A method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones

Abstract

The present invention discloses a method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones, aiming to provide a technical means for quickly and accurately evaluating the growth performance and adaptability of eucalyptus clones under different environmental conditions and selecting the best ones. The method comprises the following steps: first, collecting the growth and trait data of eucalyptus clones under different geographical locations and environmental conditions; second, using a statistical analysis model to process the collected data, analyzing the growth differences between different clones and their correlation with environmental factors; third, combining the genetic information of the clones, constructing an asexual clone adaptability evaluation index system; finally, comprehensively evaluating the eucalyptus clones, and screening out excellent asexual clones with fast growth, strong adaptability and high stability. The method adopts the results of multi-environment tests combined with modern statistical analysis and genetic principles, and can effectively evaluate the performance of asexual clones in a variety of environments, and comprehensively evaluate their most suitable environments.

Description

Technical Field

[0001] The invention specifically relates to the technical field of eucalyptus planting, and specifically relates to a method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones. Background Art

[0002] As an important industrial timber species, eucalyptus plays an important role in meeting the growing global demand for timber supply.

[0003] In the existing eucalyptus breeding strategy, the cultivation of fast-growing eucalyptus clones can quickly meet the demand for wood, but the premise is that it is necessary to select excellent clones suitable for the region based on regional tests of clones for promotion and application. Therefore, regional tests using existing technologies provide a basis for breeding varieties with a wide range of adaptability, and reflect the growth status and characteristics of plants, and the stability of varieties.

[0004] However, regional trials also have genotype-environment interactions that affect the performance of varieties in different environments. Therefore, there is still a lack of methods for variety selection based on the interaction effect between eucalyptus genotype and environment. Summary of the invention

[0005] Based on the above-mentioned deficiencies of the prior art, the present invention provides a method, device and storage medium for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones.

[0006] On the one hand, the present invention provides a method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones, comprising: obtaining growth and trait data of a number of eucalyptus clones to be evaluated under different geographical locations and environmental conditions; determining the growth differences between different eucalyptus clones to be evaluated and the degree of correlation with environmental factors according to the growth and trait data under different geographical locations and environmental conditions; calculating the adaptability evaluation index of the eucalyptus clones according to the growth differences between the different eucalyptus clones to be evaluated and the degree of correlation with environmental factors, and in combination with the genetic information of the eucalyptus clones to be evaluated; and determining the excellent evaluation index of the eucalyptus clones based on the adaptability evaluation index of the eucalyptus clones.

[0007] It should be further explained that the step of determining the growth differences between the different eucalyptus asexual lines to be evaluated and their correlation with environmental factors based on the growth and trait data under the different geographical locations and environmental conditions includes: determining the environmental factors, and obtaining the environmental factor data and the trait and growth data corresponding to the environmental factors; calculating the single geographical location correlation coefficient of the environmental factors and the trait and growth data corresponding to the environmental factors; based on the single geographical location correlation coefficient, determining the correlation between the environmental factors and the trait and growth data corresponding to the environmental factors of the different eucalyptus asexual lines to be evaluated in different geographical locations.

[0008] It should be further explained that before obtaining the growth and trait data of several eucalyptus clones to be evaluated in different geographical locations and environmental conditions, several eucalyptus clones were planted in different geographical locations and environmental conditions, and the planting design adopted a completely randomized block design.

[0009] It should be further explained that the step of calculating the adaptability evaluation index of the eucalyptus asexual line according to the growth differences between the different eucalyptus asexual lines to be evaluated and the degree of correlation with environmental factors, and in combination with the genetic information of the eucalyptus asexual lines to be evaluated, includes: obtaining the variances of several traits of the eucalyptus asexual lines to be evaluated, and calculating the heritability based on the trait variances; determining the environmental factor influence index in combination with the heritability; and calculating the adaptability evaluation index of the eucalyptus asexual lines in different geographical locations based on the environmental factor influence index.

[0010] It should be further explained that, according to the adaptability evaluation index of eucalyptus clones, determining the excellent evaluation index of eucalyptus clones includes: sorting the adaptability evaluation index of eucalyptus clones, and determining the excellent evaluation index of eucalyptus clones according to the sorting order.

[0011] It should be further explained that before obtaining the variances of several traits of the eucalyptus clones to be evaluated and calculating the heritability based on the trait variances, a linear mixed model is used to calculate the trait variances.

[0012] In a second aspect, the present invention provides a device for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones, comprising: an acquisition module, used to obtain growth and trait data of a number of eucalyptus clones to be evaluated under different geographical locations and environmental conditions; a first determination module, used to determine the growth differences between different eucalyptus clones to be evaluated and the degree of correlation with environmental factors according to the growth and trait data under different geographical locations and environmental conditions; a calculation module, used to calculate the adaptability evaluation index of the eucalyptus clones according to the growth differences between the different eucalyptus clones to be evaluated and the degree of correlation with environmental factors, and in combination with the genetic information of the eucalyptus clones to be evaluated; a second determination module, used to determine the excellent evaluation index of the eucalyptus clones based on the adaptability evaluation index of the eucalyptus clones.

[0013] In a third aspect, the present invention provides a storage medium storing a computer program, which, when executed on a computer, implements the method for evaluating the environmental adaptability of eucalyptus clones and selecting superior clones provided by the present invention.

[0014] In a fourth aspect, the present invention provides a terminal, comprising a processor and a memory, wherein the memory stores a computer program, and the processor implements the method for evaluating the environmental adaptability of eucalyptus asexual lines and selecting excellent asexual lines provided by the present invention by calling the computer program stored in the memory.

[0015] Beneficial effects:

[0016] The present invention analyzes the growth trait data and environmental factors of eucalyptus clones in different geographical locations, calculates the correlation between the growth trait data and the environmental factors, then combines the correlation between the growth trait data and the environmental factors with the genetic information of the eucalyptus clones, and calculates different evaluation indicators to evaluate the adaptability and excellence of the eucalyptus clones. It can be seen that the present invention uses multi-environment test results combined with modern statistical analysis and genetic principles, can effectively evaluate the performance of clones in various environments, and comprehensively evaluate their most suitable environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of a scenario of a method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in an embodiment of the present application.

[0018] Figure 2 The first flow chart of the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in the embodiments of the present application is provided in the embodiments of the present application.

[0019] Figure 3The embodiment of the present application provides a second flow chart of the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in the embodiment of the present application.

[0020] Figure 4 The third flow chart of the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in the embodiments of the present application is provided in the embodiments of the present application.

[0021] Figure 5 The first structural schematic diagram of the device for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in the embodiments of the present application is provided in the embodiments of the present application. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0023] See also Figure 1 The method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones in the embodiment of the present application is mainly used for the environmental adaptability of eucalyptus clones and the selection of excellent clones. The terminal 101 can collect the growth and trait data of the eucalyptus clones, and upload the collected data to the server 102. The server 102 calculates the adaptability evaluation index of the eucalyptus clones through the collected growth and trait data, combined with the geographical location data and the environmental condition data, and determines the evaluation index of different excellent eucalyptus clone varieties.

[0024] It should be noted that, for the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones described in the embodiment of the present application, a person of ordinary skill in the art can understand that all or part of the process of implementing the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones described in the embodiment of the present application can be completed by controlling the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, such as stored in a data storage system, and executed by at least one processor, and the execution process may include the process of the embodiment of evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), etc.

[0025] In some embodiments, see Figure 2 , Figure 2The first flow chart of the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in the embodiment of the present application. The specific flow chart of the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones can be as follows:

[0026] 110. Obtain growth and trait data of several eucalyptus clones to be evaluated in different geographical locations and environmental conditions.

[0027] Among them, geographic location information may include longitude, latitude, altitude, and climate zone; environmental condition information may include soil type, average annual precipitation, average annual temperature, average annual light intensity, humidity, wind direction and speed, atmospheric oxygen concentration, CO2 concentration, etc.; growth and trait data may include: tree height, breast diameter, trunk inclination, leaf size, leaf shape, tree axis diameter, crown shape, root development, tree height, etc.

[0028] For example, before day t, a wireless sensor is installed at the bottom of the trunk of each eucalyptus clone to be evaluated. The sensor has a built-in accelerometer and can monitor the inclination angle of each eucalyptus tree to be tested. The specific principle can be referred to the gyroscope of a smartphone, and this embodiment will not be described in detail. From day t, the wireless sensor is set to send data to the cloud server at a fixed time, thereby obtaining the inclination of the eucalyptus trunk.

[0029] For example, before day t, a tree growth monitor is installed on the trunk of each eucalyptus clone to be evaluated, which can monitor the breast diameter of each eucalyptus to be tested. From day t, the tree growth monitor is set to send the breast diameter data to the cloud server at a regular interval. For example, the radar technology can also be used to obtain the detailed three-dimensional information of the ground object, thereby realizing the measurement of the parameters such as the height and breast diameter of the eucalyptus to be tested. This is a prior art, and this embodiment will not be described in detail.

[0030] For example, the volume of the eucalyptus to be measured can be measured by a handheld measuring machine, and the measured eucalyptus volume data can be uploaded to a cloud server. This is a smart wood volume measurement product based on machine vision, which is a prior art and will not be described in detail in this embodiment.

[0031] 120. Determine the growth differences between the different eucalyptus clones to be evaluated and their correlation with environmental factors based on the growth and trait data under the different geographical locations and environmental conditions.

[0032] For example, the growth differences between different eucalyptus clones and their correlation with environmental factors can be determined based on heritability. Among them, temperature can be regarded as an environmental factor, denoted as a, and there are three different eucalyptus clones, denoted as A, B, and C, which are planted in three locations, denoted as X, Y, and Z, respectively.

[0033] The Pearson correlation coefficient can be used to calculate the correlation coefficients between the tree heights of the three different eucalyptus clones in site X, site Y, and site Z and a respectively.

[0034] Take the case of Eucalyptus clone A at location X: Assume that the correlation coefficient between temperature and tree height is -0.29, which means that when the temperature rises, the tree height decreases. Therefore, at location X, the tree height of Eucalyptus clone A is affected by temperature and shows a negative correlation, that is, when the temperature rises, the tree height decreases.

[0035] 130. Calculate an evaluation index for adaptability of eucalyptus clones based on the growth differences among the different eucalyptus clones to be evaluated and their correlation with environmental factors, and in combination with the genetic information of the eucalyptus clones to be evaluated.

[0036] For example, a linear mixed model can be used, where single site with clone and clone and replicate interaction as random factors, expressed as follows:

[0037] Y ijk =μ+B i +C j +B Cij +ε ijk ;

[0038] Among them, Y ijk is the observed value of the kth individual plant of the jth clone in the i-th replication of the single-point experiment, μ is the overall mean value of the population, and B i is the i-th repetition effect, C j is the jth clone effect, B Cij is the interaction effect between the j-th clone and the i-th replicate, ε ijk For the remaining items.

[0039] The random factors for multiple sites are clones and the interaction between clones and sites, and the expression is as follows:

[0040] Y hij =μ+L h +B(L) i(h) +C j +I LChj +ε hij ;

[0041] Among them, Y hij is the plot average of the jth clone of the ith replication in the hth location of the single-site experiment, μ is the overall average of the population, and L h is the h-th location effect, B(L) i(h) is the i-th repetition effect in the h-th location, C j is the jth clone effect, I LChj is the interaction effect between the jth clone and the hth site, ε hij For the remaining items.

[0042] For example, other variation factors are used as fixed effects to obtain the variance of each trait, and the obtained trait components are used to calculate heritability. Heritability is an indicator used to measure the contribution of genetic factors to the variation of phenotypic traits. The expression is as follows:

[0043]

[0044] Among them, V g is the genotype variance of the clones, V ge is the interaction variance between clone and replication (or location), V e is the residual, L is the number of repetitions (or locations), N L is the number of clones in the replicate (or location), where the number of clones in each replicate (or location) is different, N L The value of needs to use the harmonic mean. Among them, R c The larger it is, the greater the contribution of genetic factors to the variation of phenotypic traits.

[0045] It is now known that the R c (such as R c =0.8 means that 80% of the tree height difference is determined by genetic factors. c is 0.7, and the R c is 0.8, and the R c is 0.6; in site Y, the R c is 0.6, and the R c is 0.7, and the R c is 0.5; in Z, the R c is 0.5, and the R c is 0.6, and the R c is 0.4. Therefore, we can combine R c To analyze the correlation between different eucalyptus clones and environmental factors.

[0046] Exemplarily, the pH value of the soil can also be regarded as an environmental factor, denoted as b. Based on the above embodiment, assuming that the correlation coefficient between b and tree height is 0.5, the correlation coefficients and weights of different environmental factors with given traits can be combined to determine a correlation score index between Eucalyptus clones and environmental factors.

[0047] For example, define Z eh is the comprehensive impact index of environmental factors for a given trait, and the weight is defined as W. First calculate Z eh The method can be to assign weight coefficients to heritability and each environmental factor, and to convert heritability R cThe correlation coefficients of the environmental factors were multiplied by the corresponding weight coefficients, and finally the Z values ​​of different eucalyptus clones were obtained. eh For example, suppose R c The weights of a and b are W R , W a , W b , use the following formula to calculate the comprehensive impact index of environmental factors for a given trait:

[0048] Z eh =(R c *W R )+(correlation coefficient of a*W a )+(correlation coefficient of b*W b ).

[0049] For example, the environmental factor impact index is defined as G e , according to the comprehensive impact index Z of environmental factors for a given trait eh , use the following formula to calculate the environmental factor impact index G e , and calculate:

[0050]

[0051] According to the calculated environmental factor impact index G e , the degree of comprehensive influence of temperature and soil pH value on the tree height of eucalyptus clone A at location X can be evaluated by different scoring levels. For example, the environmental factor influence index is a positive value: if the environmental factor influence index is close to 1, it indicates that the environmental factor has a great influence on the tree height and may have a significant impact on the tree height. If the environmental factor influence index is between 0-1, it indicates that the environmental factor has a small influence on the tree height, but still has a certain influence. If the environmental factor influence index is close to 0, it indicates that the environmental factor has a very small influence on the tree height and can be ignored. If the environmental factor influence index is a negative value: if the environmental factor influence index is close to -1, it indicates that the environmental factor has a great influence on the tree height and is a negative influence, which may cause the tree height to decrease; if the environmental factor influence index is between -1 and 0, it indicates that the environmental factor has a small influence on the tree height, but still has a certain negative influence; if the environmental factor influence index is close to -1, it indicates that the environmental factor has a very small influence on the tree height and can be ignored. Those skilled in the art can design the environmental factor evaluation index according to the specific situation, and this embodiment will not be further limited to this. The adaptability evaluation index of Eucalyptus clones in different geographical locations can be calculated based on the influencing indexes of environmental factors.

[0052] Specifically, the adaptability evaluation index can be calculated using weighted average. Define the adaptability evaluation index as A, define the clone growth performance value as P, define the weight as W, and use the following formula to calculate the adaptability evaluation index A:

[0053] A=∑(G e *W P *P) / ∑(G e *W p )

[0054] Among them, ∑ represents summation, and the weight of P is W p .

[0055] Assume that there are two adaptability influencing factors: tree height and breast diameter. To calculate the adaptability evaluation index of a certain eucalyptus clone D in X and Y. In X, the environmental factor influencing index of tree height is 0.8, and the environmental factor influencing index of breast diameter is 0.6; in Y, the environmental factor influencing index of tree height is 0.7, and the environmental factor influencing index of breast diameter is 0.5. Assume that the tree height of eucalyptus clone D in X is 100cm, and the breast diameter is 20cm, and the tree height of eucalyptus clone D in Y is 120cm, and the breast diameter is 25cm. Set the weight value of tree height to 0.6, and the weight value of breast diameter to 0.4. Based on the above data, the adaptability evaluation index of eucalyptus clone D in X and Y can be calculated as follows:

[0056] At X: A = (100*0.8*0.6+20*0.6*0.4) / (0.8*0.6+0.6*0.4) = (48+4.8) / (0.48+0.24) = 52.8 / 0.72 = 73.3.

[0057] At site Y: A = (120*0.7*0.6+25*0.7*0.4) / (0.7*0.6+0.5*0.4) = (50.4+7) / (0.42+0.2) = 57.4 / 0.62 = 92.6.

[0058] Therefore, the adaptability evaluation index of the eucalyptus clone in site X is 73.3, and that in site Y is 92.6. In actual calculation, the weight value can be determined according to specific circumstances, and this embodiment will not be described in detail.

[0059] 140. Based on the adaptability evaluation index of eucalyptus asexual lines, determine the excellent evaluation index of eucalyptus asexual lines.

[0060] For example, the adaptability evaluation indicators of eucalyptus clones can be ranked, and the excellent evaluation indicators of eucalyptus clones can be determined according to the ranking order, and the clones with the best performance can be selected.

[0061] In some embodiments, see Figure 3 , Figure 3 A second flow chart of the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in the embodiment of the present application. A linear mixed model can be pre-set in the terminal 101, and the linear mixed model can calculate the Pearson correlation coefficient between two variables and determine the degree of correlation between them. Among them, 120, based on the growth and trait data under the different geographical locations and environmental conditions, the step of determining the growth differences between the different eucalyptus clones to be evaluated and the degree of correlation with environmental factors includes:

[0062] 121. Determine environmental factors, and obtain environmental factor data and trait and growth data corresponding to the environmental factors;

[0063] 122. Calculate the single geographical location correlation coefficient of the environmental factor and the trait and growth data corresponding to the environmental factor;

[0064] 123. Based on the single geographical location correlation coefficient, determine the degree of correlation between the environmental factors and the traits and growth data corresponding to the environmental factors of the different eucalyptus clones to be evaluated in different geographical locations.

[0065] Wherein, when calculating the single geographical location correlation coefficient of the environmental factors and the traits and growth data corresponding to the environmental factors, for the data of each clone at each location, first calculate the average values ​​of the environmental factor data and the traits and growth data corresponding to the environmental factors, for example, first calculate the average values ​​of the tree height and temperature, then calculate the difference between each data and the corresponding average value, then calculate the sum of the products of each data difference, and calculate the sum of the squares of each data difference. Divide the sum of the products of each data difference by the square root of the sum of the squares of each data difference to obtain the Pearson correlation coefficient between the tree height and temperature of each eucalyptus clone at different locations. This calculation step is a prior art, and this embodiment will not be described in detail.

[0066] In some embodiments, see Figure 4 , Figure 4 A third flow chart of the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in the embodiment of the present application. In which, 130, according to the growth differences between the different eucalyptus clones to be evaluated and their correlation with environmental factors, and in combination with the genetic information of the eucalyptus clones to be evaluated, the step of calculating the adaptability evaluation index of the eucalyptus clones includes:

[0067] 131. Obtaining variances of several traits of the eucalyptus clones to be evaluated, and calculating heritability based on the variances of the traits;

[0068] 132. Determine the environmental factor influence index in combination with the heritability;

[0069] 133. Based on the influencing indicators of environmental factors, calculate the adaptability evaluation indicators of Eucalyptus clones in different geographical locations.

[0070] See also Figure 5 , Figure 5 A schematic diagram of a first structure of a device for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in an embodiment of the present application. The device for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones can be applied to a mobile terminal. The device 200 for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones may include: an acquisition module 201, a first determination module 202, a calculation module 203, and a second determination module 204.

[0071] The embodiment of the present application also provides a mobile terminal, including a memory and a processor, wherein the processor is used to execute the steps of evaluating the environmental adaptability of eucalyptus asexual lines and selecting excellent asexual lines provided in this embodiment by calling a computer program stored in the memory.

[0072] In the above embodiments, the description of each embodiment has its own emphasis. For the part not described in detail in a certain embodiment, please refer to the detailed description of the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones above, which will not be repeated here.

[0073] The device for evaluating the environmental adaptability of eucalyptus clones and the selection of excellent clones provided in the embodiment of the present application belongs to the same concept as the method for evaluating the environmental adaptability of eucalyptus clones and the selection of excellent clones in the above embodiment. Any method provided in the embodiment of the driver fatigue state detection method can be run on the device for evaluating the environmental adaptability of eucalyptus clones and the selection of excellent clones. The specific implementation process is detailed in the embodiment of the method for evaluating the environmental adaptability of eucalyptus clones and the selection of excellent clones, which will not be repeated here.

[0074] For the device for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones in the embodiment of the present application, each functional module can be integrated into a processing chip, or each module can exist physically separately, or two or more modules can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of software functional modules. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium, such as a read-only memory, a disk or an optical disk.

[0075] The above is a detailed introduction to a method, device and storage medium for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones provided in the embodiments of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones, characterized in that: include: Obtain growth and trait data of several eucalyptus clones to be evaluated in different geographical locations and environmental conditions; Determine the growth differences between the different eucalyptus clones to be evaluated and their correlation with environmental factors based on the growth and trait data under the different geographical locations and environmental conditions; Calculate the adaptability evaluation index of the eucalyptus clones according to the growth differences between the different eucalyptus clones to be evaluated and the degree of correlation with environmental factors, and in combination with the genetic information of the eucalyptus clones to be evaluated; Based on the eucalyptus clone adaptability evaluation index, determine the eucalyptus clone excellent evaluation index; The step of calculating the adaptability evaluation index of eucalyptus clones according to the growth differences between the different eucalyptus clones to be evaluated and the degree of correlation with environmental factors, and combining the genetic information of the eucalyptus clones to be evaluated, comprises: Trait variances were calculated using linear mixed models; Obtaining the variances of several traits of the eucalyptus clones to be evaluated, and calculating the heritability based on the variances of the traits; Among them, R c is heritability, V g is the genotype variance of the clones, V ge is the interaction variance of clones and replications, V e is the residual, L is the number of repetitions, N L is the number of clones in the replicate, where the number of clones in each replicate is different, N L The value of needs to use the harmonic mean; where R c The larger it is, the greater the contribution of genetic factors to the variation of phenotypic traits. In combination with the heritability, determining the environmental factor influence index; Z eh =(R c *W R )+(correlation coefficient of a*W a )+(correlation coefficient of b*W b ); In the formula, Z eh is the comprehensive impact index of environmental factors on a given trait, G e is the environmental factor influencing index, temperature is regarded as an environmental factor, recorded as a; soil pH is regarded as an environmental factor, recorded as b; R c The weights of a and b are W R , W a , W b ; Based on the environmental factors, the adaptability evaluation index of eucalyptus clones in different geographical locations was calculated. A=∑(G e *W P *P) / ∑(G e *W p ) In the formula, A represents the adaptability evaluation index, P is the growth performance value of the clone, and the weight of P is W P ; According to the adaptability evaluation index of the eucalyptus clones, determining the excellent evaluation index of the eucalyptus clones includes: sorting the adaptability evaluation index of the eucalyptus clones, and determining the excellent evaluation index of the eucalyptus clones according to the sorting order.

2. The method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones according to claim 1, characterized in that: The step of determining the growth differences between the different eucalyptus clones to be evaluated and their correlation with environmental factors based on the growth and trait data under the different geographical locations and environmental conditions comprises: Determine environmental factors, and obtain environmental factor data and trait and growth data corresponding to the environmental factors; Calculating the single geographical location correlation coefficient of the environmental factor and the trait and growth data corresponding to the environmental factor; Based on the single geographical location correlation coefficient, the correlation degree between the environmental factors and the traits and growth data corresponding to the environmental factors of the different eucalyptus clones to be evaluated in different geographical locations is determined.

3. The method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones according to claim 1, characterized in that: Before obtaining the growth and trait data of several eucalyptus clones to be evaluated in different geographical locations and environmental conditions, several eucalyptus clones were planted in different geographical locations and environmental conditions, and the planting design adopted a completely randomized block design.

4. A device for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones, characterized in that: include: An acquisition module is used to obtain growth and trait data of several eucalyptus clones to be evaluated under different geographical locations and environmental conditions; The first determination module is used to determine the growth differences between the different eucalyptus clones to be evaluated and their correlation with environmental factors based on the growth and trait data under the different geographical locations and environmental conditions; A calculation module, for calculating the adaptability evaluation index of the eucalyptus clones according to the growth differences between the different eucalyptus clones to be evaluated and the degree of correlation between the growth differences and the environmental factors, and in combination with the genetic information of the eucalyptus clones to be evaluated; The second determination module is used to determine the excellent evaluation index of eucalyptus asexual lines based on the adaptability evaluation index of eucalyptus asexual lines.

5. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is run on a computer, the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones as claimed in any one of claims 1 to 3 is implemented.

6. A terminal, characterized in that: The method comprises a processor and a memory, wherein a computer program is stored in the memory, and the processor implements the method for evaluating the environmental adaptability of eucalyptus clones and selecting excellent clones as claimed in any one of claims 1 to 3 by calling the computer program stored in the memory.

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