Identification and grading method of salt-alkali tolerance of crops during germination period

Abstract

The invention discloses an identification and grading method for salt-alkali tolerance of crops during germination period, and relates to the technical field of crop planting. In order to solve the problem in the prior art that due to different conditions of saline-alkali land in different regions, different crops or different varieties of the same crop have different tolerance to salt and alkali, and lack of unified and standard identification process and grading standard; through standardized seed treatment, seedbed construction, and seed sowing steps, the uniformity and controllability of experimental conditions are ensured, the errors caused by experimental operation differences are reduced, and the accuracy and repeatability of experimental results are improved. By preparing salt-alkali mixed solutions of different concentrations, saline-alkali soil environments of different degrees can be accurately simulated, providing a reliable basis for evaluating the salt-alkali tolerance of crop seeds, and comparing different concentrations of salt-alkali stress under the same experimental conditions to evaluate the salt-alkali tolerance level of crop seeds, it is suitable for the salt-alkali tolerance evaluation of most crop seeds.

Description

Technical Field

[0001] The invention relates to the technical field of crop planting, and in particular to an identification and grading method for salt-alkali tolerance of crops during germination period. Background Art

[0002] As a country with a large number of saline-alkali lands, my country has a wide distribution of saline-alkali lands, and the problem of salinization is becoming increasingly serious. Therefore, researching and developing salt-alkali tolerant crop varieties is of great significance for increasing crop yields and ensuring food security. Regarding the identification of salt-alkali tolerance of crops, a patent application with publication number: CN112273087A discloses a method for identifying soybean salt-alkali tolerance, and the steps of the identification method are as follows: (i) collecting saline-alkali soil samples and determining their salt-alkali content and pH value, and preparing a saline-alkali mixed solution; (ii) using the culture dish method to screen soybeans for salt-alkali stress tolerance at the budding stage, and selecting high salt-alkali tolerance and salt-alkali tolerance soybeans at the budding stage; (iii) using the culture bag method to screen soybeans for salt-alkali stress tolerance at the seedling stage, and selecting high salt-alkali tolerance and salt-alkali tolerance soybeans at the seedling stage; (iv) using the potted method to screen soybeans for salt-alkali stress tolerance during the entire growth period, and finally identifying the salt-alkali tolerance level of soybeans according to the measured indicators.

[0003] Although the above patent can realize the identification of soybean salt-alkali tolerance level, there are still the following problems:

[0004] In the existing technology, due to the different saline-alkali conditions in different regions, different crops or different varieties of the same crop have different tolerance to salt and alkali, there is a lack of unified and standard identification processes and grading standards, which cannot meet the needs of rapid screening of large amounts of germplasm resources. Summary of the invention

[0005] The purpose of the present invention is to provide an identification and grading method for the salt-alkali tolerance of crops during the germination period. By preparing salt-alkali mixed solutions of different concentrations, saline-alkali soil environments of different degrees can be accurately simulated, providing a reliable basis for evaluating the salt-alkali tolerance of crop seeds and a reference for breeding and planting decisions. The method is suitable for the salt-alkali tolerance evaluation of most crop seeds to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The identification and grading method of salt-alkali tolerance of crops during germination period comprises the following steps:

[0008] S1: Crop cultivation: Select the tested crop seeds of different germplasms, including seeds of different qualities or germplasms, prepare the crop germination seedling bed, and lay sterile gauze on each seedling bed to form a number of sowing cells, and evenly sow the tested crop seeds of different germplasms into the corresponding sowing cells;

[0009] S2: Formulate the test plan: formulate a planting plan according to the characteristics of the selected crop seeds to be tested, and set up at least one control group. Use pure water solution as the control group to simulate the normal growth environment without salt-alkali stress, so as to compare the effects of different concentrations of salt-alkali stress on crop germination. At the same time, set up no less than two concentration gradients of salt-alkali mixed solutions as experimental groups, divide the sowing cells into zones, set different stress gradients for each zone, and set different concentrations of salt-alkali mixed solutions for each zone to ensure that each zone can form an independent salt-alkali stress environment;

[0010] S3: Salt-alkali stress treatment: a salt-alkali mixed solution is prepared according to a predetermined concentration gradient, and an equal amount of the prepared salt-alkali mixed solution is added to the corresponding partition of the sowing cell according to the concentration gradient of the salt-alkali mixed solution, and the salt-alkali mixed solution prepared based on different concentration gradients is directly soaked in the seeds for germination, so that the seeds are placed in a simulated saline-alkali environment, and the sown seedbed is placed under temperature, light and humidity conditions that meet the growth conditions of the tested crop seeds for cultivation;

[0011] S4: Data collection and analysis: Regularly observe and record the germination of seeds, and analyze the germination of the seeds obtained to compare the differences in germination and growth performance of crops under different germplasms and different salinity concentrations;

[0012] S5: Salt-alkali tolerance assessment: A comprehensive assessment is conducted based on the comparison results of the germination conditions and growth performance differences of the tested crop seeds, and the salt-alkali tolerance of the crops is divided into four levels based on the assessment results, namely high tolerance, tolerance, medium tolerance, and sensitive; among them, crops with high tolerance level show higher germination rate and good growth conditions in saline-alkali environment, while crops with sensitive level show lower germination rate and poor growth conditions.

[0013] Furthermore, the crop cultivation specifically includes:

[0014] S101: Seed treatment: Select representative, high-quality and genetically clear crop seeds of different germplasms to ensure the purity and vitality of the seeds. After surface disinfection, soak the selected crop seeds in distilled water at room temperature for 24 hours;

[0015] S102: Seedbed construction: Build a standardized seedbed for crop germination, and evenly divide the seedbed into multiple sowing cells, with isolation zones set between each cell to prevent cross contamination;

[0016] S103: Seed sowing: Sow the soaked crop seeds to be tested evenly in the corresponding sowing cells according to different germplasms, and ensure that the seed quantity, sowing depth and seed quality in each cell are consistent.

[0017] Furthermore, in S2, at least two saline-alkali mixed solutions with concentration gradients are set as experimental groups, specifically including:

[0018] Determine the number of concentration gradients and concentration thresholds of the saline-alkali mixed solution, wherein each concentration gradient is set to be no less than two;

[0019] On the seedbed, the area of ​​the sowing cells is divided into corresponding partitions using partitions according to the number of concentration gradients, each partition corresponds to a stress gradient, and the area of ​​each stress gradient is equal;

[0020] Each partition includes seeds of different germplasms of crops to be tested.

[0021] Furthermore, the saline-alkali stress treatment further includes treating the germinated seeds:

[0022] Using pure water to germinate the seeds of the crop to be tested, and evenly sowing the germinated seeds in the sowing cells;

[0023] According to the predetermined stress gradient, saline-alkali mixed solutions with different concentration gradients are added to the sowing cells to ensure that the solution evenly covers the germinating roots of the seeds to simulate the saline-alkali soil environment;

[0024] The seedbed treated with saline-alkali stress was placed in an artificial climate box for cultivation. The temperature of the artificial climate box was set at 25°C, the relative humidity was 60%, and the light time was 12 hours / day.

[0025] Further, the process of setting the temperature of the artificial climate box includes:

[0026] Real-time monitoring of the external ambient temperature of the artificial temperature chamber;

[0027] Extract the thermal conductivity of the box material of the artificial temperature box;

[0028] Obtaining a temperature compensation coefficient of the artificial climate box according to the external ambient temperature of the artificial climate box and the thermal conductivity of the box material of the artificial climate box;

[0029] The temperature compensation coefficient of the artificial climate chamber is obtained by the following formula:

[0030]

[0031] Among them, C t represents the temperature compensation coefficient of the artificial climate box; α represents the adjustment factor, and the value range of the adjustment factor is 0.04-0.17; β represents the index of sensitivity of the material reaction to temperature change obtained through the previous experiment; n represents the number of temperature control times of the artificial climate box; k represents the thermal conductivity of the box material of the artificial temperature box; W mIndicates the target temperature value; W i represents the external environment temperature corresponding to the i-th temperature control; A represents the surface area of ​​the artificial climate box; d represents the thickness of the artificial climate box; c p It represents the specific heat capacity of the air inside the artificial climate chamber;

[0032] Comparing the temperature compensation coefficient of the artificial climate chamber with a preset compensation coefficient threshold of the current artificial climate chamber in real time;

[0033] When the temperature compensation coefficient of the artificial climate chamber exceeds the preset compensation coefficient threshold of the current artificial climate chamber, the artificial climate chamber is adjusted.

[0034] Furthermore, when the temperature compensation coefficient of the artificial climate box exceeds a preset compensation coefficient threshold, the artificial climate box is adjusted, including:

[0035] When the temperature compensation coefficient of the artificial climate box exceeds the preset compensation coefficient threshold of the current artificial climate box, the control time corresponding to the temperature control of the current artificial climate box is retrieved;

[0036] The adjustment coefficient is obtained by using the adjustment time corresponding to the temperature adjustment of the current artificial climate box; wherein the adjustment coefficient is obtained by the following formula:

[0037]

[0038] Where, t represents the adjustment coefficient; T c Indicates the preset reference value of the control time; T max represents the maximum value of the artificial climate box's control time; W represents the external environment temperature value corresponding to the maximum value of the artificial climate box's control time; n represents the number of temperature controls of the artificial climate box; W ci represents the temperature control amplitude value corresponding to the i-th temperature control; W m represents the target temperature value, which is 25°C; T i Indicates the control time corresponding to the i-th temperature control;

[0039] Obtaining a comprehensive compensation coefficient using the adjustment coefficient and the temperature compensation coefficient of the artificial climate chamber;

[0040] The comprehensive compensation coefficient is obtained by the following formula:

[0041]

[0042] Among them, U represents the comprehensive compensation coefficient; C t represents the temperature compensation coefficient of the artificial climate chamber; t represents the adjustment coefficient;

[0043] The power of the heating or cooling device of the artificial climate chamber is compensated and adjusted by using the comprehensive compensation coefficient to obtain the output power of the heating or cooling device after adjustment; wherein the output power of the heating or cooling device after adjustment is obtained by the following formula:

[0044]

[0045] Among them, P t It represents the output power of the heating or cooling equipment after adjustment; P represents the output power of the heating or cooling equipment before adjustment; U represents the comprehensive compensation coefficient.

[0046] Furthermore, the data collection and analysis specifically includes:

[0047] Determine the data collection cycle based on the seedling raising time and growth habits of the crop seeds to be tested;

[0048] Record the germination rate, germination time and seedling growth status data of the crop seeds to be tested in each area, and generate a growth report of the crop seeds to be tested;

[0049] The germination rate, germination time and seedling growth status data of the tested crop seeds of different germplasms obtained from the same area were compared to determine the differences in germination and growth performance between the tested crop seeds of different germplasms.

[0050] Furthermore, the germination rate is the percentage of germinated seeds in each area to the total number of seeds, the germination time is the time required from sowing to the germination of the first batch of seeds, the seedling growth status includes the height, number of leaves, leaf color, root length and health status of the seedlings, and a camera is used to take photos to record the morphological changes of the crop seeds to be tested.

[0051] Furthermore, the salt and alkali resistance assessment specifically includes:

[0052] Evaluation index calculation: The seed germination potential and germination index are calculated based on the germination rate and germination time of the tested crop seeds. The calculation formulas for the seed germination potential and germination index are as follows:

[0053]

[0054] In the formula, It is expressed as seed germination potential; It is expressed as the number of seeds germinated during the peak germination period; It is expressed as the total number of seeds; It is expressed as germination index; It is expressed as germination rate; It is expressed as the mean germination time;

[0055] Determination of weight value: Calculate the weight value of each index according to the contribution rate of the two indicators of seed germination potential and germination index, convert the comprehensive index into numerical value according to the weight of each index, and add the weighted values ​​of each index to generate the comprehensive evaluation value of salt-alkali tolerance under salt-alkali stress conditions;

[0056] Salt-alkali tolerance grade classification: The salt-alkali tolerance grade of the crop seeds is obtained by comparing the obtained comprehensive evaluation value with the preset salt-alkali tolerance assessment threshold.

[0057] Furthermore, the salt-alkaline tolerance grade of the crop seeds is obtained, specifically:

[0058] The comprehensive evaluation value is compared with the first-level preset threshold, the second-level preset threshold, the third-level preset threshold, and the fourth-level preset threshold. If the comprehensive evaluation value is within the first-level preset threshold, the crop seed is judged to be highly tolerant to salt and alkali; if the comprehensive evaluation value is within the second-level preset threshold, the crop seed is judged to be tolerant to salt and alkali; if the comprehensive evaluation value is within the third-level preset threshold, the crop seed is judged to be moderately tolerant to salt and alkali; if the comprehensive evaluation value is within the fourth-level preset threshold, the crop seed is judged to be sensitive to salt and alkali.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] By preparing salt-alkali mixed solutions of different concentrations, saline-alkali soil environments of different degrees can be accurately simulated, providing a reliable basis for evaluating the salt-alkali tolerance of crop seeds, improving the accuracy and repeatability of experimental results, and comparing different concentrations of salt-alkali stress under the same experimental conditions. The salt-alkali tolerance level of crop seeds is evaluated to provide a reference for breeding and planting decisions. It is suitable for the salt-alkali tolerance assessment of most crop seeds. The standardized data collection and analysis process improves the experimental efficiency, making the experimental results more reliable and repeatable, helping farmers and agricultural enterprises to choose suitable crop varieties and planting areas, and improving the utilization efficiency of saline-alkali land. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 The present invention is a flow chart of the identification and grading method of salt-alkali tolerance of crops during germination period. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] In order to solve the technical problems in the existing technology, due to the different conditions of saline-alkali land in different regions, the different tolerance of different crops or different varieties of the same crop to saline-alkali, and the lack of unified and standard identification process and grading standards, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0064] The identification and grading method of salt-alkali tolerance of crops during germination period comprises the following steps:

[0065] S1: Crop cultivation: Select the tested crop seeds of different germplasms, including seeds of different qualities or germplasms, prepare the crop germination seedling bed, and lay sterile gauze on each seedling bed to form a number of sowing cells, and evenly sow the tested crop seeds of different germplasms into the corresponding sowing cells, specifically including:

[0066] S101: Seed treatment: Select representative, high-quality and genetically clear crop seeds of different germplasms to ensure the purity and vitality of the seeds. After surface disinfection, soak the selected crop seeds in distilled water at room temperature for 24 hours;

[0067] S102: Seedbed construction: Build standardized seedbeds for crop germination, using sterile, air-permeable substrates, such as perlite and vermiculite mixed substrates, and evenly divide the seedbeds into multiple sowing cells, with isolation zones between each cell to prevent cross contamination;

[0068] S103: Seed sowing: Sow the soaked crop seeds to be tested evenly in the corresponding sowing cells according to different germplasms, and ensure that the number of seeds, sowing depth and seed quality (such as size, shape, health, germination rate) in each cell are consistent;

[0069] In this embodiment, surface disinfection and distilled water immersion are used to improve the germination rate and health level of seeds, a standardized experimental environment is constructed, and a sterile, air-permeable matrix is ​​used, which is conducive to the control and replication of experimental conditions, and is conducive to the healthy growth and development of seeds. Uniform sowing can eliminate experimental errors caused by uneven seed distribution, improve the reliability of the experiment, and facilitate the statistics and analysis of subsequent experimental data;

[0070] S2: Formulate the test plan: According to the characteristics of the selected crop seeds to be tested, formulate a planting plan, including key parameters such as sowing density, water management, and temperature control, and set up at least one control group. Use pure water solution as the control group to simulate the normal growth environment without salt-alkali stress, so as to compare the effects of different concentrations of salt-alkali stress on crop germination. At the same time, set up no less than two concentration gradients of salt-alkali mixed solutions as experimental groups, divide the sowing cells into zones, set different stress gradients for each area, and set different concentrations of salt-alkali mixed solutions for each area to ensure that each area can form an independent salt-alkali stress environment;

[0071] S3: Salt-alkali stress treatment: a salt-alkali mixed solution is prepared according to a predetermined concentration gradient, and an equal amount of the prepared salt-alkali mixed solution is added to the corresponding partition of the sowing cell according to the concentration gradient of the salt-alkali mixed solution. The salt-alkali mixed solution prepared based on different concentration gradients is directly soaked to germinate the seeds, so that the seeds are placed in a simulated saline-alkali environment, and the seedbed after sowing is placed in the temperature, light and humidity conditions that meet the growth conditions of the tested crop seeds for cultivation.

[0072] In this embodiment, the germinated seeds are further processed: the test crop seeds are germinated based on pure water, and the germinated and germinated seeds are evenly sown in the sowing cells; according to the predetermined stress gradient, a saline-alkali mixed solution with different concentration gradients is added to the sowing cells to ensure that the solution evenly covers the germination roots of the seeds to simulate the saline-alkali soil environment; the seedbed treated with saline-alkali stress is placed in an artificial climate box for cultivation, and the temperature of the artificial climate box is set to 25°C, the relative humidity is 60%, and the light time is 12 hours / day;

[0073] In this embodiment, the salt-alkali mixed solution is prepared, including preparing a 1.0% NaCl solution with a pH value of 6.60; preparing a 1.0% NaCl solution and mixing it with a 0.25% NaHCO3 solution with a pH value of 8.23; preparing a 1.12% NaCl solution and mixing it with a 0.28% NaHCO3 solution with a pH value of 8.26; preparing a 1.2% NaCl solution and mixing it with a 0.3% NaHCO3 solution with a pH value of 8.30; wherein the salt-alkali ratio of the salt-alkali mixed solution is 4:1;

[0074] In this embodiment, the ungerminated seeds and the germinated seeds are subjected to saline-alkali stress treatment, and more information about the salt-alkali tolerance of crops is obtained in the same experimental cycle, which improves the experimental efficiency. The experimental results of the two treatment methods are combined to verify and complement each other, thereby enhancing the reliability and accuracy of the experimental results.

[0075] S4: Data collection and analysis: Regularly observe and record the germination of seeds, including germination rate, germination time, seedling growth status and other indicators, and analyze the germination of seeds obtained to compare the differences in germination and growth performance of crops under different germplasms and different salinity concentrations;

[0076] S5: Salt-alkali tolerance assessment: A comprehensive assessment is conducted based on the comparison results of the germination conditions and growth performance differences of the tested crop seeds, and the salt-alkali tolerance of the crops is divided into four levels based on the assessment results, namely high tolerance, tolerance, medium tolerance, and sensitive; among them, crops with high tolerance level show higher germination rate and good growth conditions in saline-alkali environment, while crops with sensitive level show lower germination rate and poor growth conditions.

[0077] In this embodiment, by preparing salt-alkali mixed solutions of different concentrations and evenly covering the roots of seeds, saline-alkali soil environments of different degrees can be accurately simulated, providing a reliable basis for evaluating the salt-alkali tolerance of crop seeds. The use of an artificial climate chamber can accurately control key environmental factors such as temperature, humidity and light, reduce external interference, and improve the accuracy and repeatability of experimental results. Under the same experimental conditions, different concentrations of salt-alkali stress can be compared to evaluate the salt-alkali tolerance level of crop seeds, providing a reference for breeding and planting decisions, and is suitable for the salt-alkali tolerance evaluation of most crop seeds.

[0078] In this embodiment, the uniformity and controllability of the experimental conditions are ensured through standardized seed treatment, seedbed construction, and seed sowing steps, the errors caused by differences in experimental operations are reduced, the reliability and repeatability of the experimental results are improved, and not only the germination of seeds is paid attention to, but also the growth of seedlings under saline-alkali stress is considered. Through regular data collection and analysis, the salt-alkali tolerance of crops is comprehensively evaluated. By setting up a control group and an experimental group, as well as multiple salt-alkali concentration gradients, ungerminated and germinated seeds are treated at the same time, and their germination and growth are observed within the same experimental cycle. The parallel processing method greatly shortens the experimental cycle and improves the experimental efficiency. By identifying and evaluating the salt-alkali tolerance of crops, the rational use of saline-alkali land resources in agricultural production is guided, and agriculture is promoted to develop in a more environmentally friendly and efficient direction, thereby achieving sustainable agricultural development.

[0079] In this embodiment, at least two saline-alkali mixed solutions with concentration gradients are set in S2 as the experimental group, specifically including:

[0080] Determine the number of concentration gradients and concentration thresholds of the saline-alkali mixed solution, wherein each concentration gradient is set to be no less than two;

[0081] On the seedbed, the area of ​​the sowing cells is divided into corresponding partitions using partitions according to the number of concentration gradients, each partition corresponds to a stress gradient, and the area of ​​each stress gradient is equal;

[0082] Each partition includes seeds of different germplasms of crops to be tested.

[0083] In this embodiment, by setting multiple concentration gradients and repetitions, the reliability and repeatability of the experimental data are enhanced, thereby improving the accuracy of the experimental results. Seeds of different germplasms are planted in each partition to ensure that the salt-alkali tolerance of multiple germplasms of crops are evaluated at the same time, and the germination and growth performance of crops of different germplasms under different saline-alkali conditions are comprehensively evaluated, providing a scientific basis for crop planting.

[0084] Specifically, the process of setting the temperature of the artificial climate box includes:

[0085] Real-time monitoring of the external ambient temperature of the artificial climate chamber;

[0086] Extract the thermal conductivity of the box material of the artificial climate box;

[0087] Obtaining a temperature compensation coefficient of the artificial climate chamber according to the external ambient temperature of the artificial climate chamber and the thermal conductivity of the material of the artificial climate chamber;

[0088] The temperature compensation coefficient of the artificial climate chamber is obtained by the following formula:

[0089]

[0090] Among them, C t represents the temperature compensation coefficient of the artificial climate box; α represents the adjustment factor, and the value range of the adjustment factor is 0.04-0.17; β represents the index of sensitivity of the material reaction to temperature change obtained through the previous experiment; n represents the number of temperature control times of the artificial climate box; k represents the thermal conductivity of the box material of the artificial climate box; W m Indicates the target temperature value; W i represents the external environment temperature corresponding to the i-th temperature control; A represents the surface area of ​​the artificial climate box; d represents the thickness of the artificial climate box; c p It represents the specific heat capacity of the air inside the artificial climate chamber;

[0091] Comparing the temperature compensation coefficient of the artificial climate chamber with a preset compensation coefficient threshold of the current artificial climate chamber in real time;

[0092] When the temperature compensation coefficient of the artificial climate chamber exceeds the preset compensation coefficient threshold of the current artificial climate chamber, the artificial climate chamber is adjusted.

[0093] The technical effect of the above technical solution is: by real-time monitoring of the external environment temperature, considering the thermal conductivity of the box material, and introducing the temperature compensation coefficient, the technical solution can more accurately predict and adjust the temperature inside the artificial climate box to adapt to the impact of external environmental changes on the internal temperature of the box, thereby improving the accuracy of temperature control. When using the formula to calculate the temperature compensation coefficient, a variety of factors are considered (such as adjustment factors, sensitivity index of material reaction to temperature changes, number of temperature control, thermal conductivity of box material, etc.), which work together in the calculation of the temperature compensation coefficient, so that the system can be dynamically adjusted according to different situations, enhancing the adaptability and flexibility of the system.

[0094] Through precise temperature control, energy waste caused by excessive temperature fluctuations can be reduced and energy utilization efficiency can be improved. At the same time, precise temperature control can also help reduce experimental failures or product quality problems caused by inappropriate temperature, thereby reducing related costs. In scientific research experiments, agricultural production, pharmaceutical research and development and other fields, a stable temperature environment is a key factor in ensuring the smooth progress of experiments or production. This technical solution helps to improve the reliability and success rate of related experiments or production by improving the accuracy and stability of temperature control. Through real-time monitoring, automatic calculation and adjustment, this technical solution realizes the intelligent management of artificial climate chambers, reduces the need for manual intervention, and improves work efficiency and management level.

[0095] In summary, this technical solution achieves high-precision and intelligent control of the temperature of the artificial climate chamber by comprehensively considering multiple factors, which is of great significance for improving the stability, reliability and efficiency of the experimental or production environment.

[0096] Specifically, when the temperature compensation coefficient of the artificial climate box exceeds a preset compensation coefficient threshold, the artificial climate box is adjusted, including:

[0097] When the temperature compensation coefficient of the artificial climate box exceeds the preset compensation coefficient threshold of the current artificial climate box, the control time corresponding to the temperature control of the current artificial climate box is retrieved;

[0098] The adjustment coefficient is obtained by using the adjustment time corresponding to the temperature adjustment of the current artificial climate box; wherein the adjustment coefficient is obtained by the following formula:

[0099]

[0100] Where, t represents the adjustment coefficient; T c Indicates the preset reference value of the control time; T max represents the maximum value of the artificial climate box's control time; W represents the external environment temperature value corresponding to the maximum value of the artificial climate box's control time; n represents the number of temperature controls of the artificial climate box; W cirepresents the temperature control amplitude value corresponding to the i-th temperature control; W m represents the target temperature value, which is 25°C; T i Indicates the control time corresponding to the i-th temperature control;

[0101] Obtaining a comprehensive compensation coefficient using the adjustment coefficient and the temperature compensation coefficient of the artificial climate chamber;

[0102] The comprehensive compensation coefficient is obtained by the following formula:

[0103]

[0104] Among them, U represents the comprehensive compensation coefficient; C t represents the temperature compensation coefficient of the artificial climate chamber; t represents the adjustment coefficient;

[0105] The power of the heating or cooling device of the artificial climate chamber is compensated and adjusted by using the comprehensive compensation coefficient to obtain the output power of the heating or cooling device after adjustment; wherein the output power of the heating or cooling device after adjustment is obtained by the following formula:

[0106]

[0107] Among them, P t It represents the output power of the heating or cooling equipment after adjustment; P represents the output power of the heating or cooling equipment before adjustment; U represents the comprehensive compensation coefficient.

[0108] The technical effect of the above technical solution is: when the temperature compensation coefficient of the artificial climate box exceeds the preset threshold, the system not only considers the temperature compensation coefficient itself, but also further considers factors such as the duration of temperature control and its corresponding external ambient temperature, and introduces the adjustment coefficient to more accurately reflect the current control state. This dynamic adjustment strategy enables the system to better adapt to changes in the external environment and ensure the stability and accuracy of temperature control. By comprehensively considering multiple factors such as the control duration, external ambient temperature, temperature control range, and target temperature, the calculated adjustment coefficient can more reasonably guide the power adjustment of the heating or cooling equipment. This adjustment method based on the comprehensive compensation coefficient helps to reduce unnecessary energy waste and improve control efficiency.

[0109] Using the comprehensive compensation coefficient to compensate and adjust the output power of the heating or cooling equipment can ensure that the equipment can maintain the best working condition under different environmental conditions. This helps to extend the service life of the equipment, reduce maintenance costs, and improve the stability and reliability of the overall system. The entire adjustment process is based on a series of complex calculations and judgments, realizing the intelligent management of the artificial climate chamber. This not only reduces the need for manual intervention, but also improves the degree of automation of the system, making temperature control more precise and efficient. In scientific research experiments, agricultural production, pharmaceutical research and development and other fields, a stable temperature environment is crucial to the accuracy and reliability of experiments or production. This technical solution helps to ensure the smooth progress of the experiment or production process and improve the accuracy and reliability of the results by improving the accuracy and stability of temperature control.

[0110] In summary, this technical solution realizes dynamic compensation adjustment of the power of the heating or cooling equipment of the artificial climate chamber by introducing concepts such as adjustment coefficient and comprehensive compensation coefficient, improves the accuracy and stability of temperature control, enhances the intelligence and automation of the system, and is of great significance for improving the accuracy and reliability of experiments or production.

[0111] In this embodiment, the data collection and analysis in S4 specifically includes:

[0112] According to the seedling raising time and growth habits of the tested crop seeds, the data collection cycle was determined, and the germination potential and germination rate of the control group and the experimental group were collected on the 4th day and the 10th day respectively;

[0113] Record the germination rate, germination time and seedling growth status data of the crop seeds to be tested in each area, and generate a growth report of the crop seeds to be tested;

[0114] Compare the germination rate, germination time and seedling growth status data of the tested crop seeds of different germplasms obtained from the same region to determine the differences in germination and growth performance between the tested crop seeds of different germplasms;

[0115] The germination rate is the percentage of germinated seeds in each area to the total number of seeds, the germination time is the time required from sowing to the germination of the first batch of seeds, the seedling growth status includes the height of the seedlings, the number of leaves, the leaf color, the root length and the health status, and a camera is used to take photos to record the morphological changes of the crop seeds to be tested.

[0116] In this embodiment, by setting a reasonable data collection cycle and detailed recording indicators, the germination and growth performance of the tested crop seeds under saline-alkali stress can be accurately evaluated, the growth status of the seeds under saline-alkali stress can be fully reflected, and rich information can be provided for in-depth analysis. The standardized data collection and analysis process improves the experimental efficiency, making the experimental results more reliable and repeatable, helping farmers and agricultural enterprises to select suitable crop varieties and planting areas, and improve the utilization efficiency of saline-alkali land.

[0117] In this embodiment, the salt and alkali resistance evaluation in S5 specifically includes:

[0118] Evaluation index calculation: The seed germination potential and germination index are calculated based on the germination rate and germination time of the tested crop seeds. The calculation formulas for the seed germination potential and germination index are as follows:

[0119]

[0120] In the formula, It is expressed as seed germination potential; It is expressed as the number of seeds germinated during the peak germination period; It is expressed as the total number of seeds; It is expressed as germination index; It is expressed as germination rate; It is expressed as the mean germination time;

[0121] Determination of weight value: Calculate the weight value of each index according to the contribution rate of the two indicators of seed germination potential and germination index, convert the comprehensive index into numerical value according to the weight of each index, and add the weighted values ​​of each index to generate the comprehensive evaluation value of salt-alkali tolerance under salt-alkali stress conditions;

[0122] Salt-alkali tolerance classification: The obtained comprehensive evaluation value is compared with the preset salt-alkali tolerance assessment threshold to obtain the salt-alkali tolerance grade of the crop seeds;

[0123] The comprehensive evaluation value is compared with the first-level preset threshold, the second-level preset threshold, the third-level preset threshold, and the fourth-level preset threshold. If the comprehensive evaluation value is within the first-level preset threshold, the crop seed is judged to be highly tolerant to salt and alkali; if the comprehensive evaluation value is within the second-level preset threshold, the crop seed is judged to be tolerant to salt and alkali; if the comprehensive evaluation value is within the third-level preset threshold, the crop seed is judged to be moderately tolerant to salt and alkali; if the comprehensive evaluation value is within the fourth-level preset threshold, the crop seed is judged to be sensitive to salt and alkali.

[0124] In this embodiment, by calculating multiple key indicators and combining weight values ​​for comprehensive evaluation, the salt-alkali tolerance of the tested crop seeds can be reflected more scientifically and comprehensively. The comprehensive evaluation based on the germination index combined with factors such as the average germination time improves the accuracy of the evaluation and reduces the errors that may be caused by a single indicator. The quantitative indicators and weight values ​​reduce the errors of subjective judgment. The germination rate and germination time are comprehensively considered to more comprehensively evaluate the performance of seeds under salt-alkali stress. Through the preset threshold, the salt-alkali tolerance of different germplasms can be compared, and germplasm resources with superior salt-alkali tolerance can be screened out, providing an important data basis for crop breeding and germplasm resource protection.

[0125] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for identifying and grading the salt-alkali tolerance of crops during the germination period, characterized in that: The following steps are involved: S1: Crop cultivation: Select the seeds of the crops to be tested of different germplasms, and lay sterile gauze on each seedbed to form several sowing cells, and evenly sow the seeds of the crops to be tested of different germplasms into the corresponding sowing cells; S2: Formulate the test plan: formulate a planting plan according to the characteristics of the selected crop seeds to be tested, and set up at least one control group. At the same time, set up no less than two saline-alkali mixed solutions with concentration gradients as experimental groups, divide the sowing cells into zones, and set different stress gradients for each zone; S3: Salt-alkali stress treatment: prepare a salt-alkali mixed solution according to a predetermined concentration gradient, add the prepared and equal amount of the salt-alkali mixed solution to the corresponding partition of the sowing cell according to the concentration gradient of the salt-alkali mixed solution, so that the seeds are placed in a simulated salt-alkali environment, and place the sown seedbed under temperature, light and humidity conditions that meet the growth conditions of the tested crop seeds for cultivation; S4: Data collection and analysis: Regularly observe and record the germination of seeds, and analyze the germination of the seeds obtained to compare the differences in germination and growth performance of crops under different germplasms and different salinity concentrations; S5: Salt-alkali tolerance assessment: A comprehensive assessment is conducted based on the comparison of the germination and growth performance of the tested crop seeds, and the salt-alkali tolerance of the crops is divided into four levels based on the assessment results, namely high tolerance, tolerance, medium tolerance, and sensitive; The saline-alkali stress treatment also includes treating the germinated seeds: Using pure water to germinate the seeds of the crop to be tested, and evenly sow the germinated seeds in the sowing cells; According to the predetermined stress gradient, a salt-alkali mixed solution with different concentration gradients is added to the sowing cells to ensure that the solution evenly covers the germinating roots of the seeds; The seedbed treated with saline-alkali stress was placed in an artificial climate box for cultivation, and the temperature of the artificial climate box was set to 25°C, the relative humidity was 60%, and the light time was 12 hours / day; The process of setting the temperature of the climate chamber includes: Real-time monitoring of the external ambient temperature of the artificial climate chamber; Extract the thermal conductivity of the artificial climate chamber's material; Obtaining a temperature compensation coefficient of the artificial climate chamber according to the external ambient temperature of the artificial climate chamber and the thermal conductivity of the material of the artificial climate chamber; The temperature compensation coefficient of the artificial climate chamber is obtained by the following formula: ； Among them, C t represents the temperature compensation coefficient of the artificial climate box; α represents the adjustment factor, and the value range of the adjustment factor is 0.04-0.17; β represents the index of sensitivity to temperature change through material reaction; n represents the number of temperature control times of the artificial climate box; k represents the thermal conductivity of the box material of the artificial temperature box; W m Indicates the target temperature value; W i represents the external environment temperature corresponding to the i-th temperature control; A represents the surface area of ​​the artificial climate box; d represents the thickness of the artificial climate box; c p It represents the specific heat capacity of the air inside the artificial climate chamber; Comparing the temperature compensation coefficient of the artificial climate chamber with a preset compensation coefficient threshold of the current artificial climate chamber in real time; When the temperature compensation coefficient of the artificial climate box exceeds the preset compensation coefficient threshold of the current artificial climate box, the artificial climate box is adjusted; When the temperature compensation coefficient of the artificial climate box exceeds a preset compensation coefficient threshold, the artificial climate box is adjusted, including: When the temperature compensation coefficient of the artificial climate box exceeds the preset compensation coefficient threshold of the current artificial climate box, the control time corresponding to the temperature control of the current artificial climate box is retrieved; The adjustment coefficient is obtained by using the adjustment time corresponding to the temperature adjustment of the current artificial climate box; wherein the adjustment coefficient is obtained by the following formula: ； Where, t represents the adjustment coefficient; T c Indicates the preset reference value of the control time; T max represents the maximum value of the artificial climate box's control time; W represents the external environment temperature value corresponding to the maximum value of the artificial climate box's control time; n represents the number of temperature controls of the artificial climate box; W ci represents the temperature control amplitude value corresponding to the i-th temperature control; W m represents the target temperature value, which is 25°C; T i Indicates the control time corresponding to the i-th temperature control; Obtaining a comprehensive compensation coefficient using the adjustment coefficient and the temperature compensation coefficient of the artificial climate chamber; The comprehensive compensation coefficient is obtained by the following formula: ； Among them, U represents the comprehensive compensation coefficient; C t represents the temperature compensation coefficient of the artificial climate chamber; t represents the adjustment coefficient; The power of the heating or cooling device of the artificial climate chamber is compensated and adjusted by using the comprehensive compensation coefficient to obtain the output power of the heating or cooling device after adjustment; wherein the output power of the heating or cooling device after adjustment is obtained by the following formula: ； Among them, P t It represents the output power of the heating or cooling equipment after adjustment; P represents the output power of the heating or cooling equipment before adjustment; U represents the comprehensive compensation coefficient.

2. The method for identifying and grading salt-alkali tolerance of crops during germination period as claimed in claim 1, characterized in that: The crop cultivation specifically includes: S101: Seed treatment: After surface disinfection of the selected crop seeds to be tested, soak them in distilled water at room temperature for 24 hours; S102: Seedbed construction: construct a standardized seedbed for crop germination, and evenly divide the seedbed into multiple sowing cells, with isolation zones set between each cell; S103: Seed sowing: Sow the soaked crop seeds to be tested evenly in the corresponding sowing cells according to different germplasms, and ensure that the seed quantity, sowing depth and seed quality in each cell are consistent.

3. The method for identifying and grading salt-alkali tolerance of crops during germination period as claimed in claim 2, characterized in that: In the S2, at least two saline-alkali mixed solutions with concentration gradients are set as the experimental group, specifically including: Determine the number of concentration gradients and concentration thresholds of the saline-alkali mixed solution, wherein each concentration gradient is set to be no less than two; On the seedbed, the area of ​​the sowing cells is divided into corresponding partitions using partitions according to the number of concentration gradients, each partition corresponds to a stress gradient, and the area of ​​each stress gradient is equal; Each partition includes seeds of different germplasms of crops to be tested.

4. The method for identifying and grading the salt-alkali tolerance of crops during germination as claimed in claim 3, characterized in that: The data collection and analysis specifically includes: Determine the data collection cycle based on the seedling raising time and growth habits of the crop seeds to be tested; Record the germination rate, germination time and seedling growth status data of the crop seeds to be tested in each area, and generate a growth report of the crop seeds to be tested; The germination rate, germination time and seedling growth status data of the tested crop seeds of different germplasms obtained from the same area were compared to determine the differences in germination and growth performance between the tested crop seeds of different germplasms.

5. The method for identifying and grading salt-alkali tolerance of crops during germination period as claimed in claim 4, characterized in that: The germination rate is the percentage of germinated seeds in each area to the total number of seeds, the germination time is the time required from sowing to the germination of the first batch of seeds, the seedling growth status includes the height of the seedlings, the number of leaves, the leaf color, the root length and the health status, and a camera is used to take photos to record the morphological changes of the crop seeds to be tested.

6. The method for identifying and grading the salt-alkali tolerance of crops during germination as claimed in claim 5, characterized in that: The salt and alkali resistance assessment specifically includes: Evaluation index calculation: Calculate the seed germination potential and germination index based on the germination rate and germination time of the tested crop seeds; Determination of weight value: Calculate the weight value of each index according to the contribution rate of the two indicators of seed germination potential and germination index, convert the comprehensive index into numerical value according to the weight of each index, and add the weighted values ​​of each index to generate the comprehensive evaluation value of salt-alkali tolerance under salt-alkali stress conditions; Salt-alkali tolerance grade classification: The salt-alkali tolerance grade of the crop seeds is obtained by comparing the obtained comprehensive evaluation value with the preset salt-alkali tolerance assessment threshold.

7. The method for identifying and grading the salt-alkali tolerance of crops during germination as claimed in claim 6, characterized in that: The salt-alkaline tolerance level of the crop seeds is obtained, specifically: The comprehensive evaluation value is compared with the first-level preset threshold, the second-level preset threshold, the third-level preset threshold, and the fourth-level preset threshold. If the comprehensive evaluation value is within the first-level preset threshold, the crop seed is judged to be highly tolerant to salt and alkali; if the comprehensive evaluation value is within the second-level preset threshold, the crop seed is judged to be tolerant to salt and alkali; if the comprehensive evaluation value is within the third-level preset threshold, the crop seed is judged to be moderately tolerant to salt and alkali; if the comprehensive evaluation value is within the fourth-level preset threshold, the crop seed is judged to be sensitive to salt and alkali.

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