Ammonia and greenhouse gas distribution in a dairy barn during warm periods

Provvidenza Rita D’URSO, Claudia ARCIDIACONO, Giovanni CASCONE

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Front. Agr. Sci. Eng. ›› 2024, Vol. 11 ›› Issue (3) : 428-441. DOI: 10.15302/J-FASE-2024542
RESEARCH ARTICLE

Ammonia and greenhouse gas distribution in a dairy barn during warm periods

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Highlights

● Environmental impacts in the dairy sector are mostly related to emissions of ammonia and greenhouse gases.

● Highest concentrations of these gases were in the center of the open barn during warm periods.

● Gas distribution varied vertically and horizontally, and differed between gases.

● Openings and the cooling systems increased indoor ventilation diluting these gases.

● Cleaning, milking and cooling practices affected cow behavior and altered diurnal gas patterns.

Abstract

This research aimed to quantify concentrations of ammonia (NH3), carbon dioxide (CO2) and methane (CH4), estimate emissions, and analyze the factors influencing them during warm periods in an open dairy barn equipped with two cooling systems in a Mediterranean climate zone. Gas distribution within the barn was observed to vary both vertically and horizontally, with the highest gas concentrations observed in the central area of the barn. NH3, CH4 and CO2 ranged in 1.7–7.4, 7–18, 560–724 μg·g–1, respectively. Natural ventilation through openings and the operation of cooling systems induced changes in indoor microclimate conditions, influencing cow behavior and, consequently, gas production. Gas concentrations were the highest at air velocities below 0.5 m·s–1. The highest concentration of NH3 was observed when the temperature-humidity index (THI) was > 72 and ≤ 78; and CO2 and CH4 concentrations were the highest with THI ≥ 72 and decreased with THI ≤ 72. NH3 concentrations when barn management included three daily milkings were higher than those measured when barn management was based on two daily milkings, and lower for CH4 and CO2. NH3 and CH4 emissions were the highest during barn cleaning, while the lowest NH3 emissions occurred during activity of the cows (i.e., feeding, walking).

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Keywords

Ammonia / greenhouse gas / environmental monitoring / cows’ behavior / barn management / housing system / climatic parameters

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Provvidenza Rita D’URSO, Claudia ARCIDIACONO, Giovanni CASCONE. Ammonia and greenhouse gas distribution in a dairy barn during warm periods. Front. Agr. Sci. Eng., 2024, 11(3): 428‒441 https://doi.org/10.15302/J-FASE-2024542

References

[1]
Ministry of Economy and Finance (MEF). The National Recovery and Resilience Plan (NRRP). Rome: MEF of Italian Government, 2021. Available at Italian Government website on December 15, 2022
[2]
Hu E, Sutitarnnontr P, Tuller M, Jones S B. Modeling temperature and moisture dependent emissions of carbon dioxide and methane from drying dairy cow manure. Frontiers of Agricultural Science and Engineering, 2018, 5(2): 280–286
CrossRef Google scholar
[3]
Luo J, Ledgard S. New Zealand dairy farm systems and key environmental effects. Frontiers of Agricultural Science and Engineering, 2021, 8(1): 148–158
CrossRef Google scholar
[4]
Hassouna M, van der Weerden T J, Beltran I, Amon B, Alfaro M A, Anestis V, Cinar G, Dragoni F, Hutchings N J, Leytem A, Maeda K, Maragou A, Misselbrook T, Noble A, Rychła A, Salazar F, Simon P. DATAMAN: a global database of methane, nitrous oxide, and ammonia emission factors for livestock housing and outdoor storage of manure. Journal of Environmental Quality, 2023, 52(1): 207–223
CrossRef Google scholar
[5]
Baldini C, Borgonovo F, Gardoni D, Guarino M. Comparison among NH3 and GHGs emissive patterns from different housing solutions of dairy farms. Atmospheric Environment, 2016, 141: 60–66
CrossRef Google scholar
[6]
de Vries W. Impacts of nitrogen emissions on ecosystems and human health: a mini review. Current Opinion in Environmental Science & Health, 2021, 21: 100249
CrossRef Google scholar
[7]
Hempel S, Menz C, Pinto S, Galán E, Janke D, Estellés F, Müschner-Siemens T, Wang X, Heinicke J, Zhang G, Amon B, del Prado A, Amon T. Heat stress risk in European dairy cattle husbandry under different climate change scenarios—Uncertainties and potential impacts. Earth System Dynamics: ESD, 2019, 10(4): 859–884
CrossRef Google scholar
[8]
Frigeri K D M, Kachinski K D, de Castilhos Ghisi N, Deniz M, Damasceno F A, Barbari M, Herbut P, Vieira F M C. Effects of heat stress in dairy cows raised in the confined system: a scientometric review. Animals, 2023, 13(3): 350
CrossRef Google scholar
[9]
Herzog A, Winckler C, Zollitsch W. In pursuit of sustainability in dairy farming: a review of interdependent effects of animal welfare improvement and environmental impact mitigation. Agriculture, Ecosystems & Environment, 2018, 267: 174–187
CrossRef Google scholar
[10]
Herzog A, Hörtenhuber S, Winckler C, Kral I, Zollitsch W. Welfare intervention and environmental impacts of milk production e cradle-to-farm-gate effects of implementing rubber mats in Austrian dairy farms. Journal of Cleaner Production, 2020, 277: 123953
CrossRef Google scholar
[11]
De Masi R F, Ruggiero S, Tarriello F, Vanoli G P. Passive envelope solutions to aid design of sustainable livestock buildings in Mediterranean climate. Journal of Cleaner Production, 2021, 311: 127444
CrossRef Google scholar
[12]
Çaylı A, Arslan B. Analysis of the thermal environment and determination of heat stress periods for dairy cattle under eastern mediterranean climate conditions. Journal of Biosystems Engineering, 2022, 47(1): 39–47
CrossRef Google scholar
[13]
Thornton P, Nelson G, Mayberry D, Herrero M. Impacts of heat stress on global cattle production during the 21st century: a modelling study. Lancet. Planetary Health, 2022, 6(3): e192–e201
CrossRef Google scholar
[14]
D’Urso P R, Arcidiacono C, Pastell M, Cascone G. Assessment of a UWB real time location system for dairy cows’ monitoring. Sensors, 2023, 23(10): 4873
CrossRef Google scholar
[15]
Benaissa S, Tuyttens F A M, Plets D, Martens L, Vandaele L, Joseph W, Sonck B. Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer data. Animal, 2023, 17(4): 100730
CrossRef Google scholar
[16]
Melzer N, Foris B, Langbein J. Validation of a real-time location system for zone assignment and neighbor detection in dairy cow groups. Computers and Electronics in Agriculture, 2021, 187: 106280
CrossRef Google scholar
[17]
Janke D, Willink D, Ammon C, Hempel S, Schrade S, Demeyer P, Hartung E, Amon B, Ogink N, Amon T. Calculation of ventilation rates and ammonia emissions: comparison of sampling strategies for a naturally ventilated dairy barn. Biosystems Engineering, 2020, 198: 15–30
CrossRef Google scholar
[18]
König M, Hempel S, Janke D, Amon B, Amon T. Variabilities in determining air exchange rates in naturally ventilated dairy buildings using the CO2 production model. Biosystems Engineering, 2018, 174: 249–259
CrossRef Google scholar
[19]
Fiedler M, Saha C K, Ammon C, Berg W, Loebsin C, Sanftleben P, Amon T. Spatial distribution of air flow and CO2 concentration in a naturally ventilated dairy building. Environmental Engineering and Management Journal, 2014, 13(9): 2193–2200
CrossRef Google scholar
[20]
Schmithausen A J, Schiefler I, Trimborn M, Gerlach K, Südekum K H, Pries M, Büscher W. Quantification of methane and ammonia emissions in a naturally ventilated barn by using defined criteria to calculate emission rates. Animals, 2018, 8(5): 75
CrossRef Google scholar
[21]
Ngwabie N M, Jeppsson K H, Nimmermark S, Swensson C, Gustafsson G. Multi-location measurements of greenhouse gases and emission rates of methane and ammonia from a naturally-ventilated barn for dairy cows. Biosystems Engineering, 2009, 103(1): 68–77
CrossRef Google scholar
[22]
Ngwabie N M, Jeppsson K H, Gustafsson G, Nimmermark S. Effects of animal activity and air temperature on methane and ammonia emissions from a naturally ventilated building for dairy cows. Atmospheric Environment, 2011, 45(37): 6760–6768
CrossRef Google scholar
[23]
Hempel S, Saha C K, Fiedler M, Berg W, Hansen C, Amon B, Amon T. Non-linear temperature dependency of ammonia and methane emissions from a naturally ventilated dairy barn. Biosystems Engineering, 2016, 145: 10–21
CrossRef Google scholar
[24]
Bobrowski A B, Willink D, Janke D, Amon T, Hagenkamp-Korth F, Hasler M, Hartung E. Reduction of ammonia emissions by applying a urease inhibitor in naturally ventilated dairy barns. Biosystems Engineering, 2021, 204: 104–114
CrossRef Google scholar
[25]
Bjerg B, Zhang G, Madsen J, Rom H B. Methane emission from naturally ventilated livestock buildings can be determined from gas concentration measurements. Environmental Monitoring and Assessment, 2012, 184(10): 5989–6000
CrossRef Google scholar
[26]
Intergovernmental Panel on Climate Change (IPCC). 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. IPCC, 2019. Available online at IPCC website on January 17, 2023
[27]
Porto S M C, D’Emilio A, Cascone G. On the influence of the alternation of two different cooling systems on dairy cow daily activities. Journal of Agricultural Engineering, 2017, 48(1): 21–27
CrossRef Google scholar
[28]
Bava L, Tamburini A, Penati C, Riva E, Mattachini G, Provolo G, Sandrucci A. Effects of feeding frequency and environmental conditions on dry matter intake, milk yield and behaviour of dairy cows milked in conventional or automatic milking systems. Italian Journal of Animal Science, 2012, 11(3): 230–235
CrossRef Google scholar
[29]
Calegari F, Calamari L, Frazzi E. Misting and fan cooling of the rest area in a dairy barn. International Journal of Biometeorology, 2011, 56(2): 287–295
CrossRef Google scholar
[30]
D’Emilio A, Porto S M C, Cascone G, Bella M, Gulino M. Mitigating heat stress of dairy cows bred in a free-stall barn by sprinkler systems coupled with forced ventilation. Journal of Agricultural Engineering, 2017, 48(4): 190–195
CrossRef Google scholar
[31]
LumaSense Technologies. Instruction Manual INNOVA 1409. Ballerup: LumaSense Technologies, 2017. Available at LumaSense Technologies website on January 12, 2023
[32]
Hoffmann G, Herbut P, Pinto S, Heinicke J, Kuhla B, Amon T. Animal-related, non-invasive indicators for determining heat stress in dairy cows. Biosystems Engineering, 2020, 199: 83–96
CrossRef Google scholar
[33]
Bohmanova J, Misztal I, Cole J B. Temperature-humidity indices as indicators of milk production losses due to heat stress. Journal of Dairy Science, 2007, 90(4): 1947–1956
CrossRef Google scholar
[34]
Ministry of Agricultural, Food and Forestry Policies. Hot Weather Alert for Dairy Cattle. Italian Government, 2019. Available at Italian Government website on January 4, 2019 (in Italian)
[35]
Armstrong D V. Heat stress interaction with shade and cooling. Journal of Dairy Science, 1994, 77(7): 2044–2050
CrossRef Google scholar
[36]
Overton M W, Sischo W M, Temple G D, Moore D A. Using time-lapse video photography to assess dairy cattle lying behavior in a free-stall barn. Journal of Dairy Science, 2002, 85(9): 2407–2413
CrossRef Google scholar
[37]
Fregonesi J A, Veira D M, von Keyserlingk M A G, Weary D M. Effects of bedding quality on lying behavior of dairy cows. Journal of Dairy Science, 2007, 90(12): 5468–5472
CrossRef Google scholar
[38]
Ogink N W M, Mosquera J, Calvet S, Zhang G. Methods for measuring gas emissions from naturally ventilated livestock buildings: developments over the last decade and perspectives for improvement. Biosystems Engineering, 2013, 116(3): 297–308
CrossRef Google scholar
[39]
Pedersen S, Sällvik K. The 4th Report of Working Group on Climatization of Animal Houses. Heat and Moisture Production at Animal and House Level. Horsens, Denmark: CIGR International Commission of Agricultural and Biosystems Engineering, 2002. Available online at CIGR website on May 16, 2023
[40]
Saha C K, Ammon C, Berg W, Loesbin C, Fiedler M, Brunsch R, von Bobrutzki K. The effect of external wind speed and direction on sampling point concentrations, air change rate and emissions from a naturally ventilated dairy building. Biosystems Engineering, 2013, 114(3): 267–278
CrossRef Google scholar
[41]
Wang X, Ndegwa P M, Joo H, Neerackal G M, Harrison J H, Stöckle C O, Liu H. Reliable low-cost devices for monitoring ammonia concentrations and emissions in naturally ventilated dairy barns. Environmental Pollution, 2016, 208(Part B): 571–579
[42]
Sahu H, Janke D, Amon T, Hempel S. Investigation of the Vertical Distribution of Ammonia, Methane, and Carbon Dioxide in a Naturally Ventilated Dairy Barn—Evaluation of Gaseous Pollutants Concentrations. In: VDI Wissensforum GmbH, Tagungsband AgEng Landtechnik, AgEng-LAND.TECHNIK, VDI Verlag GmbH, Düsseldorf (0083-5560/978-3-18092406-9), 2022, 601–609
[43]
Arcidiacono C, Porto S M C, Cascone G. On ammonia concentrations in naturally ventilated dairy houses located in Sicily. Agricultural Engineering International: CIGR Journal, 2015, 294–309
[44]
Mendes L, Edouard N, Ogink N W M, van Dooren H J C, de Fátima F, Tinôco I, Mosquera J. Spatial variability of mixing ratios of ammonia and tracer gases in a naturally ventilated dairy cow barn. Biosystems Engineering, 2015, 129: 360–369
CrossRef Google scholar
[45]
Mendes L B, Pieters J G, Snoek D, Ogink N W, Brusselman E, Demeyer P. Reduction of ammonia emissions from dairy cattle cubicle houses via improved management- or design-based strategies: a modeling approach. Science of the Total Environment, 2017, 574: 520–531
CrossRef Google scholar
[46]
D’Urso P R, Arcidiacono C. Effect of the milking frequency on the concentrations of ammonia and greenhouse gases within an open dairy barn in hot climate conditions. Sustainability, 2021, 13(16): 9235
CrossRef Google scholar
[47]
Frazzi E, Calamari L, Calegari F, Stefanini L. Behavior of dairy cows in response to different barn cooling systems. Transactions of the ASAE (American Society of Agricultural Engineers), 2000, 43(2): 387–394
CrossRef Google scholar
[48]
Honig H, Miron J, Lehrer H, Jackoby S, Zachut M, Zinou A, Portnick Y, Moallem U. Performance and welfare of high-yielding dairy cows subjected to 5 or 8 cooling sessions daily under hot and humid climate. Journal of Dairy Science, 2012, 95(7): 3736–3742
CrossRef Google scholar

Acknowledgements

The authors are grateful to the farm ALPA S.S. for providing the opportunity of carrying out the tests. The work of prof. C. Arcidiacono was conducted within the Agritech National Research Center and received funding from the European Union Next-GenerationEU (Piano Nazionale di Ripresa e Resilienza—Missione 4, Componente 2, Investimento 1.4—D.D. 1032 17/06/2022, CN00000022). In addition, the work of P.R. D’Urso and Prof. G. Cascone has been partially funded by European Union (NextGeneration EU), through the MUR-PNRR project SAMOTHRACE (CUP: E63C22000900006; CODE_ECS00000022). This manuscript reflects only the views and opinions of the authors, neither the European Union nor the European Commission can be considered responsible for these.

Compliance with ethics guidelines

Provvidenza Rita D’Urso, Claudia Arcidiacono, and Giovanni Cascone declare that they have no conflicts of interest or financial conflicts to disclose. This article does not contain any studies with human or animal subjects performed by any of the authors.

RIGHTS & PERMISSIONS

The Author(s) 2024. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)
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