| Autor: |
X, Fu, Y, Zhang, Y G, Zhang, Y L, Yin, S C, Yan, Y Z, Zhao, W Z, Shen |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Journal of Dairy Science. 105:9137-9161 |
| ISSN: |
0022-0302 |
| DOI: |
10.3168/jds.2022-21828 |
| Popis: |
Effective and comprehensive evaluation of cold stress is critical for healthy dairy cow breeding in the winter. Previous studies on dairy cow cold stress have considered thermal environmental factors but not physiological factors or air quality. Therefore, this study aimed to propose a multilevel fuzzy comprehensive evaluation (FCE) method for cold stress in dairy cows based on the analytic hierarchy process (AHP) and a genetic algorithm (GA). First, the AHP was used to construct an evaluation index system for cold stress in dairy cows from 3 dimensions: thermal environment (temperature, relative humidity, wind speed, and illumination), physiological factors (respiratory rate, body surface temperature), and air quality [NH |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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