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Distinguishing method for coilia fishes population based on otolith morphology

A discrimination method and otolith technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of high consumption of time, capital and workload, difficulty in investigation, and large span in time scale, etc. cost, overcoming the effect of low discrimination rate and high repeatability

Inactive Publication Date: 2018-11-27
FRESHWATER FISHERIES RES CENT OF CHINESE ACAD OF FISHERY SCI
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Benefits of technology

This patented technology uses image analysis techniques from cameras or scanners to identify specific types of coilidium (Coils) found at various locations throughout waterways such as rivers, lakes, ponds, etc., without any complicated processes like physical measurements. By comparing images taken under certain environmental factors, we find patterns between them indicating possible relationships among sea life's genera. These patterned areas indicate similarities across multiple races within one group compared against another.

Problems solved by technology

This patented problem addressed in the patents relates to studying the distribution patterns and behavior of various types of marine organisms like Achoridae and Cynopterisceae during their migration through waterways. Traditional techniques require extensive laboratory preparation and observation over long periods of time. To address this issue, new tools based on DNA technology have emerged recently, but they still face challenges related to accurate identification and quantitative evaluation of individual taxa's resource allocation under varying environmental factors.

Method used

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  • Distinguishing method for coilia fishes population based on otolith morphology
  • Distinguishing method for coilia fishes population based on otolith morphology
  • Distinguishing method for coilia fishes population based on otolith morphology

Examples

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Embodiment 1

[0036] Embodiment 1: A method for discriminating fish populations of the genus Anchovy based on otolith morphology, using the following process steps:

[0037] (1) Collection: 10 anchovy and anchovy specimens were collected in the Kowloon Estuary in September 2016, and the dextral otoliths were removed after transported back to the laboratory as research objects;

[0038] (2) Shooting: Use a digital camera to take pictures of the complete otolith morphology on a flat plate with scales in the upward direction of the main groove of the otolith;

[0039] (3) Correction: Correct the magnification of all photos in the same direction on the computer, so that all photos are in the same direction and at the same magnification;

[0040] (4) Database establishment: Utilize tpsdig2 software to the coordinate point that takes and has processed the otolith picture establishment, such as figure 1 As shown, obtain the x and y coordinate values ​​(2D) of the landmark points, establish the co...

Embodiment 2

[0045] Embodiment 2: A method for discriminating fish populations of the genus Anchovy based on otolith morphology, using the following process steps:

[0046] (1) Collection: 10 short-jawed anchovy were collected in Poyang Lake in July 2016, and 10 anchovy were collected in Taihu Lake in June 2017. After transporting them back to the laboratory, the right sagittal otoliths were extracted as research objects;

[0047] (2) Shooting: Use a digital camera to take pictures of the complete otolith morphology on a flat plate with scales in the upward direction of the main groove of the otolith;

[0048] (3) Correction: Correct the magnification of all photos in the same direction on the computer, so that all photos are in the same direction and at the same magnification;

[0049] (4) Database establishment: Utilize tpsdig2 software to the coordinate point that takes and has processed the otolith picture establishment, such as figure 1 As shown, obtain the x and y coordinate values ...

Embodiment 3

[0054] Embodiment 3: A method for discriminating fish populations of the genus Anchovy based on otolith morphology, using the following process steps:

[0055] (1) Collection: 10 Anchovy were collected in May 2017 in the Yangtze River Estuary, and 10 Anchovy were collected in Oujiang Estuary in August 2008. They were transported back to the laboratory and the right otoliths were taken as research objects. ;

[0056] (2) Shooting: Use a digital camera to take pictures of the complete otolith morphology on a flat plate with scales in the upward direction of the main groove of the otolith;

[0057] (3) Correction: Correct the magnification of all photos in the same direction on the computer, so that all photos are in the same direction and at the same magnification;

[0058] (4) Database establishment: Utilize tpsdig2 software to the coordinate point that takes and has processed the otolith picture establishment, such as figure 1 As shown, obtain the x and y coordinate values ​...

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Abstract

The invention relates to a distinguishing method for coilia fishes population based on otolith morphology, and belongs to the technical field of aquatic wildlife protection. The method comprises: By collection, photographing, correction, database establishment and discriminant analysis, collecting coilia fish samples in different water areas; after sample collection, carrying the samples back to alaboratory, removing an otolith, and taking photos with a main groove surface facing upward; correcting an amplification factor of all photos according to an unified direction, so that all photos arein the unified direction and amplification factor; establishing a reference coordinate axis system and calculating coordinate point data files of contour end points of the otolith morphology and a main groove inflection point. The analysis method is reliable and has good precision. The method effectively distinguishes different species of coilia fishes, and effectively distinguishes different population of coilia fishes. In addition, an otolith morphological characteristic library and a discriminant function equation of each coilia fish can be established.

Description

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Claims

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Application Information

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Owner FRESHWATER FISHERIES RES CENT OF CHINESE ACAD OF FISHERY SCI
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