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22 June 2026

16 Pages

Machine Milking in Small Ruminants: Milking Systems and Association with Milk Quality Produced in the Farms

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and
1
Faculty of Animal Science, University of Thessaly, 41110 Larissa, Greece
2
Veterinary Faculty, University of Thessaly, 43100 Karditsa, Greece
*
Author to whom correspondence should be addressed.

Abstract

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.

1. Introduction

Internationally, approximately 20% of sheep and goats are farmed for dairy production. Dairy sheep and goat farming is the primary production type in para-Mediterranean countries in Africa, Asia and Europe [1]. Indeed, dairy sheep farming has been practiced in Southern and Eastern Europe since the ancient Greek and Roman periods [2] and still remains relevant and important in those areas, as dairy products are significant ingredients of local diets. Dairy goat farming is also widely practiced in India and China, where it has played a pivotal role in agricultural development [3,4]; notably, goat farming has recently also expanded in high-income and technologically developed parts of the world, as an alternative to dairy cattle farming [1].
Milking systems constitute essential equipment in dairy farming. They have been designed to simulate the physiological process of sucking. Milking, like sucking, triggers a neuroendocrine reflex, during which hormones play an essential role for milk ejection [5]. The efferent leg of the neuroendocrine milk ejection reflex involves the release of oxytocin, which acts on myoepithelial cells and leads to expulsion of the alveolar milk towards the teat [6]. Milk present within the gland cistern may be ejected at the start of milking, even without pre-stimulation and the subsequent oxytocin release [7]. However, for the complete evacuation of a mammary gland, oxytocin release and milk ejection are necessary.
The development of milking systems began in the late 19th century and was followed by their gradual adoption in dairy cattle farming from 1910 to 1950 [8]. This was associated with an enhancement in the quality of the produced milk [9]. In contrast, the mechanisation of milking in small ruminants occurred later. The first systematic attempts to introduce machine milking in dairy ewes emerged in the 1960s in France [10]. The delayed adoption of this technology can be attributed to several factors, including differences in management systems, the unsuitability for machine milking of the udder morphology in many sheep and goat breeds, and the limited availability of technical knowledge and training among farmers [11]. Technological advances in dairy small ruminant systems have historically followed those achieved in cattle. Notably, robotic milking systems have developed for use on sheep and goat farms significantly later than on dairy cattle farms [12].
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. In a nationwide investigation in Greece, 78% of sheep farms and 55% of goat farms were found to apply machine milking [13]. In smaller-scale surveys in other para-Mediterranean countries and New Zealand, machine milking was found to be applied on all sheep farms and on 67% to 100% of goat farms [14,15,16].
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.
The literature sources for this review included mainly articles in peer-reviewed journals. Primarily, these were identified during searches performed on repeated occasions in the Web of Science platform (www.webofknowledge.com; Clarivate Analytics, London, United Kingdom). The search terms included ‘dairy’, ‘goat OR caprine OR Capra hircus’, ‘liner’, ‘mastitis’, ‘milking’, ‘milking machine OR machine milking’, ‘milking parlour’, ‘milk production’, ‘milking system’, ‘pipeline’, ‘pulsation rate’, ‘sheep OR ovine OR Ovis aries’, ‘robotic’, ‘teatcup’, and ‘vacuum level’. Subsequently, the articles were retrieved from the relevant journals. Overall, 83.5% of the cited references are articles in journals listed therein.

2. Milking Parlours and Milking Systems

A milking parlour refers to a construction wherein the milking system and equipment are installed and animals are milked. This is usually in an annex to the main farm building or even in a separate building. Often, there is a waiting area before the milking parlour, where animals stand and can be segregated into milking groups.
Milking systems should work as effective management systems, where animals are milked in large numbers in a time-efficient manner. Each farm should adopt and apply a tailored milking routine, from the pre-milking phase until the post-milking actions.
There are various types of milking systems in use on dairy sheep and goat farms (Table 1). Common classification criteria for milking systems include (i) the type of stall wherein animals are restrained during milking, and (ii) the placement of animals at the same level as milkers or above them during milking [17]. The milking system used in a farm would depend on the available space within the milking parlour and the size of the flock or herd.
Table 1. Characteristics of frequently established types of stall in milking systems in use on dairy sheep and goat farms.
Overall, of the above types of stalls, the linear types are the ones installed more frequently on dairy small ruminant farms (Greece: Lianou et al. [13]; Spain: Milán et al. [14] and Gonzalo et al. [18]; United Kingdom: Anzuino et al. [19]). In contrast, Chambers and Laven [16] reported that the fishbone type predominated on dairy sheep farms in New Zealand.
Milking systems can involve a mobile milking cart or a fixed pipeline installation. A mobile milking cart consists of (i) one or two milking clusters (i.e., one or two pairs of teatcups), (ii) a compact vacuum pump and (iii) the milk collection bucket. The milker moves the cart from one animal to another, in order to place it behind the animals and use it for machine milking; at the end of the procedure, the collected milk is manually transferred from the buckets to a milk tank by the milker. This system has a low cost and offers flexibility (e.g., it is convenient for farms with transhumant flocks or herds), but requires considerable manual work for moving the cart and emptying milk buckets into the tank. In general, few farms use mobile milking carts [13,14,16,20,21]; due to the significant effort required by the farmer, its use is recommended on farms with fewer than 50 animals. In Greece, only 15.3% and 9.1% of sheep and goat farms, respectively, used mobile milking carts [13], whilst a study in Italy reported that only 6.6% of farms used mobile milking carts [20]. In contrast, relevant studies in Spain and New Zealand did not report use of mobile milking carts on dairy small ruminant farms [14,16,21].
In most cases, farms have a milking system with a fixed pipeline installation. The installation transfers the milk through a milk line directly to cooling tanks, which eliminates manual handling of the collected milk. This set up allows a single milker to simultaneously handle many milking units, thereby improving labour efficiency. In such cases, milk is transported through a closed system; this reduces risk of dirtying by dust and contamination by environmental pathogens, thus preserving milk quality [22,23].
Linear-type stalls can be further classified according to the mode of exit of the animals post-milking. Animals enter into the stall and are restrained by adjustable individual headlocks. After completion of the milking procedure, there are two approaches for the exit of animals from the stall. In the first, animals walk alongside the pit and would exit individually through an opening opposite to the one through which they entered into the stall. Alternatively, the barrier in front of the animals can be lifted, so they would exit at the same time (in a fast-exit type) from the stall, subsequently walking outside the parlour; this latter mode allows quicker turnover of groups and increased parlour throughput [11].
In fishbone-type stalls, both modes of animal exiting can be applied. In circular-type stalls, animal exit is achieved through a single exit gate, where the animals follow a continuous flow of walking away from the platform [24].
All types of milking systems share some basic common components (Table 2), as detailed below.
Table 2. Basic components of milking systems in use on dairy sheep and goat farms.
Milk ejection occurs when vacuum is applied onto the teat end, forcing the teat canal to open and milk to flow out. The milk flows from each teatcup to the cluster through milk tubes and pipelines to the milk receiver and onwards to the cooling tank. At the same time, air moves from the cluster via pipelines, through the sanitary trap and distribution tank to the vacuum pump, where it is discharged. Air is intermittently admitted into each pulsator in short, regular pulses, creating the opening and closing action of the liners. The pulsation system is essential for stimulating blood circulation around the teat. This can be achieved with the pulsation chamber (i.e., the space between the liner and the teatcup), by altering the atmospheric air and vacuum, making the liner open and close, leading to a milk-out phase and a massage phase respectively. The liner is open when there is no pressure difference between the inside and outside of the liner, and milk flow takes place during this phase. Then, the massage phase follows, with air getting into the system and causing liner collapse [25,26,27].
One complete liner movement is termed a ‘pulsation cycle’. ‘Pulsation rate’ is the number of pulsation cycles per minute. The pulsation ratio refers to the length of the milk-out phase compared with the massage phase.
The characteristics of a milking system are important for a proper milking routine, in order to ensure high milk yield and milk quality. Various settings have been proposed by different researchers and differ for application in the milking of sheep or goats (Table 3).
Table 3. Proposals for milking systems on dairy small ruminant farms.
Moreover, a recent study showed that in dairy sheep a vacuum level of 46 kPa with concurrent administration of vitamin E and selenium (which would exert an immunostimulatory effect [39]) led to a 12.5% increase in milk yield [40]. Further, comparative studies in goats have revealed that a vacuum level around 35 to 36 kPa resulted in better performance than the lower value of 30 kPa [34] or the higher value of 42 to 44 kPa [34,36].
In a milking system, the location of the pipelines may vary in relation to the position of animals during milking, i.e., low-, mid- or high-level (where pipelines run below, up to 1.26 m above or over 1.26 m above, respectively, the position of standing animals during milking [41]). In general, mid- or high-level systems have lower installation costs and better efficiency, whilst low-level systems require a lower vacuum level to function and also minimise vacuum fluctuations [42]. Díaz et al. [42] and Lianou et al. [43,44] reported that the type of line level did not have an impact on teatcup detachment, milking time, milk yield and milk somatic cell counts and chemical composition, whilst, in contrast, Gonzalo et al. [18] reported that milk produced on farms with low-level systems achieved a better price for bulk-tank milk in relation to somatic cell counts and total bacterial counts. Moreover, high-level systems require a higher vacuum to achieve transfer of milk against gravity, leading to more vacuum fluctuations during the milking procedure and less efficient cleaning of the system after that [45,46].
The use of appropriate teatcups for the animals to be milked is also important, i.e., teatcups specific to the animal species to be milked [47,48]. This can raise issues on mixed sheep and goat farms with only one milking system that is equipped with teatcups specific to only one animal species. Use of inappropriate teatcups leads to their incorrect fitting on the teats of the udder [48]; in turn, this can lead to potential vacuum fluctuation, leading to teatcup detachment, overmilking and stripping, ultimately resulting in reverse milk flows [46,49,50]. In such cases, bacteria present in the milk can invade the teat duct and subsequently colonise the mammary parenchyma [51].

3. Technological Features in Milking Systems

Milking systems can incorporate various technological features that aim to improve the milking routine by reducing overmilking, contributing to maintaining udder health, reducing milking time and collecting information to enable informed decisions during health management of flocks or herds. Usual technological features in milking systems include the following.
  • Automatic vacuum shut off: This feature provides automatic detachment of teatcups, without milker intervention. The detachment can be time-based or milk flow-based. The system contributes to maintaining mammary health, as it eliminates overmilking and prevents contact with milkers’ hands. This can lead to time-efficient milking and reducing staffing costs [7,52,53]. Adverse effects can occur when the shut-off parameters are not set properly, leading to overmilking or incomplete milking.
  • Electronic milk recording: This feature allows milk recording, which is an essential practice for efficient genetic improvement and application of breeding programmes on farms. The relevant equipment involves a sensor, which is linked to software that allows estimation of the milk yield of individual animals, and subsequently storage of results. Information usually collected during electronic recording includes milk yield and flow rate, milk composition, and conductivity, which are estimated in volume-measuring chambers, by sensors using infrared technology or by conductivity sensors [54]. This equipment can also facilitate the collection of milk samples from individual animals [53,55].
  • Electronic identification of animals: On farms where electronic identification of sheep and goats is practiced (e.g., through use of intraruminal bolus or leg tags), this feature supports the association of the identity of animals with data related to the respective milk production (volume and quality), based on data obtained during milking of each animal. This allows the storage of animal-specific results in the farm management software [53,56].
  • Automatic flushing of milking clusters: This feature involves the cold-water flushing of milking units in-between the milking of two animals, which can contribute to limiting the dissemination of staphylococci within the milking system. The use of the feature has already been successfully evaluated in cattle farms [57]; although no reports regarding its use on dairy small ruminant farms have appeared, the feature may prove to be efficient, particularly because staphylococci are predominant mammary pathogens in these species.
  • Automatic pre-stimulators: An increase in the pulsation rate during the first phase of milking is performed to ensure the release of oxytocin, facilitating milking performance without human intervention [58]. In goats, pre-stimulation was reported to lead to better milk flow and shorter milking duration [59]. However, this has not been confirmed in ewes [60].

4. Errors and Flaws in the Milking Procedure and Potential Association with Mammary Health

The role of milking systems is the removal of milk from the udder with a minimal risk to mammary health. However, flaws in the milking procedure (which may be due to inappropriate functioning of the milking system) can cause adverse effects on mammary health, potentially leading to subclinical or clinical mastitis.
There are conflicting results regarding the possible adverse effects of the milking procedure on the quality of milk produced. Some authors have indicated that various wrong settings in the milking system can adversely affect somatic cell counts and total bacterial counts in the bulk-tank milk produced on farms (Table 4). In contrast, other researchers did not report any differences in the bulk-tank milk somatic cell counts, in accordance with the characteristics of the milking system sheep: [42,43,50]; goats: [44,61].
Table 4. Associations of characteristics of milking procedure and milking systems with quality outcomes in bulk-tank milk on dairy sheep or goat farms.
Additionally, incorrect or inappropriate practices during the milking routine contribute to bacterial entrance into mammary glands and impairment of teat defence mechanisms, which lead to higher rates of intramammary infections and consequently higher somatic cell counts in bulk-tank milk [65,66]. During the milking procedure, teat health can be compromised: a higher vacuum level or increased pulsation rate can lead to teat compression [67] and increased pressure on the teat end, leading to local oedema [68]; indeed, lesions in teat tissue were found to be more severe in cases of higher vacuum during milking [69]. Animal overmilking (defined as the point when milk inflow into the teat cistern is lower than outflow through the teat canal [70]) has been described more frequently on goat than on sheep farms [70]. This is the result of a longer milking procedure in the former species, which can exert stronger teatcup compression and vacuum load on teats [7], adversely affecting teat condition. Overmilking can also result from machine- or hand-stripping of the mammary glands of ewes or does [71]; this takes place at the end of the milking procedure for each animal to obtain the residual milk that has not been removed by the machine [72,73,74,75]. This can be observed more often in animals with poor udder conformation, where an increased number of manual interventions (e.g., stripping, handling for teatcup plug-in) is required. For example, ewes with lax suspensory ligaments usually develop horizontally orientated teats, which may lead to milk accumulation within the teat cistern [75,76]. Some associations between udder morphological traits and milking-related variables have been reported by various authors (Table 5).
Table 5. Details of associations between udder morphological traits and milking-related variables in sheep and goat.
The proper milking order to be followed for minimising transmission of mammary pathogens during the milking procedure is as follows: (i) animals in their first lactation period, mastitis-free; (ii) animals in the second and later lactation periods, with low somatic cell counts; (iii) animals with high somatic cell counts; (iv) animals with clinical mastitis [17]. Application of a wrong milking order can be an important contributor to transmission of such pathogens.
Post milking teat disinfection (‘teat dipping’) is not frequently applied on small ruminant farms, despite the protection afforded against bacterial transmission and mammary infection. In Greece, the proportion of small ruminant farms where post-milking teat disinfection is used has been found to range between 14% and 20% [13,85], whilst in Pakistan it was found to be 27% [86]. Omission of this practice has been associated with subclinical mastitis [85] and an increase in total bacterial counts in bulk-tank milk produced on farms [64]. However, the incorrect usage of teat-dipping products post-milking, specifically the application of highly concentrated products, can lead to chapped teats, in which cases the risk of mammary infection increases [66,87], while contaminated dipping solutions may facilitate the occurrence of mastitis by various pathogens (e.g., Pseudomonas aeruginosa [88] or Serratia marcescens [89]).
Nevertheless, overall, machine milking has been associated with lower frequency of mastitis in comparison to hand milking [85]. Marco Melero [90] reported that transmission of staphylococci can occur during milking through the hands of milkers; this aligned well with the findings of Mavrogianni et al. [91], who reported higher staphylococcal colonisation of the teat ducts of ewes on hand milking than on machine milking farms.

5. Cleaning and Maintenance of Milking Systems

An important aspect of proper care of the milking system is the cleaning procedure after the completion of a milking session, which should be performed according to the manufacturer’s guidelines and recommendations. The cleaning procedure includes a combination of chemical, thermal and physical processes that require minimal contact time with the equipment, in order to produce effective results. During the three main phases (i.e., pre-rinse, washing, post-rinse), key cleaning determinants (i.e., water temperature, duration of each phase, detergent concentration and volume, turbulence of circulating water) must be maintained in accordance with appropriate recommendations and settings [92].

5.1. Quality of Water

First, good-quality water should be used for the cleaning [93]. Contaminated water, obtained from improper open water supplies, can contribute to transfer of microbes [94]. Quintana et al. [95] reported the detection of yeasts in milk following contamination from the milking equipment, whilst on dairy cattle farms, coliforms originating from the cleaning water were detected by Perkins et al. [96].
The amount and turbulence of circulating water are important for the physical removal of residues deposited on the equipment [92].

5.2. Temperature of Water

The lowest temperature of water during the pre-rinse phase should be set at 38 °C, which is the melting point of milk fat, aiming to facilitate liquification of milk depositions on the pipelines, as reported in studies performed in dairy cattle farms [97]. Temperatures below 35 °C can lead to bacterial growth in milk (e.g., coliforms and Pseudomonas spp.) and to solidification of milk fat residues on the equipment, as also reported in studies performed in dairy cattle farms [25,98].
The upper limit of the water temperature during the washing phase should be 75 °C, which must not be exceeded, as this can facilitate protein deposition on equipment, leading to irregular findings on teatcup material [25,97,99,100]. In studies conducted in dairy small ruminant farms, the average temperature used for the washing water for milking equipment was found, among all farms in the respective studies, to be 69 °C (Spain) [18] or 70 °C (Greece) [13]. For dairy cattle farms, Reinemann et al. [97] have suggested that the optimal temperature ranges for washing water are 38 °C to 55 °C (pre-rinse phase) and 43 °C to 77 °C (washing phase). In contrast, Keown and Kononoff [101] suggested, also for dairy cattle farms, that the optimal temperature range for washing water is 60 °C to 73 °C (washing phase).
Notably, Lianou et al. [102] reported that when the water temperature was below 70 °C or over 90 °C, there was a significant increase in biofilm-forming staphylococci in the bulk-tank milk; these bacteria may lead to potential problems in dairy processing plants, as they adhere onto stainless steel surfaces [103] and can be further transferred to cheese and other dairy products [104].

5.3. Use of Detergents and Disinfectants

With regard to use of detergents during the cleaning process, alternations between alkaline and acidic detergents should be applied periodically. Alkaline detergents are effective at removing organic residues, including milk proteins and fats; these detergents act better in situations with increased temperature and lower water hardness. A study conducted in dairy cattle farms indicated that acid detergents could be used for the removal of mineral deposits from water and milk and for the elimination of milk stone [97]. Sodium hypochlorite, which is often contained in liquid detergents, can lead to trichloromethane residues in the bulk-tank milk [105]. In view of this, Gleeson et al. [106] suggested the use of peracetic acid as an alternative option.
The frequency of acid rinsing of milking parlours after the completion of the milking session is determined by the quality of water used for cleaning. Notably, the frequent use of disinfectants has been associated with the development of antibiotic resistance [107,108] and teatcup material deterioration [95]. However, the omission of the use of acid solutions, especially in areas with hard water, can lead to milk stone appearance on the pipes of milking systems [25]. Increased water hardness may hinder effectiveness of cleaning chemicals and can favour development of deposits on parts of milking systems on dairy cattle farms [109,110]; for example, an association has been reported with increased water hardness and higher total bacterial counts in the bulk-tank milk [110].
The application of faulty post-milking cleaning that leaves dirty teatcups with milk residues can contribute to bacterial transmission among milked ewes [99], as it is a suitable micro-environment for staphylococcal growth. Indeed, staphylococcal dissemination occurs mainly through contaminated milking equipment, whereon these bacteria can grow, multiply and disseminate quickly [111], and are thereafter transferred to animals milked from these contaminated teatcups [25]. The parts of milking equipment where pipelines join are considered to have higher number of bacteria [112] and thus require particular attention during the cleaning process.
Overall, the strict application of the washing protocol (including the consistent availability of hot water) is considered a challenging point on dairy cattle farms [113].

5.4. Maintenance Schedule and Teatcup Replacement

The timely and appropriate servicing of the milking system is also important. Lianou et al. [44] reported that increased intervals between maintenance visits and the delayed servicing of milking systems have been associated with higher somatic cell counts produced on these farms. In this respect, it is noted that the use of unsuitable or worn-out teatcups can be risk factors for intramammary infections, due to causing lesions in teats (e.g., congestion and oedema) and compromising defence mechanisms. Teats too short or too long for a specific teatcup might not have the proper fit and compression during milking. Use of damaged or overused teatcups, or of teatcups that are improperly positioned or not designed for the animal species to be milked, can also lead to lesions on teats [48].

6. Future Directions

Technological advances in milking equipment can offer opportunities for enhancing animal welfare, milk quality and profitability on dairy small ruminant farms. Future developments are expected to make these more easily accessible and cost-effective for farmers, thus facilitating wider adoption and improved flock or herd management.
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 [114]. Use of automations in the milking systems of dairy sheep or goat farms will help farmers to improve farm efficiency, to save time and labour costs, to enhance the health status of flocks or herds and to obtain data to be used in farm health management decision making [53].
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. This can be extended to include early detection of subclinical mastitis in a farm’s animals. Moreover, the introduction of automatic system flushing in-between animals during the milking procedure [57] can contribute to breaking chains of potential bacterial transfer and reducing animal infections during milking. A device that can improve the efficacy of the milking procedure and reduce the necessary time is the addition of automatic removal of clusters from ewes or does.
These technologies were developed initially for the dairy cattle industry and are being evaluated for potential use on small ruminant farms. Nevertheless, this may not be an easy and straightforward process. Indeed, there are differences between cattle and small ruminant farming. A primary one is that these are different animal species; significantly, there is a large diversity of breeds among dairy sheep and goats, a notable consequence of which is the broad anatomic variance among them at udder and teat level. Other differences include the farmers’ demographic and educational characteristics, and a reluctance has been reported among small ruminant farmers to adopt new technologies [115]. Additionally, there are also differences in the logistics and finances of each industry. Therefore, potential use of these technologies could be a gradual and more conservative process than in the cattle industry.

7. Conclusions

A variety of milking systems are available for use on dairy sheep and goat farms. Proper regulation of the milking system and correct monitoring of milking equipment are essential, as technical flaws or suboptimal function can significantly contribute to reducing the quality of milk produced on farms and also increase the risk of intramammary infections. Although machine milking has certainly contributed to improved efficiency, milk quality and labour conditions, flaws in system function may adversely affect mammary health. Relevant technological advances will be applied in the future on dairy small ruminant farms, although the pace of their integration will be cautious and slower than on cattle farms.

Author Contributions

Conceptualization, D.V.L. and N.G.C.V.; writing—original draft preparation, D.V.L., G.C.F., D.T.L. and N.G.C.V.; writing—review and editing, D.V.L., G.C.F., V.S.M., D.T.L., V.S. and N.G.C.V.; supervision, V.S.M., V.S. and N.G.C.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analysed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Pulina, G.; Milán, M.J.; Lavín, M.P.; Theodoridis, A.; Morin, E.; Capote, J.; Thomas, D.L.; Francesconi, A.H.D.; Caja, G. Current production trends, farm structures, and economics of the dairy sheep and goat sectors. J. Dairy Sci. 2018, 101, 6715–6729. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  2. Caja, G. L’ évolution des systèmes de production ovin-lait dans le Bassin Méditerranéen. Options Mediterr. Ser. A Semin. Mediterr. 1990, 12, 31–38. [Google Scholar]
  3. Wang, X.; Shen, W.; Wu, P.; Wang, C.; Li, J.; Wang, D.; Yue, W. How food consumption trends change the direction of sheep breeding in China. Animals 2024, 14, 3047. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  4. Pradyut, D.; Shambhavi, R.P.; Rani, A. Importance of goat and sheep rearing in the rising Indian economy. Bio Vet. Innov. Magaz. 2025, 2, 21–24. [Google Scholar]
  5. Marnet, P.G.; Negrao, J.A.; Labussière, J. Oxytocin release and milk ejection parameters during milking of dairy ewes in and out of natural season of lactation. Small Rumin. Res. 1998, 28, 183–191. [Google Scholar] [CrossRef] [Scilit]
  6. Marnet, P.G.; McKusick, B.C. Regulation of milk ejection and milkability in small ruminants. Livest. Prod. Sci. 2001, 70, 125–133. [Google Scholar] [CrossRef] [Scilit]
  7. Dzidic, A.; Rovai, M.; Poulet, J.L.; Leclerc, M.; Marnet, P.G. Milking routines and cluster detachment levels in small ruminants. Animal 2019, 13, 86–93. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  8. Akam, D.N. Technical development of milking machines. BSAP Occas. Publ. 1980, 2, 55–64. [Google Scholar] [CrossRef] [Scilit]
  9. Currier, R.W.; Widness, J.A. A brief history of milk hygiene and its impact on infant mortality from 1875 to 1925 and implications for today: A review. J. Food Prot. 2018, 81, 1713–1722. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  10. Lagriffoul, G.; Morini, E.; Astruc, J.M.; Bocquier, F.; Boissieu, C.; Hassoun, P.; Legarto, J.; Marnet, P.G.; Poulet, J.L.; Barillet, F. Panorama de la production de lait de brebis en France et son évolution depuis 50 ans. INRAE Prod. Anim. 2016, 29, 7–18. [Google Scholar]
  11. Skapetas, B.; Laga, V.; Katanos, I.; Bampidis, V.; Nistor, E.; Nitas, D.; Aggelopoulos, S.; Nistor, G.H. Milking parlors’ throughput for dairy sheep and factors that influence it. Zooteh. Biotehnol. 2009, 42, 505–510. [Google Scholar]
  12. Groher, T.; Heitkämper, K.; Umstätter, C. Digital technology adoption in livestock production with a special focus on ruminant farming. Animal 2020, 14, 2404–2413. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  13. Lianou, D.T.; Michael, C.K.; Fthenakis, G.C. Data on mapping 444 dairy small ruminant farms during a countrywide investigation performed in Greece. Animals 2023, 13, 2044. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  14. Milán, M.J.; Caja, G.; González-González, R.; Fernández-Pérez, A.M.; Such, X. Structure and performance of Awassi and Assaf dairy sheep farms in northwestern Spain. J. Dairy Sci. 2011, 94, 771–784. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  15. Gökdai, A.; Sakarya, E.; Contiero, B.; Gottardo, F. Milking characteristics, hygiene and management practices in Saanen goat farms: A case of Canakkale province, Turkey. Ital. J. Anim. Sci. 2020, 19, 213–221. [Google Scholar] [CrossRef] [Scilit]
  16. Chambers, G.; Laven, R. A profile of New Zealand dairy sheep farms in the 2022–2023 Season. N. Z. J. Agric. Res. 2026, 69, e70049. [Google Scholar] [CrossRef] [Scilit]
  17. Reinemann, D.J. Milking machines and milking parlors. In Handbook of Farm, Dairy and Food Machinery Engineering; Kutz, M., Ed.; Academic Press: London, UK, 2019; pp. 225–243. [Google Scholar]
  18. Gonzalo, C.; Juárez, M.T.; García-Jimeno, M.C.; De la Fuente, L.F. Bulk tank somatic cell count and total bacterial count are affected by target practices and milking machine features in dairy sheep flocks in Castilla y León region, Spain. Small Rumin. Res. 2019, 178, 22–29. [Google Scholar] [CrossRef] [Scilit]
  19. Anzuino, K.; Bell, N.J.; Bazeley, K.J.; Nicol, C.J. Assessment of welfare on 24 commercial UK dairy goat farms based on direct observations. Vet. Rec. 2010, 167, 774–780. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  20. Turini, L.; Foggi, G.; Gasparoni, E.; Vichi, F.; Ribuffi, A.; Mele, M.; Bertelloni, F. Influence of management and farm characteristics on microbiological quality and physico-chemical features of sheep milk produced in Tuscany farms (Italy). Small Rumin. Res. 2022, 217, 106847. [Google Scholar] [CrossRef] [Scilit]
  21. Riveiro, J.A.; Mantecón, A.R.; Ramón Álvarez, C.; Lavín, P. A typological characterization of dairy Assaf breed sheep farms at NW of Spain based on structural factor. Agric. Syst. 2013, 120, 27–37. [Google Scholar] [CrossRef] [Scilit]
  22. Deming, J.; Gleeson, D.; O’Dwyer, T.; Kinsella, J.; O’Brien, B. Measuring labor input on pasture-based dairy farms using a smartphone. J. Dairy Sci. 2018, 101, 9527–9543. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  23. Kathiriya, J.B.; Sindhi, S.H.; Bhedi, K.R.; Suthar, A.P. Milking premises, equipment, and routine-based clean milk production. In Handbook of Milk Production, Quality and Nutrition; Rana, T., Ed.; Academic Press: London, UK, 2025; Volume 1, pp. 381–391. [Google Scholar]
  24. Andrews, J.; Davison, T. Dairy farm layout and design: Building and yard design, warm climates. In Encyclopedia of Dairy Sciences; Fuquay, J.W., Ed.; Academic Press: London, UK, 2002; pp. 13–28. [Google Scholar]
  25. Blowey, R.; Edmondson, P. Mastitis Control in Dairy Herds, 2nd ed.; CAB International: Wallingford, UK, 2010. [Google Scholar]
  26. Romero, G.; Peris, C.; Fthenakis, G.C.; Diaz, J.R. Effects of machine milking on udder health in dairy ewes. Small Rumin. Res. 2020, 188, 106096. [Google Scholar] [CrossRef] [Scilit]
  27. Kaskous, S.; Pfaffl, M.W. Milking machine settings and liner design are important to improve milking efficiency and lactating animal welfare—Technical note. AgriEngineering 2023, 5, 1314–1326. [Google Scholar] [CrossRef] [Scilit]
  28. Marnet, P.G.; Combaud, J.F.; Le Du, J.; Dano, Y. Effect of pulsation rate and vacuum level on oxytocin release, milk parameters and teat end reaction. In Proceedings of the Symposium on Milk Synthesis, Secretion and Removal in Ruminants, Bern, Switzerland, 15 April 1996; p. 26. [Google Scholar]
  29. Sinapis, E.; Marnet, P.G.; Skapetas, B.; Hatziminaoglou, I. Vacuum level for opening the teat sphincter and the change of the teat end wall thickness during the machine milking of mountainous Greek breed (Boutsiko) ewes. Small Rumin. Res. 2007, 69, 136–143. [Google Scholar] [CrossRef] [Scilit]
  30. Kaskous, S. Laboratory tests to optimize the milking machine settings with air inlet teat cups for sheep and goats. Dairy 2022, 3, 29–46. [Google Scholar] [CrossRef] [Scilit]
  31. Carrotte, G. La normalisation des machines a traire pour chèvres et brebis. In Proceedings of the 3th Symposium Internacional de Ordeño Mecánico de Pequeños Rumiantes, Valladolid, Spain, 16–20 May 1983; pp. 367–379. [Google Scholar]
  32. Le Du, L. La traite mécanique des chèvres. INRAE Prod. Anim. 1989, 2, 31–38. [Google Scholar] [CrossRef] [Scilit]
  33. Sinapis, E.; Hatziminaoglou, I.; Marnet, P.G.; Abas, Z.; Bolou, A. Influence of vacuum level, pulsation rate and pulsator ratio on machine milking efficiency in local Greek goats. Livest. Prod. Sci. 2000, 64, 175–181. [Google Scholar] [CrossRef] [Scilit]
  34. Zucali, M.; Tamburini, A.; Sandrucci, A.; Gislon, G.; Bava, L. Effect of vacuum level on milk flow and vacuum stability in Alpine goat milking. Small Rumin. Res. 2019, 171, 1–7. [Google Scholar] [CrossRef] [Scilit]
  35. Fernández, N.; Martí, J.V.; Rodríguez, M.; Peris, C.; Balasch, S. Machine milking parameters for Murciano-Granadina breed goats. J. Dairy Sci. 2020, 103, 507–513. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  36. Caria, M.; Boselli, C.; Calvo, A.; Grande, S.; Todde, G. Influence of milking units and working vacuum level on the mechanical milking of goats. Anim. Sci. J. 2021, 92, e13667. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  37. Romero, G.; Bueso-Ródenas, J.; Alejandro, M.; Moya, F.; Díaz, J.R. Effect of vacuum level and pulsation parameters on milking efficiency and animal welfare of Murciano-Granadina goats milked in mid-line and low-line milking machines. Animals 2022, 12, 40. [Google Scholar]
  38. Bueso-Ródenas, J.; Romero, G.; Roca, A.; Moya, F.; Alejandro, M.; Díaz, J.R. Optimal parameters to milk Murciano-Granadina goats in mid and low-line milking parlours. Animals 2023, 13, 1155. [Google Scholar] [PubMed]
  39. Rooke, J.A.; Robinson, J.J.; Arthur, J.R. Effects of vitamin E and selenium on the performance and immune status of ewes and lambs. J. Agric. Sci. 2004, 142, 253–262. [Google Scholar] [CrossRef] [Scilit]
  40. Mamatsios, K.; Karatzia, M.A.; Manessis, G.; Kasapidou, E.; Bossis, I.; Basdagianni, Z. Effect of milking vacuum and the supplementation of vitamin E and Se in milk quantity, quality, and hygiene of mammary gland in mountainous Greek sheep. Animals 2023, 13, 3400. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  41. ISO 3918:2007; Milking Machine Installations—Vocabulary. International Organization for Standardization (ISO): Geneva, Switzerland, 2007.
  42. Díaz, J.R.; Peris, C.; Rodríguez, M.; Molina, M.P.; Fernández, N. Effect of milking pipeline height on machine milking efficiency and milk quality in sheep. J. Dairy Sci. 2004, 87, 1675–1683. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  43. Lianou, D.T.; Michael, C.K.; Vasileiou, N.G.C.; Petinaki, E.; Cripps, P.J.; Tsilipounidaki, K.; Katsafadou, A.I.; Politis, A.P.; Kordalis, N.G.; Ioannidi, K.S.; et al. Extensive countrywide field investigation of somatic cell counts and total bacterial counts in bulk-tank raw milk in sheep flocks in Greece. Foods 2021, 10, 268. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  44. Lianou, D.T.; Michael, C.K.; Vasileiou, N.G.C.; Petinaki, E.; Cripps, P.J.; Tsilipounidaki, K.; Katsafadou, A.I.; Politis, A.P.; Kordalis, N.G.; Ioannidi, K.S.; et al. Extensive countrywide field investigation of somatic cell counts and total bacterial counts in bulk tank raw milk in goat herds in Greece. J. Dairy Res. 2021, 88, 307–313. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  45. Osterås, O.; Lund, A. The correlation between milk flow, vacuum fluctuations and decrease in vacuum in the long milk tube at the claw in different milking machines. An introductory examination. Nord. Vet. Med. 1980, 32, 281–290. [Google Scholar] [PubMed]
  46. Ambord, S.; Bruckmaier, R.M. Milk flow-dependent vacuum loss in high-line milking systems: Effects on milking characteristics and teat tissue condition. J. Dairy Sci. 2010, 93, 3588–3594. [Google Scholar] [PubMed]
  47. Berger, Y.M. Milking equipment for dairy ewes. In Proceedings of the 7th Great Lakes Dairy Sheep Symposium, Eau Claire, WI, USA, 1–3 November 2001; pp. 9–16. [Google Scholar]
  48. Alejandro, M.; Roca, A.; Romero, G.; Díaz, J.R. Effects of overmilking and liner type and characteristics on teat tissue in small ruminants. J. Dairy Res. 2014, 81, 215–222. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  49. Contreras, A.; Luengo, C.; Sánchez, A.; Corrales, J.C. The role of intramammary pathogens in dairy goats. Livest. Prod. Sci. 2003, 79, 273–283. [Google Scholar] [CrossRef] [Scilit]
  50. Peris, C.; Díaz, J.R.; Balasch, S.; Beltrán, M.C.; Molina, M.P.; Fernández, N. Influence of vacuum level and overmilking on udder health and teat thickness changes in dairy ewes. J. Dairy Sci. 2003, 86, 3891–3898. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  51. Rasmussen, M.D. Influence of switch level of automatic cluster removers on milking performance and udder health. J. Dairy Res. 1993, 60, 287–297. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  52. Bueso-Ródenas, J.; Arias, R.; Rodríguez, A.M.; Romero, G.; Díaz, J.R. Effect of the settings of two automatic cluster removers (ACRs) on the milking efficiency of Manchega ewes. Small Rumin. Res. 2014, 120, 224–230. [Google Scholar] [CrossRef] [Scilit]
  53. Alejandro, M. Automation devices in sheep and goat machine milking. Small Rumin. Res. 2016, 142, 48–50. [Google Scholar] [CrossRef] [Scilit]
  54. Norberg, E. Electrical conductivity of milk as a phenotypic and genetic indicator of bovine mastitis: A review. Livest. Prod. Sci. 2005, 96, 129–139. [Google Scholar] [CrossRef] [Scilit]
  55. International Committee for Animal Recording (ICAR). ICAR Recording Guidelines; ICAR: Rome, Italy, 2014; Available online: https://pecuaria.pt/docs/Guidelines_2014.pdf (accessed on 18 February 2026).
  56. Ait-Saidi, A.; Caja, G.; Carné, S.; Salama, A.A.K.; Ghirardi, J.J. Comparison of manual versus semiautomatic milk recording systems in dairy goats. J. Dairy Sci. 2008, 91, 1438–1442. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  57. Skarbye, A.P.; Thomsen, P.T.; Krogh, M.A.; Svennesen, L.; Østergaard, S. Effect of automatic cluster flushing on the concentration of Staphylococcus aureus in teat cup liners. J. Dairy Sci. 2020, 103, 5431–5439. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  58. Karch, H.; Worstorff, H.; Prediger, A.; Reinhardt, F. Stimulation capacity of the vibration system with special regard to the type of inflation. Milchwissenschaft 1988, 43, 18–21. [Google Scholar]
  59. Basic, Z.; Dzidic, A.; Kostelic, A. The effect of prestimulation on milking characteristics during machine milking of goat. Mljekarstvo 2009, 59, 83–87. [Google Scholar]
  60. Bueso-Ródenas, J.; Alejandro, M.; Romero, G.; Roca, A.; Ramón Díaz, J. Effects of automatic prestimulation in the milking of Manchega sheep. Livest. Sci. 2022, 255, 104813. [Google Scholar] [CrossRef] [Scilit]
  61. Manzur, A.; Díaz, J.R.; Mehdid, A.; Fernández, N.; Peris, C. Effect of mid-line or low-line milking systems on milking characteristics in goats. J. Dairy Res. 2012, 79, 375–382. [Google Scholar] [PubMed]
  62. Zamiri, M.J.; Qotbi, A.; Izadifard, J. Effect of daily oxytocin injection on milk yield and lactation length in sheep. Small Rumin. Res. 2001, 40, 179–185. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  63. Manzur, A.; Díaz, J.R.; Fernández, N.; Balasch, S.; Peris, C. Teatcups with automatic valves in machine milking of goats. J. Dairy Res. 2017, 85, 64–69. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  64. Liagka, D.V.; Fthenakis, G.C.; Kalonaki, S.N.; Dimoveli, K.S.; Lianou, D.T.; Mavrogianni, V.S.; Michael, C.K.; Caroprese, M.; Spyrou, V.; Vasileiou, N.G.C. Machine-milking practices, animal welfare-related reactions and quality of milk produced in dairy sheep farms. Animals 2025, 15, 3078. [Google Scholar] [PubMed]
  65. Katsafadou, A.I.; Tsangaris, G.T.; Anagnostopoulos, A.K.; Billinis, C.; Barbagianni, M.S.; Vasileiou, N.G.C.; Spanos, S.A.; Mavrogianni, V.S.; Fthenakis, G.C. Differential quantitative proteomics study of experimental Mannheimia haemolytica mastitis in sheep. J. Proteom. 2019, 205, 103393. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  66. Vasileiou, N.G.C.; Mavrogianni, V.S.; Petinaki, E.; Fthenakis, G.C. Predisposing factors for bacterial mastitis in ewes. Reprod. Domest. Anim. 2019, 54, 1424–1431. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  67. Mein, G.A.; Williams, D.M.D.; Reinemann, D.J. Effect of milking on teat end hyperkeratosis: 1. Mechanical forced applied by the teatcup liner and responses of the teat. In Proceedings of the 42nd annual meeting of the National Mastitis Council, Fort Worth, TX, USA, 26–29 January 2003. [Google Scholar]
  68. Hamann, J.; Mein, G.A. Measurement of machine-induced changes in thickness of the bovine teat. J. Dairy Res. 1990, 57, 495–505. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  69. Hamann, J.; Mein, G.A.; Wetzel, S. Teat tissue reactions to milking: Effects of vacuum level. J. Dairy Sci. 1993, 76, 1040–1046. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  70. Rasmussen, M.D. Overmilking and teat condition. In Proceedings of the NMC Annual Meeting, Charlotte, NC, USA, 1–4 February 2004. [Google Scholar]
  71. McKusick, B.C.; Thomas, D.L.; Berger, Y.M. Effect of omission of machine stripping on milk production and parlor throughput in East Friesian dairy ewes. J. Dairy Sci. 2003, 86, 680–687. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  72. Peris, S.; Caja, G.; Such, X. Relationships between udder and milking traits in Murciano-Granadina dairy goats. Small Rumin. Res. 1999, 33, 171–179. [Google Scholar] [CrossRef] [Scilit]
  73. Macuhova, L.; Tancin, V.; Uhrincat, M.; Macuhova, J. The level of udder emptying and milk flow stability in Tsigai, improves Valachian and Lacaune ewes during machine milking. Czech J. Anim. Sci. 2012, 57, 240–247. [Google Scholar] [CrossRef] [Scilit]
  74. Makovicky, P.; Nagy, M.; Poracova, J.; Konecna, M.; Margetin, M.; Milerski, M.; Makovicky, P. Udder morphology and milk yield of East Friesian sheep. J. Indon. Trop. Anim. Agric. 2024, 49, 135–144. [Google Scholar] [CrossRef] [Scilit]
  75. Chambers, G.; Lawrence, K.; Ridler, A.; Laven, R. Teat and udder morphology and pathology of New Zealand dairy ewes. N. Z. Vet. J. 2025, 73, 246–259. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  76. Casu, S.; Pernazza, I.; Carta, A. Feasibility of a linear scoring method of udder morphology for the selection scheme of Sardinian sheep. J. Dairy Sci. 2006, 89, 2200–2209. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  77. Casu, S.; Sechi, S.; Salaris, S.L.; Carta, A. Phenotypic and genetic relationships between udder morphology and udder health in dairy ewes. Small Rumin. Res. 2010, 88, 77–83. [Google Scholar] [CrossRef] [Scilit]
  78. Vrdoljak, J.; Prpic, Z.; Samarzija, D.; Vnucec, I.; Konjacic, M.; Kelava Ugarkovic, N. Udder morphology, milk production and udder health in small ruminants. Mljekarstvo 2020, 70, 75–84. [Google Scholar]
  79. Marie-Etancelin, C.; Manfredi, E.; Aurel, M.R.; Pailler, F.; Arhainx, J.; Ricard, E.; Lagriffoul, G.; Guillouet, P.; Bibe, B.; Barillet, F. Genetic analysis of milking ability in Lacaune dairy ewes. Genet. Sel. Evol. 2006, 38, 183–200. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  80. Gelasakis, A.I.; Arsenos, G.; Valergakis, G.E.; Oikonomou, G.; Kiossis, E.; Fthenakis, G.C. Study of factors affecting udder traits and assessment of their interrelationships with milking efficiency in Chios breed ewes. Small Rumin. Res. 2012, 103, 232–239. [Google Scholar] [CrossRef] [Scilit]
  81. Legarra, A.; Ugarte, E. Genetic parameters of udder traits, somatic cell score, and milk yield in Latxa sheep. J. Dairy Sci. 2005, 88, 2238–2245. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  82. Fernández, G.; Baro, J.A.; de la Fuente, L.F.; San Primitivo, F. Genetic parameters for linear udder traits of dairy ewes. J. Dairy Sci. 1997, 80, 601–605. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  83. Labussière, J. Review of physiological and anatomical factors influencing the milking ability of ewes and the organization of milking. Livest. Prod. Sci. 1988, 18, 253–274. [Google Scholar] [CrossRef] [Scilit]
  84. Dzidic, A.; Kaps, M.; Bruckmaier, R.M. Machine milking of Istrian dairy crossbreed ewes: Udder morphology and milking characteristics. Small Rumin. Res. 2004, 55, 183–189. [Google Scholar] [CrossRef] [Scilit]
  85. Vasileiou, N.G.C.; Cripps, P.J.; Ioannidi, K.S.; Chatzopoulos, D.C.; Gougoulis, D.A.; Sarrou, S.; Orfanou, D.C.; Politis, A.P.; Calvo Gonzalez-Valerio, T.; Argyros, S.; et al. Extensive countrywide field investigation of subclinical mastitis in sheep in Greece. J. Dairy Sci. 2018, 101, 7297–7310. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  86. Javed, M.U.; Ijaz, M.; Durrani, A.Z.; Ali, M.M. On-farm epidemiology, virulence profiling, and molecular characterization of methicillin-resistant Staphylococcus aureus at goat farms. Microb. Pathog. 2023, 185, 106456. [Google Scholar] [PubMed]
  87. Fragkou, I.A.; Mavrogianni, V.S.; Cripps, P.J.; Gougoulis, D.A.; Fthenakis, G.C. The bacterial flora in the teat duct of ewes can protect against and can cause mastitis. Vet. Res. 2007, 38, 525–545. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  88. Kelly, E.J.; Wilson, D.J. Pseudomonas aeruginosa mastitis in two goats associated with an essential oil–based teat dip. J. Vet. Diagn. Investig. 2016, 28, 760–762. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  89. Tzora, A.; Fthenakis, G.C. Mastitis in dairy ewes associated with Serratia macrescens. Small Rumin. Res. 1998, 29, 125–126. [Google Scholar] [CrossRef] [Scilit]
  90. Marco Melero, J.C. Mastitis in Laxta Breed Sheep: Epidemiology, Diagnosis and Control. Ph.D. Thesis, University of Zaragoza, Zaragoza, Spain, 1994. [Google Scholar]
  91. Mavrogianni, V.S.; Cripps, P.J.; Tzora, A.; Skoufos, I.; Fthenakis, G.C. Effects of hand milking on the bacterial flora of mammary gland and teat duct of ewes. J. Dairy Res. 2006, 73, 353–356. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  92. Bava, L.; Zucali, M.; Sandrucci, A.; Brasca, M.; Vanoni, L.; Zanini, L.; Tamburini, A. Effect of cleaning procedure and hygienic condition of milking equipment on bacterial count of bulk tank milk. J. Dairy Res. 2011, 78, 211–219. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  93. Arsenopoulos, K.V.; Diakidi, D.S.; Katsarou, E.I.; Michalopoulou, E.; Papadopoulos, E.; O’Doherty, J.; Vlasiou, M.; Fthenakis, G.C. Water in livestock and poultry nutrition: A review on consumption and quality. Water 2026, 18, 1072. [Google Scholar] [CrossRef] [Scilit]
  94. Amenu, K.; Shitu, D.; Abera, M. Microbial contamination of water intended for milk container washing in smallholder dairy farming and milk retailing houses in southern Ethiopia. SpringerPlus 2016, 5, 1195. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  95. Quintana, A.R.; Perea, J.M.; García-Béjar, B.; Jiménez, L.; Garzón, A.; Arias, R. Dominant yeast community in raw sheep’s milk and potential transfers of yeast species in relation to farming practices. Animals 2020, 10, 906. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  96. Perkins, N.R.; Kelton, D.F.; Hand, K.J.; MacNaughton, G.; Berke, O.; Leslie, K.E. An analysis of the relationship between bulk tank milk quality and wash water quality on dairy farms in Ontario, Canada. J. Dairy Sci. 2009, 92, 3714–3722. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  97. Reinemann, D.J.; Rasmussen, M.D. Review of practices for cleaning and sanitation of milking machines. In Proceedings of the Pacific Dairy Congress, Nagano, Japan, 14 November 2000. [Google Scholar]
  98. Murphy, S.C.; Boor, K.J. Trouble-shooting sources and causes of high bacteria counts in raw milk. Dairy Food Environ. Sanit. 2000, 20, 606–611. [Google Scholar]
  99. Michael, C.K.; Lianou, D.T.; Mavrogianni, V.S.; Petinaki, E.; Fthenakis, G.C. Irregular findings on teatcups in milking parlours in sheep and goat farms and potential predictors. Animals 2023, 13, 3004. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  100. DeLaval. Temperature is a Critical Element in Any Cleaning Process. 2024. Available online: https://www.delaval.com/en-gb/knowledge-hub/educational-content/get-milk-ready/temperature-is-a-critical-element-in-any-cleaning-process/ (accessed on 18 February 2026).
  101. Keown, J.F.; Kononoff, P.J. Producing Milk with a Low Bacteria Count; University of Nebraska-Lincoln Extension: Lincoln, NE, USA, 2006. [Google Scholar]
  102. Lianou, D.T.; Michael, C.K.; Solomakos, N.; Vasileiou, N.G.C.; Petinaki, E.; Mavrogianni, V.S.; Tzora, A.; Voidarou, C.; Fthenakis, G.C. Isolation of biofilm-forming staphylococci from the bulk-tank milk of small ruminant farms in Greece. Foods 2023, 12, 2836. [Google Scholar] [PubMed]
  103. Flint, S.H.; Bremer, P.J.; Brooks, J.D. Biofilms in dairy manufacturing plant-description, current concerns and methods of control. Biofouling 1997, 11, 81–97. [Google Scholar]
  104. Liu, X.; Yao, H.; Zhao, X.; Ge, C. Biofilm formation and control of foodborne pathogenic bacteria. Molecules 2023, 28, 2432. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  105. Gleeson, D.; O’Brien, B.; Flynn, J.; O’Callaghan, E.; Galli, F. Effect of pre-milking teat preparation procedures on the microbial count on teats prior to cluster application. Ir. Vet. J. 2009, 62, 461–467. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  106. Gleeson, D.; O’Brien, B.; Jordan, K. The effect of using nonchlorine products for cleaning and sanitising milking equipment on bacterial numbers and residues in milk. Int. J. Dairy Technol. 2013, 66, 182–188. [Google Scholar] [CrossRef] [Scilit]
  107. Templeton, M.R.; Oddy, F.; Leung, W.; Rogers, M. Chlorine and UV disinfection of ampicillin-resistant and trimethoprim-resistant Escherichia coli. Can. J. Civ. Eng. 2009, 36, 889–894. [Google Scholar]
  108. Lianou, D.T.; Petinaki, E.; Cripps, P.J.; Gougoulis, D.A.; Michael, C.K.; Tsilipounidaki, K.; Skoulakis, A.; Katsafadou, A.I.; Vasileiou, N.G.C.; Giannoulis, T.; et al. Prevalence, patterns, association with biofilm formation, effects on milk quality and risk factors for antibiotic resistance of staphylococci from bulk-tank milk of goat herds. Antibiotics 2021, 10, 1225. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  109. Cords, B.R.; Dychdala, G.R.; Richter, F.L. Cleaning and sanitizing in milk production and processing. In Applied Dairy Microbiology, 2nd ed.; Marth, E.H., Steele, J.L., Eds.; CRC Press: Boca Raton, FL, USA, 2001; pp. 567–606. [Google Scholar]
  110. López-Carlos, M.A.; Hernández-Briano, P.; Aguilera-Soto, J.I.; Carrillo-Muro, O.; Medina-Flores, C.A.; Méndez-Llorente, F.; Arechiga-Flores, C.F. Effect of milking hygiene, herd size, water hardness and temperature-humidity index on milk quality of dairy farms. Rev. Bras. Zootec. 2023, 52, e20210189. [Google Scholar] [CrossRef] [Scilit]
  111. Katsarou, E.I.; Katsafadou, A.I.; Karakasidis, T.; Chatzopoulos, D.C.; Vasileiou, N.G.C.; Lianou, D.T.; Mavrogianni, V.S.; Petinaki, E.; Fthenakis, G.C. Growth of Staphylococcus epidermidis on the surface of teatcups from milking parlours. Microorganisms 2021, 9, 852. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  112. Richard, J. Bacteriological examination of pipeline milking machines by rinsing the entire system. J. Appl. Bacteriol. 1981, 50, 433–442. [Google Scholar] [CrossRef] [Scilit]
  113. Pantoja, J.C.F.; Reinemann, D.J.; Ruegg, P.L. Factors associated with coliform count in unpasteurized bulk milk. J. Dairy Sci. 2011, 94, 2680–2691. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  114. Kichamu, N.; Astuti, P.K.; Kusza, S. Smart solutions for small ruminants: The role of artificial intelligence (AI) and precision livestock farming in smallholder goat husbandry. AgriEngineering 2026, 8, 103. [Google Scholar] [CrossRef] [Scilit]
  115. Martínez-García, C.G.; Dorward, P.; Rehman, T. Factors influencing adoption of crop and forage related and animal husbandry technologies by small-scale dairy farmers in Central Mexico. Exp. Agric. 2016, 52, 87–109. [Google Scholar]
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