The aim of this study was the economic comparison of two equivalent sheep farms with different reproductive management systems. Financial data were selected from a farm that applied artificial insemination (AI) and from one that applied natural mating (NM). The main objective of the analysis was to estimate the cost of each farm’s products and then to calculate their economic indicators. The AI farm had higher production costs, as a result of higher labor and fixed capital costs. On the other hand, the invested capital for the equipment and buildings of the NM farm was lower. Furthermore, the invested livestock capital based on the genetic value of the animals was higher in the AI farm. The AI farm produced milk, replacement ewe lambs and replacement ram lambs as its primary products, whereas the NM farm produced only milk as its primary product. The production costs for milk were 0.08 EUR/kg lower in the AI farm compared with the NM farm. The AI farm had a higher gross revenue and net and gross profit, resulting from the higher genetic value of the AI farm’s livestock. As indicated, the breeding and sale of genetically improved animals can increase the financial results of a farm and offer alternative sources of income. In conclusion, AI results in more sustainable and economically efficient sheep farming. In this regard, training for farmers and governmental economic support could promote AI application. Finally, the fortification of farmer group initiatives that facilitate the trade of dairy sheep products can accelerate AI utilization in dairy sheep farms in Greece.

There is a scarcity of relevant information in the international literature regarding the welfare of dairy ewes during the milking process and the potential impact on the quality of the produced milk. Hence, there is a scope to further study potential interactions between the milking process and animal welfare in dairy sheep flocks. The specific objectives of this study were (i) the evaluation of the frequency of reactions potentially associated with the reduced welfare of dairy sheep during the milking process, (ii) the identification of predictors associated with the presence of these reactions, and (iii) the evaluation of associations with the quality of milk produced on a farm. The study was conducted in 52 dairy sheep farms in Greece. The farms were visited, and the milking process was observed and monitored, and the reactions of ewes during the milking process were recorded; samples from the bulk-tank milk were collected for somatic cell and total bacterial counting. Univariable and multivariable analyses were performed. The median duration of milking per row was 7.9 min, and the median duration of the milking process was 105 min. The reaction observed less often from ewes was vocalisation (in 9.6% of farms), and the one observed more frequently was ‘spot stepping’ (in 98.1% of farms). In total, eight different predictors were identified for the displaying of the various reactions observed and recorded; of these, two were related to the milking parlour and six were related to the milking process. Moreover, three different predictors were identified for the milk quality parameters; of these, one was related to the milking parlour and two were related to the milking process. Finally, a mild correlation was seen between the proportion of ewes that attempted to remove the milking cluster, and the somatic cell counts in the bulk-tank milk (p = 0.023). The results confirmed that incorrect practices during machine-milking can be stress factors for dairy sheep. In light of the present findings, procedures by milkers should be carefully carried out, which will contribute to minimising the nervousness and aggravation of ewes during milking. Stress factors can adversely affect the quality of milk produced on the farm. The findings underline that maintenance of animal welfare is linked to high product quality. This connection can further extend to consumer perceptions: the ethical treatment of dairy sheep is considered as an important facet of the overall food quality and sustainable production.

The objectives of the present work were as follows: (i) the detection of cathelicidin biomolecules in the milk of individual goats during the early stages of mastitis and their potential use for the diagnosis of mastitis at its early stage and (ii) the evaluation of the presence of cathelicidin proteins in the bulk-tank milk from goat and sheep farms. In an experimental study, after inoculation of Staphylococcus simulans into a mammary gland of goats, bacteriological and cytological examinations of milk samples, as well as proteomics examinations [two-dimensional gel electrophoresis analysis (2-DE) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometer (MALDI-TOF MS) analysis] were performed sequentially, from 4 to 48 h post-challenge. Cathelicidin-1 and cathelicidin-2 were detected consistently in milk samples obtained throughout the study, and spot optical densities obtained from PDQuest v.8.0 were recorded. Associations were calculated between the presence of mastitis in a mammary gland at a given timepoint and the detection of cathelicidin proteins in the respective milk sample. All inoculated mammary glands developed mastitis, confirmed by the consistent bacterial isolation from milk samples and the increased somatic cell content therein. Spot optical density of cathelicidin proteins was higher than in samples from contralateral mammary glands. There was a significant association between the presence of mastitis in a mammary gland and the detection of cathelicidin biomolecules in the respective milk sample; the overall accuracy was 81.8% (95% confidence interval: 70.4–90.2%). In a field investigation, the presence of cathelicidin proteins was evaluated in the bulk-tank milk of 32 dairy goat and 57 dairy sheep farms. In this part of the work, no cathelicidin proteins were detected in any bulk-tank milk sample of goat, 0.0% (95% confidence interval: 0.0–10.7%), or sheep, 0.0% (95% confidence interval: 0.0–6.3%), farms.

This paper describes a detailed evaluation of published works, in which proteomics methodological approaches and technologies were used to advance knowledge about small ruminants. The specific objective of this assessment was the presentation of quantitative characteristics on the content and the bibliometric details of publications on the use of proteomics methodological approaches and technologies in small ruminant work. For the search of published papers, the following topical search string was used: [sheep OR ovine OR Ovis aries OR goat* OR caprine OR Capra hircus] AND [proteom*], in the Web of Science database. In total, 481 published papers (448 original articles and 33 reviews) were evaluated individually. These originated from 56 countries, mostly from China and the United States of America, and increased gradually with time. Most (85.7%) original articles presented experimental work with animals, most often in sheep/goat production (37.4%) and reproduction (21.8%), and less often in physiology (19.0%) or diseases (17.9%). Tissues analyzed more often were milk (17.9%), blood (10.3%), and muscle (9.2%). The proteomics methodological approach and technology employed most frequently was the liquid chromatography-tandem mass spectrometry (52.9% of articles). The journal, in which papers were published most frequently, was the Journal of Proteomics (8.3%). There were 3689 authors in total in the published papers, with a median number of 7 per paper Median number of references was 50 per published paper. Median number of citations was eight per published paper, and median number of annual citations was 2.0 per published paper. Significant predictors for the number of annual citations were (a) for reviews, the number of references, and (b) for original articles, the number of references, the topic of study, and the animal species referred to in the articles. The Epimetre briefly reviews the contribution of proteomics in the health management of sheep and goats. Overall, the results have indicated that the use of proteomics methodological approaches and technologies in sheep and goat work has advanced our knowledge and understanding of the biology of these two animal species in a multitude of fields and topics internationally, with an increasing dissemination and applicability.

The intensification and continuous evolution of dairy sheep and goat farming have played an essential role in the development and implementation of milking equipment. The increasing demand for time-efficient milking procedures, reduced labour costs, sustained milk production, and optimal mammary health have driven the widespread adoption and optimisation of machine milking technologies. The objectives of this article are (i) the review of milking systems and relevant technological developments in milking equipment and (ii) the evaluation and description of their impact on udder health, as applied on dairy small ruminant farms. Milking systems used on farms depend on the available space and number of animals on the farms. Appropriate settings in milking systems are important for ensuring good milk quality; among them, vacuum level, pulsation rate and ratio are important characteristics that must be monitored regularly. Further, use of appropriate teatcups specific to the animal species to be milked is significant. An important aspect of proper maintenance of the milking system is the cleaning procedure after completion of milking. Points for consideration are quality and temperature of the water used for cleaning, use of detergents and disinfectants, and maintenance schedule and teatcup replacement. Some technological features that are part of milking systems include automatic vacuum shut off, electronic milk recording, electronic identification of animals, automatic flushing of milking clusters and automatic pre-stimulators. Farms will benefit from applying precision technologies, which will use data from tools related to animal genetic background, animal behavioural indicators, environmental conditions and disease-related functions for more holistic and cost-effective farm management. In this context, integration of sensor-based technologies in milking systems will be able to provide real-time information regarding quality of milk produced at individual and farm levels. Moreover, the introduction of automatic system flushing in-between animals during the milking procedure can contribute to breaking chains of potential bacterial transfer and reducing animal infections during milking. Overall, although machine milking has certainly contributed to improved efficiency, milk quality and labour conditions, flaws in system function may adversely affect mammary health.

The specific objective of the current paper was the description of some health-related outcomes in sheep and goat farms in Greece with common grazing with wildlife ruminants. Faecal samples were collected and information regarding health management applied on farms was obtained from sheep and goat farms located throughout Greece (325 and 119 farms, respectively). Common grazing of livestock (sheep, goats) with wildlife ruminants (roe deer, red deer) was reported in 9.2% of farms. Faecal epg counts in farms with common grazing with wildlife ruminants were higher than in farms with no common grazing: respective median values were 270 epg versus 150 epg; also, there was a tendency for faecal counts >300 epg to be recorded more frequently among the former farms (36.1% versus 23.1% of farms). Median annual incidence of cases of abortion and of cases of diarrhoea in lambs/kids was significantly higher in farms with common grazing with wildlife ruminants: 1.7% and 9.0%, respectively, versus 0.0% and 1.7%, respectively, in farms with no common grazing. The findings have revealed associations of common grazing with wildlife ruminants with the health of sheep and goats. These can have implications in the health management of farms, for example, in the administration of anthelmintic treatments and in the development of vaccination programmes in livestock farms.