Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approach

This study assessed the impact of transitioning from an antibiotic (AB) to an antibiotic-free (ABF) production system on dead-on-arrival (%DOA) rates during broiler transport. Data from 105,898 truckloads across 200 to 280 farms over six years were analyzed, comparing three years before (2015-2017) and after (2018-2020) the ABF transition. Decomposition analysis revealed a decline in %DOA from 2015 to 2017, followed by stability until 2019 and another decline into 2020. Seasonal fluctuations were observed, with %DOA peaking between February and April and reaching its lowest point in October. Changepoint analysis identified six significant shifts in %DOA, with the highest values occurring in 2015. Following the ABF transition, %DOA temporarily increased for about six months before stabilizing. Bayesian structural time series (BSTS) analysis showed that observed %DOA closely matched predicted values, indicating no significant effect from the ABF transition (p = 0.485; posterior probability = 51 %). These findings suggest that transport mortality can be effectively controlled without antibiotics by maintaining robust practices, such as improved sanitation, controlled rearing stocking density, optimized brooding, and enhanced pre-slaughter management.

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Journal
Poultry Science
Published
2025-05-17
DOI
https://doi.org/10.1016/j.psj.2025.105312
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approach

Chanporn Chaosap, Veerasak Punyapornwithaya, Panneepa Sivapirunthep, Chalita Jainonthee et al.
1 links
Poultry Science
Animal Nutrition and Physiology
article

Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approach

Chanporn Chaosap, Veerasak Punyapornwithaya, Panneepa Sivapirunthep, Chalita Jainonthee, Pranee Pirompud, Supitchaya Srisawang
article en

Abstract

This study assessed the impact of transitioning from an antibiotic (AB) to an antibiotic-free (ABF) production system on dead-on-arrival (%DOA) rates during broiler transport. Data from 105,898 truckloads across 200 to 280 farms over six years were analyzed, comparing three years before (2015-2017) and after (2018-2020) the ABF transition. Decomposition analysis revealed a decline in %DOA from 2015 to 2017, followed by stability until 2019 and another decline into 2020. Seasonal fluctuations were observed, with %DOA peaking between February and April and reaching its lowest point in October. Changepoint analysis identified six significant shifts in %DOA, with the highest values occurring in 2015. Following the ABF transition, %DOA temporarily increased for about six months before stabilizing. Bayesian structural time series (BSTS) analysis showed that observed %DOA closely matched predicted values, indicating no significant effect from the ABF transition (p = 0.485; posterior probability = 51 %). These findings suggest that transport mortality can be effectively controlled without antibiotics by maintaining robust practices, such as improved sanitation, controlled rearing stocking density, optimized brooding, and enhanced pre-slaughter management.

Poultry ScienceVol. 104(8)
PTT Public Company Limited (Thailand) (TH), Chiang Mai University (TH), King Mongkut's Institute of Technology Ladkrabang (TH)
King Mongkut's Institute of Technology Ladkrabang
Openalex Percentile: Top 89%
Animal Nutrition and Physiology
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Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approach — Chanporn Chaosap, Veerasak Punyapornwithaya, et al. · Poultry Science (2025) | TGRS Research Map | TGRS