scholarly journals Managing Free-Range Laying Hens—Part B: Early Range Users Have More Pathology Findings at the End of Lay but Have a Significantly Higher Chance of Survival—An Indicative Study

Animals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1911
Author(s):  
Terence Zimazile Sibanda ◽  
Cormac J. O’Shea ◽  
Jessica de Souza Vilela ◽  
Manisha Kolakshyapati ◽  
Mitchell Welch ◽  
...  

While free-range laying hens frequently experience health and welfare challenges, the contribution of range use towards these risks are largely unknown. The aim of this pilot study was to investigate the survival, health and welfare of commercial free-range laying hens and explore the association with early range use. Range use of 9375 Lohmann Brown hens housed within five flocks was assessed during 18–21 weeks of age and individual hens were classified as “rangers” (frequent range users), “roamers” (intermittent range users), and “stayers” (rare/no range users) were then subject to necropsy at 74 weeks of age. Rangers and roamers were three times and 2.4 times more likely to survive than stayers, respectively (p = 0.001). Overall, rangers had significantly better feather cover and more lesions associated with spotty liver diseases compared to roamers and stayers (p = 0.001). Similarly, rangers and roamers had a higher prevalence of A. galli infection and less frequent signs of fatty liver syndrome compared to stayers. Rangers had a higher proportion of hens with full ovary follicle production compared to stayers and roamers (p = 0.035). This information is highly relevant to consider the targeted support of different flock subpopulations to improve hen health and welfare, directly affecting farm profitability. Further research on other farms is warranted to investigate the transferability of the observed results.

Animals ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. 26 ◽  
Author(s):  
Dana Campbell ◽  
Andrew Talk ◽  
Ziyang Loh ◽  
Tim Dyall ◽  
Caroline Lee

animal ◽  
2017 ◽  
Vol 11 (1) ◽  
pp. 121-130 ◽  
Author(s):  
D.L.M. Campbell ◽  
G.N. Hinch ◽  
T.R. Dyall ◽  
L. Warin ◽  
B.A. Little ◽  
...  

2018 ◽  
Vol 4 (4) ◽  
pp. 452-460 ◽  
Author(s):  
Isabelle Ruhnke ◽  
Camille Normant ◽  
Dana L.M. Campbell ◽  
Zafar Iqbal ◽  
Caroline Lee ◽  
...  

2018 ◽  
Vol 3 (1) ◽  
pp. 179-183 ◽  
Author(s):  
Irena Ciećko-Michalska ◽  
Małgorzata Szczepanek ◽  
Iga Wierzbicka-Tutka ◽  
Janina Zahradnik-Bilska ◽  
Tomasz Mach

2019 ◽  
Vol 214 ◽  
pp. 57-63 ◽  
Author(s):  
Monique Bestman ◽  
Cynthia Verwer ◽  
Thea van Niekerk ◽  
Ferry Leenstra ◽  
Berry Reuvekamp ◽  
...  
Keyword(s):  

2015 ◽  
Vol 24 (2) ◽  
pp. 197-201 ◽  
Author(s):  
Ramesh P. Arasaradnam ◽  
Michael McFarlane ◽  
Emma Daulton ◽  
Erik Westenbrink ◽  
Nicola O’Connell ◽  
...  

Background & Aims: Non-Alcoholic Fatty Liver Disease (NAFLD) is the commonest cause of chronic liver disease in the western world. Current diagnostic methods including Fibroscan have limitations, thus there is a need for more robust non-invasive screening methods. The gut microbiome is altered in several gastrointestinal and hepatic disorders resulting in altered, unique gut fermentation patterns, detectable by analysis of volatile organic compounds (VOCs) in urine, breath and faeces. We performed a proof of principle pilot study to determine if progressive fatty liver disease produced an altered urinary VOC pattern; specifically NAFLD and Non-Alcoholic Steatohepatitis (NASH).Methods: 34 patients were recruited: 8 NASH cirrhotics (NASH-C); 7 non-cirrhotic NASH; 4 NAFLD and 15 controls. Urine was collected and stored frozen. For assay, the samples were defrosted and aliquoted into vials, which were heated to 40±0.1°C and the headspace analyzed by FAIMS (Field Asymmetric Ion Mobility Spectroscopy). A previously used data processing pipeline employing a Random Forrest classification algorithm and using a 10 fold cross validation method was applied.Results: Urinary VOC results demonstrated sensitivity of 0.58 (0.33 - 0.88), but specificity of 0.93 (0.68 - 1.00) and an Area Under Curve (AUC) 0.73 (0.55 -0.90) to distinguish between liver disease and controls. However, NASH/NASH-C was separated from the NAFLD/controls with a sensitivity of 0.73 (0.45 - 0.92), specificity of 0.79 (0.54 - 0.94) and AUC of 0.79 (0.64 - 0.95), respectively.Conclusions: This pilot study suggests that urinary VOCs detection may offer the potential for early non-invasive characterisation of liver disease using 'smell prints' to distinguish between NASH and NAFLD.


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