Development of automated phenotyping system for growth traits in bivalves
Bivalves are economically important aquaculture species, contributing to over half of the maricultural production in China. Improving growth rate has been a central focus in bivalve breeding to enhance the farming yield. Accurate and efficient phenotyping is critical for the breeding and revealing t...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-10-01
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| Series: | Aquaculture Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352513425004053 |
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| author | Xiangfu Kong Shanhuan Huang Xuangang Wang Haoying Liang Chen Hu Yujue Wang Zhenmin Bao Xiaoli Hu |
| author_facet | Xiangfu Kong Shanhuan Huang Xuangang Wang Haoying Liang Chen Hu Yujue Wang Zhenmin Bao Xiaoli Hu |
| author_sort | Xiangfu Kong |
| collection | DOAJ |
| description | Bivalves are economically important aquaculture species, contributing to over half of the maricultural production in China. Improving growth rate has been a central focus in bivalve breeding to enhance the farming yield. Accurate and efficient phenotyping is critical for the breeding and revealing the genetic basis of traits. Traditionally, growth traits in bivalves were measured manually using vernier caliper and scales, a method to inaccuracies and is time-consuming, adversely affecting the accuracy of breeding parent selection and slowing genetic improvement. In this study, we developed an automated phenotyping system for growth trait measurements, which integrates 3D laser imaging, dynamic weighing, sorting, and barcode reading platform. The 3D laser imaging platform enables accurate measurement of body size parameters (shell height, length, width, area and circumference) within 1.2 s per individual, with measurement error ranging from 0.01 to 0.30 mm. The weighing platform demonstrates an accuracy exceeding 99 % for bivalves moving at 1.0 m/s. Additionally, the sorting platform enables automatic sorting of individuals based on size and weight, achieving 100 % accuracy. Individual marking and identification method were also incorporated to efficiently record sample information and monitor growth traits of individuals. The whole system handles each sample in just 1.6 s, operating at a speed approximately 11 times faster than conventional manual methods, and it is capable of handling over two thousand bivalve samples per hour. In conclusion, this system provides a rapid and accurate approach for measuring growth traits, sorting, and automatically identifying bivalves, making it a valuable platform for bivalve phenotyping and breeding. |
| format | Article |
| id | doaj-art-9ebf03c20c4e4a0b856d82eba6b53077 |
| institution | Kabale University |
| issn | 2352-5134 |
| language | English |
| publishDate | 2025-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Aquaculture Reports |
| spelling | doaj-art-9ebf03c20c4e4a0b856d82eba6b530772025-08-20T03:57:58ZengElsevierAquaculture Reports2352-51342025-10-014410301910.1016/j.aqrep.2025.103019Development of automated phenotyping system for growth traits in bivalvesXiangfu Kong0Shanhuan Huang1Xuangang Wang2Haoying Liang3Chen Hu4Yujue Wang5Zhenmin Bao6Xiaoli Hu7Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, China; Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao Marine Science and Technology Center, Qingdao, Shandong 266237, ChinaMinistry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, China; Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao Marine Science and Technology Center, Qingdao, Shandong 266237, China; Corresponding author at: Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, China.Bivalves are economically important aquaculture species, contributing to over half of the maricultural production in China. Improving growth rate has been a central focus in bivalve breeding to enhance the farming yield. Accurate and efficient phenotyping is critical for the breeding and revealing the genetic basis of traits. Traditionally, growth traits in bivalves were measured manually using vernier caliper and scales, a method to inaccuracies and is time-consuming, adversely affecting the accuracy of breeding parent selection and slowing genetic improvement. In this study, we developed an automated phenotyping system for growth trait measurements, which integrates 3D laser imaging, dynamic weighing, sorting, and barcode reading platform. The 3D laser imaging platform enables accurate measurement of body size parameters (shell height, length, width, area and circumference) within 1.2 s per individual, with measurement error ranging from 0.01 to 0.30 mm. The weighing platform demonstrates an accuracy exceeding 99 % for bivalves moving at 1.0 m/s. Additionally, the sorting platform enables automatic sorting of individuals based on size and weight, achieving 100 % accuracy. Individual marking and identification method were also incorporated to efficiently record sample information and monitor growth traits of individuals. The whole system handles each sample in just 1.6 s, operating at a speed approximately 11 times faster than conventional manual methods, and it is capable of handling over two thousand bivalve samples per hour. In conclusion, this system provides a rapid and accurate approach for measuring growth traits, sorting, and automatically identifying bivalves, making it a valuable platform for bivalve phenotyping and breeding.http://www.sciencedirect.com/science/article/pii/S2352513425004053BivalvesGrowth trait measurementSortingIndividual identificationAutomatic phenotyping system |
| spellingShingle | Xiangfu Kong Shanhuan Huang Xuangang Wang Haoying Liang Chen Hu Yujue Wang Zhenmin Bao Xiaoli Hu Development of automated phenotyping system for growth traits in bivalves Aquaculture Reports Bivalves Growth trait measurement Sorting Individual identification Automatic phenotyping system |
| title | Development of automated phenotyping system for growth traits in bivalves |
| title_full | Development of automated phenotyping system for growth traits in bivalves |
| title_fullStr | Development of automated phenotyping system for growth traits in bivalves |
| title_full_unstemmed | Development of automated phenotyping system for growth traits in bivalves |
| title_short | Development of automated phenotyping system for growth traits in bivalves |
| title_sort | development of automated phenotyping system for growth traits in bivalves |
| topic | Bivalves Growth trait measurement Sorting Individual identification Automatic phenotyping system |
| url | http://www.sciencedirect.com/science/article/pii/S2352513425004053 |
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