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Dive into the research topics where Christopher M. Wathes is active.

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Featured researches published by Christopher M. Wathes.


British Poultry Science | 1997

Concentrations and emission rates of aerial ammonia, nitrous oxide, methane, carbon dioxide, dust and endotoxin in UK broiler and layer houses

Christopher M. Wathes; M. R. Holden; R. W. Sneath; R. P. White; V. R. Phillips

1. A survey of the concentration and emission rates of aerial ammonia, nitrous oxide, methane, carbon dioxide, dust and endotoxin was undertaken in 4 examples each of typical UK broiler, cage and perchery houses over 24 h during winter and summer. 2. Overall the air quality within the poultry houses was unsatisfactory as judged by the dual criteria of farmer health and bird performance. 3. Mean concentrations of ammonia ranged from 12.3 to 24.2 ppm while concentrations of methane and nitrous oxide were close to ambient levels. Mass concentrations of aerial dust ranged from 2 to 10 mg/m3 and 0.3 to 1.2 mg/m3 for inspirable and respirable fractions respectively, while endotoxin concentration was typically about 0.1 microgram/m3 (inspirable fraction). 4. Emission rates of gaseous ammonia were rapid (9.2 g (NH3)/h per 500 kg live body weight) and uniform across the three types of building, while emissions of methane and nitrous oxide were slow. Rates of dust emission ranged from 0.86 to 8.24 g/h per 500 kg live body weight in the inspirable size fraction.


Poultry Science | 2011

Environmental impacts and sustainability of egg production systems

Hongwei Xin; Richard S. Gates; Angela R. Green; Frank M. Mitloehner; P. A. Moore; Christopher M. Wathes

As part of a systemic assessment toward social sustainability of egg production, we have reviewed current knowledge about the environmental impacts of egg production systems and identified topics requiring further research. Currently, we know that 1) high-rise cage houses generally have poorer air quality and emit more ammonia than manure belt (MB) cage houses; 2) manure removal frequency in MB houses greatly affects ammonia emissions; 3) emissions from manure storage are largely affected by storage conditions, including ventilation rate, manure moisture content, air temperature, and stacking profile; 4) more baseline data on air emissions from high-rise and MB houses are being collected in the United States to complement earlier measurements; 5) noncage houses generally have poorer air quality (ammonia and dust levels) than cage houses; 6) noncage houses tend to be colder during cold weather due to a lower stocking density than caged houses, leading to greater feed and fuel energy use; 7) hens in noncage houses are less efficient in resource (feed, energy, and land) utilization, leading to a greater carbon footprint; 8) excessive application of hen manure to cropland can lead to nutrient runoff to water bodies; 9) hen manure on open (free) range may be subject to runoff during rainfall, although quantitative data are lacking; 10) mitigation technologies exist to reduce generation and emission of noxious gases and dust; however, work is needed to evaluate their economic feasibility and optimize design; and 11) dietary modification shows promise for mitigating emissions. Further research is needed on 1) indoor air quality, barn emissions, thermal conditions, and energy use in alternative hen housing systems (1-story floor, aviary, and enriched cage systems), along with conventional housing systems under different production conditions; 2) environmental footprint for different US egg production systems through life cycle assessment; 3) practical means to mitigate air emissions from different production systems; 4) process-based models for predicting air emissions and their fate; and 5) the interactions between air quality, housing system, worker health, and animal health and welfare.


Animal Behaviour | 2005

Can domestic fowl, Gallus gallus domesticus, show self-control?

Siobhan M. Abeyesinghe; Christine J Nicol; Sj Hartnell; Christopher M. Wathes

An important aspect of cognition is whether animals live exclusively in the present or can anticipate the future. Defined as self-control, the ability to choose a large, remote reinforcer over a small, proximate reinforcer available at the same frequency has been examined in a number of species, often proving difficult to demonstrate. We investigated self-control for food in domestic fowl using a standard two-key operant task and an equivalent two-choice return maze (TCRM) task. When hens chose between a 2-s delay to a 3-s feed access (impulsive) and a 6-s delay to a 7-s feed access (self-control), they appeared unable to discriminate in the TCRM but were impulsive in the operant task. We explored reasons for not choosing self-control in the operant task, first by examining the relation between feed access time and actual feed intake. A second operant experiment examined whether failure to show self-control could be attributed to an inability to combine the delay and access (quantity) reward information associated with choices to reach overall predictions of value. New hens chose between a 2-s delay to a 3-s feed access (impulsive) and either a 22-s delay to a 22-s feed access (standard self-control) or a 6-s delay to a 22-s feed access (jackpot self-control). While hens were impulsive in the standard condition, they showed significant and pronounced self-control in the jackpot condition, eliminating the possibility of an absolute cognitive constraint. Impulsive behaviour can instead be explained by temporal discounting: perceived depreciation of reward value as a function of the uncertainty associated with delay. Implications for welfare are discussed.


Biosystems Engineering | 2003

Dynamic Data-based Modelling of Heat Production and Growth of Broiler Chickens: Development of an Integrated Management System

Jean-Marie Aerts; Christopher M. Wathes; Daniel Berckmans

An application of modern process control techniques to poultry production is outlined. Compact dynamic data-based models are proposed to describe and control the metabolic response of broiler chickens to the micro-environment. The dynamic response of heat production to step changes in air temperature and light intensity could be modelled with an average coefficient of determination RT2 of 0·83 and 0·93, respectively. Using recursive parameter estimation techniques, the time-variant response of animal growth to food supply could be predicted on-line with a maximum prediction error of 5%, 3–7 days ahead depending on the type of feeding schedule. Compact data-based models were shown to be suitable for control of broiler growth. Overall, the studies suggest that the potential conflicts between the environmental, financial and biological pressures on sustainable poultry production can be resolved through the development of integrated management systems using modern process control techniques.


Animal Science | 1996

Behavioural responses of pigs to atmospheric ammonia in a chronic choice test

J. B. Jones; L. R. Burgess; A. J. F. Webster; Christopher M. Wathes

The behaviour of two groups offour pigs in concentrations of ammonia gas that are frequently recorded in piggeries (0, 10, 20 and 40 p.p.m.), was continuously observed for 14 days each in a choice test. An octagonally shaped (annular), eight compartment preference chamber was built to house the pigs. Each compartment supplied the pigs with ample food, water and bedding material but differed in the level of atmospheric contamination. Adjacent compartments were separated by plastic curtains, allowing the pigs free access to neighbouring compartments while reducing cross-contamination of the pollutant. The position of the contamination was changed weekly to eliminate positional preferences. The location of the pigs was scan sampled every 15 min and their behaviour at this time was instantaneously recorded. A significantly greater proportion of their time was spent in the unpolluted compartments (53·4%) than in the 10 p.p.m. (26·9%), 20 p.p.m. (7·1%) or 40 p.p.m. (5·1%) compartments (P 0·05). The occupancy pattern was resumed following the rotation of the ammonia concentrations and/or following cleaning (P > 0·05). Higher concentrations of ammonia were visited less often (P = 0·005) and once there, the pigs stayed for a comparatively shorter time (P = 0·003) for approximately 35 min. As the aversion was not immediate, it is suggested that aversion was not due to the odour of ammonia initially experienced on entry. Instead the insidious aversion may be due to a sense of malaise that may develop while a pig is in a polluted atmosphere. The pigs chose to rest (P = 0·002), sit (P = 0·007), feed (P = 0·007) and forage (P = 0·013) more in the unpolluted compartments. Overall more feeding behaviour was observed in the fresh air and more food was consumed in these compartments of the chamber (P = 0·002).


British Poultry Science | 2006

Leg health and performance of broiler chickens reared in different light environments

H. H. Kristensen; G. C. Perry; N. B. Prescott; Jan Ladewig; A.K. Ersbøll; Christopher M. Wathes

1. The effects of light source and intensity on leg health and performance of female ROSS 308 broiler chickens were investigated in a 2 × 2 experimental design (8 groups of 275 chicks) of two light sources (Osram biolux and Osram warm-white) and two light intensities (5 and 100 clux, adjusted to fowl-perceived illuminance). 2. At 41 d of age, body weight, gait-score, footpad dermatitis and hock-burn were measured on 50 birds from each light environment. In addition, weekly feed intake and body weight were determined on a group basis and mortality was recorded continuously. 3. The light environment did not affect the severity of the gait-score or hock-burns. The risk of moderate to severe lameness and hock-burns increased with body weight. Birds weighing more than 2400 g had an increased probability of moderate footpad lesions in biolux light. 4. Weight and gait-score, as well as gait-score and hock-burn were positively correlated. Podo-dermatitis was weakly correlated with hock-burn, which contradicts earlier findings. The light environment did not affect feed intake, body weight or mortality. 5. The light sources and intensities employed in this study did not adversely affect production or leg health of broiler chickens reared semi-commercially.


Vision Research | 2002

Measuring and modelling the photopic flicker sensitivity of the chicken (Gallus g. domesticus).

John R. Jarvis; Nina R Taylor; N. B. Prescott; Ian Meeks; Christopher M. Wathes

The photopic flicker sensitivity of the chicken was determined using an operant conditioning psychophysical technique. The results show both high- and low-frequency fall-off in the sensitivity response, which peaked around 15 Hz. Flicker sensitivity was determined for a range of stimulus luminance levels, and directly compared to human flicker response measured under similar stimulus conditions. At five luminance levels (10, 100, 200, 500 and 1000 cd/m(2)), the overall chicken flicker sensitivity was found to be considerably lower than for humans, except at high frequencies. A greater degree of frequency tuning was also found in the chicken response. The critical flicker fusion values were either similar or slightly higher for chickens compared to humans (40.8, 50.4, 53.3, 58.2 and 57.4 Hz vs 39.2, 54.0, 54.0, 57.4 and 71.5 Hz respectively for humans and chickens for increasing stimulus luminance level). A recently proposed model for flicker sensitivity [Vision Research 39 (1999) 533], which incorporates low- and high-pass temporal filters in cascade, was found to be applicable to the chicken response. From this model, deductions were made concerning mechanisms controlling the transfer of temporal information.


Agricultural and Forest Meteorology | 2000

Thermal balance of livestock. 1. A parsimonious model

John Turnpenny; A.J Mcarthur; J.A Clark; Christopher M. Wathes

A mathematical model based on the physics of heat transfer was developed to predict the components of heat loss from a homeothermic animal in relation to environmental conditions. The animals trunk was treated as three concentric insulating cylinders around a heat-generating core, representing the body tissue, coat and surrounding environment. The model also accounted for heat losses from appendages. The model inputs were the hourly meteorological data, parameters and/or variables of animal physiology, and the thermoregulatory responses of different species to environmental conditions. The heat loss components were calculated by iteration of the heat balance equations, assuming steady heat flow. For illustration, the heat balance of a sheep outdoors is predicted from hourly weather data.


Animal Science | 2006

Modelling energy metabolism of Friesians in Kenya smallholdings shows how heat stress and energy deficit constrain milk yield and cow replacement rate

J. M. King; David J. Parsons; John Turnpenny; J. Nyangaga; P. Bakari; Christopher M. Wathes

The 2002 World Summit on Sustainable Development focussed attention on agricultural sustainability and biodiversity in developing countries. These goals are relevant for livestock production in Kenya, where development agencies encourage resource-poor smallholders to acquire large, exotic, high-yielding dairy cows, despite their poor performance, revealed in recent surveys in the highlands and at the coast. The performance of the cows is not in question. The debate relates to the diagnosis of the causes, their treatment and the prognosis for the production system. To improve our understanding of the dynamics of the system, models of nutrition and energy, modified for the tropics, were used to measure the thermal responses over 24 h of six pure or crossbred Friesians at a mean lactation of 54 (s.d. 21·6) days, in separate zero-grazing units. Four smallholdings were on the hot, humid coast and two in the cooler highlands. The output of the model runs was related to the subsequent lactation, calving interval and profitability of the cows. The model showed that the thermal load caused moderate stress for all cows during the day, which became severe in the sun in the highlands, but the drop in air temperature, from 27°C to 13°C, at night dissipated the gain in body heat. At the coast, where the night temperature remained above 24°C and relative humidity above 0-85, there was no remission of heat stress for cows with a milk yield greater than 11 Vday. The lactation curve, in all cows, declined from an initial peak to a low profile of 5 Vday. Cows in both regions with initial yields above 20 Vday had the steepest decline and longest calving intervals (457 to 662 days). They had the largest lactation yields and lowest direct cost per litre, but their poor breeding record reduced cull sales and increased replacement cost, raising the total cost per litre. By contrast, the cow with the lowest daily and lactation yield had the highest direct cost, but lowest total cost per litre, because she produced 2 heifer calves at an interval of only 317 days. These case studies serve as a reminder that, where heat load depresses appetite or poor food cannot support lactation, the energy deficit and stress reduces cow fertility, fitness, and longevity, so that she fails to breed a heifer replacement during her shortened productive life. The model predicted that food intake, depressed by heat stress, would not support a milk yield above 14 Vday and 3000 1 per annum at the coast, and 22 Vday and 5000 1 per annum in the highlands. Therefore, although appearing profitable in the short term, the current policy of promoting cows with higher yields than the climate and production system can support, is unsustainable. This outcome has implications for smallholder dairy development policy in Kenya, and probably elsewhere in the tropics. Instead, one should reconsider smaller exotic breeds and crossbreds with improved indigenous dairy cows whose overall productivity from milk yield, fecundity, longevity, and disease tolerance 50 years ago was better than that of the modern Holstein-Friesian in a Kenya smallholding.


BMC Veterinary Research | 2011

Estimation of the number and demographics of companion dogs in the UK

Lucy Asher; Emma Buckland; C Ianthi Phylactopoulos; Martin Whiting; Siobhan M. Abeyesinghe; Christopher M. Wathes

BackgroundCurrent estimates of the UK dog population vary, contain potential sources of bias and are based on expensive, large scale, public surveys. Here, we evaluate the potential of a variety of sources for estimation and monitoring of the companion dog population in the UK and associated demographic information. The sources considered were: a public survey; veterinary practices; pet insurance companies; micro-chip records; Kennel Club registrations; and the Pet Travel Scheme. The public survey and subpopulation estimates from veterinary practices, pet insurance companies and Kennel Club registrations, were combined to generate distinct estimates of the UK owned dog population using a Bayesian approach.ResultsWe estimated there are 9.4 (95% CI: 8.1-11.5) million companion dogs in the UK according to the public survey alone, which is similar to other recent estimates. The population was judged to be over-estimated by combining the public and veterinary surveys (16.4, 95% CI: 12.5-21.5 million) and under-estimated by combining the public survey and insured dog numbers (4.8, 95% CI: 3.6-6.9 million). An estimate based on combining the public survey and Kennel Club registered dogs was 7.1 (95% CI: 4.5-12.9) million. Based on Bayesian estimations, 77 (95% CI: 62-92)% of the UK dog population were registered at a veterinary practice; 42 (95% CI: 29-55)% of dogs were insured; and 29 (95% CI: 17-43)% of dogs were Kennel Club registered. Breed demographics suggested the Labrador was consistently the most popular breed registered in micro-chip records, with the Kennel Club and with J. Sainsburys PLC pet insurance. A comparison of the demographics between these sources suggested that popular working breeds were under-represented and certain toy, utility and miniature breeds were over- represented in the Kennel Club registrations. Density maps were produced from micro-chip records based on the geographical distribution of dogs.ConclusionsA list containing the breed of each insured dog was provided by J. Sainsburys PLC pet insurance without any accompanying information about the dog or owner.

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Theo Demmers

Royal Veterinary College

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N. B. Prescott

University of Bedfordshire

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Jean-Marie Aerts

Katholieke Universiteit Leuven

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Daniel Berckmans

Catholic University of Leuven

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John R. Jarvis

University of Westminster

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Rp White

University of Bedfordshire

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H. H Kristensen

Katholieke Universiteit Leuven

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