Model, method, equipment and medium for judging sex of takifugu hexagotis based on morphological analysis

Abstract

The invention discloses a model, a method, equipment and a medium for judging sex of takifugu hexagotis based on morphological analysis, and the method comprises the following steps: step 1, measuring morphological characteristics of takifugu hexagotis by using a morphological measurement method, and standardizing morphological segmentation characteristics of all individuals to obtain standardized morphological character data; 2, performing difference significance test on the male and female appearances by adopting standardized morphological character data, constructing statistics by adopting a wilk's lambda method, introducing and removing determined variables by taking an F distribution value as a standard, gradually introducing the variables until all the variables with statistical significance are introduced, and then establishing a Fisher discriminant function; according to the method, sex identification is carried out by utilizing a morphological method, so that the method is of great significance to culture of the takifugu hododendron, differences of fish morphologies are researched, and basic information is provided for evaluation of fish germplasm resources, variety identification, formulation of protective measures and the like by establishing an identification method.

Description

Technical Field

[0001] The invention relates to the technical field of fish sex determination, and in particular to a model, method, device and medium for determining the sex of a porcupine pufferfish based on morphological analysis. Background Art

[0002] my country is a vast country with a complex and diverse ecological environment. There are more than 3,000 species of fish living in China. However, there are currently very few studies related to gender. What is the relationship between the genders of most fish in evolution? How to classify them? What gender mechanisms and types exist? These are all basic work to be studied.

[0003] Systematic research in this area can not only enrich the content of fish breeding, but also have the following important guiding significance for the development and utilization of fish resources:

[0004] 1. In the process of artificial breeding of fish, accurate sex identification of parents is of great significance. Targeted training of parents, reasonable sex ratio during breeding, and the dosage of oxytocin during induction of labor all require accurate sex identification of parents. Sex identification can not only reduce the cost of raising broodstock, but also reduce the number and cost of broodstock fishing.

[0005] 2. During the breeding process, some fish mature early and reproduce quickly, which often leads to over-breeding, too high density, and too small individuals, thus affecting the increase in production. After sex identification, single-sex breeding can be carried out to control the population density and increase production.

[0006] 3. Increase the effective growth period. For some fish, male and female fish mature at different times. If they are put on the market at the same time, one of them will not grow up fully. If they are identified by sex and raised separately, the effective growth period of the group with a longer maturity period can be extended, thus achieving the goal of significantly increasing production.

[0007] 4. Improve the quality of commercial fish. The quality of commercial fish is mainly determined by meat quality and size. Monosex farming actually breeds fast-growing and large female or male fish, and monosex groups reduce reproductive energy consumption, which can improve the size, meat quality and value of commercial fish.

[0008] In recent years, because the meat of the six-spot pufferfish is delicious and its skin is rich in collagen, which has edible and medicinal value, it has been processed and sold as edible fish or handicrafts in some places. It can also be raised in aquariums or aquariums as an ornamental fish. It is very popular in the market, and its development and utilization has received more and more attention.

[0009] The population of six-spot pufferfish is unstable, with obvious seasonal catches, so the total catch is not high. Currently, all six-spot pufferfish are caught at sea, and the amount of resources has been sharply reduced due to overfishing by fishermen. Not only is the market in short supply, but it is also not conducive to the protection of fish resources. There is little research on the artificial reproduction of this fish, which has also restricted the development and utilization of pufferfish to a certain extent.

[0010] Sex identification is an important part of fish biology research and one of the key technologies for artificial reproduction and proliferation of fish. However, most fish do not have intuitively identifiable differences in appearance between males and females, so a method for sex identification of six-spot pufferfish using morphological methods is urgently needed. Summary of the invention

[0011] The main purpose of the present invention is to provide a method for determining the sex of six-spot pufferfish based on morphological analysis, which at least solves the problem that there is a lack of morphological methods for sex identification of six-spot pufferfish in the prior art.

[0012] According to one aspect of the present invention, a model for determining the sex of a six-spotted pufferfish based on morphological analysis is provided, comprising:

[0013] include,

[0014] Step 1, using morphometric method to measure the morphological characteristics of the six-spotted pufferfish, and standardizing the morphological segmentation characteristics of all individuals to obtain standardized morphological trait data;

[0015] Step 2: Use standardized morphological trait data to test the significance of male and female appearance, use Wilk's lambda method to construct statistics, use F distribution value as standard, introduce and eliminate variables, introduce variables step by step until all statistically significant variables are introduced, and then establish Fisher discriminant function, and obtain the following formula for discriminant function of male and female pufferfish:

[0016] female:

[0017] Func1=148.390*X 11 +80.298*X 7 +52.128*X 8 -38.444,

[0018] male:

[0019] Func2=191.702*X 11 +93.934*X 7 +29.170*X 8 -42.644,

[0020] Substitute the morphological index data of the fish into the above discriminant function formula, and the function with the larger calculation result is the category to which it belongs, where X 7 is tail peduncle height / body length, X 8 = body circumference 1 / body length, X 11 For long snout / long head.

[0021] In one possible design, the morphological features described in step 1 are shown in the following table:

[0022]

[0023]

[0024] In one possible design, the morphological trait data described in step 1 are shown in the following table:

[0025] Code Standardized traits Code Standardized traits <![CDATA[X 1 ]]> Total length / body length (TL / BL) <![CDATA[X 2 ]]> Body height / body length (BD / BL) <![CDATA[X 3 ]]> Body width / body length (BW / BL) <![CDATA[X 4 ]]> Dorsal-snout distance / body length (DSD / BL) <![CDATA[X 5 ]]> Dorsal fin base length / body length (FDL / BL) <![CDATA[X 6 ]]> Caudal peduncle length / body length (CPL / BL) <![CDATA[X 7 ]]> Caudal peduncle height / body length (CPD / BL) <![CDATA[X 8 ]]> Body circumference 1 / body length (BG1 / BL) <![CDATA[X 9 ]]> Body circumference 2 / body length (BG2 / BL) <![CDATA[X 10 ]]> Head height / head length (HD / HL) <![CDATA[X 11 ]]> Snout length / head length (SL / HL) <![CDATA[X 12 ]]> Eye diameter / head length (ED / HL) <![CDATA[X 13 ]]> Interocular distance / head length (IS / HL) <![CDATA[X 14 ]]> Eye-head length / Head length (EH / HL) <![CDATA[X 15 ]]> Nostril width / head length (NW / HL) <![CDATA[X 16 ]]> Mouth width / head length (MW / HL) <![CDATA[X 17 ]]> Caudal peduncle height / Caudal peduncle length (CPD / CPL) <![CDATA[X 18 ]]> <![CDATA[Body weight / Body length 3 (W / BL 3 )]]> <![CDATA[X 19 ]]> Head length / body length (HL / BL) .

[0026] In a possible design, the body length is measured with an accuracy of 0.1 cm, and the caudal peduncle height, body circumference1, snout length, and head length are measured with an accuracy of 0.01 mm.

[0027] In a possible design, step 2 further includes using SPSS 19.0 software to perform one-way analysis of variance, discriminant analysis, principal component analysis and cluster analysis on the obtained standardized morphological trait data.

[0028] In a possible design, step 2, using the Wilk's lambda method to construct statistics, using the F distribution value as the standard, to determine the introduction and elimination of variables, and gradually introducing variables until all statistically significant variables are introduced. Specifically, through stepwise discriminant analysis, all variables are introduced after multiple calculations, and irrelevant variables are gradually eliminated according to the contribution of each trait to the model, and three variables X that have significant contributions to distinguishing male and female individuals of six-spot porcupinefish are screened from the standardized morphological traits. 11 , X 7 , X 8 , respectively, snout length / head length, caudal peduncle height / body length, body circumference 1 / body length. When the discriminant function contained these three variables, the multivariate significance test result of the discriminant results between the two categories showed P < 0.05, indicating that the discriminant effect of the discriminant function established using these three variables was significant.

[0029] On the other hand, the present invention also provides a model obtained by the aforementioned method, including a sex discrimination function formula of the six-spotted pufferfish as follows:

[0030] female:

[0031] Func1=148.390*X 11 +80.298*X 7 +52.128*X 8 -38.444,

[0032] male:

[0033] Func2=191.702*X 11 +93.934*X 7 +29.170*X 8 -42.644,

[0034] Substitute the morphological index data of the fish into the above discriminant function formula, and the function with the larger calculation result is the category to which it belongs, where X 7 is tail peduncle height / body length, X 8 = body circumference 1 / body length, X 11 For long snout / long head.

[0035] On the other hand, the present invention further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the aforementioned method when executing the computer program.

[0036] On the other hand, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the aforementioned method when executed by a processor.

[0037] On the other hand, the present invention further provides a computer program product, comprising a computer program, which implements the steps of the aforementioned method when executed by a processor.

[0038] The present invention utilizes morphological methods to identify sex, which is of great significance to the breeding of six-spot pufferfish. The study of fish morphological differences and the establishment of identification methods provide basic data for the evaluation of fish germplasm resources, species identification, formulation of protection measures, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings described herein are used to provide further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0040] In the attached picture:

[0041] Figure 1 This is a schematic diagram of the body morphology measurement indicators of the dense spot pufferfish in an embodiment of the present invention;

[0042] Figure 2 This is a schematic diagram of the body morphology measurement indicators of the dense spot pufferfish in an embodiment of the present invention;

[0043] Figure 3 This is a schematic diagram of the body morphology measurement indicators of the dense spot pufferfish in an embodiment of the present invention;

[0044] Figure 4 It is a scatter diagram of the principal component 1, principal component 2, and principal component 3 of the six-class porcupinefish in the embodiment of the present invention;

[0045] Figure 5 The frequency distribution diagram of the discrimination scores of female individuals of Porcupine pufferfish in the embodiment of the present invention;

[0046] Figure 6 is the frequency distribution of the discrimination scores of male individuals of Porcupine pufferfish in the embodiment of the present invention;

[0047] Figure 7 The R-cluster analysis diagram of the standardized morphological traits of the six-spotted pufferfish in the embodiment of the present invention is DETAILED DESCRIPTION

[0048] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0049] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0050] Unless otherwise specifically stated, the relative arrangement of the parts and steps described in these embodiments, numerical expressions and numerical values ​​do not limit the scope of the present invention. At the same time, it should be understood that, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to the actual proportional relationship. The technology, methods and equipment known to ordinary technicians in the relevant field may not be discussed in detail, but in appropriate cases, the technology, methods and equipment should be regarded as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once a certain item is defined in an accompanying drawing, it does not need to be further discussed in subsequent drawings.

[0051] The samples of porcupine pufferfish used in this example were collected from the coastal waters, and 45 fish were randomly picked, of which 18 male fish and 27 female fish were tested. The sex of male and female fish was identified by dissecting and observing the gonadal development characteristics. If it was difficult to identify, paraffin sections were used to determine the sex, as shown in the following table.

[0052] Table 1-1 Number of samples, body length and weight range of Porcupine pufferfish (mean ± standard deviation)

[0053]

[0054]

[0055] See also Figure 1-7 As shown, according to an embodiment of the present invention, a method for determining the sex of a six-spotted pufferfish based on morphological analysis is provided. The method comprises:

[0056] The morphological characteristics of the six-spot pufferfish were measured using morphometric methods, and the morphological segmental characteristics of all individuals were standardized to obtain standardized morphological trait data.

[0057] In the first step, the present invention uses traditional morphometric methods to measure the morphological characteristics of the six-spot pufferfish, and uses a ruler to measure the total length (TL) and body length (BL) of the sample with an accuracy of 0.1 cm.

[0058] Use a vernier caliper to measure the sample's body height (BD), body width (BW), head length (HL), head height (HD), snout length (SL), eye diameter (ED), inter-eye distance (IS), dorsal snout distance (DSD), nostril groove distance (NW), head length behind the eye (EH), caudal peduncle length (CPL), caudal peduncle height (CPD), dorsal fin base length (FDL), mouth width (MW), body circumference (dorsal fin) (BG1), body circumference (pectoral fin) (BG2), accurate to 0.01mm. Use an electronic platform scale to weigh (W), accurate to 0.1g. Fullness is measured by W / BL 3 The specific meanings of each indicator are shown in the following table.

[0059] Table 1-2 Measurable trait measurement indicators

[0060]

[0061]

[0062] Step 2: Data processing:

[0063] Microsoft Excel 2010 software was used to perform statistical analysis on the morphological segmentation characteristics of all individuals in the sample. The 18 measurement characteristics of the sample were standardized to eliminate the influence of fish size on morphological parameters. The specific method was: the head morphological measurement indicators (snout length, eye diameter, eye distance, head length behind the eyes, head height, mouth width, and nostril groove distance) were divided by the head length, the tail peduncle height was divided by the tail peduncle length, and the other 11 morphological indicators were divided by the body length. A total of 19 sets of standardized morphological data were obtained, as shown in the following table.

[0064] Table 1-3 Standardized traits of Porcupine pufferfish

[0065]

[0066] Step 2: Use standardized morphological trait data to test the significance of male and female appearance, use Wilk's lambda method to construct statistics, use F distribution value as standard, introduce and eliminate variables, introduce variables step by step until all statistically significant variables are introduced, and then establish Fisher discriminant function, and obtain the following formula for discriminant function of male and female pufferfish:

[0067] female:

[0068] Func1=148.390*X11+80.298*X7+52.128*X8-38.444,

[0069] male:

[0070] Func2=191.702*X11+93.934*X7+29.170*X8-42.644,

[0071] Substitute the morphological index data of the fish body into the above discriminant function formula respectively, and the function with the larger calculation result is the category to which it belongs, where X7 is the tail peduncle height / body length, X8 is the body circumference 1 / body length, and X11 is the snout length / head length.

[0072] In the first step, SPSS19.0 software was used to conduct multivariate statistical analyses such as one-way analysis of variance, discriminant analysis, principal component analysis, and cluster analysis on the obtained standardized indicator data.

[0073] 1. Comparison of countable traits

[0074] SPSS19.0 software was used to calculate the means of the seven countable traits.

[0075] 2. ANOVA

[0076] One-way ANOVA was used to analyze the morphological indexes. Multiple comparisons were used to analyze the morphological differences between different groups. The variables with homogeneity of variance were analyzed by the Least Significant Difference (LSD) method, and the variables with no homogeneity of variance were analyzed by Tamhane's T2 method. Then the differences in morphological characteristics between them were classified.

[0077] 3. Principal component analysis

[0078] Principal component analysis was performed on each morphological index. First, a correlation test was performed, and then the principal components were extracted based on the variance cosquare matrix. The load value and contribution rate of each principal component were calculated, and the principal component distribution diagram was drawn according to the score of the principal component with the largest contribution, in order to intuitively examine the morphological differences between groups.

[0079] 4. Discriminant analysis (DFA)

[0080] Discriminant analysis was performed on each morphological index. The stepwise method was used to construct the Fisher linear discriminant equation and calculate the discrimination accuracy and comprehensive discrimination accuracy of each group.

[0081] The accuracy of each group discrimination = (number of correctly identified individuals / total number of groups) × 100%

[0082]

[0083] Where n represents the number of groups, Ri represents the number of individuals correctly identified in the i-th group, and Ti represents the total number of individuals in the i-th group.

[0084] And a T test was performed on the proportional traits screened out in the established discriminant model equation.

[0085] 5. Cluster analysis

[0086] Cluster analysis tools and Euclidean distance method were used to conduct multivariate analysis on all variables of male and female populations of P. ocellaris. SPSS19.0 software was used to conduct R-cluster analysis on 19 standardized morphological traits. The clustering method was inter-group linkage, and the squared Euclidean distance coefficient was used to construct a cluster relationship tree.

[0087] The second step is to compare the morphology of male and female six-spot pufferfish:

[0088] Since the size of six-spot pufferfish varies greatly among individuals, standardized traits were used to test the significance of the appearance of males and females. The results of variance analysis and t-test are shown in Table 2-1. The variances of standardized traits were homogeneous (P>0.05). Among the 19 morphological characteristics, the differences in BG2 / BL, SL / HL, and CPD / CPL reached a significant level (P<0.05).

[0089] Table 2-1 Significance test of differences in standardized traits between male and female porcupine pufferfish

[0090]

[0091]

[0092] Note: * indicates significant difference (P < 0.05)

[0093] The third step is principal component analysis:

[0094] In order to simplify the appearance characteristics of the six-spot pufferfish and clarify the morphological index system of the six-spot pufferfish, principal component analysis was performed on 19 traits, and the contribution rates of the first four principal components and the loads of each index on these four principal components were screened out. Their cumulative contribution rate reached 80.402%. The four principal components and their included traits and loads are shown in Table 2-2. The contribution rates of principal components 1, 2, 3 and 4 were 36.855, 22.595, 13.773 and 7.180 respectively, and the contribution rate of principal component 1 was significantly higher than that of other components. The contribution rate of principal component I reached 36.855%, and the main loads were body height / body length, body width / body length, body circumference 1 / body length, body circumference 2 / body length, and head height / head length, which reflected the overall framework outline index of the six-spot pufferfish. The contribution rate of principal component II was 22.595%, and the main loads were eye distance / head length, nostril groove distance / head length, and mouth width / head length, which reflected the head characteristics of the six-spot pufferfish. The contribution rate of principal component III was 13.773%, and the main loads were caudal peduncle length / body length, caudal peduncle height / caudal peduncle length, which reflected the tail characteristics of the six-spot pufferfish. The contribution rate of principal component IV was 7.180%, and the main load was head length behind the eyes / head length.

[0095] According to the main morphological indicators of the six-spot pufferfish analyzed above, scatter plots were made for the principal component scores of the six-spot pufferfish for both sexes. The results are as follows: Figure 4 As shown, it can be seen that the distribution of male and female fish overlaps and crosses significantly, and there are no obvious independent areas. Principal component analysis cannot effectively distinguish between male and female fish.

[0096] Table 2-2 Contribution rate of the four main components and the load of each indicator

[0097]

[0098]

[0099] Note: a represents traits with a loading greater than 0.6.

[0100] Step 4: Sex discrimination analysis of six-spot porcupinefish:

[0101] The Wilk's lambda method was used to construct statistics, with the F distribution value as the standard. If it was greater than 3.84, the variable was introduced, and if it was less than 2.71, the variable was eliminated. Variables were introduced step by step until all statistically significant variables were introduced, and then the Fisher discriminant function was established.

[0102] (1) Variable introduction and elimination process

[0103] Through stepwise discriminant analysis, all variables were introduced after three operations, and three variables X that contributed significantly to the distinction between male and female individuals of P. septempunctata were selected from 19 proportional traits. 11 , X 7 , X 8 , respectively snout length / head length, tail peduncle height / body length, body circumference 1 / body length (see Table 2-3). When the discriminant function contains these three variables, the multivariate significance test results of the discrimination results between the two categories show P < 0.05, indicating that the discriminant function established using these three variables has a significant discriminant effect. Calculate the discriminant score values ​​of male and female individuals, and obtain the frequency distribution diagrams of male and female individuals. Figure 5 , Figure 6 It can be seen that this model can be used to distinguish the sex of six-spot pufferfish.

[0104] Table 2-3 Variable introduction process

[0105]

[0106] According to the contribution of each trait to the model, irrelevant variables were gradually eliminated, and finally three variables were selected, namely X 11 , X 7 , X 8 , the established sex discrimination formula for six-spot porcupine pufferfish is:

[0107] Female (♀):

[0108] Func1=148.390*X 11 +80.298*X 7 +52.128*X 8 -38.444

[0109] Male (♂):

[0110] Func2=191.702*X11 +93.934*X 7 +29.170*X 8 -42.644

[0111] (3) Calculate the accuracy of discrimination

[0112] Substitute the morphological index data of the experimental fish into the discriminant function, and the function with the larger calculation result is the category it belongs to. The discrimination results show (see Table 2-4) that the discrimination accuracy of the female group of six-spot porcupinefish is 77.8%, the discrimination accuracy of the male group is 66.7%, and the comprehensive discrimination accuracy is 73.3%.

[0113] Table 2-4 The results of establishing the function

[0114]

[0115] like Figure 7 As shown in the figure, the results of R-cluster analysis show that the relative traits after standardization can be divided into three categories. The first category is dorsal fin base length / body length, caudal peduncle height / body length, body weight / body length3, body height / body length, caudal peduncle length / body length, eye diameter / head length, which reflects the framework outline index. The second category is dorsal snout distance / body length, head height / head length, eye distance / head length, snout length / head length, head length / body length, body width / body length, nostril groove distance / head length, mouth width / head length, head length behind the eyes / head length, body circumference 1 / body length, caudal peduncle height / caudal peduncle length, which reflects the head and tail characteristics. The third category is total length / body length, body circumference 2 / body length, which reflects the fatness or thinness of the body.

[0116] In order to simplify the measurement indicators of the morphological study of P. pulmonarius, 19 standardized traits of 45 P. pulmonarius were analyzed in this study. The results of one-way ANOVA showed that the male and female morphology of P. pulmonarius was mainly manifested in body circumference 2 / body length, snout length / head length, and caudal peduncle height / caudal peduncle length. The principal component analysis obtained 4 principal components with eigenvalues ​​greater than 1, with a cumulative contribution rate of 80.402%. These 4 principal components represent the overall frame outline, head characteristics, tail characteristics, and head length behind the eye / head length of P. pulmonarius. The measurement and analysis of these indicators can basically reflect the appearance characteristics of P. pulmonarius. In fish, there are certain differences in morphological characteristics or growth rate between male and female individuals of many species. In addition, the analysis of the coefficient of variation of male and female quantitative traits found that the variation between female individuals was greater than that between males, indicating that males are more uniform in body shape than females and have a relatively smaller range of variation. The scatter plot of principal component analysis shows that both male and female fish are diffusely distributed, but male fish are more concentrated than female fish, while female fish are more dispersed. There are more female fish in the marginal area than male fish, which also verifies the conclusion that the variation between female fish individuals is greater than that between male fish. In general, male and female fish overlap and cross, and there is no obvious distribution area for male and female fish. In the discriminant analysis, the discrimination accuracy of female groups was 77.8%, and the discrimination accuracy of male groups was 66.7%, but the overall discrimination accuracy was 73.3%. There is still room for improvement, such as further expanding the sample capacity and optimizing the discriminant formula. It is believed that the discrimination accuracy can be further improved. Neither discriminant analysis nor principal component analysis can well distinguish the sex of six-spot pufferfish. The possible reasons are analyzed. First, the difference between individual experimental fish is too large. The standard deviation of male and female body weights reached 2161.0 and 794.2, respectively. When the weight difference between individuals is large, it is difficult to standardize, which is not conducive to difference comparison and sex discrimination; second, the number of samples is too small, which to a certain extent also leads to inaccurate sex discrimination results. Fourth, the sampling period is different. Some are in the non-breeding period and the gonads have not yet developed. In the breeding period, the gonads of male and female fish have different structures and their body shapes will change, which to a certain extent also leads to inaccurate sex discrimination results. The results obtained by cluster analysis and principal component analysis are basically consistent. The first type of standardized traits in cluster analysis correspond to the components of the first type of principal component obtained by principal component analysis, reflecting the indicators of the fatness and thinness of the head, tail and body of the six-spot porcupine pufferfish. It shows that the individual differences of the six-spot porcupine pufferfish are mainly concentrated in the head shape and fish body shape. The second type of standardized traits in cluster analysis correspond to the components of principal component II. According to the score, the body circumference 2 has a greater effect on this separation. The reason may be caused by the error in measuring it in actual operation, which causes the difference in body circumference 2 in the male and female analysis.

[0117] This study has determined that there are obvious differences in the morphology of male and female six-spot pufferfish, and the differences in multiple standardized traits have reached extremely significant levels. More in-depth research is needed to accurately distinguish between male and female fish based on their appearance.

[0118] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" may include both "above" and "below". The device may also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.

[0119] In addition, it should be noted that the use of terms such as "first" and "second" to limit components is only for the convenience of distinguishing the corresponding components. If not otherwise stated, the above terms have no special meaning and therefore cannot be understood as limiting the scope of protection of the present invention.

[0120] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for determining the sex of a pufferfish based on morphological analysis, characterized in that: include, Step 1, using morphometric method to measure the morphological characteristics of the six-spotted pufferfish, and standardizing the morphological segmentation characteristics of all individuals to obtain standardized morphological trait data; Step 2, using standardized morphological trait data to test the significance of male and female appearance, using the Wilk's lambda method to construct statistics, using the F distribution value as the standard, to determine the introduction and elimination of variables, gradually introducing variables until all statistically significant variables are introduced, and then establishing the Fisher discriminant function, the formula for the discriminant function of six-spot porcupinefish sex is as follows: female: Func1=148.390*X 11 +80.298*X7+52.128*X8-38.444, male: Func2=191.702*X 11 +93.934*X7+29.170*X8-42.644, Substitute the morphological index data of the fish into the above discriminant function formula, and the function with the larger calculation result is the category to which it belongs, where X7 is the tail peduncle height / body length, X8 is the body circumference 1 / body length, and X 11 For long snout / long head.

2. The model for determining the sex of Pufffish based on morphological analysis according to claim 1, characterized in that: The morphological characteristics described in step 1 are shown in the following table: 。 3. The model for determining the sex of Porcupine pufferfish based on morphological analysis according to claim 2, characterized in that: The morphological trait data described in step 1 are shown in the following table: 。 4. The model for determining the sex of Porcupine pufferfish based on morphological analysis according to claims 1-3, characterized in that: The body length can be measured with an accuracy of 0.1 cm, and the caudal peduncle height, body circumference1, snout length, and head length can be measured with an accuracy of 0.01 mm.

5. The model for determining the sex of Porcupine pufferfish based on morphological analysis according to claim 4, characterized in that: Step 2 also includes using SPSS 19.0 software to perform one-way analysis of variance, discriminant analysis, principal component analysis and cluster analysis on the obtained standardized morphological trait data.

6. The model for determining the sex of Pufffish based on morphological analysis according to any one of claims 1 to 3 or 5, characterized in that: Step 2: Wilk's lambda method was used to construct statistics. The F distribution value was used as the standard to determine the introduction and elimination of variables. Variables were gradually introduced until all statistically significant variables were introduced. Specifically, all variables were introduced through stepwise discriminant analysis after multiple calculations. Unrelated variables were gradually eliminated according to the contribution of each trait to the model, and three variables X that significantly contributed to distinguishing male and female individuals of P. septempunctata were selected from the standardized morphological traits. 11 , X7, X8, are snout length / head length, caudal peduncle height / body length, body circumference 1 / body length, respectively. When the discriminant function contains these three variables, the multivariate significance test results of the discriminant results between the two categories show P < 0.05, indicating that the discriminant effect of the discriminant function established using these three variables is significant.

7. A model obtained by the method according to claims 1-6, characterized in that: The sex discrimination function formula of the six-spot porcupine pufferfish is as follows: female: Func1=148.390*X 11 +80.298*X7+52.128*X8-38.444, male: Func2=191.702*X 11 +93.934*X7+29.170*X8-42.644, Substitute the morphological index data of the fish into the above discriminant function formula, and the function with the larger calculation result is the category to which it belongs, where X7 is the tail peduncle height / body length, X8 is the body circumference 1 / body length, and X 11 For long snout / long head.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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