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Effect of ambient temperature on average daily gain of pigs evaluated using public weather data and a plateau-linear regression model.

Shinichiro OgawaChika OhnishiMasahiro Satoh
Published in: Animal science journal = Nihon chikusan Gakkaiho (2022)
We performed a plateau-linear regression model analysis of the average daily gain (ADG) of pigs on daily average temperature at the end of performance testing (T). Records for performance testing between 30 kg and 105 kg of 2268 purebred Duroc pigs raised at the National Livestock Breeding Center Miyazaki Station were used. Off-farm ambient temperatures were measured at the nearest Automated Meteorological Data Acquisition System station at Kobayashi, Miyazaki (Kobayashi station). A plateau-linear regression equation was obtained in which ADG decreased by 12.6 g for every 1°C when T > 21.1°C. We calculated the expected age in day at the end of testing (D105) using the regression equation obtained and T observed at the Kobayashi station in 2020. The number of days that D105 was prolonged due to higher T was 125 days, corresponding to approximately one third of the year. These results could contribute to planning and management of stable pork production in response to heat in Japan.
Keyphrases
  • air pollution
  • particulate matter
  • physical activity
  • electronic health record
  • healthcare
  • big data
  • machine learning
  • mental health
  • deep learning
  • high throughput
  • quality improvement
  • single cell
  • drug induced