Search Results (66)

The recent surge in the popularity of brachycephalic dog breeds has raised concerns about their predisposition to serious health issues linked to breed-specific morphological traits. This study examined the demographic characteristics, motivations, and awareness of owners regarding welfare issues in four brachycephalic breeds (French Bulldogs, Bulldogs, Pugs, Boston Terriers). Methods: A total of 497 owners of brachycephalic dogs examined over six years at an Italian university veterinary hospital were considered; a subset of 75 owners completed a structured questionnaire. Based on responses to a key multiple-choice question about the main reason for breed choice, owners were classified into three groups: trend-driven (aesthetics/fashion), value-oriented (intelligence/behavior), and indeterminate. Results: Gender distribution did not differ significantly compared to the overall population, but brachycephalic owners were significantly younger (p < 0.001). Value-oriented owners were significantly more likely (p < 0.01) to consult a veterinarian before acquisition and showed better understanding of typical respiratory issues, which did not affect their purchasing decision. Trend-driven owners were more influenced by public figures (p < 0.05) and less engaged in preventive care. Conclusion: Our findings highlight the need for pre-acquisition veterinary counseling. Veterinarians can also assist breeders by promoting awareness of the ethical risks of selecting extreme traits in dogs. Full article

The growing recognition of animal sentience has led to notable progress in European Union animal welfare legislation. However, a significant inconsistency remains: while mammals, birds, and cephalopods are legally protected as sentient beings, honeybees (Apis mellifera)—despite robust scientific evidence of their cognitive, emotional, and sensory complexity—are excluded from such protections. This manuscript examines, from an interdisciplinary perspective, the divergence between emerging evidence on invertebrate sentience and current EU legal frameworks. Honeybees and cephalopods serve as comparative case studies to assess inconsistencies in the criteria for legal recognition of sentience. Findings increasingly confirm that honeybees exhibit advanced cognitive functions, emotional states, and behavioral flexibility comparable to those of legally protected vertebrates. Their omission from welfare legislation lacks scientific justification and raises ethical and ecological concerns, especially given their central role in pollination and ecosystem stability. In general, we advocate for the inclusion of Apis mellifera in EU animal welfare policy. However, we are aware that there are also critical views on their introduction, which we address in a dedicated paragraph of the manuscript. For this reason, we advocate a gradual and evidence-based approach, guided by a permanent observatory, which could ensure that legislation evolves in parallel with scientific understanding, promoting ethical consistency, sustainable agriculture, and integrated health under the One Health framework. This approach would meet the concerns of consumers who consider well-being and respect for the environment as essential principles of breeding, and who carefully choose products from animals raised with systems that respect welfare, with indisputable economic advantages for the beekeeper. Full article

This article highlights the importance of evaluating the morphological characteristics of female dogs during breeding soundness examinations (BSEs) to assess their reproductive potential and ensure the health of future offspring. Key traits considered in this evaluation include body type, body condition score, skull size and shape, mammary gland conformation, and coat quality. Each of these factors plays a significant role in the health and fertility of breeding females. For example, deviations from breed standards in body size can lead to complications during pregnancy and whelping, while an inappropriate body condition score may disrupt hormonal balance and reproductive cycles. This review also addresses concerns related to brachycephalic breeds, whose conformation can contribute to respiratory and reproductive issues. Additionally, assessing vertebral and pelvic conformation is crucial to prevent dystocia and other complications during delivery. By systematically evaluating these morphological traits, veterinarians can promote ethical breeding practices that prioritize the welfare and genetic health of both breeding females and their puppies. Therefore, integrating comprehensive morphological evaluations into BSEs is essential for responsible dog breeding management, ultimately supporting better reproductive outcomes and healthier future generations. Full article

The escalating impacts of climate change pose significant threats to global agriculture, necessitating a rapid development of climate-resilient crop varieties. The integration of multi-omics technologies—such as genomics, transcriptomics, proteomics, metabolomics, and phenomics—has revolutionized our understanding of the intricate molecular networks that govern plant stress responses. Coupled with advanced predictive modeling approaches such as machine learning, deep learning, and multi-omics-assisted genomic selection, these integrated frameworks enable accurate genotype-to-phenotype predictions that accelerate breeding for augmented stress tolerance. This review comprehensively synthesizes the current strategies for multi-omics data integration, highlighting computational tools, conceptual frameworks, and challenges in harmonizing heterogeneous datasets. We examine the contribution of digital phenotyping platforms and environmental data in dissecting genotype-by-environment interactions critical for climate adaptation resilience. Further, we discuss technical, biological, and ethical challenges, encompassing computational bottlenecks, trait complexity, data standardization, and equitable data sharing. Finally, we outline future directions that prioritize scalable infrastructures, interpretability, and collaborative platforms to facilitate the deployment of multi-omics-guided breeding in diverse agroecological contexts. This integrative approach possesses transformative potential for the development of resilient crops, ensuring agricultural sustainability amidst increasing environmental volatility. Full article

Heat stress (HS) in dairy cattle triggers systemic physiological disruptions, including milk yield decline, immune suppression, and reproductive dysfunction, jeopardizing sustainable livestock production. While conventional single-omics or phenotypic studies have provided fragmented insights, they fail to decipher the multi-layered regulatory networks and gene–environment interactions underlying HS. This review integrates current knowledge on HS-induced physiological responses and molecular adaptations in dairy cattle from a multi-omics perspective, highlighting integrative approaches that combine IoT-enabled monitoring and AI-driven genetic improvement strategies. However, key challenges persist, such as complexities in bioinformatic data integration, CRISPR off-target effects, and ethical controversies. Future directions will emphasize the development and application of AI-aided predictive models to enable precision breeding, thereby advancing climate-resilient genetic improvement in dairy cattle. Full article

South Africa’s bioeconomy strategy identifies bio-innovation as a key driver of economic growth and social development, with plant breeding playing a central role in improving food security through the development of high-yielding, resilient, and high-quality crops. However, consumer perceptions of recent advances, particularly new breeding techniques (NBTs), remain underexplored. This study examines South African consumer attitudes towards plant breeding innovations, using a mixed-methods approach. The initial focus group interviews informed the development of a structured quantitative survey examining familiarity, perceptions, and acceptance of plant breeding technologies. Consumer awareness of plant breeding principles was found to be limited, with 67–68% of respondents unfamiliar with both conventional and modern plant breeding procedures. Despite this information gap, consumers expressed conditional support for modern breeding techniques, especially when associated with actual benefits like increased nutritional value, environmental sustainability, and crop resilience. When favourable effects were outlined, support for general investment in modern breeding practices climbed from 45% to 74%. Consumer purchase decisions emphasised price, product quality, and convenience over manufacturing techniques, with sustainability ranked last among the assessed factors. Trust in the sources of food safety information varied greatly, with medical experts and scientists being ranked highly, while government sources were viewed more sceptically. The results further suggest that targeted education could improve customer confidence, as there is a significant positive association (R² = 0.938) between familiarity and acceptance. These findings emphasise the significance of open communication strategies and focused consumer education in increasing the adoption of plant breeding breakthroughs. The study offers useful insights for policymakers, researchers, and industry stakeholders working on engagement strategies to facilitate the ethical growth and application of agricultural biotechnology in support of food security and quality in South Africa. This study contributes to a better understanding of South African consumers’ perceptions of plant breeding innovations and food safety. The research findings offer valuable insights for policymakers, researchers, and industry stakeholders in developing effective engagement and communication strategies that address consumer concerns and promote the adoption of products derived from diverse plant breeding technologies. Full article

Artificial intelligence and bioacoustics represent a paradigm shift in non-invasive poultry welfare monitoring through advanced vocalization analysis. This comprehensive systematic review critically examines the transformative evolution from traditional acoustic feature extraction—including Mel-Frequency Cepstral Coefficients (MFCCs), spectral entropy, and spectrograms—to cutting-edge deep learning architectures encompassing Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, attention mechanisms, and groundbreaking self-supervised models such as wav2vec2 and Whisper. The investigation reveals compelling evidence for edge computing deployment via TinyML frameworks, addressing critical scalability challenges in commercial poultry environments characterized by acoustic complexity and computational constraints. Advanced applications spanning emotion recognition, disease detection, and behavioral phenotyping demonstrate unprecedented potential for real-time welfare assessment. Through rigorous bibliometric co-occurrence mapping and thematic clustering analysis, this review exposes persistent methodological bottlenecks: dataset standardization deficits, evaluation protocol inconsistencies, and algorithmic interpretability limitations. Critical knowledge gaps emerge in cross-species domain generalization and contextual acoustic adaptation, demanding urgent research prioritization. The findings underscore explainable AI integration as essential for establishing stakeholder trust and regulatory compliance in automated welfare monitoring systems. This synthesis positions acoustic AI as a cornerstone technology enabling ethical, transparent, and scientifically robust precision livestock farming, bridging computational innovation with biological relevance for sustainable poultry production systems. Future research directions emphasize multi-modal sensor integration, standardized evaluation frameworks, and domain-adaptive models capable of generalizing across diverse poultry breeds, housing conditions, and environmental contexts while maintaining interpretability for practical farm deployment. Full article

Brachycephalic dogs remain highly popular despite the well-documented health problems associated with their conformation. The aim of this study was to investigate differences in the bonding between humans and dogs, behavioral characteristics, awareness of clinical breed-related ailments, and purchasing intentions among Italian brachycephalic dog owners (BDOs) and non-brachycephalic dog owners (NBDOs). A questionnaire, including the DORS and C-BARQ scales, was administered to 320 BDOs and 408 NBDOs. Despite the occurrence of breed-related disorders, 81% of BDOs rated their dog’s health status as good to excellent. Most BDOs were aware of the prevalence of these disorders in the broader brachycephalic dog population. Character and appearance were the main motivations for choosing these breeds. Owners’ satisfaction with specific aspects of ownership, such as veterinary costs and behavior, generally met expectations. Mean scores of perceived emotional closeness (PEC) and dog–owner interaction (DOI) were significantly higher among BDOs compared to NBDOs, while the perceived cost (PC) mean score was higher among NBDOs. The C-BARQ scores for trainability, excitability, and separation-related behaviors were significantly higher in BDOs than in NBDOs. Despite the growing awareness of health issues, the popularity of brachycephalic breeds persists. Scientific evidence may support a revision of brachycephalic breed standards, prioritizing animal welfare while preserving desirable aesthetic traits, promoting more ethical breeding. Full article

As a core species in the global livestock industry, cattle play an irreplaceable role in human food security and economic development. Beef cattle and dairy cattle meet the dietary needs of billions of people around the world by providing high-quality protein and dairy products, respectively. With the growth in population and the intensification of the pressure of climate change, traditional breeding techniques may be unsuitable to meet the increasingly growing demands for sustainable and highly adaptable processes. In recent years, the rapid development of genomics, bioinformatics, and gene-editing technologies has provided unprecedented tools and perspectives for the genetic improvement of cattle, driving the precise design and efficient development of new cattle breeds. However, the development of new cattle breeds still faces multiple bottlenecks pertaining to scientific, ethical, and industrialization aspects, which can be addressed through interdisciplinary collaboration. In this review, we will systematically assess the technological progress in the genetic breeding of beef cattle and dairy cattle, analyze the integration path of traditional breeding and modern biotechnology, and explore the future directions of cattle breeding research under the sustainable development goals, with the aim of providing theoretical support for cattle breeding. Full article

The relentless drive to meet global demand for poultry products has pushed for rapid intensification in chicken farming, dramatically boosting efficiency and yield. Yet, these gains have exposed a host of complex welfare challenges that have prompted scientific scrutiny and ethical reflection. In this review, I critically evaluate recent innovations aimed at mitigating such concerns by drawing on advances in behavioral science and digital monitoring and insights into biological adaptations. Specifically, I focus on four interconnected themes: First, I spotlight the complexity of avian sensory perception—encompassing vision, auditory capabilities, olfaction, and tactile faculties—to underscore how lighting design, housing configurations, and enrichment strategies can better align with birds’ unique sensory worlds. Second, I explore novel tools for gauging emotional states and cognition, ranging from cognitive bias tests to developing protocols for identifying pain or distress based on facial cues. Third, I examine the transformative potential of computer vision, bioacoustics, and sensor-based technologies for the continuous, automated tracking of behavior and physiological indicators in commercial flocks. Fourth, I assess how data-driven management platforms, underpinned by precision livestock farming, can deploy real-time insights to optimize welfare on a broad scale. Recognizing that climate change and evolving production environments intensify these challenges, I also investigate how breeds resilient to extreme conditions might open new avenues for welfare-centered genetic and management approaches. While the adoption of cutting-edge techniques has shown promise, significant hurdles persist regarding validation, standardization, and commercial acceptance. I conclude that truly sustainable progress hinges on an interdisciplinary convergence of ethology, neuroscience, engineering, data analytics, and evolutionary biology—an integrative path that not only refines welfare assessment but also reimagines poultry production in ethically and scientifically robust ways. Full article

The integration of artificial intelligence (AI) into chest radiography (CXR) has greatly impacted both human and veterinary medicine, enhancing diagnostic speed, accuracy, and efficiency. In human medicine, AI has been extensively studied, improving the identification of thoracic abnormalities, diagnostic precision in emergencies, and the classification of complex conditions such as tuberculosis, pneumonia, and COVID-19. Deep learning-based models assist radiologists by detecting patterns, generating probability maps, and predicting outcomes like heart failure. However, AI is still supplementary to clinical expertise due to challenges such as data limitations, algorithmic biases, and the need for extensive validation. Ethical concerns and regulatory constraints also hinder full implementation. In veterinary medicine, AI is still in its early stages and is rarely used; however, it has the potential to become a valuable tool for supporting radiologists in the future. However, challenges include smaller datasets, breed variability, and limited research. Addressing these through focused research on species with less phenotypic variability (like cats) and cross-sector collaborations could advance AI in veterinary medicine. Both fields demonstrate AI’s potential to enhance diagnostics but emphasize the ongoing need for human expertise in clinical decision making. Differences in anatomy structure between the two fields must be considered for effective AI adaptation. Full article

The purpose of this study was to analyze the poultry chain in southern Italy to describe the characteristics of farms and their locations and to propose an optimized organizational model with a broader approach that considers not only economic and environmental factors, but also ethical ones, including animal welfare protection, particularly in the poultry food safety chain. To obtain these results, the geolocations of poultry facilities, identifying possible verticalizations in the supply chain, were used. Data were collected in the province of Foggia (Italy) and organized in a dataset in collaboration with the Prevention Department of the Local Health Authority. A geo-imputation procedure and centroid calculation allowed us to formulate an optimizing hypothesis regarding the geolocation of upstream and downstream facilities in the process of chicken breeding by identifying a possible verticalization in the supply chain. Our results highlight the importance of broadening the concept of industrial symbiosis in the management of poultry farming, not only from an environmental perspective, but also from a social perspective. In particular, concerning ethical aspects, protecting animal welfare today is an essential goal of the sector to ensure high quality and yield of poultry meat. The results represent the first step towards proposing an optimized organizational model that takes ethical and social aspects into consideration. The paper is intended to highlight how, in the poultry sector, an organizational scheme can also reconcile other aspects, such as safeguarding the welfare conditions of animals on farms and during transport to improve food safety. Full article

Congenital heart diseases (CHDs) are structural anomalies present at birth, resulting from aberrant embryonic development. In veterinary medicine, CHDs are an important reason for disease and death in both dogs and cats. Their prevalence varies across species and breeds, with certain defects being more common in specific breeds due to genetic predisposition. In this article, we will focus specifically on cor triatriatum dexter (CTD), an uncommon congenital defect that involves the division of the right atrium into two chambers by a fibromuscular membrane. This malformation can have serious consequences, depending on the severity of the obstruction created by the membrane, and the presence of the often-associated congenital anomalies. It can range from mild, clinically silent anomalies to severe defects that result in heart failure, cyanosis, or sudden death. The present review aims to (i) explore the pathophysiology of CTD in dogs; (ii) outline the clinical scenario underlying the increased interest in CHDs by overviewing the evolution of appropriate diagnostic techniques and the treatment options available; and (iii) provide a discussion from a medical–legal and ethical point of view. Full article

Horsemeat, known for its high nutritional value and lower environmental impact compared to beef, faces cultural and ethical challenges. Despite its potential, genetic research on horsemeat quality remains limited and no Quantitative Trait Loci (QTLs) have been identified. The aim of this study was to identify and prioritize Single Nucleotide Polymorphism (SNP) markers on the GeneSeek^® GenomicProfiler™ Equine chip for traits related to meat quality. Genes associated with meat quality were identified through a PubMEd search. These were analyzed for SNPs with potential regulatory or functional effects based on Genomic Evolutionary Rate Profiling (GERP) scores, constrained element locations, orthologous regulatory regions in mice and humans, and effects on polyadenylation, miRNA, and transcription factor binding. Further prioritization focused on genes whose orthologs are within QTLs for meat quality traits in other species. Including SNPs in linkage disequilibrium with chip markers from the Animal-SNPAtlas, we identified 27 SNP markers associated with 19 genes. Notable candidates include ALDOA, CS, GOT1, PLIN1, PYGM, and SDHB, linked to metabolic pathways, and MYL11, MYOM1, PDLIM5, RYR3, and TNNT3, associated with muscle structure and development. This research provides genetic insights to improve horsemeat quality and help breeders and smallholder farmers. Integrating these results with larger datasets can improve breeding value predictions and support effective breeding programs. Full article

Traditional pig breeding has improved production traits but faces limitations in genetic diversity, disease resistance, and environmental adaptation. Gene editing technologies, such as CRISPR/Cas9, base editing, and prime editing, enable precise genetic modifications, overcoming these limitations and expanding applications to biomedical research. Here, we reviewed the advancements in gene editing technologies in pigs and explored pathways toward optimized swine genetics for a resilient and adaptive livestock industry. This review synthesizes recent research on gene editing tools applied to pigs, focusing on CRISPR/Cas9 and its derivatives. It examines their impact on critical swine production traits and their role as human disease models. Significant advancements have been made in targeting genes for disease resistance, such as those conferring immunity to porcine reproductive and respiratory syndrome viruses. Additionally, gene-edited pigs are increasingly used as models for human diseases, demonstrating the technology’s broader applications. However, challenges such as off-target effects, ethical concerns, and varying regulatory frameworks remain. Gene editing holds substantial potential for sustainable and productive livestock production by enhancing key traits and supporting biomedical applications. Addressing technical and ethical challenges through integrated approaches will be essential to realize its full potential, ensuring a resilient, ethical, and productive livestock sector for future generations Full article