Search Results (84)

RNA-omics technologies have expanded poultry transcriptome research beyond tissue-level gene abundance. They now resolve intact transcripts, RNA chemical modifications, cellular origins, and spatial locations. This review centers on a core question: what specific, previously inaccessible RNA information does each RNA-omics technology provide? Based on their primary measurement targets, we categorize these technologies into four groups: bulk transcriptome and small RNA sequencing for analyzing gene expression and regulatory RNA networks; long-read and direct RNA sequencing for resolving transcript isoforms; epitranscriptomic methods for detecting RNA modifications; and single-cell and spatial transcriptomics for identifying the cellular origins and spatial distributions of signals. Methods for resolving RNA structure, RNA–protein interactions, and translation status (e.g., structure probing, CLIP-type mapping, and ribosome profiling) remain in their infancy in poultry, leaving translation and RNA–protein regulation largely unmeasured in tissues such as the oviduct, the lipogenic liver and nucleated erythrocytes. For each category, we discuss its direct measurement targets and primary outputs, the additional information it provides compared to established methods, representative applications in poultry, and its inherent limitations. Building on this framework, we discuss how to select and combine technologies based on specific research questions and summarize their applications in studies of production performance and product quality, reproduction, and health and resilience. Different technologies measure distinct types of RNA features and are not simply interchangeable. Future research must place greater emphasis on matching technologies to scientific questions, integrating complementary data, and improving three foundations: the annotation of poultry transcripts and non-coding RNAs, standardized analytical pipelines, and functional validation systems. Full article

One of the most important factors affecting broiler production efficiency is providing appropriate indoor microclimatic conditions, which are significantly influenced by the heating system used. This study presents the results of long-term experimental investigations conducted in two buildings equipped with different heating systems. One of the buildings was equipped with a wall heating system supported by air heaters, while the other was equipped with an underfloor heating system During the winter production cycle, the indoor air temperature in the initial period ranged from 27.2 to 33.2 °C with the underfloor heating system and from 31.9 to 40.0 °C with the conventional radiator-based system. Even greater differences were observed in floor surface temperature, which ranged from 28.0 to 31.4 °C and from 11.0 to 22.0 °C, respectively. In the building with the underfloor heating system, the relative air humidity fluctuated from 43.1% to 66.8%, while in the building without an underfloor heating system, it ranged from 20.3% to 58.6%. During the first week of the winter production cycle, the use of underfloor heating reduced broiler mortality by 77.3%. These findings provide a basis for further research on heat and moisture transfer processes and can support the development and modernization of energy-efficient heating systems in livestock buildings. The results contribute to current efforts toward the sustainable development of poultry production by improving environmental control and enhancing energy efficiency. Full article

Intensive duck production is shifting from greenhouse/curtain-sided houses toward closed, mechanically ventilated systems, yet low-carbon environmental control for moisture-dominated houses remains insufficiently synthesized. Using the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews (PRISMA-ScR) framework, this review aimed to identify low-carbon environmental-control pathways by integrating evidence on envelope design, ventilation, heat pump, and moisture management. Scopus, Web of Science, and PubMed were searched for English-language articles published during 2018–2025. Direct duck house evidence was separated from transferable poultry, livestock-building, and building-energy evidence. Synthesis shows that water access, wet litter, stocking density, and climate make houses latent-load-dominated systems, affecting relative humidity (RH), ammonia (NH₃), particulates, heat stress, welfare, and energy demand. Greenhouse-type houses have low energy use but weak environmental stability, whereas closed/windowless houses improve control and biosecurity but increase dependence on electricity, dehumidification, and backup systems. Low-carbon housing requires staged integration of moisture-source control, drainage, litter management, roof solar-load reduction, controlled ventilation, heat recovery, climate-suitable heat pumps, renewable electricity, sensor-based control, and resilience planning. Low-carbon environmental-control packages should be selected according to house type, climate, and management conditions. Future validation should report standardized energy, carbon, air quality, litter condition, welfare, productivity, cost, and outage-resilience metrics. Full article

Although livestock buildings constitute a widespread and structurally significant component of the rural landscape, they are, in most cases, characterised by construction configurations primarily driven by production requirements. Such an approach rarely results from a conscious design process capable of integrating architectural criteria with the environmental context in which these structures are embedded. Within this framework, the prevailing construction model—based on prefabricated steel systems and sandwich panels—prioritises rapid execution, standardisation, and cost efficiency, while relegating aspects such as environmental quality, material circularity, and landscape integration to a marginal role. Against this background, the present study investigates the possibility of redefining this paradigm through a technological substitution grounded in the principles of bio-based construction, technological design, and circular economy. To this end, a timber-based architectural solution for poultry houses is developed and adopted as an experimental case study to assess environmental and economic performance through an integrated methodology combining Life Cycle Assessment (LCA) and Construction Cost Analysis. The evaluation is conducted comparatively against a conventional steel-based system, maintaining consistent geometric and functional parameters, within the climatic context of the Italian Mediterranean and in accordance with EN 15978 and EN 15804+A2 standards, over a 30-year reference period. The results indicate a significant reduction in environmental impacts for the timber-based solution, with a decrease in Global Warming Potential of approximately 29%, reaching values close to 50% when accounting for biogenic carbon storage. From an economic perspective, the alternative solution entails an increase in initial costs of approximately 20%, primarily associated with the adoption of a high-performance building envelope. Overall, the study demonstrates how architectural technological design, when supported by quantitative assessment tools, can operate as an effective driver for the ecological transition of rural productive landscapes. Full article

The agricultural sector in the world and Sub-Saharan Africa faces the pressing challenge of meeting the growing food demand driven by the exponential population growth. With smallholder poultry farming playing a critical role in food and nutritional security, this systematic review synthesizes literature from the past two decades to assess the adoption of Information and Communication Technologies (ICTs) among smallholder poultry farmers in Sub-Saharan Africa (SSA). The review focuses on the benefits and barriers impacting this adoption. Following the PRISMA methodology, 19 peer-reviewed studies were analyzed to explore how ICT facilitates market participation, enhances information exchange, and improves producer livelihoods. The included studies in this review were sourced from four major academic databases: Science Direct, Web of Science, Wiley online library, and EBSCOhost. The findings reveal that ICT adoption significantly reduces information asymmetry, enables farmers to access market and production knowledge, and thus improves their profitability and inclusion in informal and formal market platforms. The review underscores the potential of targeted policy interventions and digital platforms to empower smallholder poultry farmers, enhance their commercialization, and contribute towards agricultural sustainability in the region. This study highlights the critical need for increased ICT accessibility, capacity building, and infrastructural improvements to support the digital transformation of smallholder poultry farming in Sub-Saharan Africa. Full article

Food supply veterinarians, those who service the dairy, swine, poultry, small ruminant, and beef cattle industries, benefit society by protecting animal and public health and ensuring a safe, wholesome food supply. However, there are not enough entering the workforce to meet current and future demands. Non-formal learning environments can be used as a recruitment tool to provide participants with positive interactions and hands-on experiences. To build awareness of food supply veterinary medicine (FSVM) in youth, we developed an immersion program designed to provide high school students with hands-on experiences with food animal species. Day camps were held during the summers of 2022 and 2023, each coordinated with multiple partners at different locations in central Ohio. Year One camp utilized registration and post-test surveys and Year Two utilized matching pre- and post-test for analysis. Over the two programs, 110 participants engaged in hands-on experiences, including: outbreak investigations, measuring clinical parameters, performing diagnostics, and basic veterinarian procedures. Pre- and post-test evaluations were performed to measure changes in participants’ attitudes and perceptions, and a McNemars test was used to evaluate Year Two data. In Year One, we saw positive shifts in those interested in FSVM careers. In Year Two, we saw positive shifts in knowledge of FVSM careers, with biosecurity knowledge increasing. Outreach activities like day camps can be replicated in other locations to increase interest in FSVM careers. Full article

Mycotoxins are toxic compounds produced by certain fungi, whose health effects may be significant when they contaminate fresh eggs. Conventional methods of mycotoxin analysis, while accurate, are labor-intensive, time-consuming, and impractical for large-scale screening applications. This study attempts to use using machine learning techniques to predict the concentration and presence of deoxynivalenol (DON), aflatoxin B1 (AFB1), and ochratoxin A (OTA) in fresh eggs from Jordan. Rather than replacing analytical detection methods, the proposed approach can enable a risk-based prioritization of samples for laboratory testing by identifying high-risk samples based on environmental and production factors. A dataset consisting of 1250 poultry egg samples collected between January and July 2024 under several factors involving environmental conditions and chemical assay results regarding mycotoxin content in eggs was used. Several machine learning algorithms were used in this study to build predictive models, including decision trees, support vector machines, and neural networks. The results indicate that machine learning can accurately and reliably predict mycotoxin contamination, which demonstrates the potential for integrating machine learning into food safety protocols. This study contributes toward developing predictive analytics for food safety and lays the groundwork for future research aimed at improving contamination monitoring systems. Full article

Foodborne diseases remain a persistent public health problem. Most foodborne outbreaks in Europe occur in consumers’ homes, highlighting that improvements in consumer food safety are needed and that consumers have an important role in maintaining food safety. A better understanding of consumer food safety knowledge, attitudes, and food handling practices is required to prepare effective interventions. The aim of this study was to evaluate consumer food safety knowledge, attitudes, and food handling practices in Slovenia as well as the interrelationships between knowledge, attitudes, and practices. Adult consumers in Slovenia (n = 1621) participated in a validated online questionnaire. The questionnaire included demographic characteristics and explored the aspects of knowledge, attitudes, and practices on the following topics: food related habits, food shopping and transportation, food refrigeration, food labeling, and food preparation. Data were analyzed using descriptive statistics and structural equation modeling (SEM). Overall, participants demonstrated good levels of knowledge, attitudes, and practice. However, some of the areas that require improvement include use of cooling bags, measuring and knowing the correct refrigerator temperature and not washing raw meat and poultry. SEM analysis revealed that knowledge affects attitudes and, in most cases, both knowledge and attitudes affect practices. Enhanced communication strategies targeting consumers are needed to reduce the risk of foodborne illnesses. Educational campaigns need to focus on all three aspects: knowledge, attitudes, and practices. Building a culture of consumer food safety is essential because consumer food safety truly is everyone’s business. Full article

Reliable individual detection under dense and cluttered conditions is a prerequisite for automated monitoring in modern poultry systems. We propose CF-DETR, an end-to-end detector that builds on RT-DETR and is tailored to chicken face detection in production-like environments. CF-DETR advances three technical directions: Dynamic Inception Depthwise Convolution (DIDC) expands directional and multi-scale receptive fields while remaining lightweight, Polar Embedded Multi-Scale Encoder (PEMD) restores global context and fuses multi-scale information to compensate for lost high-frequency details, and a Matchability Aware Loss (MAL) aligns predicted confidence with localization quality to accelerate convergence and improve discrimination. On a comprehensive broiler dataset, CF-DETR achieves a mean average precision at IoU 0.50 of 96.9% and a mean average precision (IoU 0.50–0.95) of 62.8%. Compared to the RT-DETR baseline, CF-DETR reduces trainable parameters by 33.2% and lowers FLOPs by 23.0% while achieving 81.4 frames per second. Ablation studies confirm that each module contributes to performance gains and that the combined design materially enhances robustness to occlusion and background clutter. Owing to its lightweight design, CF-DETR is well-suited for deployment in real-time smart farming monitoring systems. These results indicate that CF-DETR delivers an improved trade-off between detection performance and computational cost for real-time visual monitoring in intensive poultry production. Full article

Abdominal fat is a key indicator of chicken meat quality. Excessive deposition not only reduces meat quality but also decreases feed conversion efficiency, making the breeding of low-abdominal-fat strains economically important. Genomic selection (GS) uses information from genome-wide association studies (GWASs) and high-throughput sequencing data. It estimates genomic breeding values (GEBVs) from genotypes, which enables early and precise selection. Given that abdominal fat is a polygenic trait controlled by numerous small-effect loci, this study combined population genetic analyses with machine learning (ML)-based feature selection. Relevant single-nucleotide polymorphisms (SNPs) were first identified using a combined GWAS and linkage disequilibrium (LD) approach, followed by a two-stage feature selection process—Lasso for dimensionality reduction and recursive feature elimination (RFE) for refinement—to generate the model input set. We evaluated multiple machine learning models for predicting genomic estimated breeding values (GEBVs). The results showed that linear models and certain nonlinear models achieved higher accuracy and were well suited as base learners for ensemble methods. Building on these findings, we developed a Dynamic Adaptive Weighted Stacking Ensemble Learning Framework (DAWSELF), which applies dynamic weighting and voting to heterogeneous base learners and integrates them layer by layer, with Ridge serving as the meta-learner. In three independent validation populations, DAWSELF consistently outperformed individual models and conventional stacking frameworks in prediction accuracy. This work establishes an efficient GEBV prediction framework for complex traits such as chicken abdominal fat and provides a reusable SNP feature selection strategy, offering practical value for enhancing the precision of poultry breeding and improving product quality. Full article

In Algeria, with the expansion of intensive poultry farming, assessing animal welfare has become increasingly important. Our study evaluated the welfare of broiler chickens at the Tazoult poultry center using indicators from the Welfare Quality^® project. In total, 1000 chickens were randomly selected and examined during the final week of rearing. The results indicate that pododermatitis scores were mainly distributed between scores 0, 1, and 2 (46.4%, 20%, and 32.2%, respectively). Hock burns were observed with scores of 0 and 1 (49.1% and 49.5%, respectively). However, scores of 1 and 2 were common across all ten buildings for feather condition and lameness. While the overall welfare indicators were generally acceptable, there is a need for improved rearing conditions to address the variations seen between different buildings. Full article

The identification and prediction of losses, along with environmental and behavioral analyses and animal welfare monitoring, are key drivers for the use of technologies in poultry farming which help characterize the productive environment. Among these technologies, robotics emerges as a facilitator as it provides space for the use of several computing tools for capture, analysis and prediction. This study presents the full methodology for building a robot (so called RobôFrango) to its application in poultry farming. The construction method was based on evolutionary prototyping that allowed knowing and testing each physical component (electronic and mechanical) for assembling the robotic structure. This approach made it possible to identify the most suitable components for the broiler production system. The results presented motors, wheels, chassis, batteries and sensors that proved to be the most adaptable to the adversities existing in poultry farms. Validation of the final constructed structure was carried out through practical execution of the robot, seeking to understand how each component behaved in a commercial broiler aviary. It was concluded that it was possible to identify the best electronic and physical equipment for building a robotic prototype to work in poultry farms, and that a final product was generated. Full article

For the first time, the numerous scattered data on birds (wild and domestic) have been collected based on their medieval bone remains discovered on the modern territory of the Republic of Bulgaria. The collected information is about a total of 37 medieval settlements from the time of the First and Second Bulgarian Empires. Among the settlements studied are both the two medieval Bulgarian capitals (Pliska and Veliki Preslav), as well as other cities, smaller settlements, military fortresses, monasteries, and inhabited caves. The data refer to a total of 48 species of wild birds and 6 forms of domestic birds of 11 avian orders: Accipitriformes, Anseriformes, Ciconiiformes, Columbiformes, Falconiformes, Galliformes, Gruiformes, Otidiformes, Passeriformes, Pelecaniformes, and Strigiformes. The established composition of wild birds amounts to over one tenth (to 11.5%) of the modern avifauna in the country. Five of the established species (10.4%) have disappeared from the modern nesting avifauna of the country—the bearded vulture, the great bustard, the little bustard, the gray crane, and the saker falcon (the latter two species have reappeared as nesters in the past few years). First Bulgarian Empire (681–1018): Investigated settlements—22. Period covered—five centuries (7th to 11th c.). Found in total: at least 44 species/forms of birds, of which 39 species of wild birds and 5 forms of poultry. Second Bulgarian Empire (1185–1396): Investigated settlements—15. Period covered—3 centuries (12th to 14th c.). Found in total: at least 39 species/forms of birds, of which 33 species of wild birds and 6 forms of poultry. The groups of raptors, water, woodland, openland, synanthropic and domestic birds were analyzed separately. The conclusion was made that during the two periods of the Middle Ages, birds had an important role in the material and spiritual life of the population of the Bulgarian lands. Birds were mainly used for food (domestic birds), although some were objects of hunting. No traces of processing were found on the bones. Birds were subjects of works of applied and monumental art. Their images decorated jewelry, tableware, walls of buildings and other structures. Full article

Infectious bursal disease (IBD) is a viral disease that most commonly affects young chickens and destroys lymphocytes, leading to immunosuppression. The field study aimed to investigate the effect of three different vaccines administered in ovo against IBD and spray against Newcastle disease (ND) on serological response tested for IBD and ND and histopathological analysis of the bursa of Fabricius (BF) and quantitative B lymphocytes in BF in broiler chickens. The study was conducted on a farm of four hen houses with 30,000 chicks in each building. Three different vaccination programs were used in the poultry hatchery, and one hen house IV was not vaccinated. All three groups were vaccinated at 18 days and 9 h in ovo during egg transfer against IBD at a dose of 0.05 mL/embryo, group I vector vaccine (strain vHVT013-69), group II immunocomplex vaccine (strain Winterfield 2512), group III immunocomplex vaccine (strain M.B, 0.05). Then, after hatching, the chicks were vaccinated in a spray (groups I, II, and III) against NDV (strain VG/GA, 20 mL/100 birds) and infectious bronchitis (IBV) in a spray (strain H-120, serotype Mass, and strain CR88121, serotype 793B) at a dose of 20 mL/100 chicks. On days 1, 21, 31, and 41, blood was collected for serological tests to determine the antibody titer against IBD, which was performed using two tests (IDEXX and ID-Vet) and against ND. During the necropsy of birds on days 21 and 31, the bursae of Fabricius were collected from five chickens for histopathological evaluation of BF and quantitative B lymphocyte counts; a total of 40 bursae were analyzed (10 per group). The vaccination program applied significantly (p < 0.05) affected the immune response expressed as a geometric mean titer (GMT) in the serum of the examined chickens against IBDV on days 21, 31, and 41. Differences were also demonstrated in the mass and level of BF damage and the number of B lymphocytes. No significant differences were demonstrated in the GMT in the serum of the examined chickens against NDV depending on the vaccination program applied. Full article

Livestock buildings in rural areas are increasingly recognized for their environmental impact, yet few studies provide applied, scenario-based evaluations to guide retrofit interventions. While the existing literature acknowledges the environmental burden of livestock facilities, it often lacks operationally grounded analyses applicable to real-world agricultural contexts. This paper proposes an original integration of experimental climatic monitoring and life cycle assessment (LCA) to evaluate retrofit scenarios for energy efficiency in real poultry farming contexts. Based on an accurate climatic monitoring campaign conducted on-site during the spring and summer periods, relevant data were collected on air temperature, humidity, wind speed, and solar radiation affecting two poultry tunnels in central Italy, highlighting the need for thermal mitigation. The comparison between the observed operational scenario and the hypothesized improved scenario, involving energy supply from photovoltaic sources, evaluated using the PVGIS tool, demonstrated a significant reduction in environmental impact, with a 33.4% decrease in global warming potential and a 26.1% reduction in energy consumption. This study combines experimental on-site climatic data collection with comparative environmental evaluation using LCA methodology. The LCA approach, which guided the entire study, highlighted how the energy efficiency gained through solar panels adequately offsets their production and maintenance costs over the long term. These findings offer a replicable model for energy retrofits in rural livestock facilities, contributing to both environmental goals and rural resilience. Full article