JP2001037368A - Method for detecting abnormality of fish - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a method for easily and exactly detecting the abnormality of the whole group of fishes based on a small number of typical examples by comparing the inspection standard region with the inspection result about a specific number of individuals selected at discretion from a target group of fishes. SOLUTION: This method for detecting the abnormality of fishes comprises comparing the inspection standard region with the inspection result about one or more individuals selected at discretion from a target group of fishes; wherein one or more inspection items are selected, a specific factor is multiplied for each inspection item, the resultant inspection values are summed up and converted to a score, and if it exceeds a given reference, the result can be judged as abnormal; wherein the judgment items may include hepatopathy, nephropathy, excretion disorders, muscular disorders, jaundice, growth disorders, feeding disorders and infectious diseases, and the infectious diseases, in turn, may include streptococcal infection, pseudotuberculosis, Edwardsiellosis, vibriosis, aeromonas disease, furunculosis, edwardsiellosis of eel (Paracolobactrum-related disease), Heterobothrium-related disease and mouth rot.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a method for diagnosing the health of fish. More specifically, the present invention relates to a method for detecting abnormalities in fish from test values such as measurement of body weight and body length and clinicopathological examination.

[0002]

2. Description of the Related Art Fish as a food resource is not only declining worldwide, but its catch greatly fluctuates. Therefore, in recent fisheries, cultivation fisheries are becoming popular. In order to improve aquaculture technology and secure stable productivity, it is necessary to detect deterioration in the health of fish as soon as possible. As an example of the current cultivation fishery, marine fish include yellowtail, yellowtail, red pufferfish, red sea bream, amberjack, gibberellfish, flounder, Japanese horse mackerel, Japanese mackerel,
Mahata, salmon, etc., and as freshwater fish, carp,
Farming of rainbow trout, sweetfish, eel, tilapia, etc. is performed,
Its production tends to increase year by year. Along with this, the deterioration of the fishing ground environment and an increase in the disease of cultured fish have been regarded as problems. Causes of fish diseases include bacteria, fungi, viruses, rickettsia, mycoplasma, parasites, etc., hepatic damage to feed (feed), self-contamination of fishing grounds by residual food and excrement, and stressful diseases due to overcrowding. and so on. Each of these causes an increase in mortality rate and growth suppression, causing serious industrial damage. Examples of bacterial fish diseases include streptococcal disease (Lactococcus garvieae, former name; Enterococcus seriolicida, Enterococcus seriolicida), and nodose disease (Pasteurella piscicid, Pasteurella piscicid).
a), edwajellosis (Edwojera talda, Edwards
iella tarda), Vibrio disease (Vibrio sp., Vib)
rio sp.), eromonas disease (Aeromonas hydrophilia), sesame disease (Eromonas salmonicida, Aeromonas salmonicida), paracolo disease (Edwojera talda, Edwardsiella tarda) and the like. Iridovirosis, a viral fish disease,
There are stomatosis, viral ascites and the like. In addition, the parasitic diseases include anisakiasis, kudua parasitosis, heterobotulism and the like.

[0003] Recently, as it becomes difficult to secure raw foods such as sardines, EP feeds and the like which may contain a large amount of lipid peroxide have been frequently used. It has been reported that lipid peroxide contained in this feed may cause liver disease in fish.

[0004]

[Problems to be Solved by the Invention] Regarding blood biochemical tests of fish, see Ikeda et al. (Fish Blood Picture Book, 273-326, 1981,
Midori Shobo, Tokyo), Tsunoda et al. (Fish Production, 36 (3), 183-191,
1988). Also, some reports have been made on changes in aging. However, there is no report yet on a specific evaluation method for determining whether the measured value is normal.

[0005] When conducting tests on farmed fish, it is necessary to first capture the fish in the cage by hand netting or the like. In general, blood is collected from fish using a syringe from the heart or caudal artery, or from abdominal aorta or hepatic artery after laparotomy. Since a series of these operations gives a great stress to the fish, if all the individuals in the fish school are performed, there is a possibility that the growth of the whole school is inhibited or the occurrence of disease is promoted. Therefore, it is desirable to use a method in which some individuals in a school of fish are selected as representatives of the entire school, and the whole school can be evaluated. For this purpose, it is of course desired to establish an evaluation method capable of accurately detecting an abnormality in the entire group from a small number of representative examples, as well as accumulating background data which is a so-called normal value in fish.

[0006]

Means for Solving the Problems As a result of intensive research based on these backgrounds, the present inventor first obtained normal values of various test values of a large number of fish individuals, and obtained one or more normal values extracted from a school of fish. The present inventors have found that the above problem can be solved by converting the test value of an individual and further comparing it with a normal value to detect an abnormality in the whole group, thereby completing the present invention. That is, the present invention is a method for detecting an abnormality in fish, which comprises comparing test values of one or more individuals arbitrarily selected from a test standard range and a target fish school.

Further, the present invention provides a method for detecting abnormalities in fish: 1) obtaining a regression curve (1) of all accumulated data for determining a fish age and a standard area prepared in advance, and moving the regression curve (1) up and down in parallel; From the range obtained by removing 1 to 5% of the upper and lower data from all data as outliers, re-obtain regression curve (2), and obtain the regression curve (2) by vertical translation Upper regression curve (3) and lower regression curve (4) when 1-20% of the upper and lower data deviate from the range
And apply the age of the fish to be evaluated in (3) and (4),
A process of determining the upper limit (M) and a lower limit (m) of the standard range at the age of the fish; 2) a test value a of the fish to be evaluated, the upper limit (M) and a lower limit (m) of the standard range determined by the process of 1) Using a constant (K, where K is a positive real number), a conversion value a ′ is obtained by performing a numerical conversion according to the formula: [2a− (M + m)] / (M−m) × K.
| A′−K | to obtain the final conversion value A (| a′−
If K | <10, it is treated as 0. ), 3) multiply the final conversion value A of one or more items by a coefficient, calculate the sum thereof, and determine that the abnormality is abnormal when the numerical value is greater than or equal to the reference value. This is an abnormality detection method.

[0008]

BEST MODE FOR CARRYING OUT THE INVENTION The present invention relates to hepatic disorders, renal disorders, excretion disorders, muscular disorders, jaundice, growth disorders, abnormal feeding of fish,
A method for detecting an infectious disease or the like is described below. As an example, a method for detecting a liver disorder is described below.

In order to detect abnormalities in fish, 1) the 6th-order formula (Y = aX ⁶ + bX ⁵ + cX ⁴ + dX ³ + eX ² + fX + g, of the fish age and all accumulated data for determining the standard area prepared in advance)
X: age, a to g: real numbers), a regression curve (1) is obtained by the least-squares method, and data of 1% each in the upper and lower parts is obtained from the range obtained by the vertical translation of the regression curve (1). After removing the outliers from all data, regression curve (2) consisting of the 6th-order equation is obtained again, and 5% each of the upper and lower data deviates from the range obtained by the vertical translation of the regression curve (2). Upper regression curve (3) and lower regression curve (4)
And apply the age of the fish to be evaluated in (3) and (4),
A process of determining the upper limit (M) and a lower limit (m) of the standard range at the age of the fish; 2) the test value a of the fish to be evaluated is determined by the upper limit (M) and the lower limit (m) of the standard range obtained by the process of 1). , Using a constant (K; any positive real number, but preferably an integer from 5 to 20), using the formula: [2a− (M + m)] / (M−m) × K To obtain a conversion value a ′, and further, an equation:
a′-K | to obtain the final conversion value A (the test values are liver relative weight value, aspartate aminotransferase and alanine aminotransferase, each of which is applied to the above a, and the final liver weight conversion value ( H), the AST conversion value (AST), and the ALT conversion value (ALT) are calculated. When | a'−K | <10, it is treated as 0.), 3) Expression: H × 10 + (AST + ALT) × 5 When the required numerical value is 100 or more, it is determined as a liver disorder.

In the present invention, the test items to be performed vary depending on the purpose and conditions, but usually include body length measurement, weight measurement, food consumption measurement, clinicopathological examination, physical examination and the like.

In the present invention, the body length means any of the full length, the fork length, and the standard body length, and which one is usually used depends on the fish species. For example, for puffer fish, the standard body length is usually used, and for yellowtail, the tail fork length is used. The clinicopathological test in the present invention means a hematological test and a blood biochemical test. The measurement items of the hematological test are usually performed, and are not particularly limited.
For example, red blood cell count (RBC), hematocrit value (Ht), hemoglobin content (Hb), constant number of red blood cells of winter lobe [average red blood cell volume
(MCV), average red blood cell hemoglobin concentration (MCHC), average red blood cell hemoglobin amount (MCH)], white blood cell count (WBC), platelet count (Plat), and the like. The measurement items of the blood biochemical test are usually performed, and are not particularly limited, for example, aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP),
Leucine aminopeptidase (LAP), cholinesterase (CHE), lactate dehydrogenase (LD), creatine phosphokinase (CK), gamma glutamyl transpeptidase
(γ-GTP), amylase (Amy), lipase (Lyp) and other enzymes,
Total protein (TP), albumin (Alb), globulin (Glb), AG
Ratio (A / G), bilirubin (Bil), cholesterol (Chol), phospholipid (PL), triglyceride (TG), glucose (Gl
u), urea nitrogen (UN), uric acid (UA), creatinine (Cre), sodium (Na), potassium (K), magnesium (Mg), chlor (Cl), calcium (Ca), inorganic phosphorus (IP), Iron (Fe), unsaturated iron binding ability (UIBC), total iron binding ability (TIBC) and the like. The measuring method of these tests is not particularly limited, but can be easily measured by using a commercially available measuring kit. The sample used for these tests is serum obtained by centrifuging whole blood, blood treated with an anticoagulant, or plasma obtained by centrifuging blood treated with an anticoagulant.

The physical examination means a physiological examination such as measurement of heart rate, electrocardiogram, and body temperature, an X-ray examination, an ultrasonic examination, a tomography by a CT scan, and the like. The relative weight means a value obtained by dividing the absolute weight of internal organs such as liver and kidney by body weight.

In the present invention, the target of the test is cultured fish. Examples of farmed fish include yellowtail, yellowtail,
Red sea bream, amberjack, flounder, flounder, Japanese sardine, horse mackerel, mahata, eel, carp, rainbow trout, sweetfish, tilapia, salmon, turtle and the like can be mentioned.

In the present invention, the number of individuals subjected to the test is not particularly limited, but is preferably 1 to 30 individuals, and 3 to 5 in consideration of errors in measured values and operational convenience.
Individuals are particularly preferred. In a hematological test and a blood biochemical test, samples collected from a plurality of individuals can be mixed, and the obtained test value can be used as a representative value of the plurality of individuals.

When blood used for hematological tests and blood biochemical tests is collected, it is preferable to use known anticoagulants such as heparin, sodium citrate, EDTA and potassium oxalate. When a plasma component is used, it is preferable to immediately perform a centrifugation treatment after blood collection to separate from a blood cell component. When a serum component is used, an anticoagulant is not used, and the mixture is left for 5 to 30 minutes and then centrifuged.

The site of blood collection from fish is not particularly limited. For example, blood can be collected from the hepatic artery in the case of Trafugu and from the ventricle or arterial sphere in the case of yellowtail using a syringe. The blood collection volume should be sufficient to fulfill the purpose of the test,
For example, 3 ml or more is preferable for yellowtail, and 1.5 ml or more is preferable for Japanese puffer fish. In this case, a syringe having a volume of 0.5 to 20 ml is suitably used, and a syringe having a gauge of 17 to 27 gauge is suitable.

In the present invention, infectious diseases include bacteria, fungi,
It refers to those caused by microorganisms and parasites such as rickettsia, mycoplasma, and viruses. For example, bacterial diseases include Lactococcus garvieae (former name; E)
nterococcus seriolicida), nodular disease (Pasteurella pis
cicida), Vibrio disease (Vivrio sp.), Paracolo disease (Edward
siella tarda), cold water disease (Flavobacterium psychrophilu)
s), red mouse disease (Yersinia ruckeri), tail picking disease (A
eromonas hydrophila), grape disease (Aeromonassalmonic)
ida), nocardia asteroides, etc., and viral diseases such as iridovirus infection (Red seabrea
m irido virus, Flouder virus), infectious hematopoietic necrosis
(Infectious haemotopoietic necrosis virus), Infectious pancreatic necrosis virus,
Pufferfish albinism (unidentified) is a fungal disease
(Saprolegnia parasitica), visceral mycosis (Saprolegnia d
iclina), fungal granulomatosis (Aphanomyces piscicida), picium disease (Pythium gracile), bloat (Candida sake)
However, examples of the parasitic disease include heterobotulism.

[0018]

Next, the present invention will be described with reference to examples, but the present invention is not limited to these examples. Example 1 Calculation of Normal Values of Troughfish For a total of 1,463 cases of 4-32 month-old normal troughfish, they were collected from a culture cage, immediately opened, and blood was collected from the hepatic artery using a heparin-treated syringe. Blood samples were centrifuged to collect plasma. Test items are hematocrit, total protein, albumin, globulin, A /
G, thymol opacity test value, zinc sulfate opacity test value, aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, lactate dehydrogenase, leucine aminopeptidase, creatine phosphokinase, amylase, sodium, chlorine, potassium, calcium , Inorganic phosphorus, iron, unsaturated iron binding ability, total iron binding ability, cholesterol, triglyceride, uric acid, urea nitrogen, creatinine, and glucose. Each measured value was plotted on a graph for each test item, and a regression curve of a 6th-order equation using age as a variable was obtained by the least squares method. The measured values of 1% each in the upper and lower portions from the side farther from the regression curve were excluded as outliers, and the regression curve was obtained again by the least square method for the remaining measured values. The range of the measured values of 95% from the one closer to the regression curve was defined as the standard range of the measured values in Trafugu. As a result, each coefficient when the final regression curve, the upper limit and the lower limit were represented by the following formulas was as shown in Tables 1 and 2 (X: age, a to g, H and L: real numbers ). Regression ^{curve: Y = aX 6 + bX 5} + cX 4 + dX 3 + eX 2 + fX + g upper limit: Ymax = y (1 + H ) lower limit: Ymin = y (1-L )

[0019]

[Table 1]

[0020]

[Table 2]

Example 2 Determination of normal value of yellowtail In a total of 1862 cases of 4-18 months old yellowtails, the head and spinal cord was immediately cut after harvesting from the culture cage, and heparin sodium was extracted from the ventricle or the exposed arterial sphere. Blood was collected using the treated syringe. Blood samples were centrifuged to collect plasma. Test items are hematocrit value, total protein, albumin, globulin, A / G, thymol turbidity test value, zinc sulfate turbidity test value, aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, lactate dehydrogenase, leucine aminopeptidase , Creatine phosphokinase, amylase, sodium,
The values were chlorine, potassium, calcium, inorganic phosphorus, iron, unsaturated iron binding ability, total iron binding ability, cholesterol, triglyceride, uric acid, urea nitrogen, creatinine, and glucose. Plot each measurement value on a graph for each inspection item,
A regression curve of a 6th-order equation using the age as a variable was obtained by the least squares method. Out of the measured values, 1% each of upper and lower measured values were excluded as outliers from the farthest side from this regression curve, and regression curves were again obtained for the remaining measured values by the least squares method. The range of 95% of the measured values from the one closer to the regression curve was taken as the standard range for the measured values in yellowtail.
As a result, when the final regression curve, the upper limit and the lower limit were represented by the following formulas, the respective coefficients were as shown in Tables 3 and 4 (X: age, a to g, H and L: real numbers) ). Regression ^{curve: Y = aX 6 + bX 5} + cX 4 + dX 3 + eX 2 + fX + g upper limit: Ymax = y (1 + H ) lower limit: Ymin = y (1-L )

[0022]

[Table 3]

[0023]

[Table 4]

Example 3 Yellowtail with Liver Injury A single 401-day-old yellowtail was measured for body weight, liver weight, aspartate aminotransferase level and alanine aminotransferase level. As a result, the weight
The liver weight was 35.7 g, the relative liver weight was 1.4, the aspartate transferase value was 289 U / l, and the alanine aminotransferase value was 117 U / l. When the standard ranges of relative liver weight, aspartate aminotransferase value, and alanine aminotransferase value were determined by the method shown in Example 2, they were 0.8 to 1.
9, 9-100 and 0-16. Use these values in the formula: [2a
− (M + m)] / (M−m) × K (where a is each test value, M is the upper limit of the standard range, m is the lower limit of the standard range, and K means a constant = 10.)
To obtain a conversion value a ', and further, the expression:
a'-K |, the liver weight conversion value (H), AST conversion value (AS
T) and the ALT conversion value (ALT) were determined, and it was found that H was 9.09 (0 because it was less than 10), AST was 41.53, and ALT was 126.25. When these values were applied to the formula: H × 10 + (AST + ALT) × 5, the value was 838.9, so the yellowtail was evaluated as having liver damage.

Example 4 Yellowtail with Kidney Damage A single 461-day-old yellowtail was measured for uric acid and creatinine and found to be 0.0 mg / dl and 4.0 mg / dl, respectively. When the standard ranges of uric acid value and creatinine value were determined by the method shown in Example 2, they were determined to be 0.
0-0.5, 0.2-1.6. These values are calculated using the formula: [2a− (M
+ M)] / (M−m) × K (where a is each test value, M is the upper limit of the standard range, m is the lower limit of the standard range, and K means a constant = 10), The conversion value a 'is obtained, and the expression: | a'-
K |, uric acid conversion value (UA), creatinine conversion value (Cr
When asked for e), UA was 0 and Cre was 34.29. When these values are applied to the formula: (UA + Cre) x 50, 1714.
Since the rating was 5, the yellowtail was evaluated as having renal impairment.

Example 5 Yellowtail with Myopathies A 551-day-old yellowtail was measured for aspartate aminotransferase, lactate dehydrogenase and creatine phosphokinase.
l, 972 U / l and 647 U / l. When the standard ranges of aspartate aminotransferase value, lactate dehydrogenase value and creatine phosphokinase value were determined by the method shown in Example 2, they were 10 to 116 and 25 to 5 respectively.
53 and 6-267. These values are calculated according to the formula: [2a− (M
+ M)] / (M−m) × K (where a is each test value, M is the upper limit of the standard range, m is the lower limit of the standard range, and K means a constant = 10), The conversion value a 'is obtained, and the expression: | a'-
When AST conversion value (AST), LD conversion value (LD) and CK conversion value (CK) were obtained by K |, AST was 15.09 and LD was 1
5.87, CK was 29.11. These values are calculated using the formula: (AST + LD
The result was 600.7 when applied to (+ CK) × 10, so the yellowtail was evaluated as having muscular disorder.

Claims (11)

[Claims] 1. A method for detecting abnormalities in fish, comprising comparing test values of one or more individuals arbitrarily selected from a test standard range and a target fish school. 2. The method according to claim 1, wherein one or more test items are selected, multiplied by a specific coefficient for each test item, and added to obtain a score. When the score exceeds a certain standard, it is determined that there is an abnormality. The method for detecting an abnormality in fish according to claim 1. 3. The method for detecting abnormalities in fish according to claim 1, wherein the judgment items are hepatic disorder, renal disorder, excretory disorder, muscular disorder, jaundice, growth disorder, abnormal feeding, and infectious disease. 4. The fish abnormality according to claim 3, wherein the infectious disease is streptococcal disease, nodular disease, edwajellosis, vibrio disease, eromonas disease, sesame disease, paracolo disease, heterobotulism, and albinism. Detection method. 5. The fish abnormality according to any one of claims 1 to 4, wherein the fish is yellowtail, red pufferfish, red sea bream, amberjack, gibberellfish, swordfish, mackerel, mahata, eel, carp, rainbow trout, ayu, salmon. Detection method. 6. Detecting fish abnormalities: 1) Obtain regression curve (1) of all accumulated data for determining fish age and standard area prepared in advance, and obtain the regression curve (1) by vertical translation. From the range, after removing 1 to 5% of the upper and lower data from all data as outliers, the regression curve (2) was obtained again, and from the range obtained by the vertical translation of the regression curve (2), Upper regression curve (3) and lower regression curve (4) when 1-20% of the upper and lower data are out of number
And apply the age of the fish to be evaluated in (3) and (4),
A process of determining the upper limit (M) and a lower limit (m) of the standard range at the age of the fish; 2) a test value a of the fish to be evaluated, the upper limit (M) and a lower limit (m) of the standard range determined by the process of 1) Using a constant (K, where K is a positive real number), a conversion value a ′ is obtained by performing a numerical conversion according to the formula: [2a− (M + m)] / (M−m) × K.
| A′−K | to obtain the final conversion value A (| a′−
If K | <10, it is treated as 0. And 3) multiplying the final conversion value A of one or more items by a coefficient, calculate the sum of the coefficients, and determine that the value is abnormal when the value is equal to or more than the reference value. The method for detecting an abnormality in fish according to any one of claims 1 to 5. 7. Detection of fish abnormalities: 1) A regression curve (1) consisting of a 6-order equation of fish age and all accumulated data for standard area determination prepared in advance is obtained by a least square method, and a regression curve ( From the range obtained by the vertical translation in 1), 1% each of the upper and lower data is deleted from all the data as outliers, and then the regression curve consisting of the 6th-order equation is used again.
From (2), the upper regression curve (3) and the lower regression curve (4) are obtained from the range obtained by the vertical translation of the regression curve (2) when the upper and lower 5% data are deviated. , (3)
And (4) applying the fish age of the fish to be evaluated and obtaining the upper limit (M) and lower limit (m) of the standard range at the fish age. 2) Obtaining the test value a of the fish to be evaluated by the process 1). Using the upper limit (M), lower limit (m), and constant (K, where K is a positive real number) of the standard range, numerical conversion by the formula: [2a− (M + m)] / (M−m) × K To obtain a conversion value a ′, and further, an equation:
a) The final conversion value A is determined by a'-K | (the test values are relative liver weight value, aspartate aminotransferase and alanine aminotransferase, each of which is applied to a in the above formula to obtain the final liver weight conversion value). Value (H), AST conversion value (AST), ALT conversion value (ALT)
Ask for. If | a'−K | <10, it is treated as 0. The method according to any one of claims 1 to 5, further comprising the step of determining liver damage when the value obtained by the formula: H x 10 + (AST + ALT) x 5 is 100 or more. For detecting abnormalities in fish. 8. Detection of abnormalities in fish: 1) A regression curve (1) consisting of a 6-order equation of fish age and all accumulated data for standard area determination prepared in advance is obtained by a least square method, and a regression curve ( From the range obtained by the vertical translation in 1), 1% each of the upper and lower data is deleted from all the data as outliers, and then the regression curve consisting of the 6th-order equation is used again.
From (2), the upper regression curve (3) and the lower regression curve (4) are obtained from the range obtained by the vertical translation of the regression curve (2) when the upper and lower 5% data are deviated. , (3)
Applying the fish age of the fish to be evaluated in (4) and (4) to obtain the upper limit (M) and lower limit (m) of the standard range at the fish age; 2) obtaining the test value a of the fish to be diagnosed by the process 1) Using the upper limit (M), lower limit (m), and constant (K, where K is a positive real number) of the standard range, numerical conversion by the formula: [2a− (M + m)] / (M−m) × K To obtain a conversion value a ′, and further, an equation:
The process of obtaining the final conversion value A by a'-K | (the test values are uric acid and creatinine, and these are applied to a in the above formula to obtain the uric acid conversion value (UA) and the creatinine conversion value (Cre). If | a'−K | <10, treat it as 0.), 3) Equation: (UA + Cre) × 50 When the numerical value obtained by (100) or more is 100 or more, it is determined that it is a process of determining that the patient has renal impairment. Claim 1.
6. The method for detecting a fish abnormality according to any one of claims 5 to 5. 9. Detection of abnormalities in fish: 1) A regression curve (1) consisting of a 6-order equation of fish age and all accumulated data for standard area determination prepared in advance is obtained by a least square method, and a regression curve ( From the range obtained by the vertical translation in 1), 1% each of the upper and lower data is deleted from all the data as outliers, and then the regression curve consisting of the 6th-order equation is used again.
From (2), the upper regression curve (3) and the lower regression curve (4) are obtained from the range obtained by the vertical translation of the regression curve (2) when the upper and lower 5% data are deviated. , (3)
Applying the fish age of the fish to be evaluated in (4) and (4) to obtain the upper limit (M) and lower limit (m) of the standard range at the fish age; 2) obtaining the test value a of the fish to be diagnosed by the process 1) Using the upper limit (M), lower limit (m), and constant (K, where K is a positive real number) of the standard range, numerical conversion by the formula: [2a− (M + m)] / (M−m) × K To obtain a conversion value a ′, and further, an equation:
a′-K | to obtain the final conversion value A (the test values are the test values of aspartate aminotransferase, lactate dehydrogenase and creatine kinase, and these are applied to the above formula a to obtain the final asparagine Calculate the acid transferase conversion value (AST), lactate dehydrogenase conversion value (LD), and creatine kinase conversion value (CK) .If | a'-K | <10, treat it as 0.), 3) Formula : The value obtained by (AST + LD + CK) x 10 is 100
The method according to any one of claims 1 to 5, further comprising the step of determining a muscle disorder when the above is the case. 10. Detection of abnormalities in fish: 1) A regression curve (1) consisting of a 6-order equation of fish age and all accumulated data for determination of a standard area prepared in advance is obtained by a least square method, and a regression curve ( From the range obtained by the vertical translation in 1), 1% each of the upper and lower data is deleted from all the data as outliers, and then the regression curve consisting of the 6th-order equation is used again.
From (2), the upper regression curve (3) and the lower regression curve (4) are obtained from the range obtained by the vertical translation of the regression curve (2) when the upper and lower 5% data are deviated. , (3)
Applying the fish age of the fish to be evaluated in (4) and (4) to obtain the upper limit (M) and lower limit (m) of the standard range at the fish age; 2) obtaining the test value a of the fish to be diagnosed by the process 1) Using the upper limit (M), lower limit (m), and constant (K, where K is a positive real number) of the standard range, numerical conversion by the formula: [2a− (M + m)] / (M−m) × K To obtain a conversion value a ′, and further, an equation:
The process of obtaining the final conversion value A by a′−K | (the inspection values are hematocrit and bilirubin, and these are applied to “a” in the above equation to obtain the final hematocrit conversion value (Ht) and bilirubin conversion value (Bil) However, if | a'−K | <10, treat it as 0.), 3) From the process of judging jaundice when the numerical value obtained by the formula: (Ht + Bil) × 5 is 100 or more. The method for detecting an abnormality in a fish according to any one of claims 1 to 5, characterized in that: 11. Detection of abnormalities in fish: 1) A regression curve (1) consisting of a 6-order equation of fish age and all accumulated data for standard area determination prepared in advance is obtained by a least square method, and a regression curve ( From the range obtained by the vertical translation in 1), 1% each of the upper and lower data is deleted from all the data as outliers, and then the regression curve consisting of the 6th-order equation is used again.
From (2), the upper regression curve (3) and the lower regression curve (4) are obtained from the range obtained by the vertical translation of the regression curve (2) when the upper and lower 5% data are deviated. , (3)
Applying the fish age of the fish to be evaluated in (4) and (4) to obtain the upper limit (M) and lower limit (m) of the standard range at the fish age; 2) obtaining the test value a of the fish to be diagnosed by the process 1) Using the upper limit (M), lower limit (m), and constant (K, where K is a positive real number) of the standard range, numerical conversion by the formula: [2a− (M + m)] / (M−m) × K To obtain a conversion value a ′, and further, an equation:
The process of obtaining the final conversion value A by a'-K | (the test values are thymol turbidity test, aspartate aminotransferase, alkaline phosphatase, urea nitrogen, and total cholesterol, and these are each applied to a in the above formula to obtain the final value. Thymol opacity test conversion value (TTT), aspartate aminotransferase conversion value (AST), alkaline phosphatase conversion value (ALP), urea nitrogen conversion value
(UN) and total cholesterol conversion value (Chol) are determined. |
If a'−K | <10, it is treated as 0. The fish according to any one of claims 1 to 5, characterized in that it comprises a step of judging an infectious disease when the value obtained by the formula: (TTT + AST + ALP + UN + Chol) × 10 is 100 or more. How to detect abnormalities.