A kind of intelligent dual-purpose nuclear sterile line breeding method

Abstract

The invention discloses an intelligent dual-purpose nuclear sterile line breeding method, and relates to the technical field of rice planting. The method sorts the transplanting time of the dual-purpose nuclear sterile line in different breeding bases according to the optimal transplanting time, reasonably analyzes the growth condition of the seedlings of the dual-purpose nuclear sterile line in the adjacent and front breeding base, analyzes the environment of the adjacent and rear breeding base, combines the two breeding bases to analyze whether the dual-purpose nuclear sterile line needs to be transplanted, and analyzes the rationality of transplanting the dual-purpose nuclear sterile line. The method can effectively cope with the special growth environment of the breeding base in the current year. When the growth environment of the breeding base in the current year is not conducive to the reproduction of the dual-purpose nuclear sterile line, the planting loss of the dual-purpose nuclear sterile line is avoided by timely transplanting, reducing planting, etc., and the yield of the dual-purpose nuclear sterile line is guaranteed at the same time.

Description

Technical Field

[0001] The invention relates to the technical field of rice planting, and more specifically to a breeding method of an intelligent dual-purpose nuclear sterile line. Background Art

[0002] At present, the breeding base suitable for the breeding of dual-purpose nuclear sterile lines and the optimal planting time can be obtained through the sterile line fertility sensitive safety period model and the sterile line heading and flowering safety period model. However, the sterile line fertility sensitive safety period model and the sterile line heading and flowering safety period model are calculated based on historical data. If the environment of the breeding base in that year deviates from that of previous years, the yield of the dual-purpose nuclear sterile lines in that year will be affected. How to ensure that the yield of the dual-purpose nuclear sterile lines will not be affected based on the reference to the sterile line fertility sensitive safety period model and the sterile line heading and flowering safety period model is an urgent problem to be solved now. Summary of the invention

[0003] In view of the shortcomings of the prior art, the object of the present invention is to provide an intelligent dual-purpose nuclear sterile line breeding method.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A method for breeding an intelligent dual-purpose nuclear sterile line comprises the following steps:

[0006] Step 1: Obtain the target base, calculate the optimal transplanting time of the dual-purpose nuclear sterile line at different target bases at the same starting temperature according to the sowing start period of the sterile line, sort the optimal transplanting time of different target bases in chronological order, and mark the target base as JD n ;

[0007] Step 2: Become a JD n When the best time for transplanting rice is reached, the area is JD n In JD n The best time to plant rice and JD n+1 The optimal transplanting time is based on the preset cycle and continuous analysis of JD n The basic growth data of dual-purpose nuclear male sterile line seedlings and JD n+1 The growth environment data is used to obtain the growth and development mean and environmental score of each cycle node;

[0008] Step 3: Obtain the planting adjustment value based on the growth and development mean and the environmental score, and determine the JD based on the planting adjustment value n With JD n+1 Whether transplanting is needed and determining JD n+1 of transplanting area.

[0009] Furthermore, the target base is marked and acquired in the following manner: acquiring a fertility-sensitive safety period model for a sterile line and a heading and flowering safety period model for a sterile line, collecting meteorological data of the breeding base through a meteorological observation station, selecting a breeding base that meets the two safety models based on the meteorological data, acquiring the comprehensive breeding safety probability of the breeding base, setting a comprehensive breeding safety probability threshold, and marking the breeding base as a target base when the comprehensive breeding safety probability is greater than the comprehensive breeding safety probability threshold.

[0010] Furthermore, J.D. n The growth basic data of the dual-purpose nuclear male sterile line seedlings are obtained through the following steps: at each preset period node, n S number of dual-purpose nuclear male sterile seedlings are extracted from the seedlings, and the growth and development value of each dual-purpose nuclear male sterile seedling is analyzed according to the stem tiller number, plant height and SPAD value of the dual-purpose nuclear male sterile seedlings. The growth and development values ​​of all the extracted dual-purpose nuclear male sterile seedlings are summed and averaged to obtain the growth and development mean of the node, which is marked as SZFY. The growth and development base value is set. When the growth and development mean value is greater than or equal to the growth and development base value, the next preset period is JD n S number of dual-purpose nuclear male sterile seedlings are selected from the sample. When the mean growth value is less than the base value of growth, the next preset period is JD n The s+r number of dual-purpose nuclear sterile line seedlings were selected.

[0011] Furthermore, the growth and development value BYZ of each dual-purpose nuclear male sterile seedling was obtained by the following formula: the number of stems and tillers of each dual-purpose nuclear male sterile seedling was marked as NS, the plant height was marked as ZG, and the SPAD value was marked as SPZ. The growth and development value BYZ of each dual-purpose nuclear male sterile line seedling was obtained, where a1 was the stem and tiller number coefficient, a2 was the plant height coefficient, and a3 was the SPAD value coefficient.

[0012] Furthermore, J.D. n+1 The growth environment data of JD is obtained by the following steps: At each preset period node, obtain JD n+1 The day's climate data, light data, and soil data will be n+1 The climate data of the day is used as the input data of the environmental analysis model. The environmental score of the node is obtained according to the environmental analysis model and marked as HJF.

[0013] Furthermore, the environmental analysis model is obtained through the following steps: obtaining multiple groups of growth environment data, each group of growth environment data includes climate data, light data, and soil data, constructing a neural network model, using the growth environment data as training data for the neural network model, assigning an environmental score to the training data, and the value range of the environmental score is (0-5], dividing the training data into a training set and a validation set according to a set ratio, iteratively training the neural network model through the training set and the validation set, and obtaining the environmental analysis model after the training is completed.

[0014] Furthermore, the planting adjustment value is obtained by the following steps: obtaining the base ratio of each node, sorting all base ratios according to the order of nodes, calculating the difference between the next adjacent base ratio after sorting and the previous base ratio to obtain the base ratio difference, setting the base ratio difference threshold, when the base ratio difference is greater than or equal to the base ratio difference threshold, marking the base ratio difference as an excellent ratio difference, summing up all excellent ratio differences to obtain the total excellent ratio difference, and marking it as YXB, obtaining the total number of base ratio differences marked as excellent ratio differences, and marking it as BJZS, setting the base ratio threshold, summing up the base ratios of all nodes and taking the average, obtaining the base ratio mean, and marking it as JDBJ, using the formula The planting adjustment value ZZT is obtained, where c1 is the total difference coefficient of the excellent ratio, c2 is the quantity coefficient of the excellent ratio difference, and c3 is the mean coefficient of the base ratio.

[0015] Furthermore, the base ratio FZB of the node is obtained by the following steps: Get the JD of the same node n The growth and development mean and JD n+1 The environmental score is calculated using the formula The base ratio FZB of the node is obtained, where b1 is the mean coefficient of growth and development.

[0016] Further, JD is determined based on the planting adjustment value. n With JD n+1 Whether transplanting is needed and determining JD n+1 The specific method is: set the planting adjustment high value and the planting adjustment low value. When the planting adjustment value is greater than or equal to the planting adjustment high value, obtain JD n The leaf stage of the dual-purpose nuclear male sterile line planted in the field is obtained to obtain the range of the transplanting leaf stage. n When the leaf stage of the dual-purpose genic male sterile line planted in the area is within the range of the transplanting leaf stage, and JD n+1 When the best time for transplanting rice is reached, n The dual-purpose nuclear sterile lines within the m×Y% area were transplanted to JD n+1 When the planting adjustment value is less than or equal to the planting adjustment low value, when JD n+1When the best time for transplanting is reached, the area of ​​JD n+1 For the seedlings of dual-purpose nuclear sterile lines for internal transplanting, when the planting adjustment value is between the planting adjustment high value and the planting adjustment low value, when JD n+1 When the best time for transplanting rice is reached, the area is JD n+1 Dual-purpose nuclear sterile seedlings for internal transplanting.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] 1. The method of the present invention sorts the transplanting time of the dual-purpose nuclear sterile line in different breeding bases according to the optimal transplanting time, reasonably analyzes the growth condition of the seedlings of the dual-purpose nuclear sterile line in the adjacent and front breeding base, analyzes the environment of the adjacent and rear breeding base, combines the two breeding bases to analyze whether the dual-purpose nuclear sterile line needs to be transplanted, and analyzes the rationality of transplanting the dual-purpose nuclear sterile line;

[0019] 2. The method of the present invention can effectively cope with the special growth environment of the breeding base in the current year. When the growth environment of the breeding base in the current year is not conducive to the reproduction of the dual-purpose nuclear sterile line, the planting loss of the dual-purpose nuclear sterile line can be avoided by timely transplanting, reducing planting, etc., while ensuring the yield of the dual-purpose nuclear sterile line. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 The present invention is a flowchart of a breeding method of an intelligent dual-purpose nuclear sterile line. DETAILED DESCRIPTION

[0021] Example 1

[0022] Reference Figure 1 , a method for breeding an intelligent dual-purpose nuclear sterile line, comprising the following steps:

[0023] Step 1: Obtain the fertility sensitive safety period model of the sterile line and the heading and flowering safety period model of the sterile line, and screen the fertility sensitive safety period model of the sterile line (the two-line sterile line needs to enter the fourth stage of the fertility sensitive period without 3 consecutive days of daily average temperature ≥ sterility starting temperature or ≤16℃ within 16 days. This model is very important. Only when the weather meets this condition can the two-line sterile line produce pollen, self-pollination interpretation, and reproduction be guaranteed to be safe. Screening of the heading and flowering safety period model of the sterile line: within 8 days after the sterile line starts heading, there is no 3 consecutive days of daily average temperature ≥30℃ or ≤21℃, which ensures the most suitable weather conditions for the heading and flowering period of the two-line sterile line, and the self-pollination fruit set rate is significantly improved, which is of great significance to improving the yield of reproduction;

[0024] The specific process of establishing the fertility sensitive safety period model of sterile lines is as follows:

[0025] 1. Establish a time set SS. The initial test value D0 is the earliest date of the site in the database, and the daily average temperature DT of that day is taken.

[0026] 2. Determine the daily average temperature DT and the starting temperature QT (the starting temperature of different sterile lines is different, generally between 22℃ and 24℃, and is determined by the user before calculation): If DT>QT, the dangerous day (initial value 0) is accumulated D=D+1. If the dangerous day ≥3, it means that the temperature for 3 consecutive days starting from a certain date does not meet the sterile line breeding requirements. This date does not enter the safe time set SS, and the set initial value D0=D0+1. From the next date, the daily average temperature DT is taken, and processes 1 and 2 are repeated. If DT≤QT, the safe day S (initial value 0)=S+1, and the dangerous day D is cleared to 0.

[0027] 3. Determine whether the safety day S is full of 16 days. If S is less than 16, take the average daily temperature of the next day as DT and repeat processes 1, 2, and 3. For each date, it will be judged whether the following 16 consecutive days meet the requirements. If S=16, the date in the D value officially enters the time set SS, indicating that the sterile line breeding conditions are met within 16 days after this date and it is a safe date. If it meets the requirements, it will be inserted into the time set and the fertility sensitive safety period of this time will be marked as safe.

[0028] 4. After looping through all the data, a time set will be established for each location, which contains multiple dates. These dates are safe dates for breeding of two-line sterile lines. The more years a date is repeated, the safer the fertility sensitive period is. This is an important basis for judging the probability later.

[0029] The specific process of establishing the heading and flowering safety period model of sterile lines is as follows:

[0030] 1. Take the date values ​​in the previous safety time set SS in order (the date set obtained by screening fertility safety), the initial test value D0 is the earliest date in the data set, and the daily average temperature DT is taken 20 days after the date (the average time from the start of fertility sensitivity to the beginning of heading is 20 days).

[0031] 2. Determine whether the daily average temperature DT is greater than 30℃ (the daily average temperature ≥30℃ is very unfavorable for heading poplar flowers): If DT>30℃, the dangerous day (initial value 0) is accumulated D=D+1. If the dangerous day ≥3, it means that the temperature for 3 consecutive days starting from a certain date does not meet the requirements of the heading poplar flowers of the sterile line. The heading and flowering safety period of this date in the data set is marked as unsafe. The set initial value D0 takes the daily average temperature DT from the next date, and repeats the process 1 and 2. If DT≤21℃ (the heading poplar flowers encounter low temperature risks when they are lower than 21 degrees Celsius), the low temperature dangerous day is accumulated LD=LD+1. If LD=3, the heading and flowering safety period of this date is marked as unsafe; if DT≤30℃, the safe day S (initial value 0)=S+1, the high temperature dangerous day HD is cleared to 0, and the low temperature dangerous day LD is cleared to 0.

[0032] 3. Determine whether the safe day S is full of 8 days. If S < 8, take the average daily temperature of the next day as DT, and repeat the process 1, 2, 3; if S = 8, the date in the D value officially enters the time set SS, indicating that the date meets the conditions for the heading and flowering of the sterile line within the next 8 days, and it is a safe date. The heading and flowering period of this date is marked as safe in the time set SS.

[0033] In summary, after looping through all the data, a time set will be established for each location, which contains multiple dates. These dates are the safe dates for heading of poplar flowers in the two-line sterile line. The more years a date is repeated, the safer the heading period is. This is an important basis for judging the probability later. The final time set is like this.

[0034] Meteorological data of breeding bases are collected through meteorological observation stations (based on the growth and development characteristics of rice, places above 2000 meters above sea level are not suitable for breeding of rice sterile lines. Therefore, the selected breeding bases only select meteorological points with an altitude of less than 2000 meters suitable for rice growth. Condition 2: The data of all meteorological points need to be 10 years or more, otherwise the data is not representative). According to the meteorological data, breeding bases that meet the two safety models are selected, and the comprehensive breeding safety probability of the breeding bases is obtained. A threshold value of the comprehensive breeding safety probability is set. When the comprehensive breeding safety probability is greater than the threshold value of the comprehensive breeding safety probability, the breeding base is marked as a target base. According to the sowing period of the sterile line, the dual-use nuclear sterile line at the same starting temperature (such as the starting temperature of 22.5℃) is calculated. JD) The optimal transplanting time of the dual-purpose nuclear sterile line in different target bases (according to the sowing start period of a sterile line, the optimal sowing time of the meteorological station at different starting temperatures is calculated, and the optimal transplanting time is deduced according to the optimal sowing time. The optimal sowing time = the calculated optimal fertility sensitive start time + general time - sowing start period, the optimal transplanting time = the optimal sowing time + (35-40) days, 35-40 days is the 3-leaf 1-core stage to the 3.5-leaf stage). The optimal transplanting time of different target bases is sorted in chronological order. The target bases are not too far apart, and basically belong to the same province or neighboring provinces, such as Baoshan, Yunnan, Yuxi, Yunnan, and Lincang, Yunnan. The optimal transplanting time interval between them is not too far, and the target base is marked as JD. n , n is the number generated by the target base in sorting order, n is 1, 2, ..., n, the reproduction process of the dual-purpose nuclear sterile line includes sowing, transplanting (moving the dual-purpose nuclear sterile line seedlings from the seed bed to the transplanted paddy field), heading, and maturity.

[0035] Step 2: Become a JD n When the best time for transplanting rice is reached, the area is JD n In JD n The best time to plant rice and JD n+1 The optimal transplanting time is based on the preset cycle and continuous analysis of JD n The basic growth data of dual-purpose nuclear male sterile line seedlings and JD n+1 Growth environment data (preset cycle according to JD n The best time to plant rice and JD n+1 The time between the best transplanting times is adaptively adjusted. When the time between the two best transplanting times is longer, the preset period is longer. When the time between the two best transplanting times is shorter, the preset period is shorter. At each preset period node, in JD nThe number of dual-purpose nuclear male sterile seedlings was selected from the sample, and the number of stem tillers, plant height and SPAD value of each dual-purpose nuclear male sterile seedling were analyzed. The number of stem tillers of each dual-purpose nuclear male sterile seedling was marked as NS, the plant height was marked as ZG, and the SPAD value was marked as SPZ. The formula was used to calculate the number of stem tillers, plant height and SPAD value of each dual-purpose nuclear male sterile seedling. The growth and development value BYZ of each dual-purpose nuclear male sterile seedling is obtained, where a1 is the stem tiller number coefficient, a2 is the plant height coefficient, and a3 is the SPAD value coefficient. The value of a1 is 0.58, the value of a2 is 0.62, and the value of a3 is 0.23. The growth and development values ​​of all the dual-purpose nuclear male sterile seedlings extracted are summed and averaged to obtain the growth and development mean of the node, which is marked as SZFY. The growth and development base value is set. When the growth and development mean value is greater than or equal to the growth and development base value, the next preset period is JD n S number of dual-purpose nuclear male sterile seedlings are selected from the sample. When the mean growth value is less than the base value of growth, the next preset period is JD n Extract the s+r number of dual-purpose nuclear male sterile line seedlings;

[0036] At each preset period node, obtain JD n+1 The day's climate data (including but not limited to temperature and humidity), light data (including but not limited to sunshine duration and light intensity), and soil data (including but not limited to soil moisture and soil nitrogen content) will be collected by JD n+1 The climate data of the day is used as the input data of the environmental analysis model. The environmental score of the node is obtained according to the environmental analysis model and marked as HJF;

[0037] The environmental analysis model is obtained by the following steps: obtaining multiple groups of growth environment data, each group of growth environment data includes climate data, light data, and soil data (the climate data, light data, and soil data are all data of the same day), constructing a neural network model, using the growth environment data as training data of the neural network model, assigning an environmental score to the training data, and the value range of the environmental score is (0-5], dividing the training data into a training set and a validation set according to a set ratio, and the set ratio of the training set to the validation set includes but is not limited to 1:3, 1:4, iteratively training the neural network model through the training set and the validation set, and obtaining the environmental analysis model after the training is completed;

[0038] Get the JD of the same node n The growth and development mean and JD n+1 The environmental score is calculated using the formula Get the base ratio FZB of the node, where b1 is the mean coefficient of growth and development, and the value of b1 is 0.97. Sort all base ratios according to the order of nodes, calculate the difference between the next adjacent base ratio and the previous base ratio after sorting, and get the base ratio difference. Set the base ratio difference threshold. When the base ratio difference is greater than or equal to the base ratio difference threshold, mark the base ratio difference as an excellent ratio difference. Sum all excellent ratio differences to get the total excellent ratio difference, and mark it as YXB. Get the total number of base ratio differences marked as excellent ratio differences, and mark it as BJZS. Set the base ratio threshold. Sum the base ratios of all nodes and take the average to get the base ratio mean, and mark it as JDBJ. Use the formula The planting adjustment value ZZT is obtained, where c1 is the total difference coefficient of the excellent ratio, c2 is the quantity coefficient of the excellent ratio difference, and c3 is the mean coefficient of the base ratio. The value of c1 is 0.87, the value of c2 is 0.49, and the value of c3 is 0.73;

[0039] Step 3: Set the planting adjustment high value and the planting adjustment low value, wherein the planting adjustment high value is greater than the planting adjustment low value;

[0040] When the planting adjustment value is greater than or equal to the planting adjustment high value, obtain JD n The leaf stage of the dual-purpose nuclear male sterile line planted in the field is used to obtain the range of leaf stages for transplanting (the transplanting time of rice is at the seedling stage (4-5 leaves) or tillering stage (5-6 leaves). The growth condition of rice at the above time is more suitable for transplanting, so the range of leaf stages for transplanting is 4-6 leaves). n When the leaf stage of the dual-purpose genic male sterile line planted in the area is within the range of the transplanting leaf stage, and JD n+1 When the best time for transplanting rice is reached, n m×Y% area (the range of Y is between 10-20, that is, the transplanted area range is 10% m area ~ 20% m area, the range of Y is based on JD n With JD n+1 The closer the distance, the larger the transplanting area, which is closer to 20% m2 area; the farther the distance, the smaller the transplanting area, which is closer to 10% m2 area. n+1 Inside, when JD n If the leaf stage of the dual-purpose nuclear male sterile line planted is not within the range of the transplanting leaf stage, no corresponding treatment will be performed;

[0041] When the planting adjustment value is less than or equal to the planting adjustment low value, when JD n+1When the best transplanting time is reached, the area of ​​JD is calculated according to m×Z% (Z ranges from 80 to 99, i.e., the transplanting area ranges from 80% m2 to 99% m2. The range of Z is adjusted according to the value of the planting adjustment low value. The smaller the planting adjustment low value, the closer it is to 80% m2. The larger the planting adjustment low value, the closer it is to 99% m2). n+1 Internal transplanting dual-purpose nuclear male sterile seedlings;

[0042] When the planting adjustment value is between the planting adjustment high value and the planting adjustment low value, when JD n+1 When the best time for transplanting rice is reached, the area is JD n+1 Dual-purpose nuclear sterile seedlings for internal transplanting.

[0043] The method of the present invention sorts the transplanting time of the dual-purpose nuclear sterile line in different breeding bases according to the optimal transplanting time, reasonably analyzes the growth condition of the seedlings of the dual-purpose nuclear sterile line in the adjacent and front breeding base, analyzes the environment of the adjacent and rear breeding base, combines the two breeding bases to analyze whether the dual-purpose nuclear sterile line needs to be transplanted, and analyzes the rationality of transplanting the dual-purpose nuclear sterile line, which can effectively cope with the special growth environment of the breeding base in the current year. When the growth environment of the breeding base in the current year is not conducive to the reproduction of the dual-purpose nuclear sterile line, the planting loss of the dual-purpose nuclear sterile line is avoided by timely transplanting, reducing planting and the like, and at the same time ensures the yield of the dual-purpose nuclear sterile line.

[0044] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0045] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0046] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0047] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0048] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0049] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0050] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0051] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent dual-purpose nuclear sterile line breeding method, characterized in that: The steps include: Step 1: Obtain the target base, calculate the optimal transplanting time of the dual-purpose nuclear sterile line at different target bases at the same starting temperature according to the sowing start period of the sterile line, sort the optimal transplanting time of different target bases in chronological order, and mark the target base as JD n， Where n is the number generated by the target base in sorting order, n is 1, 2, ..., n; Step 2: Become a JD n When the best time for transplanting rice is reached, the area is JD n In JD n The best time to plant rice and JD n+1 The optimal transplanting time is based on the preset cycle and continuous analysis of JD n The basic growth data of dual-purpose nuclear male sterile line seedlings and JD n+1 The growth environment data is used to obtain the growth and development mean and environmental score of each cycle node; Step 3: Obtain the planting adjustment value based on the growth and development mean and the environmental score, and determine the JD based on the planting adjustment value n With JD n+1 Whether transplanting is needed and determining JD n+1 of transplanting area; Among them, JD n+1 The growth environment data of JD is obtained by the following steps: At each preset period node, obtain JD n+1 The day's climate data, light data, and soil data will be n+1 The climate data of the day is used as the input data of the environmental analysis model. The environmental score of the node is obtained according to the environmental analysis model and marked as HJF; The environmental analysis model is obtained through the following steps: obtaining multiple sets of growth environment data, each set of growth environment data includes climate data, light data, and soil data, constructing a neural network model, using the growth environment data as training data for the neural network model, assigning an environmental score to the training data, and the value range of the environmental score is (0~5], dividing the training data into a training set and a validation set according to a set ratio, iteratively training the neural network model through the training set and the validation set, and obtaining the environmental analysis model after the training is completed; The planting adjustment value is obtained through the following steps: obtain the base ratio of each node, sort all base ratios according to the order of nodes, calculate the difference between the next adjacent base ratio after sorting and the previous base ratio, obtain the base ratio difference, set the base ratio difference threshold, when the base ratio difference is greater than or equal to the base ratio difference threshold, mark the base ratio difference as an excellent ratio difference, sum all excellent ratio differences to obtain the total excellent ratio difference, and mark it as YXB, obtain the total number of base ratio differences marked as excellent ratio differences, and mark it as BJZS, set the base ratio threshold, sum the base ratios of all nodes and take the average, obtain the base ratio mean, and mark it as JDBJ, use the formula The planting adjustment value ZZT is obtained, where c1 is the total difference coefficient of the excellent ratio, c2 is the quantity coefficient of the excellent ratio difference, and c3 is the mean coefficient of the base ratio; The base ratio FZB of a node is obtained by the following steps: Get the JD of the same node n The growth and development mean and JD n+1 The environmental score is calculated using the formula The base ratio FZB of the node is obtained, where b1 is the mean coefficient of growth and development.

2. The method for breeding an intelligent dual-purpose nuclear sterile line according to claim 1, characterized in that: The target base is marked and obtained in the following way: obtain the fertility-sensitive safety period model of the sterile line and the heading and flowering safety period model of the sterile line, collect the meteorological data of the breeding base through the meteorological observation station, select the breeding base that meets the two safety models according to the meteorological data, obtain the comprehensive breeding safety probability of the breeding base, set the comprehensive breeding safety probability threshold, and when the comprehensive breeding safety probability is greater than the comprehensive breeding safety probability threshold, mark the breeding base as the target base.

3. The method for breeding an intelligent dual-purpose nuclear sterile line according to claim 1, characterized in that: JD n The growth basic data of the dual-purpose nuclear male sterile line seedlings are obtained through the following steps: at each preset period node, n S number of dual-purpose nuclear male sterile seedlings are extracted from the seedlings, and the growth and development value of each dual-purpose nuclear male sterile seedling is analyzed according to the stem tiller number, plant height and SPAD value of the dual-purpose nuclear male sterile seedlings. The growth and development values ​​of all the extracted dual-purpose nuclear male sterile seedlings are summed and averaged to obtain the growth and development mean of the node, which is marked as SZFY. The growth and development base value is set. When the growth and development mean value is greater than or equal to the growth and development base value, the next preset period is JD n S number of dual-purpose nuclear male sterile seedlings are selected from the sample. When the mean growth value is less than the base value of growth, the next preset period is JD n The s+r number of dual-purpose nuclear sterile line seedlings were selected.

4. The method for breeding an intelligent dual-purpose nuclear sterile line according to claim 3, characterized in that: The growth and development value BYZ of each dual-purpose nuclear male sterile seedling was obtained by the following formula: the number of stems and tillers of each dual-purpose nuclear male sterile seedling was marked as NS, the plant height was marked as ZG, and the SPAD value was marked as SPZ. The growth and development value BYZ of each dual-purpose nuclear sterile line seedling was obtained, where a1 was the stem and tiller number coefficient, a2 was the plant height coefficient, and a3 was the SPAD value coefficient.

5. The method for breeding an intelligent dual-purpose nuclear sterile line according to claim 1, characterized in that: Determine JD based on planting adjustment value n With JD n+1 Whether transplanting is needed and determining JD n+1 The specific method is: set the planting adjustment high value and the planting adjustment low value. When the planting adjustment value is greater than or equal to the planting adjustment high value, obtain JD n The leaf stage of the dual-purpose nuclear male sterile line planted in the field is obtained to obtain the range of the transplanting leaf stage. n When the leaf stage of the dual-purpose genic male sterile line planted in the area is within the range of the transplanting leaf stage, and JD n+1 When the best time for transplanting rice is reached, n The dual-purpose genic male sterile lines within the m×Y% area were transplanted to JD n+1 When the planting adjustment value is less than or equal to the planting adjustment low value, when JD n+1 When the best time for transplanting is reached, the area of ​​JD n+1 For the seedlings of dual-purpose nuclear sterile lines for internal transplanting, when the planting adjustment value is between the planting adjustment high value and the planting adjustment low value, when JD n+1 When the best time for transplanting rice is reached, the area is JD n+1 The dual-purpose nuclear sterile seedlings for internal transplanting, wherein the range of Y is between 10-20, and the range of Z is between 80-99.

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