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Chinese Agricultural Science Bulletin ›› 2024, Vol. 40 ›› Issue (14): 157-164.doi: 10.11924/j.issn.1000-6850.casb2024-0057

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Correlation Analysis Between AI and Manual Measurement for Morphological Traits of Two Cyprinus carpio L. Strains

MA Ziyao1,2(), PAN Hong3, WANG Kaikuo1,2, CHEN Yingjie1,2, CAO Yiming2, SUN Xiaoqing2, ZHANG Yan2()   

  1. 1 National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306
    2 Key Laboratory of Aquatic Genomics, Ministry of Agriculture and Rural Affairs/ Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141
    3 Beijing Wildlife Rescue Center, Beijing 101300
  • Received:2024-01-19 Revised:2024-03-21 Online:2024-05-15 Published:2024-05-09

Abstract:

The morphology of fish is an important population resource for artificial breeding, functional gene localization, as well as aquaculture and ecological research. The common carp (Cyprinus carpio L.) is one of the important freshwater fish species farmed in China. Natural and artificial selection have resulted in a great diversity of phenotypes among different varieties of carp. In recent years, with the rapid development of imaging technology, computational capabilities, and hardware devices, non-destructive measurement methods based on machine vision have rapidly emerged, making it an efficient and repeatable method for batch inspection of fish bodies. In order to test the accuracy of AI measurement for fish phenotypic traits, manual measurement and AI measurement were used in two ways, respectively, for the Cyprinus carpio yuankiang and the Cyprinus carpio var. Jinbei, which have significant differences in phenotypic indices. A total of 204 fish from two carp populations were selected, and 10 linear, circular, and spatial traits including total length, body length, body depth, body thickness, head length, caudal peduncle length, caudal peduncle depth, snout length, eye diameter and interorbital width were measured and compared. The results show: (1) In the two populations of Cyprinus carpio yuankiang and Cyprinus carpio var. Jinbei, for the measurement of 10 phenotypic traits, compared to manual measurement, the AI measurement results are generally larger. In the phenotypic index, there is no significant difference between the two measurement methods in the body width index (body thickness/body length), head length index (head length/body length), and caudal fin index (caudal peduncle length/body length), while the two methods show significant differences in the results of the body depth index (body depth/body length). (2) In the populations of Cyprinus carpio yuankiang and Cyprinus carpio var. Jinbei, a correlation and consistency analysis of the two measurement methods found that for a total of 6 traits including total length, body length, body depth, body thickness, head length, and interorbital width, the two methods show high consistency (r>0.85). (3) In the consistency analysis of the repeatability measurement of the two measurement methods, it was found that both manual measurement and AI measurement show good consistency (r>0.85), but the consistency of manual measurement is slightly higher than that of AI measurement. Overall, the improvement of the accuracy of AI measurement can speed up the work efficiency of measuring linear phenotypic traits such as total length and the speed of selective breeding, but the accuracy of measuring circular and spatial phenotypic traits needs to be further improved.

Key words: manual measurement, AI measurement, Cyprinus carpio yuankiang, Cyprinus carpio var. Jinbei