Ammonia Emissions from a Commercial Broiler House

2002 ◽  
Author(s):  
John W Worley ◽  
Michael Czarick ◽  
Anna M Cathey
Keyword(s):  
Ammonia Emissions ◽  
Commercial Broiler ◽  
Broiler House

scholarly journals Spatial variability of enthalpy in broiler house during the heating phase

2016 ◽  
Vol 20 (6) ◽  
pp. 570-575 ◽  
Author(s):  
Patrícia F. P. Ferraz ◽  
Tadayuki Yanagi Junior ◽  
Gabriel A. e S. Ferraz ◽  
Leonardo Schiassi ◽  
Alessandro T. Campos
Keyword(s):  
Spatial Variability ◽  
Thermal Environment ◽  
Great Influence ◽  
Heating System ◽  
Economic Losses ◽  
Thermal Discomfort ◽  
Heating Phase ◽  
Commercial Broiler ◽  
Geostatistical Techniques ◽  
Broiler House

ABSTRACT The thermal environment inside a broiler house has a great influence on animal welfare and productivity during the production phase. Enthalpy is a thermodynamic property that has been proposed to evaluate the internal broiler house environment, for being an indicator of the amount of energy contained in a mixture of water vapor and dry air. Therefore, this study aimed to characterize the spatial variability of enthalpy in a broiler house during the heating phase using geostatistics. The experiment was conducted in the spring season, in a commercial broiler house with heating system consisting of two furnaces that heat the air indirectly, in the first 14 days of the birds' life. It was possible to characterize enthalpy variability using geostatistical techniques, which allowed observing the spatial dependence through kriging maps. The analyses of the maps allowed observing problems in the heating system in regions inside the broiler house, which may cause a thermal discomfort to the animals besides productive and economic losses.

Ammonia and Nitrous Oxide Emissions from a Commercial Broiler House

2014 ◽  
Vol 43 (4) ◽  
pp. 1119-1124 ◽  
Author(s):  
D. M. Miles ◽  
P. A. Moore ◽  
R. T. Burns ◽  
J. P. Brooks
Keyword(s):  
Nitrous Oxide ◽  
Nitrous Oxide Emissions ◽  
Commercial Broiler ◽  
Broiler House

Ammonia Emissions from a U.S. Broiler House—Comparison of Concurrent Measurements Using Three Different Technologies

2010 ◽  
Vol 60 (8) ◽  
pp. 939-948 ◽  
Author(s):  
Kenneth D. Casey ◽  
Richard S. Gates ◽  
Richard C. Shores ◽  
Eben D. Thoma ◽  
D. Bruce Harris
Keyword(s):  
Ammonia Emissions ◽  
Broiler House

Ammonia concentration and emissions in a commercial broiler house at different seasons in China

2010 ◽  
Author(s):  
Zhiping Zhu ◽  
Hongmin Dong ◽  
Zhongkai Zhou ◽  
Jialin Xi ◽  
Ruijuan Ma ◽  
...  
Keyword(s):  
Ammonia Concentration ◽  
Commercial Broiler ◽  
Different Seasons ◽  
Broiler House

scholarly journals Characterizing Sounds of Different Sources in a Commercial Broiler House

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 916
Author(s):  
Xiao Yang ◽  
Yang Zhao ◽  
Hairong Qi ◽  
George T. Tabler
Keyword(s):  
Discrete Wavelet ◽  
Frequency Range ◽  
Feed System ◽  
Time Duration ◽  
Sound Sources ◽  
Commercial Broiler ◽  
Audio Data ◽  
Behavioral Frequencies ◽  
Different Sources ◽  
Broiler House

Audio data collected in commercial broiler houses are mixed sounds of different sources that contain useful information regarding bird health condition, bird behavior, and equipment operation. However, characterizations of the sounds of different sources in commercial broiler houses have not been well established. The objective of this study was, therefore, to determine the frequency ranges of six common sounds, including bird vocalization, fan, feed system, heater, wing flapping, and dustbathing, at bird ages of week 1 to 8 in a commercial Ross 708 broiler house. In addition, the frequencies of flapping (in wing flapping events, flaps/s) and scratching (during dustbathing, scratches/s) behaviors were examined through sound analysis. A microphone was installed in the middle of broiler house at the height of 40 cm above the back of birds to record audio data at a sampling frequency of 44,100 Hz. A top-view camera was installed to continuously monitor bird activities. Total of 85 min audio data were manually labeled and fed to MATLAB for analysis. The audio data were decomposed using Maximum Overlap Discrete Wavelet Transform (MODWT). Decompositions of the six concerned sound sources were then transformed with the Fast Fourier Transform (FFT) method to generate the single-sided amplitude spectrums. By fitting the amplitude spectrum of each sound source into a Gaussian regression model, its frequency range was determined as the span of the three standard deviations (99% CI) away from the mean. The behavioral frequencies were determined by examining the spectrograms of wing flapping and dustbathing sounds. They were calculated by dividing the number of movements by the time duration of complete behavioral events. The frequency ranges of bird vocalization changed from 2481 ± 191–4409 ± 136 Hz to 1058 ± 123–2501 ± 88 Hz as birds grew. For the sound of fan, the frequency range increased from 129 ± 36–1141 ± 50 Hz to 454 ± 86–1449 ± 75 Hz over the flock. The sound frequencies of feed system, heater, wing flapping and dustbathing varied from 0 Hz to over 18,000 Hz. The behavioral frequencies of wing flapping were continuously decreased from week 3 (17 ± 4 flaps/s) to week 8 (10 ± 1 flaps/s). For dustbathing, the behavioral frequencies decreased from 16 ± 2 scratches/s in week 3 to 11 ± 1 scratches/s in week 6. In conclusion, characterizing sounds of different sound sources in commercial broiler houses provides useful information for further advanced acoustic analysis that may assist farm management in continuous monitoring of animal health and behavior. It should be noted that this study was conducted with one flock in a commercial house. The generalization of the results remains to be explored.

Air Velocity Distribution in a Commercial Broiler House

2012 ◽  
Author(s):  
Brian D Luck ◽  
Jeremiah D Davis ◽  
Joseph L Purswell ◽  
Jonathan W. W Olsen
Keyword(s):  
Velocity Distribution ◽  
Air Velocity ◽  
Commercial Broiler ◽  
Broiler House

scholarly journals Effect of commercial broiler house retrofit: A 4-year study of live performance

2013 ◽  
Vol 22 (2) ◽  
pp. 211-216 ◽  
Author(s):  
Y. Liang ◽  
M.T. Kidd ◽  
S.E. Watkins ◽  
G.T. Tabler
Keyword(s):  
Live Performance ◽  
Commercial Broiler ◽  
Broiler House

scholarly journals Maximising Productivity and Eliminating Campylobacter in Broilers by Manipulating Stocking Density and Population Structure Using ‘Biosecurity Cubes’

Pathogens ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 492
Author(s):  
Genevieve Greene ◽  
Leonard Koolman ◽  
Paul Whyte ◽  
Helen Lynch ◽  
Aidan Coffey ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Population Structure ◽  
Growth Rates ◽  
Stocking Density ◽  
Stocking Rate ◽  
Faecal Samples ◽  
Commercial Broiler ◽  
Increase Productivity ◽  
Broiler House

This study investigates the effect of stocking density and population dynamics on broiler growth rates and productivity, while further validating the ability of the biosecurity cubes (BC) to protect birds from Campylobacter. In our methodology, six BC were constructed in a commercial broiler house containing approximately 28,500 birds. During three trials, the BC were stocked at densities of 12, 14, 16, 18, 20 and 22 birds/m2, with the main flock (20 birds/m2) considered the control. Periodically, 10 birds per density were weighed and examined. The Campylobacter status of the birds was monitored via faecal samples using the ISO 10272: 2017. The stocking density for maximum calculated yield was 20 (trials 1 and 2) or 22 birds/m2 (trial 3), followed by 18, 16, 14 and 12. At the stocking rate of 20 birds/m2, the birds in the pen grew faster than those at the same density in the main flock achieving 2 Kg 3–6 days faster. Birds in the BC were observed to be generally healthier, and in some cases, remained Campylobacter negative, even after the main flock was infected. Our results conclude that dividing the flock into sub-flocks of approximately 20 birds/m2 using BC could increase productivity up to 20%, while preventing Campylobacter.

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