Implementation and improvement of animal-based measures for environmental management assessment items in animal welfare certification system
Year: 2025
Type: article
Abstract: South Korea has implemented an animal welfare certification system for seven livestock species since 2012. However, the system faces limitations such as ambiguous assessment criteria, reliance on subjective judgment, and insufficient use of animal-based measures. Although some studies have investigated animal-based measures for farm animals raised in South Korea, their integration into the certification standards remains limited - especially in environmental management, where housing conditions play a critical role in determining welfare outcomes. This study discusses the limitations of environmental management assessment criteria in the animal welfare certification system for cattle and proposes directions for applying animal-based measures. Cattle are vulnerable to glare, contrast and ununiform lighting, yet current certification standards specify only illuminance levels focused on worker comfort. Under such conditions, showed behavioral changes such as stopping, changing stride, increasing moving speed, avoiding obstacles, and hesitation in walking. Current air quality assessments are limited in scope and primarily rely on subjective sensory evaluations of the evaluator. Exposure to airborne pollutants can cause tearing, nasal discharge, coughing, and corneal ulcers in cattle, and further research is warranted to clarify the relationship between airborne pollutants and associated clinical symptoms in cattle. Temperature assessment relies on facility status and daily records, but the effect of the facility and the perceived temperature can differ even in the same environment due to various factors. Panting and shivering scores have been used in several studies as indicators of cattle
Source: Animal Industry and Technology
DOI: 10.5187/ait.2500012
Authors: Yejin Mun, Sang-Ho Kim, Nag-Jin Choi
Institution: Jeonbuk National University
Language: English
Subfield: Small Animals
Field: Veterinary
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4414614741