Air quality monitoring in dairy farms: Description of air quality dynamics in a tunnel-ventilated housing barn and milking parlor of a commercial dairy farm

This study aimed to describe air quality dynamics in a commercial dairy farm focusing on 2 locations: a tunnel-ventilated barn (TVB) and a milking parlor (MKP). Assessed air quality components included carbon monoxide (CO), carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>), ammonia (NH<sub>3</sub>), particulate matter 2.5 µg/m<sup>3</sup> (PM2.5), total volatile organic compounds (VOC), and temperature-humidity index (THI), which were continuously monitored from August 16 to December 22, 2023, using a multiple air quality sensor platform. Descriptive analysis revealed significant hourly variability in the air quality dynamics during the study period. Mixed-effects models revealed no significant differences in the overall CO and THI measurements between the barn and milking parlor. However, the location significantly influenced overall concentrations of other air components including CO<sub>2</sub>, CH<sub>4</sub>, PM2.5, VOC, and NH<sub>3</sub>. Overall comparisons between TVB and MKP showed that the TVB had a higher overall CO<sub>2</sub> concentration mean during the observation period compared with the MKP (LSM ± SEM; 640 ± 9.02 vs. 612 ± 9.01 ppm), while the MKP recorded highest CH<sub>4</sub> levels (11.03 ± 0.52 vs. 8.87 ± 0.52 ppm). In the TVB, the NH<sub>3</sub> levels ranged from 0.401 to 44.9 ppm, whereas no NH<sub>3</sub> was detected in the MKP. The MKP recorded higher overall PM2.5 compared with the TVB (5.51 ± 0.31vs. 3.21 ± 0.31µg/m<sup>3</sup>). The VOC levels exhibited higher overall means in the TVB compared with the MKP (153 ± 2.18 vs. 144 ± 2.16 ppm) but were characterized by substantial variability in both locations. Temporal trends suggested that the monitored air components might be influenced by farm activities such as feeding, cleaning, and milking as identifiable peaks we observed at specific hours of the day. We identified hourly pattern dynamics of CO, CO<sub>2</sub>, CH<sub>4</sub>, NH<sub>3</sub>, PM2.5, VOC, and THI within the TVB and the MKP. Understanding these dynamics provides the opportunity to develop mitigation strategies for enhancing air quality within dairy facilities.

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Publication Details

Journal
Journal of Dairy Science
Published
2025-05-16
DOI
https://doi.org/10.3168/jds.2025-26372
Citations
3
Primary Topic
Effects of Environmental Stressors on Livestock
Type
article
Field-Weighted Citation Impact
3.58

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article

Air quality monitoring in dairy farms: Description of air quality dynamics in a tunnel-ventilated housing barn and milking parlor of a commercial dairy farm

Diego Manríquez, Afrin Jannat, Amanda Johnson
3 citations
Journal of Dairy Science
Effects of Environmental Stressors on Livestock
3.58
article

Air quality monitoring in dairy farms: Description of air quality dynamics in a tunnel-ventilated housing barn and milking parlor of a commercial dairy farm

Diego Manríquez, Afrin Jannat, Amanda Johnson
article en
3 citations

Abstract

This study aimed to describe air quality dynamics in a commercial dairy farm focusing on 2 locations: a tunnel-ventilated barn (TVB) and a milking parlor (MKP). Assessed air quality components included carbon monoxide (CO), carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>), ammonia (NH<sub>3</sub>), particulate matter 2.5 µg/m<sup>3</sup> (PM2.5), total volatile organic compounds (VOC), and temperature-humidity index (THI), which were continuously monitored from August 16 to December 22, 2023, using a multiple air quality sensor platform. Descriptive analysis revealed significant hourly variability in the air quality dynamics during the study period. Mixed-effects models revealed no significant differences in the overall CO and THI measurements between the barn and milking parlor. However, the location significantly influenced overall concentrations of other air components including CO<sub>2</sub>, CH<sub>4</sub>, PM2.5, VOC, and NH<sub>3</sub>. Overall comparisons between TVB and MKP showed that the TVB had a higher overall CO<sub>2</sub> concentration mean during the observation period compared with the MKP (LSM ± SEM; 640 ± 9.02 vs. 612 ± 9.01 ppm), while the MKP recorded highest CH<sub>4</sub> levels (11.03 ± 0.52 vs. 8.87 ± 0.52 ppm). In the TVB, the NH<sub>3</sub> levels ranged from 0.401 to 44.9 ppm, whereas no NH<sub>3</sub> was detected in the MKP. The MKP recorded higher overall PM2.5 compared with the TVB (5.51 ± 0.31vs. 3.21 ± 0.31µg/m<sup>3</sup>). The VOC levels exhibited higher overall means in the TVB compared with the MKP (153 ± 2.18 vs. 144 ± 2.16 ppm) but were characterized by substantial variability in both locations. Temporal trends suggested that the monitored air components might be influenced by farm activities such as feeding, cleaning, and milking as identifiable peaks we observed at specific hours of the day. We identified hourly pattern dynamics of CO, CO<sub>2</sub>, CH<sub>4</sub>, NH<sub>3</sub>, PM2.5, VOC, and THI within the TVB and the MKP. Understanding these dynamics provides the opportunity to develop mitigation strategies for enhancing air quality within dairy facilities.

Journal of Dairy ScienceVol. 108(8)
Colorado State University (US)
Western SARE, Sustainable Agriculture Research and Education
Openalex Percentile: Top 8%
Effects of Environmental Stressors on Livestock
3.58
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