to obtain plants with rhizosphere regulation.

8. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 7, characterized in that... Based on the missing rhizosphere growth-promoting bacteria species and the replenishment concentration, a compound microbial agent for the target seedling is prepared, comprising: Based on the types of missing rhizosphere growth-promoting bacteria, pure strains of each type of missing rhizosphere growth-promoting bacteria were obtained. The pure bacterial strains were inoculated into their respective liquid culture media for expansion culture to obtain bacterial suspensions; According to the replenishment concentration, the various bacterial suspensions are mixed in a preset ratio to obtain a compound bacterial agent.

9. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 1, characterized in that, When the water stress index is in the moderate stress range, the target seedlings are subjected to alternating irrigation treatment in the root zone to obtain plants after water and fertilizer regulation, including: The transpiration rate of the target seedling was measured using a stem flow meter. Based on the water stress index and the transpiration rate, the first irrigation cycle and the second irrigation cycle of the target seedlings are determined, and the single irrigation amount within each irrigation cycle is determined. The root system of the target seedling is symmetrically divided into a first root zone and a second root zone along the longitudinal direction of the main root; During the first irrigation cycle, based on the single irrigation amount, the first root zone is irrigated with water and fertilizer, while the second root zone is kept dry; During the second irrigation cycle, based on the single irrigation amount, the second root zone is irrigated with water and fertilizer, while the first root zone is kept dry; When the cumulative irrigation time of alternating execution of the first irrigation cycle and the second irrigation cycle reaches the preset total irrigation time, the plant after water and fertilizer regulation is obtained.

10. The efficient, eco-friendly cultivation method for Epimedium under forest cover as described in claim 1, characterized in that, The target Epimedium was obtained by synergistic management of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation throughout their entire growth period, including: Obtain the growth stage characteristic parameters of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation during their current growth period; Based on the growth stage characteristic parameters, the regulation sequence and regulation intensity of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation are set respectively. The regulation timing and regulation intensity are encoded as a coordinated management instruction for the entire growth period of the plant after supplemental lighting, the plant after rhizosphere regulation, and the plant after water and fertilizer regulation. Based on the aforementioned coordinated management instructions for the entire growth period, coordinated management of the plants after supplemental lighting, the plants after rhizosphere regulation, and the plants after water and fertilizer regulation was carried out to obtain the target Epimedium.

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