Biometrics
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ScribdTranslationsFEDERICO VILLARREAL NATIONAL UNIVERSITY
FACULTYOFOCEANOGRAPHYFISHERIESAND FOOD SCIENCES
PROFESSIONAL SCHOOL: FOOD ENGINEERING
SUBJECT: FISHING TECHNOLOGY AND OILS AND FATS
MAG. CARMEN DEL PILAR MINAYAAGUERO
PRACTICE N 1
BIOMETRIC AND STATISTICALANALYSIS OF FISH
I. OBJECTIVES
1. Carry out the basic biometrics of the fish, with measurements of total length and part length.
components (head length, body, maximum thickness) and total weight and fractional weights (weight of the
head, entrails, backbone.
2. Obtain the yield of the samples by cut/process fillet without skin and bones.
3. Analyze the length-weight relationship using exponential regression.
II. THEORETICAL FRAMEWORK
Measurements of the length of the whole fish and its parts is a practice commonly used by the
fisheries research. This measurement is an easy procedure, it does not require expensive and elaborate equipment,
A measuring board or ichthyometer, a pencil, and a notebook are needed to record the measurements.
The size or length data obtained systematically over a prolonged period can reveal
important information about the effects of environmental factors that influence fish populations
the undue extractions that can affect the yields of the coming years.
The full weight measurements of the fish and the fractional weights, using a properly calibrated scale
calibrated, allows reporting on the estimation of the actual yield of a fish in its direct consumption use according to
the different areas of use.
The dynamics of fish populations largely depends on the knowledge of growth rates and
mortality. To estimate the growth rate by size and weight, it is desirable to determine the age of the fish
individually. The direct determination of a fish's age by measuring marks on the scales and others
Skeleton structures require special training and time consumption. Therefore, the methods
indirectly, it is to determine age by using frequency distribution data of the measurement and
length.
The analysis of the frequency data of sizes, in addition to obtaining the ages of fish by sizes, is possible.
establish the age composition of commercial catches, this analysis also provides information
valuable, regarding the length, growth rate, maturity, and spawning of the fish, in order to conserve the dynamics
population.
The structure of size and weight provides the relevant information to establish the state of the biomass of the
main pelagic and demersal species that constitute the foundation and support of the fishing industry.
The knowledge of fishery resources that are classified as unknown and unexploited
traditional), their biometrics and assessment in order to expand these hydrobiological resources elsewhere
applications.
Also, from the results of biometric evaluation, one can interpret the conditions of the marine ecosystem, its
stability, changes or a return to normality.
III. MATERIALS AND EQUIPMENT
Sample: Fish
Knives
Plastic bags (waste and litter)
Stainless steel tray.
Teams:
Ichthyometers Mechanical scale
IV. PROCEDURE
According to TECHNICAL WORK SHEET - BIOMETRY
VI. DISCUSSION ACCORDING TO OBJECTIVES
VII. CONCLUSIONS
VIII. BIBLIOGRAPHY
FAO., Methods for Collecting and Analyzing Length and Age Data for Fish Stock Assessment
- LOZANO F., Oceanography Marine Biology and Fishing, publisher Paraninfo.
- Schaum, General Statistics, McGraw-Hill publishing
TECHNICAL WORK SHEET-BIOMETRY
NAME OF THE FISH:
I. BIOLOGICAL FISHING BACKGROUND
Family:
Scientific name:
Common name:
Other names:
Distribution in Peru:
Habitat:
II. BASIC BIOMETRY (Table No. 1)
measurements 1 2 3 4 5 6 7 8 9 10 11 12 13 15 16
sample
Weight(g)
Totallength(cm)
measurements 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
sample
Weight (g)
Totallength(cm)
(Table No. 2)
COMPONENTS cm
Total length A-B
Pre-caudal length A-C
Head length A-D
Maximum cross section E-F
Maximum thickness
III. PHYSICAL CHARACTERISTICS AND PERFORMANCE (Table No. 3)
COMPOSITION YIELDS (%)
PHYSICS
COMPONENTS (%) Fillet without skin and bones
Head
Viscera
Spine
IV. LENGTH-HEIGHT RELATIONSHIP
Highlight the maximum and minimum relationship of weight and height through power regression analysis.
(Table No. 1) length: weight Eq. 1
2. Graph the weight-height relationship.
Equation 1 W = A. Lb
Where:
weight (g)
A=Intercept b = slope
length (cm)
Note: The student must bring an apron and soap.
towel