Literature DB >> 10844155

The preferences of laying hens for different concentrations of atmospheric ammonia.

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Abstract

Ammonia gas is one of the most abundant aerial pollutants of modern poultry buildings. The current chronic exposure limit for ammonia of 25 ppm is set for human safety rather than animal welfare. This study assessed the behavioural preferences of laying hens (Gallus gallus domesticus) for different concentrations of ammonia found in commercial poultry houses. Six groups, each of six laying hens, were given the choice of three concentrations of ammonia ( approximately 0, 25 and 45 ppm) in a preference chamber over a period of 6 days and their location and behaviour recorded every 15 min. Hens foraged (p=0.018), preened (p=0.009) and rested (p=0.029) significantly more in fresh air than in the ammonia-polluted environments. There was a significant difference between the responses in 0 and 25 ppm (p<0.05) but not between 25 and 45 ppm (p>0.05). This suggests that ammonia may be aversive to hens with a threshold for this aversion between 0 and 25 ppm. Future studies should explore graded concentrations of ammonia between 0 and 25 ppm in order to suggest a new chronic exposure limit on the basis of animal welfare.

Entities:  

Year:  2000        PMID: 10844155     DOI: 10.1016/s0168-1591(00)00110-6

Source DB:  PubMed          Journal:  Appl Anim Behav Sci        ISSN: 0168-1591            Impact factor:   2.448


  9 in total

1.  Ammonia production in poultry houses can affect health of humans, birds, and the environment-techniques for its reduction during poultry production.

Authors:  Sadia Naseem; Annie J King
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-28       Impact factor: 4.223

2.  Development and application of a novel environmental preference chamber for assessing responses of laboratory mice to atmospheric ammonia.

Authors:  Angela R Green; Christopher M Wathes; Theo G M Demmers; Judy MacArthur Clark; Hongwei Xin
Journal:  J Am Assoc Lab Anim Sci       Date:  2008-03       Impact factor: 1.232

3.  Preliminary evaluation of a nest usage sensor to detect double nest occupations of laying hens.

Authors:  Mauro Zaninelli; Annamaria Costa; Francesco Maria Tangorra; Luciana Rossi; Alessandro Agazzi; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2015-01-26       Impact factor: 3.576

4.  Development of a Machine Vision Method for the Monitoring of Laying Hens and Detection of Multiple Nest Occupations.

Authors:  Mauro Zaninelli; Veronica Redaelli; Fabio Luzi; Malcolm Mitchell; Valentino Bontempo; Donata Cattaneo; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2018-01-05       Impact factor: 3.576

5.  Effects of Liquid Yucca Supplementation on Nitrogen Excretion, Intestinal Bacteria, Biochemical and Performance Parameters in Broilers.

Authors:  Mousa M Ayoub; Hamada A Ahmed; Kadry M Sadek; Mahmoud Alagawany; Mohamed E Abd El-Hack; Sarah I Othman; Ahmed A Allam; Mervat A Abdel-Latif
Journal:  Animals (Basel)       Date:  2019-12-09       Impact factor: 2.752

6.  Broilers' head behavior as an early warning index of production and lung health under ammonia exposure.

Authors:  Qing Xiu Liu; Min Hong Zhang; Ying Zhou; Jing Hai Feng
Journal:  Poult Sci       Date:  2020-11-10       Impact factor: 3.352

7.  Moving GIS research indoors: spatiotemporal analysis of agricultural animals.

Authors:  Courtney L Daigle; Debasmit Banerjee; Robert A Montgomery; Subir Biswas; Janice M Siegford
Journal:  PLoS One       Date:  2014-08-06       Impact factor: 3.240

Review 8.  Assessing Activity and Location of Individual Laying Hens in Large Groups Using Modern Technology.

Authors:  Janice M Siegford; John Berezowski; Subir K Biswas; Courtney L Daigle; Sabine G Gebhardt-Henrich; Carlos E Hernandez; Stefan Thurner; Michael J Toscano
Journal:  Animals (Basel)       Date:  2016-02-02       Impact factor: 2.752

9.  Effects of chronic heat stress and ammonia concentration on blood parameters of laying hens.

Authors:  Dapeng Li; Qin Tong; Zhengxiang Shi; Hao Li; Yu Wang; Baoming Li; Geqi Yan; Hui Chen; Weichao Zheng
Journal:  Poult Sci       Date:  2020-04-24       Impact factor: 3.352

  9 in total

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