Ammonia emissions from a beef cattle feedyard on the southern High Plains

Todd, Richard W.; Cole, N. A.; Clark, R. T.; Flesch, Thomas K.; Harper, Lowry A.; Baek, Bok H.

doi:10.1016/j.atmosenv.2008.05.013

Cited by 83 publications

(96 citation statements)

References 35 publications

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“…Misselbrook et al (1998) reported NH 3 emissions of 8.0 g N m 2 d -1 during the summer and 1.1 g N m 2 d -1 during the winter from concrete yards used to house dairy cattle. Similarly, Todd et al, (2008) reported summer and winter ammonia emissions of 7810 kg d -1 and 5800 kg d -1 , respectively. Ammonia nitrogen losses from cattle defecation and urination measured under pasture field conditions were reported as 1.8% in winter and 20.9% during summer months (Mulvaney et al, 2008).…”

Section: Seasonal Differences In Chemical and Physical Characteristicmentioning

confidence: 99%

Environmental Conditions in Beef Deep-Bedded Mono-Slope Facilities: A Descriptive Study

Spiehs¹,

Woodbury²,

Doran³

et al. 2011

Transactions of the ASABE

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Section: Seasonal Differences In Chemical and Physical Characteristicmentioning

confidence: 99%

Environmental Conditions in Beef Deep-Bedded Mono-Slope Facilities: A Descriptive Study

Spiehs¹,

Woodbury²,

Doran³

et al. 2011

Transactions of the ASABE

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“…Greenhouse gases and malodorous compounds like volatile fatty acids, aromatics, sulfi des, amides, and alcohols are emitted from accumulated manure; therefore, considerable research has gone into measuring gas emissions from feedlots (Auvermann et al, 2007;Ham and Baum, 2007;Kyoung et al, 2007;Todd et al, 2008). Flux chambers and wind tunnels have been used to estimate emissions at specifi c points on a feedlot surface (Duysen et al, 2003;Meisinger et al, 2001).…”

Section: Electromagnetic Induction Sensor Data To Identify Areas Of Mmentioning

confidence: 99%

Electromagnetic Induction Sensor Data to Identify Areas of Manure Accumulation on a Feedlot Surface

Woodbury

Lesch

Eigenberg

et al. 2009

Soil Science Soc of Amer J

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A study was initiated to test the validity of using electromagnetic induction (EMI) survey data, a prediction‐based sampling strategy, and ordinary linear regression modeling to predict spatially variable feedlot surface manure accumulation. A 30‐ by 60‐m feedlot pen with a central mound was selected for this study. A Dualem‐1S EMI meter (Dualem Inc., Milton, ON, Canada) pulled on 2‐m spacing was used to collect feedlot surface apparent electrical conductivity (ECa) data. Meter data were combined with global positioning system coordinates at a rate of five readings per second. Two 20‐site sampling approaches were used to determine the validity of using EMI data for prediction‐based sampling. Soil samples were analyzed for volatile solids (VS), total N (TN), total P (TP), and Cl− A stratified random sampling (SRS) approach (n = 20) was used as an independent set to test models estimated from the prediction‐based (n = 20) response surface sample design (RSSD). The RSSD sampling plan demonstrated better design optimality criteria than the SRS approach. Excellent correlations between the EMI data and the ln(Cl−), TN, TP, and VS soil properties suggest that it can be used to map spatially variable manure accumulations. Each model was capable of explaining >90% of the constituent sample variations. Fitted models were used to estimate average manure accumulation and predict spatial variations. The corresponding prediction maps show a pronounced pen design effect on manure accumulation. This technique enables researchers to develop precision practices to mitigate environmental contamination from beef feedlots.

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“…Todd [12] reported that summer emissions from a cattle feedyard were about twice as great as in the winter. Regressions were conducted for NH 3 -N loss as % of N intake as a function of air temperature using data from the literature, and fit plots are presented in Figure 3.…”

Section: Effect Of Air Temperaturementioning

confidence: 99%

Ammonia and Methane Emission Factors from Cattle Operations Expressed as Losses of Dietary Nutrients or Energy

Liu

Murphy

et al. 2017

Agriculture

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Abstract:The objective of this study was to conduct a systematic review of published literature on ammonia (NH 3 ) and enteric methane (CH 4 ) emissions from beef and dairy cattle operations to obtain statistically representative emission factors based on dietary intakes of nutrients or energy, and to identify major causes of emission variations. NH 3 emissions from lagoon or other manure storage facilities were not included in this review. The NH 3 and CH 4 emission rates, expressed as a percentage losses of dietary nutrients or energy, demonstrated much less variation compared with emission rates expressed in g/animal/day. Air temperature and dietary crude protein (CP) content were identified as two major factors that can affect NH 3 emission rates in addition to farm type. Feed digestibility and energy intake were identified as two major factors that can affect CH 4 emission rates expressed as a percentage losses of dietary energy. Generally, increasing productivity and feed efficiency represented the greatest opportunity for mitigating NH 3 or CH 4 emissions per unit of livestock product. Expressing CH 4 loss on a digestible energy basis rather than a gross energy intake basis can better represent the large variation among diets and the effects of varying dietary emission mitigation strategies.

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Ammonia emissions from a beef cattle feedyard on the southern High Plains

Cited by 83 publications

References 35 publications

Environmental Conditions in Beef Deep-Bedded Mono-Slope Facilities: A Descriptive Study

Environmental Conditions in Beef Deep-Bedded Mono-Slope Facilities: A Descriptive Study

Electromagnetic Induction Sensor Data to Identify Areas of Manure Accumulation on a Feedlot Surface

Ammonia and Methane Emission Factors from Cattle Operations Expressed as Losses of Dietary Nutrients or Energy

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