Hens Housed Research Articles

Development of a Light Intensity Monitoring System in Broiler Chicken Coops Based on Arduino IoT Cloud

Development of a Light Intensity Monitoring System in Broiler Chicken Coops Based on Arduino IoT Cloud

Regional variation in the landscape ecology of West Nile virus sentinel chicken seroconversion in Florida.

How landscape composition and configuration impact the distribution of multi-vector and multi-host mosquito vector-borne disease systems, such as West Nile virus (WNV), remains challenging because of complex habitat and resource requirements by hosts and vectors that affect transmission opportunities. We examined correlations between landscape composition and configuration and 2018 WNV sentinel chicken seroconversion in Florida, USA across the state and within five National Oceanic Atmospheric Administration (NOAA) bioclimatic regions to understand strength and variation of landscape effects during an elevated transmission year. Although few landscape studies have examined WNV in Florida, we expected higher percentages of residential or medium-developed landscapes and more fragmented landscapes would be positively correlated with WNV seroconversion owing to the main mosquito vector habitats and avian host distributions. However, we expected to find variation in the importance of forest, wetland, and agriculture landscapes across bioclimatic regions in the state. WNV seroconversion rates were calculated using Florida 2018 Department of Health WNV sentinel chicken seroconversion data from 187 flocks maintained by mosquito control programs. Percent land cover and edge density metrics were calculated for multiple land cover classes and within multiple buffer distances from chicken coops using 2019 National Land Cover Data. We used binomial generalized linear mixed effects models to calculate the importance of landscape metrics to WNV seroconversion. We found no statewide predictors of seroconversion, but as expected, the importance of landscape varied across regions. In the north-central part of the state, we found higher seroconversion in less populated suburban areas while higher seroconversion in south-central Florida was correlated with fragmented forested areas within 0.5 km of coops and intact woody wetland areas within 2 km of coops. This work corroborates previous findings that consistent landscape predictors of WNV are difficult to identify across broader geographic areas and sets the stage for additional work that incorporates climate and landscapes interactions for a greater understanding of WNV ecology in this geographic region.

Seasonal Variability of Particulate Matter and Ammonia Emissions in a Laying Hen House in Korea

Seasonal Variability of Particulate Matter and Ammonia Emissions in a Laying Hen House in Korea

Provisioning and the marketing of eggs with Abéché in the East of Chad

The objective of this study is to know the provisioning and the marketing of eggs for consumption in the town of Abéché. The study was undertaken by socio-economic investigation in two markets of the city for one month (month of May 2019) near ninety-five (95) commercial of eggs. The collected data related to the matrimonial situation, and level of study of the tradesmen, the kinds and the religion, and the various categories (wholesalers, wholesaler-retailers, retailers, and peddlers), the provisioning and marketing of eggs. The results show that mainly the men practice the marketing of eggs. The majority of the surveyed tradesmen were married, and a small percentage of those constituted the whole of the single people. Half of eggs marketed in the town of Abéché come from Sudan, follow-up of Cameroun and a small proportion produced locally in Chad. The average of the sale of eggs is higher in the wholesalers 1300 ± 170.83, followed wholesalers retailers 284 ± 60.28 and one weak average observes in the peddler and detailing respectively 98 ± 60.28 and 97 ± 89.79. The production of eggs for consumption is very weak in Chad and in particular in the town of Abéché, this weak production results in the importation of eggs of the adjoining country. The control of this distribution chain proves to be necessary for the establishment of the hen houses in the town of Abéché.

Bacterial and fungal aerosols in poultry houses: PM2.5 metagenomics via single-molecule real-time sequencing

Microbial aerosol contamination is a common problem in poultry farms, posing potential health risks to poultry and their caretakers. Exploring the distribution and diversity of the microbial community in poultry farm aerosols is crucial for effective mitigation strategies. The composition of bacterial and fungal aerosols is poorly understood, particularly the prevalence of potential pathogenic microorganisms in fine particulate matter (PM2.5) in various types of poultry houses. In this study, 27 PM2.5 samples were collected from 5 chicken houses and 4 duck houses in Shandong Province, China. Species-level diversity of bacterial and fungal components in PM2.5 samples was determined using advanced single-molecule real-time sequencing (SMRT) technology, based on the 16S and internal transcribed spacer 1 (ITS) ribosomal genes. Microbial diversity and community composition varied significantly across the different poultry house. Notably, duck houses had higher concentrations (p < 0.01) of PM2.5 (92.8-143.1 μg/m3) than chicken houses (42.0-56.4 μg/m3). Furthermore, microbial variation in PM2.5 samples was associated with the type of poultry facility. The predominant pathogenic microorganisms included Aspergillus sydowii, Penicillium sp., Aspergillus insolitus, Cladosporium sp., Aspergillus sp., Aspergillus pseudoglaucus, Cladosporium sp. C4092-2-PD1, and Colletotrichum sp., all of which were classified as second category of pathogens. Aspergillus sydowii and Penicillium sp. were the dominant species in chicken houses, while Cladosporium sp., Aspergillus sp., and Aspergillus pseudoglaucus were the dominant species identified in duck houses. To our knowledge, this study is the first to investigate bacterial and fungal diversity in PM2.5 samples collected from various types of poultry houses. These findings advance our understanding of poultry environmental microbiology and have important implications for safeguarding the health of both poultry and their caretakers.

CFD Investigation on Combined Ventilation System for Multilayer-Caged-Laying Hen Houses.

Mechanical ventilation is an important means of environmental control in multitier laying hen cages. The mainstream ventilation mode currently in use, negative-pressure ventilation (NPV), has the drawbacks of a large temperature difference before and after adjustment and uneven air velocity distribution. To solve these problems, this study designed and analyzed a combined positive and negative-pressure ventilation system for laying hen cages. According to the principle of the conservation of mass to increase the inlet flow in the negative-pressure ventilation system on the basis of the addition of the pressure-wind body-built positive-and-negative-pressure-combined ventilation (PNCV) system, further, computational fluid dynamics (CFD) simulation was performed to analyze the distribution of environmental parameters in the chicken cage zone (CZ) with inlet angles of positive-pressure fans set at 45°, 90°, and 30°. Simulation results showed that the PNCV system increased the average air velocity in the CZ from 0.94 m/s to 1.04 m/s, 1.28 m/s, and 0.99 m/s by actively blowing air into the cage. The maximum temperature difference in the CZ with the PNCV system was 2.91 °C, 1.80 °C, and 3.78 °C, which were all lower than 4.46 °C, the maximum temperature difference in the CZ with the NPV system. Moreover, the relative humidity remained below 80% for the PNCV system and between 80% and 85% for the NPV system. Compared with the NPV system, the PNCV system increased the vertical airflow movement, causing significant cooling and dehumidifying effects. Hence, the proposed system provides an effective new ventilation mode for achieving efficient and accurate environmental control in laying hen cages.

Sustainable Growth through Thai Native Chicken Farming: Lessons from Rural Communities

Thai native chickens hold significant value in rural communities due to their adaptability and suitability for local rearing conditions. However, there are challenges in the commercial raising of these chickens. This study aimed to evaluate and promote the potential of Thai native chickens (Pradu Hang Dum) for commercial purposes and the development of sustainable native chicken farming. Out of 110 interested farmers, 88 met preliminary conditions and 62 were well-prepared and willing to comply with project conditions. Some farmers were disqualified for not understanding the project conditions or having inadequately prepared chicken coops. The survival rate of native chickens provided to farmers through the project was 52%. Among the surviving birds, 40% were male and 60% were female. The most common causes of death in the project were sickness, accidents, and fighting. The average body weights and average daily gains at different ages were significantly different among farm groups. The average egg production per hatch per hen was 13 ± 2.4 eggs. The highest egg production was in the good farms compared to moderate and poor farms. Better farm management led to higher egg production. In conclusion, this study demonstrates that effective farm management significantly enhances the productivity of Thai native chickens, highlighting their potential as an income-generating activity for rural communities. While challenges such as sickness and accidents impact survival rates, the findings suggest that improved management practices can lead to better production outcomes.

Chagasic megacolon: First report and management in a case from the 24 de Mayo canton, Manabí province, Ecuador

Introduction: Chagas disease is a disease belonging to the group of Neglected Tropical Diseases. The vector is Trypanosoma cruzi. In this context, Chagas megacolon constitutes an underdiagnosed condition in favor of Chagas heart disease. Case report: Consequently, a clinical case is presented in an 80-year-old male patient. The set of clinical parameters such as chronic constipation, fecaloma; Megacolon imaging and serological results of specific antibodies against Trypanosoma cruzi led to the diagnosis of Chagasic megacolon, with surgical intervention on three occasions for correction and treatment. Discussion: Prevention through vector control is essential in the fight against this disease. The main strategies should focus on the construction of decent homes, free of domestic animals inside, such as chicken coops, pigeon coops, hutches, caves, nests and other shelters for animals, where the vector could proliferate.Conclusion: It is the first report of Chagas megacolon in the province of Manabí. The need to promote greater clinical, epidemiological and comprehensive psychological care is highlighted for its prevention, diagnosis and treatment.

Surface charge change of inceptisol ameliorated with closed house chicken coop waste compost

Surface charge change of inceptisol ameliorated with closed house chicken coop waste compost

Visual Navigation of Caged Chicken Coop Inspection Robot Based on Road Features.

The speed and accuracy of navigation road extraction and driving stability affect the inspection accuracy of cage chicken coop inspection robots. In this paper, a new grayscale factor (4B-3R-2G) was proposed to achieve fast and accurate road extraction, and a navigation line fitting algorithm based on the road boundary features was proposed to improve the stability of the algorithm. The proposed grayscale factor achieved 92.918% segmentation accuracy, and the speed was six times faster than the deep learning model. The experimental results showed that at the speed of 0.348 m/s, the maximum deviation of the visual navigation was 4 cm, the average deviation was 1.561 cm, the maximum acceleration was 1.122 m/s2, and the average acceleration was 0.292 m/s2, with the detection number and accuracy increased by 21.125% and 1.228%, respectively. Compared with inertial navigation, visual navigation can significantly improve the navigation accuracy and stability of the inspection robot and lead to better inspection effects. The visual navigation system proposed in this paper has better driving stability, higher inspection efficiency, better inspection effect, and lower operating costs, which is of great significance to promote the automation process of large-scale cage chicken breeding and realize rapid and accurate monitoring.

The Effect of Phytogenic Additive in Broiler's Diet on Production Results, Physicochemical Parameters, and the Composition of Volatile Organic Compounds of Broiler Meat Assessed by an Electronic Nose System.

The primary objective of this study was to investigate the impact of a phytogenic additive (PA) in broiler chickens' diet on production, physiochemical parameters, and the profile of volatile organic compounds present in broiler chickens' meat. The experiment was conducted in a commercial chicken house, where Ross 308 broiler chickens were divided into two groups, each consisting of 65,000 broilers. One group was fed a diet supplemented with 100 ppm of PA throughout the rearing period. The primary chemical composition of the meat and its physicochemical parameters were determined. A visual assessment of breast muscles for defects and volatile organic compounds were evaluated using an electronic nose system. No statistically significant differences were shown in the production performance of the chickens; while summarizing all production parameters, a higher EPEF index of 31 points in the experimental group was highlighted. Breast muscle quality showed differences in drip loss and WHC (p ≤ 0.01) in favor of the experimental group, and a lower cutting force value (p ≤ 0.05) was found for breast muscles from the experimental group. The group also had a lower proportion of muscles with a white striping defect, and the results of volatile organic compound profiling showed the most aroma units.

Indoor Concentration Distributions of Ammonia and Sulfur-Based Odorous Substances According to Types of Laying Hen Houses in South Korea

Indoor Concentration Distributions of Ammonia and Sulfur-Based Odorous Substances According to Types of Laying Hen Houses in South Korea

Distribution and seasonal fluctuation of visceral leishmaniasis vectors sandflie in Lüliang City of Shanxi Province in 2023

To investigate the distribution and seasonal fluctuations of visceral leishmaniasis vectors sandflies in Lüliang City, Shanxi Province, so as to provide insights into assessment of the visceral leishmaniasis transmission risk and formulation of visceral leishmaniasis control measures. A total of 12 natural villages were sampled from Shilou County, Lishi District, Lanxian County, Linxian County and Wenshui County in Lüliang City, Shanxi Province from June to September, 2023, and sandflies were captured using light traps from 7 breeding habitats, including farmers' houses, sheep pens, cattle pens, chicken coops, pig pens, mule and horse pens, and loess-cave dwellings. Following morphological identification of the sandfly species, the distribution of sandflies and the seasonal fluctuations of the sandfly density were analyzed. In addition, the Leishmania was detected in sandflies using a real-time fluorescence quantitative PCR assay. A total of 2 831 sandflies were captured with 156 light traps in Lüliang City from June to September, 2023, including 2 638 female sandflies (93.18%) and 193 male sandflies (6.82%), and the average density was 16.91 sandflies/(light-night). The seasonal fluctuations of the sandfly density all appeared a unimodal distribution in all survey sites, and the sandfly density peaked in July and then declined rapidly. Among all types of breeding habitats, the greatest sandfly density was found in sheep pens [39.04 sandflies/(light-night)]. In addition, 4.08% (2/49) of the sandfly samples were tested positive for Leishmania nucleic acid as revealed by the real-time fluorescence quantitative PCR assay. Sandflies were widely distributed in Lüliang City, Shanxi Province in 2023, and the peak of the sandfly density was observed in July, which had a visceral leishmaniasis transmission risk. Intensified surveillance of visceral leishmaniasis and sandfly vectors is required and targeted vector control is recommended.

Providing ramps during lay has larger impacts on laying hens than ramps at rearing

Commercial laying hen housing is shifting from traditional cages to non-cage housing systems, such as the aviary, which has gained popularity due to potential for more species-typical behavior. However, birds housed in aviaries may have difficulties moving through the vertical tiers of the system leading to health problems such as keel bone fracture (KBF). One possible way to improve movement is to add ramps into an aviary system, allowing hens to walk between tiers rather than jump or fly. The objective of this study was to evaluate the impact of adding ramps to rearing and laying aviaries on bird health, production, and movement across vertical tiers of the aviary. Lohmann Selected Leghorn pullets were raised in 2 treatments: 4 pens (600 birds/pen) were raised with wire mesh ramps to aid movement between aviary tiers (RR) and 4 pens (600 birds/pen) were raised without ramps (RO). At 17 wk of age (WOA), birds were moved to the laying facility, in which 16 aviary pens with 225 birds/pen were populated. Half the pens (n = 8) were supplemented with wire mesh ramps (LR) and the other half were not (LO). Within each laying treatment group, 4 pens were populated with RR hens and 4 pens were populated with RO hens, creating 4 treatment combinations (RRLR, RRLO, ROLR, ROLO). From each pen, 15 focal hens were selected for radiographic imaging of their keel bones taken at 21, 36, 45, and 60 WOA and the images were subsequently scored for KBF severity. Focal hens were also scored for feather condition and footpad quality at 36 and 60 WOA using a standardized welfare assessment protocol. The number of downward transitions among aviary areas and falls were recorded at 19 to 20 and 30 to 31 WOA. Data were analyzed using (generalized) linear mixed models in R software. When ramps were available, they were used in most of the observed downward transitions (79% in ROLR and 86% in RRLR). Hens who received ramps in lay (i.e., RRLR and ROLR) showed more transitions immediately after lights on compared to midday or dusk phases (p < 0.001), performed more transitions from the first aviary tier compared to nest or top tier (p = 0.013) and had lower KBF severity than those who did not receive ramps in the laying aviaries (ROLO, RRLO; p < 0.001). At 60 WOA, hens in the RRLR treatment had greater feather coverage than those in ROLR and RRLO treatments (p < 0.001). Birds in the RRLR treatment had better foot health overall than those in treatments without ramps in lay (p = 0.018). Providing ramps to hens in aviaries appeared to be the preferred means of transitioning between aviary tiers though had positive effects on welfare parameters such as food health, feather coverage, and KBF severity, without negative impacts on production. Benefits were seen primarily when ramps were provided in lay, though their installation in rearing provided evidence of easier adaptation to the laying barn. Our study supports providing ramps throughout the lifetime of the bird to accommodate hens' preferred means of moving vertically in aviaries and deliver consequent benefits to health and welfare.

Temporal variation characteristics of microbial aerosols in the goose house environment

ABSTRACT 1. Preventing disease is important in poultry production systems, but this has mainly been studied in chickens. The aim of this study is to explore the impact of microbial aerosols in intensive goose house environments. 2. To evaluate the environmental quality of geese housing, fine particulate matter (PM2.5) was collected using an ambient air particulate matter sampler. High-throughput sequencing was used to analyse bacterial diversity and relative abundance. Results showed that the number of general and operational taxonomic units (OTUs) were 1,578 and 19 112 in all PM2.5 samples. Firmicutes, Bacteroidota, Proteobacteria, Acidobacterota were the four most abundant phyla in PM2.5. 3. Compared with bacterial phyla in the PM2.5 from chicken houses, those in the genus Acidobacterota were increased in goose housing. There are various genera of bacteria present in PM2.5, and their composition was similar across different samples. No significant change was observed in the diversity of microbiota in the PM2.5, although multiple pathogenic bacteria were detected. 4. A prediction function showed that a variety of bacterial phyla correlated positively with the human diseases. 5. In summary, the microbial aerosols in the goose shed pose significant risks to the health of the geese. Regular monitoring of the composition of microbial aerosols is important for the healthy growth of geese and disease prevention and control.

Molecular characterizations of Cryptosporidium spp. in brown rat (Rattus norvegicus) from an animal feedlot in Xinjiang, China.

Cryptosporidium infection is a common occurrence in rodents worldwide. In this study, 435 wild brown rats were captured from an animal feedlot in Xinjiang, China, with a fecal sample obtained directly from the rectal contents of each rat. The DNA extracted from these fecal samples was analyzed for Cryptosporidium spp. using PCR targeting the SSU rRNA gene. The prevalence of Cryptosporidium infection in brown rats was found to be 5.5% (24 out of 435). Interestingly, the infection rates varied among different animal enclosures, with rates of 0% in the chicken coop (0/51), cowshed (0/3), and varying rates in other areas including the sheepfold (6.1%, 6/98), the pigsty (7.6%, 10/132), the dovecote (7.0%, 5/71), and outdoor environments (3.8%, 3/80). The study identified three species and one genotype of Cryptosporidium, namely C. occultus (n = 10), C. parvum (n = 4), C. ditrichi (n = 1), and Cryptosporidium rat genotype IV (n = 9). Additionally, two of the C. parvum isolates were successfully subtyped as IIdA19G1 (n = 2) at the gp60 gene. These results offer valuable insights into the prevalence and genetic diversity of Cryptosporidium in brown rats within the region.

Risk of invasive waterfowl interaction with poultry production: Understanding potential for avian pathogen transmission via species distribution models.

Recent outbreaks of highly pathogenic avian influenza have devastated poultry production across the United States, with more than 77 million birds culled in 2022-2024 alone. Wild waterfowl, including various invasive species, host numerous pathogens, including highly pathogenic avian influenza virus (HPAIV), and have been implicated as catalysts of disease outbreaks among native fauna and domestic birds. In major poultry-producing states like Arkansas, USA, where the poultry sector is responsible for significant economic activity (>$4 billion USD in 2022), understanding the risk of invasive waterfowl interactions with domestic poultry is critical. Here, we assessed the risk of invasive waterfowl-poultry interaction in Arkansas by comparing the density of poultry production sites (chicken houses) to areas of high habitat suitability for two invasive waterfowl species, (Egyptian Goose [Alopochen aegyptiaca] and Mute Swan [Cygnus olor]), known to host significant pathogens, including avian influenza viruses. The percentage of urban land cover was the most important habitat characteristic for both invasive waterfowl species. At the 95% confidence interval, chicken house densities in areas highly suitable for both species (Egyptian Goose = 0.91 ± 0.11 chicken houses/km2; Mute Swan = 0.61 ± 0.03 chicken houses/km2) were three to five times higher than chicken house densities across the state (0.17 ± 0.01 chicken houses/km2). We show that northwestern and western Arkansas, both areas of high importance for poultry production, are also at high risk of invasive waterfowl presence. Our results suggest that targeted monitoring efforts for waterfowl-poultry contact in these areas could help mitigate the risk of avian pathogen exposure in Arkansas and similar regions with high poultry production.

8. Ammonia emission factors for broiler and laying hen housing

8. Ammonia emission factors for broiler and laying hen housing

Design of Temperature Monitoring and Control System in Smart Hen Coop Based on Internet of Things

Every temperature error detected by the system would be notified to users by the Blynk application, and the system would attempt to stabilize the temperature in hen coop with a lamp and fan. Notification from the Blynk application is set to stop until the temperature returns to an ideal. The Blynk application is equipped with a reset button to reset the chicken age counter. This system used temperature and humidity sensors DHT22 to sense the temperature, which the data from the sensor output read by Arduino Uno. The data that Arduino Uno reads is sent to NodeMCU. Afterward, NodeMCU sent the data to the Blynk server; therefore, the Blynk application displayed the temperature and humidity data on the Blynk dashboard. This system is expected to facilitate users/breeders in monitoring the temperature in the hen coop. Therefore, users/breeders do not need to worry about chickens dying due to heat or cold stress. The waterfall method is used in this design of the system. This system was tested in a 70 x 70 x 130 cm sized hen coop and entirely tested the system each minute for 35 minutes.

Smart Control and Monitoring System for Closed Poultry House based on IoT

The application of technology in the livestock sector has been carried out to increase the productivity of the livestock business. Closed chicken coops are one of the applications of technology in the livestock sector by utilizing a microcontroller that can control the temperature and ammonia levels in the coop under optimal conditions for fattening chickens. When the temperature rises (hot), the system set on the microcontroller will make the fan turn on automatically. This study aims to improve the offline and semi-manual fan control system in closed chicken coops to become automatic. By utilizing Internet of Things (IoT)-based technology, monitoring the condition of the chicken coop can be more easily accessed remotely. The method uses the if-then rule to regulate fan performance based on variable temperature and ammonia levels. The fan work set-point value can be set through the Android application online. Based on the test results, the IoT system treatment can work well. A consumer satisfaction survey was conducted on breeders with satisfactory results to ensure their feasibility as a commercial product.