Modern pig production must balance efficiency, animal welfare, and environmental sustainability while embracing circular bioeconomy principles. This review critically examines the scientific literature from the past decade, focusing on the environmental impacts of pig farming, animal welfare considerations, and circular bioeconomy strategies. Key challenges include the ethical treatment of pigs, regulatory frameworks, and the sector’s contribution to climate change through emissions and resource use. Sustainable pig farming relies on innovative housing systems, welfare-oriented management practices, and legislative measures that improve animal welfare. Moreover, integrating circular bioeconomy strategies, which include manure management for biogas production, alternative feed ingredients, and wastewater recycling, enhances resource efficiency while reducing environmental footprints. Life Cycle Assessment (LCA) methodologies provide insight into the environmental impacts of different production systems, guiding policymakers and producers toward more sustainable practices. Despite these advances, further research is needed to optimize feed alternatives, improve manure treatment technologies, and explain how to improve animal welfare standards. This review highlights the importance of interdisciplinary approaches in achieving sustainable pig farming and underscores the need for continued innovation in aligning productivity and environmental aims.

This study aimed to evaluate the effect of different levels (15% and 20% w.w⁻¹) of bakery meal (BM) inclusion on growth performance, welfare and behavior indicators in post-weaning piglets. Sixty post-weaning castrated male piglets were selected and divided in 3 feeding treatments: standard post-weaning diet with no BM added (CON), standard post-weaning diet with 15% w.w⁻¹ BM added (BM 15) and standard post-weaning diet with 20% w.w⁻¹ BM added (BM 20). Body weight (BW), average daily gain (ADG), feed intake (FI) and feed conversion ratio (FCR) were recorded individually on a weekly basis. Additionally, welfare, quality behavior indicators, wounds and tail-biting incidence were assessed. The supplementation with BM in piglets’ diet had a significant impact on ADG and FCR during certain periods of the trial. BM 15 piglets showed higher ADG and lower FCR in the last week of the experiment compared to CON piglets (1278.57 ± 7.14 g vs. 905.00 ± 47.86 g and 1.69 ± 0.04 g vs. 2.35 ± 0.08 g, respectively). Overall, BM inclusion had no significant effect on performance, quality behavior characteristics and welfare (p > 0.05). The inclusion of BM at either 15% or 20% w.w⁻¹ illustrated no detrimental effects on the overall growth parameters, welfare and behavior indicators for post-weaned piglets.

This study aimed to investigate the incidence of subclinical mastitis (SCM), the implicated pathogens, and their impact on milk quality in dairy sheep in Greece. Furthermore, we preliminarily evaluated infrared thermography and the application of AI tools for the early, non-invasive diagnosis of relevant cases. In total, 660 milk samples and over 2000 infrared thermography images were obtained from 330 phenotypically healthy ewes. Microbiological investigations, a somatic cell count (SCC), and milk chemical analyses were performed. Infrared images were analyzed using the FLIR Research Studio software (version 3.0.1). The You Only Look Once version 8 (YOLOv8) algorithm was employed for the automatic detection of the udder’s region of interest. A total of 157 mammary glands with SCM were identified in 122/330 ewes (37.0%). The most prevalent pathogen was staphylococci (136/160, 86.6%). Considerable resistance was detected to tetracycline (29.7%), ampicillin (28.6%), and sulfamethoxazole–trimethoprim (23.6%). SCM correlated with high total mesophilic count (TMC) values and decreased milk fat, lactose, and protein content. A statistically significant variation (p < 0.001) was identified in the unilateral SCM cases by evaluating the mean temperatures of the udder region between the teats in the thermal images. Finally, the YOLOv8 algorithm was employed for the automatic detection of the udder’s region of interest (ROI), achieving 84% accuracy in defining the ROI in this preliminary evaluation. This demonstrates the potential of infrared thermography combined with AI tools for the diagnosis of ovine SCM. Nonetheless, more extensive sampling is essential to optimize this diagnostic approach.

Ruminant livestock production faces rising challenges related to feed costs, sustainability, and methane (CH₄) emissions, with the rumen microbiome playing a central role. This study evaluated the effects of processed and unprocessed orange peel waste, valorized as secondary feedstuff, on rumen microbial composition and methanogen abundance in dairy sheep while assessing primer-dependent biases in microbial detection. Eighteen mid-lactation Chios ewes were assigned to three isonitrogenous and isoenergetic diets: control, 11% processed orange peel, and 11% unprocessed orange peel, over an 84-day trial. Rumen samples collected on days 0 and 84 were analyzed using Oxford Nanopore sequencing with full-length 16S (V1–V9) and prokaryotic (V3–V4) primers. Firmicutes (39.5–58.0%) and Bacteroidota (20.0–37.4%) predominated across diets, while Methanobacteria (6.9–8.8%) were detected exclusively with the prokaryotic primer. Orange peel inclusion attenuated the rise of Proteobacteria in controls and stabilized Prevotella populations. Notably, the processed orange peel diet reduced Methanobacteria abundance by 19.3% (p < 0.05) after 84 days, suggesting enhanced antimethanogenic effects. These results highlight both the methodological relevance of primer selection and the potential of citrus by-products as sustainable feed ingredients that promote rumen microbial stability and contribute to methane mitigation in dairy sheep production.