Regeneration seedling raising method and system for crop seedlings

Abstract

The invention provides a regeneration seedling raising method and system for crop seedlings, and the method comprises the steps: extracting a balance value of growth hormone of an explant in a regeneration culture process from the combination information of a hormone receptor in the regeneration culture process of the explant, and determining a light compensation point of a target crop; performing stepped compensation on the illumination period of the target crop through the light compensation points to obtain compensation characteristics of the illumination period in the regeneration culture process; determining the adjustment interval of the seedling raising temperature of the target crop in each culture stage, and performing light-temperature coupling on the illumination intensity of the target crop according to the adjustment interval of each seedling raising temperature and the compensation characteristic of the illumination period to obtain the coupling characteristic of radiation illumination of the explant of the target crop in each culture stage; and performing staged adjustment on radiation illumination in the regeneration culture process based on each coupling characteristic. Based on the scheme, staged coupling adjustment of radiation illumination in the crop seedling culture process can be achieved.

Description

Technical Field

[0001] The present application relates to the technical field of seedling cultivation, and more specifically, to a method and system for regenerating seedlings for crop seedlings. Background Art

[0002] The technical background of crop seedlings is developing rapidly towards intelligence and precision. The deep integration of biological breeding technology with big data and artificial intelligence has promoted the transformation of breeding from "selecting the best by experience" to "selecting the best by calculation". Through technologies such as gene editing, crops can increase yields in favorable environments and maintain stable yields in adverse environments, providing new strategies for food security, and intelligent breeding technology is gradually moving towards application.

[0003] The existing crop tissue culture seedling technology has obvious regulation defects, mainly manifested as the isolation and static state of parameter regulation. Traditional methods often control temperature and light as independent variables, ignoring the synergistic effect between the two. The practice of using fixed light intensity and light cycle cannot meet the differentiated requirements of different culture stages, resulting in a mismatch between light energy supply and plant physiological needs. This extensive regulation method not only causes energy waste, but also easily leads to growth abnormalities such as callus browning and bud malformation. Therefore, how to achieve the staged coupling regulation of radiation light during the cultivation process of crop seedlings has become a difficult problem faced by the industry. Summary of the Invention

[0004] The present application provides a method and system for regenerating seedlings for crop seedlings, which can achieve the staged coupling regulation of radiation light during the cultivation process of crop seedlings.

[0005] In the first aspect, the present application provides a method for regenerating seedlings for crop seedlings. Among them, the apical meristem or lateral bud of the mother plant of the target crop is pre-selected as the explant. After disinfecting the explant, it is soaked in an activation solution containing auxin and cytokinin. After activation, the explant is inoculated into a basic medium for regeneration culture. The method includes: Collect the binding information of hormone receptors during the regeneration culture of the explant; Extract the balance value of growth hormone during the regeneration culture of the explant from the binding information, and then determine the light compensation point of the target crop based on the mapping relationship between hormone balance and light intensity in combination with the balance value of the growth hormone. Through the light compensation point and the light saturation point of the target crop, the light cycle of the target crop is compensated step by step to obtain the compensation characteristics of the light cycle during the regeneration culture; Determine the adjustment range of the seedling cultivation temperature at each cultivation stage of the target crop, and perform light-temperature coupling on the light intensity of the target crop through the adjustment range of each seedling cultivation temperature and the compensation characteristics of the light cycle to obtain the coupling characteristics of the radiation light of the explant of the target crop at each cultivation stage; Adjust the radiation light during the regeneration culture process in stages based on each coupling feature.

[0006] In some embodiments, extracting the balance value of growth hormones of the explant during the regeneration culture process from the combined information specifically includes: Obtain various growth regulating hormones of the explant during the regeneration culture process; For each growth regulating hormone, screen the hormone concentration and receptor expression level of the growth regulating hormone during the regeneration culture process from the combined information; Determine the regulation value of the growth regulating hormone through the hormone concentration and the receptor expression level, and then obtain the regulation values of various growth regulating hormones; Determine the balance value of growth hormones of the explant during the regeneration culture process according to all the regulation values.

[0007] In some embodiments, determining the light compensation point of the target crop based on the mapping relationship between hormone balance and light intensity in combination with the balance value of the growth hormone specifically includes: Collect the balance values of growth hormones of the explant under different light intensities; Fit the changes in the balance values of growth hormones of the explant under different light intensities to obtain the mapping relationship between hormone balance and light intensity; Obtain the light intensity corresponding to the balance value of the growth hormone from the mapping relationship as the light compensation point of the target crop.

[0008] In some embodiments, performing stepped compensation on the light cycle of the target crop through the light compensation point and the light saturation point of the target crop to obtain the compensation characteristics of the light cycle during the regeneration culture process specifically includes: Divide the light cycle during the regeneration culture process into multiple light stages based on the light compensation point; Determine the compensation amount of the light cycle in each light stage of the regeneration culture through the light intensity value of each light stage and the light saturation point of the target crop; Determine the compensation characteristics of the light cycle during the regeneration culture process according to all the compensation amounts.

[0009] In some embodiments, determining the adjustment range of the seedling raising temperature of the target crop in each cultivation stage specifically includes: For each cultivation stage, obtain the initial suitable temperature of the target crop in the cultivation stage; Determine the allowable fluctuation value of the seedling raising temperature based on the temperature tolerance characteristics of the target crop; Determine the adjustment range of the seedling raising temperature of the target crop in the cultivation stage through the initial suitable temperature and the allowable fluctuation value, and then obtain the adjustment ranges of the seedling raising temperatures of the target crop in each cultivation stage.

[0010] In some embodiments, the light intensity of the target crop is subjected to light-temperature coupling through the adjustment range of each seedling-raising temperature and the compensation characteristics of the light cycle, and the coupling characteristics of the radiation light of the explant of the target crop in each culture stage are obtained, which specifically include: For each culture stage, the coupling coefficients of the light cycle, seedling-raising temperature and light intensity in the culture stage are respectively determined; A joint influence model of the explant regeneration efficiency is constructed through all the coupling coefficients; The joint influence model is used to perform a joint response on the light intensity of the target crop in the culture stage, and the coupling characteristics of the radiation light of the explant of the target crop in the culture stage are obtained, and then the coupling characteristics of the radiation light of the explant of the target crop in each culture stage are obtained.

[0011] In some embodiments, the phased adjustment of the radiation light in the regeneration culture process based on each coupling characteristic specifically includes: Obtain the real-time culture stage in the regeneration culture process, and then extract the intensity cycle group of the radiation light from the coupling characteristics corresponding to the real-time culture stage; Based on the intensity cycle group, the radiation light in the regeneration culture process is adjusted in stages, and then the phased adjustment of the radiation light in the regeneration culture process is completed.

[0012] In a second aspect, the present application provides a regeneration seedling system for crop seedlings, including: A collection module for collecting the binding information of the hormone receptor of the explant in the regeneration culture process; A processing module for extracting the balance value of the growth hormone of the explant in the regeneration culture process from the binding information, and then determining the light compensation point of the target crop based on the mapping relationship between the hormone balance and the light intensity in combination with the balance value of the growth hormone, and performing a stepped compensation on the light cycle of the target crop through the light compensation point and the light saturation point of the target crop to obtain the compensation characteristics of the light cycle in the regeneration culture process; The processing module is further used to determine the adjustment range of the seedling-raising temperature of the target crop in each culture stage, and perform light-temperature coupling on the light intensity of the target crop through the adjustment range of each seedling-raising temperature and the compensation characteristics of the light cycle to obtain the coupling characteristics of the radiation light of the explant of the target crop in each culture stage; An execution module for performing phased adjustment of the radiation light in the regeneration culture process based on each coupling characteristic.

[0013] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned method for regenerating seedlings for crop seedlings.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes run on a computer, the computer is enabled to execute the above-mentioned method for regenerating seedlings for crop seedlings.

[0015] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects: In a method and system for regenerating seedlings for crop seedlings provided by the present application, binding information of a hormone receptor during the regeneration culture of an explant is collected; a balance value of a growth hormone during the regeneration culture of the explant is extracted from the binding information, and then a light compensation point of a target crop is determined based on the mapping relationship between the hormone balance and the light intensity in combination with the balance value of the growth hormone. A stepped compensation is performed on the light cycle of the target crop through the light compensation point and the light saturation point of the target crop to obtain a compensation characteristic of the light cycle during the regeneration culture; a regulation interval of the seedling raising temperature in each cultivation stage of the target crop is determined, and a light-temperature coupling is performed on the light intensity of the target crop through each regulation interval of the seedling raising temperature and the compensation characteristic of the light cycle to obtain a coupling characteristic of the radiation light of the explant of the target crop in each cultivation stage; the radiation light during the regeneration culture is regulated in stages based on each coupling characteristic.

[0016] It can be seen that in this application, the radiation light during the regeneration culture process is adjusted in stages based on various coupling characteristics; First, by determining the compensation characteristics, an optimized lighting parameter scheme for improving photosynthetic efficiency can be obtained. The light compensation point is determined based on the mapping relationship between the balance value of the growth hormone and the light intensity, that is, the lowest light intensity threshold at which photosynthesis and respiration reach equilibrium. Different lighting intensity intervals for different culture stages are divided in combination with the light saturation point, and the lighting cycle is dynamically adjusted through a stepped compensation strategy, solving the problem of energy waste or insufficient supply caused by the traditional fixed light cycle, and ensuring that the explants can obtain the optimal light environment at different culture stages; Then, by determining the coupling characteristics, the optimal environmental combination under the synergistic action of light and temperature parameters can be obtained. Through coupling regulation, not only the growth imbalance caused by the isolated optimization of light and temperature parameters in the traditional method is avoided. For example, high temperature + strong light will cause stress, and low temperature + weak light will lead to slow growth, but the culture conditions can also be dynamically adjusted according to the real-time state of the explants. Through this light-temperature synergistic optimization, the system can maximize the regeneration efficiency of the explants, reduce the rate of deformed seedlings at the same time, shorten the culture cycle, and provide a standardized regulation scheme for industrialized seedling cultivation; In summary, based on the above scheme, the staged coupling regulation of the radiation light during the cultivation process of crop seedlings can be realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 is an exemplary flowchart of a regeneration seedling method for crop seedlings shown in some embodiments of the present application; Figure 2 is a flowchart of the production of plant tissue culture shown in some embodiments of the present application; Figure 3 is a schematic flowchart of staged regulation shown in some embodiments of the present application; Figure 4 is a schematic structural diagram of a regeneration seedling system for crop seedlings shown in some embodiments of the present application; Figure 5 is a schematic structural diagram of a computer device for implementing the regeneration seedling method for crop seedlings shown in some embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In order to better understand the technical solutions of the present application, the technical solutions of the present application will be described in detail below in combination with the accompanying drawings of the specification and specific embodiments.

[0020] Reference Figure 1 , which is an exemplary flowchart of a regeneration seedling method for crop seedlings shown according to some embodiments of the present application. The regeneration seedling method for crop seedlings mainly includes the following steps: In step 101, the binding information of hormone receptors during the regeneration culture of explants is collected.

[0021] It should be noted that in the present application, the binding information represents the dynamic data of hormone-receptor interaction in explants; specifically, in implementation, first, select a healthy and disease-free mother plant of the target crop, cut its shoot tip or lateral bud as the explant material, pretreat it with 70% ethanol for dozens of seconds, then disinfect it with sodium hypochlorite solution for 5-10 minutes, and then rinse it with sterile water 3-5 times to remove the residual disinfectant to ensure that the surface of the explant is free of bacterial contamination; secondly, immerse the surface-sterilized explant in an activation solution containing appropriate concentrations of auxin and cytokinin, and control the treatment time between 2-12 hours to promote the stimulation of cell division potential and the reconstruction of endogenous hormone signals; after the activation treatment is completed, transfer the explant to a modified basal medium using aseptic inoculation operation, control the culture environment temperature at 25±2°C, and set the initial light cycle to 16 h light / 8 h dark to induce the explant to enter the regeneration process; during the regeneration culture process, detect the binding activity of hormone receptors and corresponding hormones by means of fluorescence labeling or immunoaffinity chromatography, and quantitatively collect the receptor-hormone binding dynamics in explant cells using liquid chromatography-mass spectrometry technology, so as to use the molecular-level information of the response of explants to hormones during the regeneration process as the binding information of hormone receptors during the regeneration culture of explants. This molecular-level information includes the hormone concentrations and receptor expression levels of various growth-regulating hormones.

[0022] In some embodiments, reference Figure 2 As described, this figure is a production flowchart of plant tissue culture shown according to some embodiments of the present application. First, the explant forms callus through process ① (dedifferentiation process), then the callus forms test-tube seedlings through process ② (redifferentiation process), and the test-tube seedlings become plants after transplantation. At the same time, the callus can also form embryoids, and the embryoids are wrapped with artificial seed coats and artificial endosperms through process ③ (embryoid formation) to form artificial seeds. The components of the artificial seeds are marked in the figure, including embryoids, artificial seed coats, and artificial endosperms.

[0023] In step 102, the balance value of the growth hormone of the explant during the regeneration culture is extracted from the combined information, and then the light compensation point of the target crop is determined based on the mapping relationship between the hormone balance and the light intensity in combination with the balance value of the growth hormone. The light cycle of the target crop is stepwise compensated through the light compensation point and the light saturation point of the target crop, and the compensation characteristics of the light cycle during the regeneration culture are obtained.

[0024] In some embodiments, the extraction of the balance value of the growth hormone of the explant during the regeneration culture from the combined information can be achieved by the following steps: Obtain various growth regulating hormones of the explant during the regeneration culture; For each growth regulating hormone, screen the hormone concentration and receptor expression level of the growth regulating hormone during the regeneration culture from the combined information; Determine the regulation value of the growth regulating hormone through the hormone concentration and the receptor expression level, and then obtain the regulation values of various growth regulating hormones; Determine the balance value of the growth hormone of the explant during the regeneration culture according to all the regulation values.

[0025] It should be noted that in this application, the balance value of the growth hormone represents the dynamic ratio of the biological activities of auxin and cytokinin, and this balance value of the growth hormone can determine the direction of organ differentiation; the growth regulating hormone represents the key signal molecule that regulates the plant regeneration process; the hormone concentration represents the absolute content of the hormone in the unit tissue, and this hormone concentration can reflect the chemical signal intensity; the receptor expression level represents the abundance of the hormone receptor protein in the target cell; the regulation value of the growth regulating hormone is an index that quantifies the actual biological effect intensity of the growth regulating hormone.

[0026] In specific implementation, first, obtaining various growth regulating hormones of the explant during the regeneration culture can be achieved in the following manner: obtaining various growth regulating hormones of the explant during the regeneration culture from the central control console of the seedling raising system. Among them, the growth regulating hormones in this application include indoleacetic acid (IAA) and 6-benzylaminopurine (6-BA). Secondly, for various growth regulating hormones, screening the hormone concentration and receptor expression level of the growth regulating hormones during the regeneration culture from the binding information can be achieved in the following manner: for various growth regulating hormones, screening out the hormone concentration and receptor expression level of the growth regulating hormones during the regeneration culture from the binding information. Then, determining the regulation value of the growth regulating hormone through the hormone concentration and the receptor expression level, and further obtaining the regulation values of various growth regulating hormones can be achieved in the following manner: taking the product of the hormone concentration and the receptor expression level as the regulation value of the growth regulating hormone. Through the above method, the regulation values of various growth regulating hormones can be obtained. Finally, determining the balance value of the growth hormone of the explant during the regeneration culture according to all the regulation values can be achieved in the following manner: taking the ratio of the regulation value of indoleacetic acid to the regulation value of 6-benzylaminopurine as the balance value of the growth hormone of the explant during the regeneration culture.

[0027] It should be noted that in this application, by quantifying the hormone-receptor interaction effect (hormone concentration × receptor expression level), the regulation values of auxin (IAA) and cytokinin (6-BA) are dynamically calculated, and based on the ratio of the two, the hormone balance state of the explant is accurately characterized. The biological effect of the hormone is determined by the number of ligand-receptor complexes. The ratio of the IAA / 6-BA regulation value is used as the balance value of the growth hormone to directly regulate the organogenesis direction (when the balance value of the growth hormone > 1, it promotes root growth; when the balance value of the growth hormone < 1, it promotes bud growth). Through the mapping relationship between the light and temperature parameters and the balance value of the growth hormone, the closed-loop optimization of the regeneration culture environment is realized. This method establishes a regulatory chain from multiple scales of molecule (receptor)-physiology (hormone)-environment (light and temperature), providing a quantifiable dynamic control benchmark for plant in vitro regeneration.

[0028] In some embodiments, determining the light compensation point of the target crop based on the mapping relationship between the hormone balance and the light intensity in combination with the balance value of the growth hormone can be achieved by the following steps: Collect the balance values of the growth hormone of the explant under different light intensities; Fit the changes in the balance values of the growth hormone of the explant under different light intensities to obtain the mapping relationship between the hormone balance and the light intensity; Obtain the light intensity corresponding to the balance value of the growth hormone from the mapping relationship as the light compensation point of the target crop.

[0029] It should be noted that in this application, the light compensation point represents the minimum light intensity threshold when the photosynthesis and respiration of plants reach equilibrium, and this light compensation point can determine the energy balance point; specifically, when implemented, first, the equilibrium value of the growth hormone of the explant under different light intensities can be collected in the following way, that is: every 10 μmol·m -2 ·s -1 The light intensity of 0 - 200 μmol·m -2 ·s -1 is divided into multiple light intensity intervals, and the equilibrium value of the growth hormone of the explant under different light intensity intervals is measured using ultra-high performance liquid chromatography-tandem mass spectrometry; then, the change in the equilibrium value of the growth hormone of the explant under different light intensities is fitted to obtain the mapping relationship between the hormone balance and the light intensity, which can be achieved in the following way, that is: using the trust region theory fitting algorithm of the nonlinear least squares method (for example: the TRM method) to fit the change in the equilibrium value of the growth hormone of the explant under different light intensities, and taking the relationship between the fitted equilibrium value of the growth hormone and the light intensity interval as the mapping relationship between the hormone balance and the light intensity. This mapping relationship represents the quantitative correspondence law between the equilibrium value of the growth hormone and the light intensity, and this mapping relationship can be used to establish a light environment regulation model; finally, the light intensity corresponding to the equilibrium value of the growth hormone is obtained from the mapping relationship as the light compensation point of the target crop, which can be achieved in the following way, that is: taking the median of the light intensity interval corresponding to the equilibrium value of the growth hormone from the mapping relationship as the light compensation point of the target crop.

[0030] In some embodiments, the light cycle of the target crop is stepwise compensated through the light compensation point and the light saturation point of the target crop to obtain the compensation characteristics of the light cycle during the regeneration culture process, which can be achieved by the following steps: Based on the light compensation point, the light cycle during the regeneration culture process is divided into multiple light stages; The compensation amount of the light cycle in each light stage of the regeneration culture is determined by the light intensity value of each light stage and the light saturation point of the target crop; The compensation characteristics of the light cycle during the regeneration culture process are determined according to all the compensation amounts.

[0031] It should be noted that in this application, the compensation feature is an optimized lighting parameter solution for improving photosynthetic efficiency; the lighting stage is a regeneration culture cycle for achieving precise light regulation; the compensation amount of the lighting cycle represents the value of the lighting intensity that needs to be increased or decreased to maintain optimal growth, and this compensation amount can be used to ensure the balance of energy supply; the light saturation point represents the lowest lighting intensity threshold when the photosynthetic rate reaches the maximum. The light saturation point of the target crop can be determined by the photosynthesis-light response curve in the following way, that is: use a photosynthesis measuring instrument to set gradient light intensities in the range of 0 - 2000 μmol·m⁻²·s⁻¹, measure the net photosynthetic rate of the leaves at each lighting intensity, and when the net photosynthetic rate increases to a plateau (change rate < 5%) with the increase of light intensity, the corresponding lowest light intensity is the light saturation point.

[0032] When specifically implemented, first, dividing the lighting cycle in the regeneration culture process into multiple lighting stages based on the light compensation point can be achieved in the following way, that is: taking 50%, 100%, and 150% of the light compensation point as the lighting cycle in the regeneration culture process is divided into 3 lighting stages, and each lighting stage lasts for 3 - 7 days; then, determining the compensation amount of the lighting cycle in each lighting stage of the regeneration culture through the lighting intensity value of each lighting stage and the light saturation point of the target crop can be achieved in the following way, that is: for each lighting stage, initialize a compensation model based on a non-rectangular hyperbola, take the lighting intensity value of the lighting stage as the independent variable in this compensation model, take the light saturation point of the target crop as the saturation threshold in this compensation model, use this compensation model to evaluate the interference of the lighting cycle in the lighting stage, and take the result of the interference evaluation as the compensation amount of the lighting cycle in the lighting stage. Through the above method, the compensation amount of the lighting cycle in each lighting stage of the regeneration culture can be obtained; finally, determining the compensation feature of the lighting cycle in the regeneration culture process based on all the compensation amounts can be achieved in the following way, that is: taking the set of all compensation amounts as the compensation feature of the lighting cycle in the regeneration culture process.

[0033] It should be noted that in this application, the compensation model is a mathematical model constructed based on the non-rectangular hyperbola function, which quantifies the non-linear relationship between lighting intensity and plant photosynthetic response through mathematical modeling. This compensation model uses the measured light saturation point as the saturation threshold parameter, takes the light intensity values of each lighting stage as the independent variable input, and calculates the theoretical photosynthetic efficiency through the functional relationship. When the actual light intensity is lower than the light saturation point, the model dynamically evaluates the degree of lighting cycle interference by comparing the difference between the theoretical photosynthetic demand and the actual light energy supply. The finally output compensation amount is the extension amount of the lighting time or the increment of the lighting intensity required to make the cumulative light energy reach photosynthetic saturation. This model breaks through the transformation of plant light physiological characteristics into computable regulation parameters, realizes the closed-loop control from biological threshold to engineering compensation, and provides a quantitative decision-making basis for stepped light compensation.

[0034] In step 103, determine the adjustment range of the seedling-raising temperature of the target crop in each cultivation stage, and perform light-temperature coupling on the light intensity of the target crop through the adjustment range of each seedling-raising temperature and the compensation characteristics of the light cycle, so as to obtain the coupling characteristics of the irradiated light of the explant of the target crop in each cultivation stage.

[0035] In some embodiments, the determination of the adjustment range of the seedling-raising temperature of the target crop in each cultivation stage can be implemented by the following steps: For each cultivation stage, obtain the initial suitable temperature of the target crop in the cultivation stage; Determine the allowable fluctuation value of the seedling-raising temperature based on the temperature tolerance characteristics of the target crop; Determine the adjustment range of the seedling-raising temperature of the target crop in the cultivation stage through the initial suitable temperature and the allowable fluctuation value, and then obtain the adjustment range of the seedling-raising temperature of the target crop in each cultivation stage.

[0036] It should be noted that in this application, the adjustment range represents the safe regulation range of the seedling-raising temperature in a specific cultivation stage, and this adjustment range can be used to ensure the normal growth of the explant; the initial suitable temperature represents the best starting temperature reference value for each cultivation stage; the allowable fluctuation value represents the maximum amplitude by which the seedling-raising temperature can deviate from the initial suitable value, and this allowable fluctuation value can be used to maintain growth stability.

[0037] In specific implementation, first, for each cultivation stage, the initial suitable temperature of the target crop in the cultivation stage can be obtained in the following way, that is: for each cultivation stage, obtain the initial suitable temperature of the target crop in the cultivation stage from the central control console of the seedling raising system; then, the allowable fluctuation value of the seedling raising temperature can be determined based on the temperature tolerance characteristics of the target crop in the following way, that is: determine the upper and lower temperature limits of the explant through stress experiments as the temperature tolerance characteristics of the target crop, where the lower low temperature limit is the lowest temperature that inhibits growth, for example: the callus stage stops proliferating when <18°C, and the upper high temperature limit is the highest temperature that causes heat stress, for example: the differentiation stage has malformed buds when >28°C. Thus, half of the difference between the upper high temperature limit and the lower low temperature limit can be used as the allowable fluctuation value of the seedling raising temperature. In other embodiments, it can also be adjusted according to the sensitivity of the treatment stage (for example: the rooting stage is temperature-sensitive, and the allowable fluctuation value is reduced to 1°C), which is not limited here; finally, the adjustment range of the seedling raising temperature of the target crop in the cultivation stage can be determined through the initial suitable temperature and the allowable fluctuation value, and further the adjustment range of the seedling raising temperature of the target crop in each cultivation stage can be obtained in the following way, that is: take the difference between the initial suitable temperature and the allowable fluctuation value as the lower temperature adjustment limit, and take the sum of the initial suitable temperature and the allowable fluctuation value as the upper temperature adjustment limit. Thus, the temperature range between the lower temperature adjustment limit and the upper temperature adjustment limit is used as the adjustment range of the seedling raising temperature of the target crop in the cultivation stage. Through the above method, the adjustment range of the seedling raising temperature of the target crop in each cultivation stage can be obtained.

[0038] In some embodiments, the light intensity of the target crop can be coupled with light and temperature through the adjustment range of each seedling raising temperature and the compensation characteristics of the light cycle, and the coupled characteristics of the radiation light of the explant of the target crop in each cultivation stage can be obtained by the following steps: For each cultivation stage, respectively determine the coupling coefficients of the light cycle, seedling raising temperature and light intensity in the cultivation stage; Construct a joint influence model of the regeneration efficiency of the explant through all the coupling coefficients; Use the joint influence model to perform a joint response on the light intensity of the target crop in the cultivation stage to obtain the coupled characteristics of the radiation light of the explant of the target crop in the cultivation stage, and further obtain the coupled characteristics of the radiation light of the explant of the target crop in each cultivation stage.

[0039] It should be noted that in this application, the coupling feature represents the optimal environmental combination under the synergistic effect of light and temperature parameters; the coupling coefficient represents the influence weights of the light cycle, seedling raising temperature, and light intensity on the regeneration efficiency in each cultivation stage; the joint influence model is a response surface model constructed based on the random forest algorithm, which quantifies the synergistic effect of light and temperature parameters on the regeneration efficiency through ensemble learning. The joint influence model uses the coupling coefficients of the light cycle, seedling raising temperature, and light intensity as the core regression terms, and uses a group of decision trees to perform non-linear fitting on the multi-dimensional parameter space. By sorting the feature importance, the contribution weights of each factor are analyzed. The coefficient of determination R²≥0.85 is set to ensure the explanatory power of the model, and the leave-one-out cross-validation (error < 15%) is combined to prevent overfitting. The Bootstrap sampling is used to construct heterogeneous subtrees to capture the interaction of light and temperature parameters; the node splitting is optimized through the Out-of-Bag error estimation to accurately map the complex response surface of the cultivation conditions and the regeneration efficiency; the output probability prediction supports the search for the Pareto optimal solution, providing a quantitative decision-making surface for multi-objective (efficiency / energy consumption) optimization. This model breaks through the limitations of traditional linear regression and realizes the interpretable modeling of high-dimensional non-linear relationships.

[0040] When specifically implemented, first, for each cultivation stage, the coupling coefficients of the light cycle, seedling raising temperature, and light intensity in the cultivation stage can be determined respectively by the following method, that is: using the L9 orthogonal table of the three-factor three-level orthogonal experiment design, where the three factors are the light cycle, seedling raising temperature, and light intensity, and each factor is set with 3 gradients. The light cycle is 8 / 12 / 16h, the seedling raising temperature is 20 / 23 / 26°C, and the light intensity is 50 / 100 / 150 μmol·m -2 ·s -1, use the L9 orthogonal array to design the culture experiment, calculate the regeneration efficiency indexes of each gradient combination in the culture stage of the culture experiment. Among them, the regeneration efficiency indexes are callus rate (callus stage), number of bud differentiations (differentiation stage), root length / number of roots (rooting stage), so as to calculate the standardized regression coefficients of each factor in the three factors using the multiple linear regression algorithm as the coupling coefficients of light cycle, seedling raising temperature and light intensity in the culture stage respectively; then, the joint influence model of explant regeneration efficiency can be constructed by all the coupling coefficients in the following way, that is: initialize a response surface model based on random forest, take the coupling coefficients of light cycle, seedling raising temperature and light intensity in the culture stage as the regression terms in the response surface model, set the coefficient of determination to 0.85, and the leave-one-out cross-validation error is less than 15%, so as to take the constructed response surface model as the joint influence model of explant regeneration efficiency; finally, use the joint influence model to make a joint response to the light intensity of the target crop in the culture stage, obtain the coupling characteristics of the radiation light of the explant of the target crop in the culture stage, and then obtain the coupling characteristics of the radiation light of the explant of the target crop in each culture stage in the following way, that is: use the joint influence model to make a joint response to the light intensity of the target crop in the culture stage, so that the combined result of the joint response is used as the coupling characteristics of the radiation light of the explant of the target crop in the culture stage, and the coupling characteristics of the radiation light of the explant of the target crop in each culture stage can be obtained through the above method.

[0041] In step 104, the radiation light in the regeneration culture process is adjusted in stages based on each coupling characteristic.

[0042] In some embodiments, the radiation light in the regeneration culture process is adjusted in stages based on each coupling characteristic. Refer to Figure 3 As described, this figure is a schematic flow chart of stage adjustment in some embodiments of the present application. The stage adjustment in this embodiment can be implemented by the following steps: In step 1041, obtain the real-time culture stage in the regeneration culture process, and then extract the intensity cycle group of the radiation light from the coupling characteristics corresponding to the real-time culture stage; In step 1042, adjust the radiation light in the regeneration culture process in stages based on the intensity cycle group, and then complete the stage adjustment of the radiation light in the regeneration culture process.

[0043] In specific implementation, first, obtain the real-time culture stage during the regeneration culture process, and then extract the intensity period group of the radiation light from the coupling features corresponding to the real-time culture stage. This can be achieved in the following way: Obtain the real-time culture stage during the regeneration culture process, and use the combination of the light intensity and the light cycle in the coupling features corresponding to the real-time culture stage as the intensity period group of the radiation light. This intensity period group represents the synergistic action unit of the light intensity and the light time. Then, perform stage adjustment on the radiation light during the regeneration culture process based on the intensity period group, and further complete the staged adjustment of the radiation light during the regeneration culture process. This can be achieved in the following way: Use the light intensity in the intensity period group as the intensity of the radiation light in the real-time culture stage, and set the maintenance period as the light cycle in the intensity period group. Repeat the above steps during the regeneration culture process to complete the staged adjustment of the radiation light during the regeneration culture process.

[0044] In addition, on the other hand of the present application, in some embodiments, the present application provides a regeneration seedling system for crop seedlings. Refer to Figure 4 , which is a schematic structural diagram of the regeneration seedling system for crop seedlings shown in some embodiments of the present application. The regeneration seedling system for crop seedlings includes: a collection module 201, a processing module 202, and an execution module 203, which are described as follows: Collection module 201: In the present application, the collection module 201 is mainly used to collect the binding information of the hormone receptor during the regeneration culture of the explant. Processing module 202: In the present application, the processing module 202 is used to extract the balance value of the growth hormone of the explant during the regeneration culture process from the binding information, and then determine the light compensation point of the target crop based on the mapping relationship between the hormone balance and the light intensity in combination with the balance value of the growth hormone. Perform stepped compensation on the light cycle of the target crop through the light compensation point and the light saturation point of the target crop to obtain the compensation characteristics of the light cycle during the regeneration culture process. It should be noted that the processing module 202 is also used to determine the adjustment interval of the seedling raising temperature in each culture stage of the target crop, and perform light-temperature coupling on the light intensity of the target crop through the adjustment interval of each seedling raising temperature and the compensation characteristics of the light cycle to obtain the coupling characteristics of the radiation light of the explant of the target crop in each culture stage. Execution module 203: In the present application, the execution module 203 is mainly used to perform staged adjustment on the radiation light during the regeneration culture process based on each coupling characteristic.

[0045] The above text details the examples of the regeneration seedling method and system for crop seedlings provided by the embodiments of the present application. It can be understood that, in order to implement the above functions, the corresponding device includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, combining the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0046] In some embodiments, the present application further provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned regeneration seedling method for crop seedlings.

[0047] In some embodiments, referring to Figure 5 , the dotted line in this figure indicates that the unit or the module is optional. This figure is a schematic structural diagram of a computer device for implementing the regeneration seedling method for crop seedlings provided by the embodiments of the present application. The above-mentioned regeneration seedling method for crop seedlings can be implemented by Figure 5 the computer device shown. The computer device includes at least one processor 301, a memory 302, and at least one communication unit 305. The computer device can be a terminal device, a server, or a chip.

[0048] The processor 301 can be a general-purpose processor or a dedicated processor. For example, the processor 301 can be a central processing unit (CPU). The CPU can be used to control the computer device, execute software programs, and process the data of software programs. The computer device can also include a communication unit 305 for realizing the input (receiving) and output (sending) of signals.

[0049] For example, the computer device can be a chip, and the communication unit 305 can be the input and / or output circuit of the chip. Or, the communication unit 305 can be the communication interface of the chip. The chip can be a component of a terminal device, a network device, or other devices.

[0050] Again, for example, the computer device can be a terminal device or a server, and the communication unit 305 can be the transceiver of the terminal device or the server. Or, the communication unit 305 can be the transceiver circuit of the terminal device or the server.

[0051] The computer device may include one or more memories 302, on which there is a program 304 that can be run by a processor 301 to generate instructions 303, enabling the processor 301 to execute the methods described in the above method embodiments according to the instructions 303. Optionally, data (such as a target audit model) may also be stored in the memory 302. Optionally, the processor 301 may also read the data stored in the memory 302, and this data may be stored at the same storage address as the program 304, or it may be stored at a different storage address from the program 304.

[0052] The processor 301 and the memory 302 may be provided separately or integrated together. For example, they may be integrated on a system on chip (SOC) of a terminal device.

[0053] It should be understood that each step of the above method embodiments can be completed by a logical circuit in hardware form or instructions in software form in the processor 301. The processor 301 may be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices. For example, discrete gate, transistor logic devices, or discrete hardware components.

[0054] Those skilled in the art should understand that the embodiments of the present application may be provided as a method, a system, or a computer program product. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0055] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or code are stored. When the instructions or code run on a computer, the computer is enabled to execute the above-mentioned method for regenerating seedlings for crop seedlings.

[0056] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0057] Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, this application is also intended to cover these changes and modifications.

Claims

1. A method for regenerating seedlings for crop seedlings, wherein, Pre-select the shoot tip or lateral bud of the mother plant of the target crop as the explant. After disinfecting the explant, soak it in an activation solution containing auxin and cytokinin. After activation, inoculate the explant into the basal medium for regeneration culture. It is characterized in that the method comprises the following steps: Collect the binding information of hormone receptors during the regeneration culture of the explant; Extract the balance value of growth hormone during the regeneration culture of the explant from the binding information, and then determine the light compensation point of the target crop based on the mapping relationship between hormone balance and light intensity in combination with the balance value of the growth hormone. Perform step-by-step compensation on the light cycle of the target crop through the light compensation point and the light saturation point of the target crop to obtain the compensation characteristics of the light cycle during the regeneration culture; Determine the adjustment range of the seedling raising temperature at each culture stage of the target crop, and perform light-temperature coupling on the light intensity of the target crop through the adjustment range of each seedling raising temperature and the compensation characteristics of the light cycle to obtain the coupling characteristics of the radiation light of the explant of the target crop at each culture stage; Perform stage-by-stage adjustment on the radiation light during the regeneration culture based on each coupling characteristic.

2. The method according to claim 1, characterized in that, Extracting the balance value of growth hormone during the regeneration culture of the explant from the binding information specifically includes: Obtain various growth regulating hormones during the regeneration culture of the explant; For each growth regulating hormone, screen the hormone concentration and receptor expression level of the growth regulating hormone during the regeneration culture from the binding information; Determine the regulation value of the growth regulating hormone through the hormone concentration and the receptor expression level, and then obtain the regulation values of various growth regulating hormones; Determine the balance value of growth hormone during the regeneration culture of the explant according to all the regulation values.

3. The method according to claim 1, characterized in that Determining the light compensation point of the target crop based on the mapping relationship between hormone balance and light intensity in combination with the balance value of the growth hormone specifically includes: Collect the balance values of growth hormone of the explant under different light intensities; Fit the changes in the balance values of growth hormone of the explant under different light intensities to obtain the mapping relationship between hormone balance and light intensity; Obtain the light intensity corresponding to the balance value of the growth hormone from the mapping relationship as the light compensation point of the target crop.

4. The method according to claim 1, wherein Performing step-by-step compensation on the light cycle of the target crop through the light compensation point and the light saturation point of the target crop to obtain the compensation characteristics of the light cycle during the regeneration culture specifically includes: Divide the light cycle during the regeneration culture into multiple light stages based on the light compensation point; Determine the compensation amount of the light cycle in each light stage of the regeneration culture through the light intensity value of each light stage and the light saturation point of the target crop; Determine the compensation characteristics of the light cycle during the regeneration culture according to all the compensation amounts.

5. The method according to claim 1, characterized in that, Determining the adjustment range of the seedling raising temperature at each culture stage of the target crop specifically includes: For each culture stage, obtain the initial suitable temperature of the target crop during the culture stage; Determine the allowable fluctuation value of the seedling raising temperature based on the temperature tolerance characteristics of the target crop; Determine the adjustment range of the seedling raising temperature of the target crop during the cultivation stage based on the initial suitable temperature and the allowable fluctuation value, and then obtain the adjustment ranges of the seedling raising temperature of the target crop in each cultivation stage.

6. The method according to claim 1, wherein Perform light-temperature coupling on the light intensity of the target crop through the adjustment ranges of each seedling raising temperature and the compensation characteristics of the light cycle, and the coupling characteristics of the radiation light of the explant of the target crop in each cultivation stage specifically include: For each cultivation stage, respectively determine the coupling coefficients of the light cycle, seedling raising temperature and light intensity in the cultivation stage; Construct a joint influence model of the regeneration efficiency of the explant through all the coupling coefficients; Use the joint influence model to perform a joint response on the light intensity of the target crop in the cultivation stage to obtain the coupling characteristics of the radiation light of the explant of the target crop in the cultivation stage, and then obtain the coupling characteristics of the radiation light of the explant of the target crop in each cultivation stage.

7. The method according to claim 1, wherein The phased adjustment of the radiation light during the regeneration culture process based on each coupling characteristic specifically includes: Obtain the real-time cultivation stage during the regeneration culture process, and then extract the intensity cycle group of the radiation light from the coupling characteristics corresponding to the real-time cultivation stage; Perform stage adjustment on the radiation light during the regeneration culture process based on the intensity cycle group, and then complete the phased adjustment of the radiation light during the regeneration culture process.

8. A regeneration seedling system for crop seedlings, characterized in that, Including: A collection module for collecting the binding information of the hormone receptor of the explant during the regeneration culture process; A processing module for extracting the balance value of the growth hormone of the explant during the regeneration culture process from the binding information, and then determining the light compensation point of the target crop based on the mapping relationship between the hormone balance and the light intensity in combination with the balance value of the growth hormone, and performing a stepped compensation on the light cycle of the target crop through the light compensation point and the light saturation point of the target crop to obtain the compensation characteristics of the light cycle during the regeneration culture process; The processing module is further configured to determine the adjustment range of the seedling raising temperature of the target crop in each cultivation stage, and perform light-temperature coupling on the light intensity of the target crop through the adjustment ranges of each seedling raising temperature and the compensation characteristics of the light cycle to obtain the coupling characteristics of the radiation light of the explant of the target crop in each cultivation stage; An execution module for performing phased adjustment on the radiation light during the regeneration culture process based on each coupling characteristic.

9. A computer device, characterized in that, The computer device includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the regeneration seedling raising method for crop seedlings according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Instructions or codes are stored in the computer-readable storage medium. When the instructions or codes are run on a computer, the computer is caused to execute the regeneration seedling raising method for crop seedlings according to any one of claims 1 to 7.

Images