Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis

• Published in: Genetics selection evolution (Paris) Vol. 55; no. 1; p. 67
• Main Authors: Wang, Zhuoshi, Doekes, Harmen, Bijma, Piter
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 28.09.2023; BioMed Central; BMC
• Subjects: Accuracy; Agent-based models; Analysis; Animal behavior; Animal breeding; Animal welfare; Animals; Availability; Behavior; Breeding of animals; Computer vision; Data analysis; Data simulation; family structure; Genetic analysis; genetic correlation; Genetic diversity; Genetic improvement; Genetic research; genetic variation; Hogs; Injury analysis; Injury prevention; Life Sciences; Livestock; Machine vision; Mathematical models; Parameters; phenotype; Phenotyping; Poultry; Quantitative genetics; Selective breeding; Sensors; Simulation; Social behavior; Social factors; Social interactions; Social network analysis; Social networks; statistical models; swine; tail; variance

Harmful social behaviours, such as injurious feather pecking in poultry and tail biting in swine, reduce animal welfare and production efficiency. While these behaviours are heritable, selective breeding is still limited due to a lack of individual phenotyping methods for large groups and proper gen...