CN112956414A - Forest multi-character polymerization breeding system and method - Google Patents

Forest multi-character polymerization breeding system and method Download PDF

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CN112956414A
CN112956414A CN202110158562.9A CN202110158562A CN112956414A CN 112956414 A CN112956414 A CN 112956414A CN 202110158562 A CN202110158562 A CN 202110158562A CN 112956414 A CN112956414 A CN 112956414A
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forest
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丁昌俊
苏晓华
张伟溪
刘琦
黄秦军
董玉峰
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Research Institute of Forestry of Chinese Academy of Forestry
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01H—NEW PLANTS OR NON-TRANSGENIC PROCESSES FOR OBTAINING THEM; PLANT REPRODUCTION BY TISSUE CULTURE TECHNIQUES
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01C—PLANTING; SOWING; FERTILISING
    • A01C21/00—Methods of fertilising, sowing or planting
    • A01C21/005—Following a specific plan, e.g. pattern
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01H—NEW PLANTS OR NON-TRANSGENIC PROCESSES FOR OBTAINING THEM; PLANT REPRODUCTION BY TISSUE CULTURE TECHNIQUES
    • A01H1/00—Processes for modifying genotypes ; Plants characterised by associated natural traits
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    • G—PHYSICS
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Abstract

The invention belongs to the technical field of forest breeding and discloses a forest multi-character polymerization breeding system and a method, wherein the forest multi-character polymerization breeding system comprises: the device comprises a character determination module, a character classification module, a character subdivision module, a central control module, a character retention module, a hybridization module, a temperature monitoring and control module, a humidity monitoring and control module, an illumination monitoring and control module, a fertilization module, a transplanting module, a seed acquisition module, a cloud storage module and an updating display module. The invention has stricter control on the temperature, humidity and illumination of the forest, has better maintenance and promotion effect on the growth of the forest and is convenient for hybridization. According to the method, the classification of various characters is realized through cluster analysis of the forest characters, and a plurality of dominant characters similar to the breeding target are selected from the classes to obtain plants with outstanding characters and are hybridized, so that the obtained plants have more outstanding characters, can combine multiple advantages and are more competitive.

Description

Forest multi-character polymerization breeding system and method
Technical Field
The invention belongs to the technical field of forest breeding, and particularly relates to a forest multi-character polymerization breeding system and method.
Background
At present, forest breeding refers to a technique for genetic improvement of forest trees according to a predetermined purpose, and the mechanism is to select, separate and propagate a population or an individual meeting the purpose from the variation and differentiation of forest tree populations under natural or artificial action. The main approaches include introduction and domestication (see forest introduction), seed source test, selective breeding, crossbreeding, haploid and polyploid breeding (see ploidy breeding), radiation mutagenesis (see mutation breeding), and the like. The breeding mode of improved variety includes mother forest, seed garden, cutting orchard, etc. The selected and improved forest propagation material is collectively called improved variety in production. But the fundamental task of forest breeding is to create a forest fine variety group with quality and yield meeting the production requirement, stable inheritance of characters and adaptation to certain natural and cultivation conditions so as to fully utilize natural production potential and bring into play various benefits of forests. However, at present, no method for performing multi-character polymerization breeding on trees exists, and combined breeding of various advantageous characters cannot be realized.
Through the above analysis, the problems and defects of the prior art are as follows: at present, a method for performing multi-character polymerization breeding on trees is not available, and combined breeding of various advantageous characters cannot be realized.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a forest multi-character polymerization breeding system and method.
The invention is realized in such a way, and the method for forest multi-character polymerization breeding comprises the following steps:
firstly, determining the phenotypic characters of the forest plants by using a character determination program through a character determination module; acquiring collected forest plant phenotypic character data through a character classification module, sorting the character data, and screening descriptive phenotypic character data and numerical phenotypic character data;
acquiring descriptive phenotypic character data, and performing numerical processing on the descriptive phenotypic character data by using a character classification program to obtain numerical phenotypic character data; respectively taking each obtained numerical phenotypic trait data and each numerical phenotypic trait data obtained by processing as a data object by adopting a K-means cluster analysis mode, and then randomly setting K central objects; respectively calculating Euclidean distances from each data object to each central object; for any data object, putting the data object and the central object with the minimum Euclidean distance into a class set to form K class sets, wherein K is more than or equal to 2; for any class set, taking the mean value of all data objects in the class set as a new central object; judging whether the new central object is the same as the previous central object or not; if the data objects are different from the central object with the minimum Euclidean distance, the data objects and the central object with the minimum Euclidean distance are continuously put into a class set; taking the finally determined K class sets as K clustering clusters to obtain a clustering analysis result of the phenotypic characters; meanwhile, the characters of the forest plants are classified according to the clustering analysis result;
step two, subdividing breeding target characters by using a character subdivision program through a character subdivision module, and screening to obtain key character factors needing key improvement; splitting property sets of different categories, selecting one or more properties which are close to the target properties in the same category to be arranged in the front, and arranging the rest properties in the rearmost; the shape of the forest is improved according to key character factors which need to be improved in a key mode;
thirdly, reserving plants with the characters with high association degree with the target characters by using a character reserving program through a character reserving module; meanwhile, plants with low association degree with the target character or the character needing to be improved are eliminated; reserving plants as parents of multi-character polymerization breeding in a greenhouse by a hybridization module through a hybridization program for hybridization;
monitoring the temperature of the area where the planted forest is located by using a temperature monitoring program through a temperature monitoring and control module, and controlling the temperature by combining a heater and a refrigerator through a temperature control program; monitoring the humidity of the area where the planted trees are located by utilizing a humidity monitoring program through a humidity monitoring and control module, and controlling the soil humidity by combining an irrigation pipeline through a humidity control program; monitoring the illumination of the area where the planted forest is located by utilizing an illumination monitoring program through an illumination monitoring and control module, and controlling the intensity/weakness of the illumination by combining an illumination control program with a shading curtain;
step five, applying a forest compound fertilizer to the planted trees by using a fertilizing program through a fertilizing module, wherein the fertilizing amount of the planted trees is 0.35kg per plant; cultivating the hybridized forest plants by using a transplanting program through a transplanting module, transplanting the cultivated plants, acquiring fruits of the forest by using a seed acquisition program through a seed acquisition module, and stripping seeds;
step six, storing the measured forest plant phenotypic characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and real-time data of illumination intensity by using a cloud database server through a cloud storage module; and updating the determined phenotypic characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data of the forest plants by using an updating program through an updating display module, and displaying the data in real time through a display.
Further, in step four, the calculation method of the euclidean distance from each data object to each center object is as follows:
Figure BDA0002934778350000031
wherein D isabRepresenting Euclidean distance, x1Representing data objects, x2Representing a central object, a1...akRepresenting trait data within each data object, b1...bkRepresenting the data within each central object.
Further, in the sixth step, the method for classifying the properties of the forest plants according to the clustering analysis result comprises the following steps:
(1) acquiring collected phenotypic character data of forest plants and character cluster analysis results of the forest plants;
(2) performing correlation analysis and comparison on the obtained characteristic cluster analysis result of the forest plant;
(3) if the correlation comparison results are similar, dividing the ratio and the acceptance ratio into the same category;
(3) if the correlation comparison result is far, determining that the comparison ratio and the acceptance ratio are not the same type, and returning to the step (2) to compare the acceptance ratio with another comparison ratio.
Further, in the ninth step, the method of reserving plants with a high association degree with the target trait by the trait reservation module using the trait reservation program and eliminating plants with a low association degree with the target trait or a trait that needs to be improved comprises the following steps:
determining the proportion and the total elimination number of each character according to the scale of a breeding group and the observed value of each character; and determining a elimination sequence according to the character subdivision.
Further, in step ten, the method for cross breeding the retained plant as a parent of multi-trait polymerization breeding by using a cross breeding program through a cross breeding module comprises the following steps:
taking one of the reserved characters as an F1 generation hybrid female parent, and taking the other of the reserved characters as an F1 generation hybrid male parent to obtain a first hybrid generation F1; selfing the F1 generation to obtain multiple-character polymerized breeding plants.
Further, in the fourteenth step, the forest compound fertilizer is composed of, by mass, 12-28 parts of a compound fertilizer, 11-15 parts of rape straw, 1-2 parts of citric acid, 3-6 parts of coal gangue powder and 45-70 parts of distilled water.
Furthermore, in the compound fertilizer, the mass ratio of nitrogen, phosphorus and potassium elements is 6:2: 1.
Another object of the present invention is to provide a forest multi-trait pyramiding breeding system, comprising:
the temperature monitoring and controlling module is connected with the central control module and is used for monitoring the temperature of the area where the planted forest is located through a temperature monitoring program and controlling the temperature to be high or low through a temperature control program in combination with the heater and the refrigerator;
the humidity monitoring and controlling module is connected with the central control module and is used for monitoring the humidity of the area where the planted trees are located through a humidity monitoring program and controlling the soil humidity through a humidity control program in combination with an irrigation pipeline;
the illumination monitoring and control module is connected with the central control module and is used for monitoring illumination of the area where the planted forest is located through an illumination monitoring program and controlling the intensity/weakness of the illumination through the illumination control program in combination with a shading curtain;
the central control module is connected with the temperature monitoring and control module, the humidity monitoring and control module, the illumination monitoring and control module, the fertilization module, the hybridization module, the transplanting module, the character determination module, the character classification module, the character subdivision module, the character retention module, the seed acquisition module, the cloud storage module and the updating display module and is used for controlling the normal operation of each module of the forest multi-character polymerization breeding system through the central processing unit;
the fertilization module is connected with the central control module and is used for applying the forest compound fertilizer to the planted forest through a fertilization program;
the hybridization module is connected with the central control module and is used for hybridizing the reserved plants as the parents of the multi-character polymerization breeding in a greenhouse through a hybridization program;
the transplanting module is connected with the central control module and used for culturing the hybridized forest plants through a transplanting program and transplanting the cultured plants;
the character determination module is connected with the central control module and is used for determining the phenotypic characters of the forest plants through a character determination program;
the character classification module is connected with the central control module and is used for carrying out character clustering analysis through a character classification program and carrying out character classification according to an analysis result;
the character subdivision module is connected with the central control module and is used for subdividing breeding target characters through a character subdivision program and screening key character factors needing important improvement;
the character retention module is connected with the central control module and is used for retaining the plants with the characters with high association degree with the target characters through a character retention program and eliminating the plants with low association degree with the target characters or the characters needing improvement;
the seed acquisition module is connected with the central control module and used for acquiring fruits of the forest trees through a seed acquisition program and stripping seeds;
the cloud storage module is connected with the central control module and used for storing the measured forest plant phenotype characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data through the cloud database server;
and the updating display module is connected with the central control module and used for updating the measured forest plant phenotype characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data through an updating program and displaying the data in real time through a display.
Another object of the present invention is to provide a computer program product stored on a computer readable medium, comprising a computer readable program, which when executed on an electronic device, provides a user input interface to implement the method for forest multi-trait pyramiding breeding.
Another object of the present invention is to provide a computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the method for forest multi-trait pyramiding breeding.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the method, the classification of various characters is realized through cluster analysis of the forest characters, and a plurality of dominant characters similar to the breeding target are selected from the classes to obtain plants with outstanding characters and are hybridized, so that the obtained plants have more outstanding characters, can combine multiple advantages and are more competitive. Meanwhile, the invention has stricter control on the temperature, humidity and illumination of the forest, has better maintenance and promotion effects on the growth of the forest and is convenient for hybridization.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
FIG. 1 is a flow chart of a forest multi-trait pyramiding breeding method provided by an embodiment of the invention.
FIG. 2 is a block diagram of a forest multi-trait pyramiding breeding system provided by an embodiment of the invention;
in the figure: 1. a temperature monitoring and control module; 2. a humidity monitoring and control module; 3. an illumination monitoring and control module; 4. a central control module; 5. a fertilizing module; 6. a hybridization module; 7. a transplanting module; 8. a trait determination module; 9. a character classification module; 10. a character subdivision module; 11. a character retention module; 12. a seed acquisition module; 13. a cloud storage module; 14. and updating the display module.
Fig. 3 is a flowchart of a method for performing trait cluster analysis by a trait classification program according to an embodiment of the present invention.
FIG. 4 is a flowchart of a method for classifying the characteristics of forest plants according to the cluster analysis result provided by the embodiment of the present invention.
Fig. 5 is a flowchart of a method for dividing a breeding target trait by a trait division module using a trait division program according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a forest multi-trait polymerization breeding system and method, and the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the method for forest multi-trait pyramiding breeding provided by the embodiment of the present invention includes the following steps:
s101, measuring the phenotypic characters of the forest plants by using a character measuring program through a character measuring module; and acquiring the collected phenotypic character data of the forest plants through a character classification module, sorting the character data, and screening out descriptive phenotypic character data and numerical phenotypic character data.
S102, a character subdivision module is used for subdividing breeding target characters by utilizing a character subdivision program, and key character factors needing key improvement are obtained through screening; splitting property sets of different categories, selecting one or more properties which are close to the target properties in the same category to be arranged in the front, and arranging the rest properties in the rearmost; and (4) according to key character factors which need to be improved in a key mode, the shape of the forest is improved.
S103, reserving plants with the characters with high association degree with the target characters by using a character reserving program through a character reserving module; meanwhile, plants with low association degree with the target character or the character needing to be improved are eliminated; the remaining plants are crossed in the greenhouse as parents for multi-trait pyramiding breeding using a hybridization program through a hybridization module.
S104, monitoring the temperature of the area where the planted forest is located by using a temperature monitoring program through a temperature monitoring and control module, and controlling the temperature to be high or low through a temperature control program in combination with a heater and a refrigerator; monitoring the humidity of the area where the planted trees are located by utilizing a humidity monitoring program through a humidity monitoring and control module, and controlling the soil humidity by combining an irrigation pipeline through a humidity control program; the illumination of the area where the planted forest is located is monitored by the illumination monitoring and controlling module through an illumination monitoring program, and the illumination intensity/weakness is controlled by combining the illumination controlling program with a shading curtain.
S105, applying a forest compound fertilizer to the planted trees by using a fertilizing program through a fertilizing module, wherein the fertilizing amount of the planted trees is 0.35kg per plant; and culturing the hybridized forest plants by using a transplanting program through a transplanting module, transplanting the cultured plants, acquiring fruits of the forest trees by using a seed acquiring program through a seed acquiring module, and stripping seeds.
S106, storing the measured forest plant phenotype characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and real-time data of illumination intensity by using a cloud database server through a cloud storage module; and updating the determined phenotypic characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data of the forest plants by using an updating program through an updating display module, and displaying the data in real time through a display.
As shown in fig. 2, the forest multi-trait converging breeding system provided by the embodiment of the present invention includes:
the temperature monitoring and controlling module 1 is connected with the central control module 4 and is used for monitoring the temperature of the area where the planted forest is located through a temperature monitoring program and controlling the temperature by combining a heater and a refrigerator through a temperature control program;
the humidity monitoring and controlling module 2 is connected with the central control module 4 and is used for monitoring the humidity of the area where the planted forest is located through a humidity monitoring program and controlling the soil humidity through a humidity control program in combination with an irrigation pipeline;
the illumination monitoring and control module 3 is connected with the central control module 4 and is used for monitoring illumination of the area where the planted forest is located through an illumination monitoring program and controlling the intensity/weakness of the illumination through the illumination control program in combination with a shading curtain;
the central control module 4 is connected with the temperature monitoring and control module 1, the humidity monitoring and control module 2, the illumination monitoring and control module 3, the fertilization module 5, the hybridization module 6, the transplantation module 7, the character determination module 8, the character classification module 9, the character subdivision module 10, the character retention module 11, the seed acquisition module 12, the cloud storage module 13 and the update display module 14, and is used for controlling the normal operation of each module of the multi-character forest polymerization breeding system through a central processing unit;
the fertilization module 5 is connected with the central control module 4 and is used for applying the forest compound fertilizer to the planted forest through a fertilization program;
a hybridization module 6 connected with the central control module 4 and used for hybridizing the reserved plants as the parents of the multi-character polymerization breeding in the greenhouse through a hybridization program;
the transplanting module 7 is connected with the central control module 4 and used for culturing the hybridized forest plants through a transplanting program and transplanting the cultured plants;
the character determination module 8 is connected with the central control module 4 and is used for determining the phenotypic characters of the forest plants through a character determination program;
the character classification module 9 is connected with the central control module 4 and is used for carrying out character clustering analysis through a character classification program and carrying out character classification according to an analysis result;
the character subdivision module 10 is connected with the central control module 4 and is used for subdividing breeding target characters through a character subdivision program and screening key character factors needing important improvement;
the character retention module 11 is connected with the central control module 4 and is used for retaining the plants with the characters with high association degree with the target characters through a character retention program and eliminating the plants with low association degree with the target characters or the characters needing improvement;
the seed acquisition module 12 is connected with the central control module 4 and used for acquiring fruits of trees through a seed acquisition program and stripping seeds;
the cloud storage module 13 is connected with the central control module 4 and is used for storing the measured forest plant phenotypic characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data through a cloud database server;
and the updating display module 14 is connected with the central control module 4 and is used for updating the measured forest plant phenotype characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data through an updating program and displaying the data in real time through a display.
The invention is further described with reference to specific examples.
Example 1
Fig. 1 shows a method for forest multi-trait pyramiding breeding according to an embodiment of the present invention, and fig. 3 shows a preferred embodiment, the method for performing trait clustering analysis by a trait classification program according to an embodiment of the present invention includes:
s201, acquiring the collected phenotypic character data of the forest plants through a character classification module, sorting the character data, and screening out descriptive phenotypic character data and numerical phenotypic character data.
S202, obtaining descriptive phenotypic character data, and carrying out numerical processing on the descriptive phenotypic character data by using a character classification program to obtain numerical phenotypic character data.
S203, respectively using each numerical phenotypic trait data obtained in the first step and each numerical phenotypic trait data obtained through the second step as a data object by adopting a K-means cluster analysis mode, and then randomly setting K central objects.
S204, respectively calculating the Euclidean distance from each data object to each central object; for any data object, putting the data object and the central object with the minimum Euclidean distance into a class set to form K class sets, wherein K is more than or equal to 2.
S205, regarding any class set, taking the mean value of all data objects in the class set as a new center object; judging whether the new central object is the same as the previous central object or not; if so, executing S206; if not, return to S204.
S206, taking the finally determined K class sets as K clustering clusters to obtain a clustering analysis result of the phenotypic characters; and meanwhile, carrying out character classification on the forest plants according to the clustering analysis result.
In step S204 provided in the embodiment of the present invention, the method for calculating the euclidean distance between each data object and each center object includes:
Figure BDA0002934778350000101
wherein D isabRepresenting Euclidean distance, x1Representing data objects, x2Representing a central object, a1...akRepresenting trait data within each data object, b1...bkRepresenting the data within each central object.
Example 2
The method for forest multi-trait pyramiding breeding provided by the embodiment of the invention is shown in fig. 1, and as a preferred embodiment, as shown in fig. 4, the method for classifying the traits of forest plants according to the clustering analysis result provided by the embodiment of the invention comprises the following steps:
s301, acquiring the collected phenotypic character data of the forest plants and the character cluster analysis result of the forest plants.
S302, performing correlation analysis and comparison on the obtained characteristic cluster analysis result of the forest plant.
S303, if the correlation comparison results are similar, dividing the ratio and the acceptance ratio into the same category.
S304, if the correlation comparison result is far, determining that the comparison ratio and the acceptance ratio are not the same type, returning to S302, and comparing the acceptance ratio and the other comparison ratio.
Example 3
As shown in fig. 1, and as a preferred embodiment, as shown in fig. 5, the method for forest multi-trait pyramiding breeding provided in the embodiment of the present invention, using a trait pyramiding program to dissect breeding target traits through a trait subdivision module, includes:
s401, screening to obtain key character factors needing important improvement;
s402, splitting the property sets of different categories, selecting one or more properties which are close to the target property in the same category to be arranged in the front, and arranging the rest properties in the rearmost;
and S403, improving the shape of the forest tree according to key character factors which need to be improved in a key mode.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A forest multi-character polymerization breeding method is characterized by comprising the following steps:
firstly, determining the phenotypic characters of the forest plants by using a character determination program through a character determination module; acquiring collected forest plant phenotypic character data through a character classification module, sorting the character data, and screening descriptive phenotypic character data and numerical phenotypic character data;
acquiring descriptive phenotypic character data, and performing numerical processing on the descriptive phenotypic character data by using a character classification program to obtain numerical phenotypic character data; respectively taking each obtained numerical phenotypic trait data and each numerical phenotypic trait data obtained by processing as a data object by adopting a K-means cluster analysis mode, and then randomly setting K central objects; respectively calculating Euclidean distances from each data object to each central object; for any data object, putting the data object and the central object with the minimum Euclidean distance into a class set to form K class sets, wherein K is more than or equal to 2; for any class set, taking the mean value of all data objects in the class set as a new central object; judging whether the new central object is the same as the previous central object or not; if the data objects are different from the central object with the minimum Euclidean distance, the data objects and the central object with the minimum Euclidean distance are continuously put into a class set; taking the finally determined K class sets as K clustering clusters to obtain a clustering analysis result of the phenotypic characters; meanwhile, the characters of the forest plants are classified according to the clustering analysis result;
step two, subdividing breeding target characters by using a character subdivision program through a character subdivision module, and screening to obtain key character factors needing key improvement; splitting property sets of different categories, selecting one or more properties which are close to the target properties in the same category to be arranged in the front, and arranging the rest properties in the rearmost; the shape of the forest is improved according to key character factors which need to be improved in a key mode;
thirdly, reserving plants with the characters with high association degree with the target characters by using a character reserving program through a character reserving module; meanwhile, plants with low association degree with the target character or the character needing to be improved are eliminated; reserving plants as parents of multi-character polymerization breeding in a greenhouse by a hybridization module through a hybridization program for hybridization;
monitoring the temperature of the area where the planted forest is located by using a temperature monitoring program through a temperature monitoring and control module, and controlling the temperature by combining a heater and a refrigerator through a temperature control program; monitoring the humidity of the area where the planted trees are located by utilizing a humidity monitoring program through a humidity monitoring and control module, and controlling the soil humidity by combining an irrigation pipeline through a humidity control program; monitoring the illumination of the area where the planted forest is located by utilizing an illumination monitoring program through an illumination monitoring and control module, and controlling the intensity/weakness of the illumination by combining an illumination control program with a shading curtain;
step five, applying a forest compound fertilizer to the planted trees by using a fertilizing program through a fertilizing module, wherein the fertilizing amount of the planted trees is 0.35kg per plant; cultivating the hybridized forest plants by using a transplanting program through a transplanting module, transplanting the cultivated plants, acquiring fruits of the forest by using a seed acquisition program through a seed acquisition module, and stripping seeds;
step six, storing the measured forest plant phenotypic characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and real-time data of illumination intensity by using a cloud database server through a cloud storage module; and updating the determined phenotypic characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data of the forest plants by using an updating program through an updating display module, and displaying the data in real time through a display.
2. The method for forest multi-trait pyramiding breeding according to claim 1, wherein in step four, the euclidean distance between each data object and each central object is calculated as follows:
Figure FDA0002934778340000021
wherein D isabRepresenting Euclidean distance, x1Representing data objects, x2Representing a central object, a1...akRepresenting trait data within each data object, b1...bkRepresenting the data within each central object.
3. The method for forest multi-trait pyramiding breeding according to claim 1, wherein in step six, the method for classifying the traits of forest plants according to cluster analysis results comprises:
(1) acquiring collected phenotypic character data of forest plants and character cluster analysis results of the forest plants;
(2) performing correlation analysis and comparison on the obtained characteristic cluster analysis result of the forest plant;
(3) if the correlation comparison results are similar, dividing the ratio and the acceptance ratio into the same category;
(3) if the correlation comparison result is far, determining that the comparison ratio and the acceptance ratio are not the same type, and returning to the step (2) to compare the acceptance ratio with another comparison ratio.
4. The method for multi-trait forest breeding according to claim 1, wherein in the ninth step, the method for retaining the plants with the traits that are highly correlated with the target traits by the trait retention module through the trait retention program and simultaneously eliminating the plants with the traits that are less correlated with the target traits or need to be improved comprises the following steps:
determining the proportion and the total elimination number of each character according to the scale of a breeding group and the observed value of each character; and determining a elimination sequence according to the character subdivision.
5. The method for multiple trait co-breeding of forest trees as claimed in claim 1, wherein in step ten, the method for cross breeding the reserved plant as the parent of multiple trait co-breeding by cross breeding program through cross breeding module comprises:
taking one of the reserved characters as an F1 generation hybrid female parent, and taking the other of the reserved characters as an F1 generation hybrid male parent to obtain a first hybrid generation F1; selfing the F1 generation to obtain multiple-character polymerized breeding plants.
6. The method for multi-character polymerization breeding of forest trees as claimed in claim 1, wherein in the fourteenth step, the compound fertilizer for forest trees comprises, by mass, 12-28 parts of compound fertilizer, 11-15 parts of rape straw, 1-2 parts of citric acid, 3-6 parts of coal gangue powder and 45-70 parts of distilled water.
7. The method for multi-trait forest polymerization breeding according to claim 6, wherein the mass ratio of nitrogen, phosphorus and potassium elements in the compound fertilizer is 6:2: 1.
8. A forest multi-trait pyramiding breeding system using the forest multi-trait pyramiding breeding method as claimed in any one of claims 1 to 7, wherein the forest multi-trait pyramiding breeding system comprises:
the temperature monitoring and controlling module is connected with the central control module and is used for monitoring the temperature of the area where the planted forest is located through a temperature monitoring program and controlling the temperature to be high or low through a temperature control program in combination with the heater and the refrigerator;
the humidity monitoring and controlling module is connected with the central control module and is used for monitoring the humidity of the area where the planted trees are located through a humidity monitoring program and controlling the soil humidity through a humidity control program in combination with an irrigation pipeline;
the illumination monitoring and control module is connected with the central control module and is used for monitoring illumination of the area where the planted forest is located through an illumination monitoring program and controlling the intensity/weakness of the illumination through the illumination control program in combination with a shading curtain;
the central control module is connected with the temperature monitoring and control module, the humidity monitoring and control module, the illumination monitoring and control module, the fertilization module, the hybridization module, the transplanting module, the character determination module, the character classification module, the character subdivision module, the character retention module, the seed acquisition module, the cloud storage module and the updating display module and is used for controlling the normal operation of each module of the forest multi-character polymerization breeding system through the central processing unit;
the fertilization module is connected with the central control module and is used for applying the forest compound fertilizer to the planted forest through a fertilization program;
the hybridization module is connected with the central control module and is used for hybridizing the reserved plants as the parents of the multi-character polymerization breeding in a greenhouse through a hybridization program;
the transplanting module is connected with the central control module and used for culturing the hybridized forest plants through a transplanting program and transplanting the cultured plants;
the character determination module is connected with the central control module and is used for determining the phenotypic characters of the forest plants through a character determination program;
the character classification module is connected with the central control module and is used for carrying out character clustering analysis through a character classification program and carrying out character classification according to an analysis result;
the character subdivision module is connected with the central control module and is used for subdividing breeding target characters through a character subdivision program and screening key character factors needing important improvement;
the character retention module is connected with the central control module and is used for retaining the plants with the characters with high association degree with the target characters through a character retention program and eliminating the plants with low association degree with the target characters or the characters needing improvement;
the seed acquisition module is connected with the central control module and used for acquiring fruits of the forest trees through a seed acquisition program and stripping seeds;
the cloud storage module is connected with the central control module and used for storing the measured forest plant phenotype characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data through the cloud database server;
and the updating display module is connected with the central control module and used for updating the measured forest plant phenotype characters, character classification results, character subdivision results, reserved characters, temperature and humidity data and illumination intensity data through an updating program and displaying the data in real time through a display.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing a method of forest multi-trait pyramiding breeding as claimed in any one of claims 1 to 7 when executed on an electronic device.
10. A computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method of forest multi-trait pyramiding breeding as claimed in any one of claims 1 to 7.
CN202110158562.9A 2021-02-04 2021-02-04 Forest multi-character polymerization breeding system and method Pending CN112956414A (en)

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CN110301184A (en) * 2019-07-11 2019-10-08 仲恺农业工程学院 A kind of crop science engineering breeding information processing system and method

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CN110301184A (en) * 2019-07-11 2019-10-08 仲恺农业工程学院 A kind of crop science engineering breeding information processing system and method

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116076353A (en) * 2022-11-28 2023-05-09 北京中农斯达农业科技开发有限公司 Anthocyanin-rich purple corn breeding system and method

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