Automated image analysis as a tool to measure individualised growth and population structure in Chinook salmon (Oncorhynchus tshawytscha)

• Published in: Aquaculture, fish and fisheries Vol. 2; no. 5; pp. 402 - 413
• Main Authors: Tuckey, Nicholas P. L., Ashton, David T., Li, Jiakai, Lin, Harris T., Walker, Seumas P., Symonds, Jane E., Wellenreuther, Maren
• Format: Journal Article
• Language: English
• Published: Sydney John Wiley & Sons, Inc 01.10.2022; Wiley
• Subjects: Accuracy; Anesthesia; Aquaculture; Automation; Breeding; breeding programme; Cameras; Computer vision; Data collection; Digital imaging; Food quality; Genotypes; growth; Identification systems; Image analysis; Image processing; Image quality; Machine vision; morphometric software; Oncorhynchus tshawytscha; Phenotypes; Population changes; population dynamics; Population structure; Population studies; Programming languages; Python; Salmon; Selective breeding; Software; Subpopulations; Tracking; Weight; New Zealand; Beijing China; United States > US; China

Selective breeding programmes depend on high‐quality measurements of phenotype and genotype with repeated individualised phenotype measurements throughout the life cycle being optimal. Recent advances in electronics and computer vision technologies offer opportunities to improve both the quality, qu...