Chicken semen quality judgment device and application
By using the iSperm instrument to detect the index of the rooster semen sample and establish a discriminant function, the problem of inaccurate judgment of the rooster semen quality is solved, fast and accurate quality judgment is achieved, and breeding efficiency and economic benefits are improved.
Patent Information
- Application Number
- CN202411730897.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-03-14
AI Technical Summary
The prior art is difficult to accurately and quickly judge the quality of rooster semen, which affects the fertilization rate and breeding efficiency of breeding eggs.
The iSperm instrument was used to detect the semen quality index of the rooster semen sample, and the semen quality judgment model was used to establish a discriminant function to judge the semen quality of the rooster by using the two indicators of forward movement and linear velocity.
It realizes accurate and rapid judgment of the quality of rooster semen, improves breeding efficiency, reduces the cost of breeding roosters, and reduces economic losses.
Smart Images
Figure CN119626340A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the breeding of roosters with high semen quality, and in particular to a chicken semen quality judgment device and application. Background Art
[0002] my country is the world's largest producer and consumer of chicken. Chicken is a common guest on people's tables. Eggs are more nutritious and their production and consumption are constantly increasing. Breeding of breeder chickens is one of the core tasks of farms to produce large-scale commercial chickens. The quality of the breeder flock directly determines the quality of commercial broilers and laying hens. Therefore, cultivating high-quality breeder flocks is an important foundation for production and breeding. At present, artificial insemination technology is widely used in the breeding process of breeder chickens. The semen quality of breeder roosters directly affects the fertilization rate of breeding eggs. Therefore, the selection and breeding of roosters before mating is crucial to ensure the fertilization rate of breeding eggs.
[0003] At present, the selection of breeder roosters in actual production is mainly based on the degree of sexual reflex of the roosters to semen collection training, the amount of semen collected, and the subjective judgment of sperm motility and density under a microscope. This judgment is closely related to the experience of artificial insemination personnel and is often not very accurate. Therefore, the problem of accurately and quickly judging the quality of rooster semen in breeder breeding and daily production remains to be solved. The iSperm instrument is a lightweight computer-assisted sperm analysis system that uses a microscopic camera and software to analyze the data obtained through a microscope. It can quickly and objectively provide data such as sperm density and sperm motility indicators in semen. It is only the size of a commonly used iPad and is a portable sperm analysis system. It can complete the objective evaluation of semen quality at the breeding site of breeder chickens. However, the iSperm system provides more semen indicators, including sperm density, motility, forward movement, forwardness and sperm movement speed. Although these indicators provide a more comprehensive evaluation index for the study of semen quality, there is currently no standard method for rapid evaluation of chicken semen quality. Summary of the invention
[0004] Based on the above background, the present invention provides a method for judging the quality of chicken semen, which can accurately and quickly judge the quality of rooster semen. The semen samples of roosters are collected, and the semen quality indicators of the semen samples are detected by iSperm instrument, and the semen quality indicators are substituted into the semen quality judgment model to judge the semen quality of roosters. Rapid screening of breeding roosters can reduce the cost of breeding roosters, reduce economic losses, and improve breeding efficiency.
[0005] The technical solution adopted by the present invention is as follows: a chicken semen quality judgment device, comprising a discrimination module and a display module, wherein the discrimination module stores a discrimination function: y=0.126x1-0.069x2-7.425;
[0006] The chicken semen quality identification module is used to identify the semen quality of the chicken according to the forward speed and linear speed data of the chicken semen, wherein y represents the semen quality of the rooster, x1 is the percentage of forward-moving sperm in the rooster semen, and x2 is the linear speed of sperm in the rooster semen. When the y output is less than or equal to 0, it indicates that the rooster semen quality is high, and when the y output is greater than 0, it indicates that the rooster semen quality is low.
[0007] The discriminant function is obtained by the following steps:
[0008] S1. Collect semen from several roosters to artificially inseminate multiple hens, collect breeding eggs for incubation, obtain the fertilization rate of each rooster's semen on the 7th day of incubation, and group the semen quality according to the breeding egg fertilization rate. Among them, breeding eggs with a fertilization rate greater than or equal to 90% are divided into a high-quality group, and breeding eggs with a fertilization rate less than 90% are divided into a low-quality group;
[0009] S2. Collect the quality index data of rooster semen samples using iSperm instrument: sperm density, sperm motility, forward motion, curve speed, linear speed, average path speed, head swing amplitude, linearity, beat frequency, forward motion and swing;
[0010] S3. The sample data were divided into high-quality group and low-quality group according to the collected sample roosters, and then SPSS25 was used to analyze the data. First, an independent sample T test was performed to screen out the indicators with significant differences in the quality index data of the rooster semen samples in the high-quality group and the low-quality group, that is, P<0.05. Then, stepwise linear regression was used to screen the indicators with significant differences. After screening, the two indicators of forward movement x1 and linear speed x2 were determined;
[0011] S4. Establish the discriminant function: the sample size of each group is n i , the total sample size is n, first calculate the mean of each group, i is a different group, i = 1 is a high-quality group, i = 2 is a low-quality group:
[0012]
[0013] Where i is a different group, and the mean of the overall sample is calculated based on the mean of each group:
[0014]
[0015] After obtaining the mean of the overall sample, calculate the covariance matrix S of each group i and the joint within-group covariance matrix S p , the within-group SSCP matrix W and the between-group SSCP matrix B, where For the jth sample of the i-th group:
[0016]
[0017] The "T" symbol is to take the transposed matrix, and calculate the characteristic root λ of the discriminant function based on the obtained W and B. The number of roots t is min(p,g-1), that is, the number of discriminant functions, and p is the number of indicators with a strong correlation with the standard green shell egg, p=2, g=2:
[0018] (W -1 B―λI)E=0 (7)
[0019] Where I and E are both unit matrices. After obtaining λ, the coefficients a of each index in the discriminant function are calculated based on formula (8): t :
[0020]
[0021] Get a t Then calculate the constant term c of the discriminant function t :
[0022]
[0023] Finally, the discriminant function Y is obtained:
[0024] Y=x1*a t1 +x2*a t2 +…+x p *a tp + c t (10)
[0025] (5) Review and verify the data with the obtained discriminant function: substitute the forward motion index x1 and the linear speed x2 of the grouped rooster semen into the discriminant function in (4) to obtain y. When y is greater than 0, it is judged as a standard green shell egg. When y is less than 0, it is judged as a light green shell egg. Count the number of groups predicted by the discriminant function: n1', n2', and then calculate the judgment accuracy: η1 = n1' / n1, η2 = n2' / n2.
[0026] The chicken semen quality judging device is used to judge the semen quality according to the forward motion x1 and the linear speed x2 of the rooster semen, and the roosters classified as having high-quality semen are selected for breeding.
[0027] Beneficial effect: The present invention provides a device for judging the quality of chicken semen, which can accurately and quickly judge the quality of rooster semen. The semen quality index of the semen sample is detected by the iSperm instrument, and the semen quality index is substituted into the semen quality judgment model to judge the semen quality of the rooster. Therefore, breeding roosters can be quickly screened, the breeding cost of breeding roosters can be reduced, the economic loss can be reduced, and the breeding efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] Figure 1is a flow chart of the method of the present invention;
[0029] Figure 2 The fertilization rate of Jingmen black-feathered green-shell laying hens in the embodiment of the present invention;
[0030] Figure 3 It is the ROC curve test result of the index after screening in the embodiment of the present invention; wherein progressive motility represents progressive motility, straight-line velocity represents straight-line velocity; reference line represents reference line, and an AUC value close to 1 means that the predictive ability of the index is very strong and can well distinguish individuals with different results. An AUC value of 0.500 usually means that the index has no predictive ability in distinguishing different groups, which is equivalent to random guessing. DETAILED DESCRIPTION
[0031] The following is an explanation of examples of the present invention in conjunction with the accompanying drawings:
[0032] Example 1
[0033] 160 32-week-old Jingmen black-feathered chickens were selected and raised in the breeding farm of Hubei Shendi Agricultural Science and Technology Trading Co., Ltd. All roosters were raised in single cages under the same lighting conditions, with 16 hours of light and 8 hours of darkness, and controlled by automatic timer switches. Clean and sufficient water and food were provided, and drinking water was freely available throughout the day through a drinking water pipeline. The water quality met the requirements of NY5027-2008 for drinking water quality for pollution-free food livestock and poultry. Free feeding was available throughout the day, and the feed composition and nutritional level met the requirements of the "Chinese Chicken Feeding Standard" (NY / T2004) (Ministry of Agriculture of the People's Republic of China, 2004). All roosters were trained to collect semen every 2 days to form stable sexual reflexes.
[0034] Artificial insemination: each rooster is mated with more than 5 hens with good egg-laying performance. The first artificial insemination is carried out for two consecutive days, with 30μL of semen injected into each hen. Breeding eggs are collected starting from the third day, and semen is injected every 3 days thereafter. Breeding eggs that are more than 10 days old are collected for incubation.
[0035] On the 7th day of incubation, the number of fertilized eggs was counted and the fertilization rate of each rooster's semen was calculated. Figure 2 As shown, after removing the breeding roosters with a breeding egg fertilization rate of 1.85%, the various index data of the semen samples of roosters with a breeding egg fertilization rate greater than or equal to 90% among the remaining 159 rooster semen samples were set as the high-quality group, and the various index data of the semen samples of roosters with a breeding egg fertilization rate less than 90% were set as the low-quality group.
[0036] After collecting semen from the roosters in the high-quality group and the low-quality group, 2 μL of original semen was mixed with 198 μL of diluent, the samples were mixed evenly, and 11 semen quality indicators were tested using the iSperm instrument, as shown in Table 1.
[0037] Table 1 Semen quality indicators tested
[0038]
[0039]
[0040] Independent sample T test was performed on the data of each index detected in the high semen quality group and the low semen quality group. The statistical results of each group and the results of the independent sample T test are shown in Table 2. The indexes with significant changes between the high and low semen quality groups were selected (P<0.05). The test results showed that there were significant differences in sperm density, sperm motility, forward motion, curve speed, linear speed, average path speed, head swing amplitude, linearity, forward direction and swinging semen quality indexes between the high and low semen quality groups. Forward motion is the forward movement of sperm and reaches a certain speed. Sperm has the forms of swinging in place, circling, forward motion, etc. Forward refers to the direction of movement of the sperm with the head facing forward.
[0041] Table 2 Significant differences in semen quality among chickens
[0042]
[0043] Then, the indicators with significant differences between the high and low semen quality groups were subjected to stepwise regression analysis with semen quality (high semen quality group and low semen quality group). The results are shown in Tables 3 and 4. The model significance P was greater than 5%, so they were deleted. Finally, the two indicators of forward movement and linear speed were screened out. The two indicators were tested together with the ROC curve. The results are shown in Figure 3 As shown in the figure, the areas under the curve (AUC) of the two indicators were 0.882 and 0.757, respectively, with moderate predictive accuracy.
[0044] Table 3 Screening results of significant differences between high and low semen quality groups
[0045]
[0046]
[0047] Table 4 Results of screening indicators for significant differences between high and low semen quality groups
[0048]
[0049] The discriminant was established using the two indicators of forward motion and linear speed left by the screening. After eliminating the breeding roosters with a breeding egg fertilization rate of 1.85%, the semen sample data of the remaining 159 roosters with a breeding egg fertilization rate greater than or equal to 90% were set as the high semen quality group: 136 chickens, and the semen sample data of the roosters with a breeding egg fertilization rate less than 90% were set as the low semen quality group: 23 chickens. Fisher discriminant function was established, the sample size of each group was ni, and the total sample size was n.
[0050] First, according to The mean of each group was calculated, where i was a different group, i was 1 for the high semen quality group, i was 2 for the low semen quality group, and j was the symbol of the indicator. The grouped data were shown in Table 2.
[0051]
[0052] Then calculate the overall mean based on the mean of each group:
[0053]
[0054] After obtaining the overall mean, calculate the covariance matrix S of each group i and the joint within-group covariance matrix S p , the within-group SSCP matrix W and the between-group SSCP matrix B, where For the jth sample of the i-th group:
[0055]
[0056]
[0057] The "T" symbol is to take the transposed matrix, and calculate the characteristic root λ of the discriminant function after obtaining W and B. The number of roots t is min(p, g-1), that is, the number of discriminant functions, p is the number of indicators with strong correlation with semen quality, p=2, g=2. Then according to (W -1 B―λI)E=0 calculate the characteristic root, I and E are both unit matrices; finally, after obtaining λ, calculate the coefficient a of each index in the discriminant function t :According to (W -1 B-λ t I)a t = 0 and =1 and The discriminant function obtained is: Y = 0.126x1-0.069x2-7.425; where Y represents the semen quality of the rooster, x1 is the percentage of sperm moving forward in the rooster semen, and x2 is the linear velocity of sperm in the rooster semen. When the Y output is less than or equal to 0, the rooster semen quality is judged to be high, and when the Y output is greater than 0, the rooster semen quality is judged to be low.
[0058] Table 5 Statistical results of the discriminant function prediction group
[0059]
[0060] All data were verified. The statistical results of the retrospective verification and leave-one-out verification groups are shown in Table 5. That is, the forward movement and linear speed data of the chickens were substituted into the Fisher discriminant function. If Y is less than 0, the semen quality is judged to be high. If Y is greater than 0, the semen quality is judged to be low. The number of high semen quality groups and low semen quality groups predicted by the statistical discriminant function is: n1'=127, n2'=17, and the judgment accuracy is calculated: η1=n1' / n1=93.4%, η2=n2' / n2=73.9%.
[0061] The results showed that the discriminant function had an accuracy rate of 93.4% for the high semen quality group in the training set data, and 73.9% for the low semen quality group, with an overall accuracy rate of 90.6%. The accuracy rate of the leave-one-out validation also reached 89.9%, indicating that the discriminant function had good extrapolation performance.
Claims
1. A chicken semen quality judgment device, characterized in that: It includes a discrimination module and a display module, wherein the discrimination module stores a discrimination function: y=0.126x1-0.069x2-7.425; The chicken semen quality identification module is used to identify the semen quality of the chicken according to the forward speed and linear speed data of the chicken semen, wherein y represents the semen quality of the rooster, x1 is the percentage of forward-moving sperm in the rooster semen, and x2 is the linear speed of sperm in the rooster semen. When the y output is less than or equal to 0, it indicates that the rooster semen quality is high, and when the y output is greater than 0, it indicates that the rooster semen quality is low.
2. The device according to claim 1, characterized in that The discriminant function is obtained by the following steps: S1. Collect semen from several roosters to artificially inseminate hens, collect breeding eggs for incubation, obtain the fertilization rate of each rooster's semen on the 7th day of incubation, and group the semen quality according to the breeding egg fertilization rate. Among them, breeding eggs with a fertilization rate greater than or equal to 90% are divided into a high-quality group, and breeding eggs with a fertilization rate less than 90% are divided into a low-quality group; S2. Collect the quality index data of rooster semen samples using iSperm instrument: sperm density, sperm motility, forward motion, curve speed, linear speed, average path speed, head swing amplitude, linearity, beat frequency, forward motion and swing; S3. The sample data were divided into high-quality group and low-quality group according to the collected sample roosters, and then SPSS25 was used to analyze the data. First, an independent sample T test was performed to screen out the indicators with significant differences in the quality index data of the rooster semen samples in the high-quality group and the low-quality group, that is, P<0.
05. Then, stepwise linear regression was used to screen the indicators with significant differences. After screening, the two indicators of forward movement x1 and linear speed x2 were determined; S4. Establish the discriminant function: the sample size of each group is n i , the total sample size is n, first calculate the mean of each group, i is a different group, i = 1 is a high-quality group, i = 2 is a low-quality group: Where i is a different group, and the mean of the overall sample is calculated based on the mean of each group: After obtaining the mean of the overall sample, calculate the covariance matrix S of each group i and the joint within-group covariance matrix S p , the within-group SSCP matrix W and the between-group SSCP matrix B, where For the jth sample of the i-th group: The "T" symbol is to take the transposed matrix, and calculate the characteristic root λ of the discriminant function based on the obtained W and B. The number of roots t is min(p,g-1), that is, the number of discriminant functions, and p is the number of indicators with a strong correlation with the standard green shell egg, p=2, g=2: (W -1 B―λ I) E=0 (7) Where I and E are both unit matrices. After obtaining λ, the coefficients a of each index in the discriminant function are calculated based on formula (8): t : (W -1 B―λ t I)a t = 0 and Get a t Then calculate the constant term c of the discriminant function t : Finally, the discriminant function Y is obtained: Y=x1*a t1 +x2*a t2 +…+x p *to tp + c t (10) (5) Review and verify the data with the obtained discriminant function: substitute the forward motion index x1 and the linear speed x2 of the grouped rooster semen into the discriminant function in (4) to obtain y. When y is greater than 0, it is judged as a standard green shell egg. When y is less than 0, it is judged as a light green shell egg. Count the number of groups predicted by the discriminant function: n1', n2', and then calculate the judgment accuracy: η1 = n1' / n1, η2 = n2' / n2.
3. The application of the chicken semen quality judgment device according to claim 1 in chicken breeding, characterized in that: The chicken semen quality judging device is used to judge the semen quality according to the forward motion x1 and the linear speed x2 of the rooster semen, and the roosters classified as having high-quality semen are selected for breeding.