ABSTRACT
Pasture management is an important topic for dairy farms with grazing systems. Herbage mass (HM) is a key measure, and estimations of HM content in pastures allow for informed decisions in pasture management. A common method of estimating the HM content in pastures requires manually collected grass samples, which are subjected to laboratory analysis to determine the dry matter (DM) content. However, in recent years, new methods have emerged that generate digital data and aim to expedite, facilitate and improve the measurement of HM. This study aimed to evaluate the accuracy of a rising plate meter (RPM) tool in a practical setting to estimate HM in Austrian pastures. With this study, we also attempted to answer whether the tool is ready for use by farmers with its default settings. This study was conducted on the teaching and research farm of the University of Veterinary Medicine in Vienna, Austria. Data were collected from May to October 2021 in five different pastures. To evaluate the accuracy of the RPM tool, grass samples were collected and dried in an oven to extract their DM and calculate the HM. The HM obtained from the grass samples was used as the gold standard for this study. In total, 3796 RPM measurements and 203 grass samples yielding 49 measurement points were used for the evaluation of the RPM tool. Despite the differences in pasture composition, the averaged HM from the RPM tool showed a strong correlation with the gold standard (R2 = 0.73, rp = 0.86, RMSE = 517.86, CV = 33.67%). However, the results may not be good enough to justify the use of the tool, because simulations in economic studies suggest that the error of prediction should be lower than 15%. Furthermore, in some pastures, the RPM obtained poor results, indicating an additional need for pasture-specific calibrations, which complicates the use of the RPM tool.
Subject(s)
Bone Plates , Laboratories , Austria , Calibration , Farms , PoaceaeABSTRACT
OBJECTIVES: The use of digital technologies is increasing in modern livestock farming and veterinary practice. The aim of this online survey among Austrian cattle practitioners was to increase knowledge concerning the acceptance and use of digital (sensor) technologies. MATERIAL AND METHODS: The link to the survey was sent by the Austrian animal health services (TGD) via email to the registered veterinarians. A total of 115 veterinarians participated in the survey. RESULTS: Most of the participants were convinced that digitalisation associated with improvements in their profession in terms of economy, time-savings, collaboration with colleagues and working efficiency. The agreement ranged between 60% and 79%. On the other hand, concerns regarding data security (41%) were also raised. When asked whether they would recommend sensor systems to farmers, approximately 45% of the participants answered yes, 36% declined, 19% were undecided. From a list of specified sensors and technologies, monitoring by cameras (68%), automatic concentrate feeding systems (63%) and activity sensors (61%) were considered as beneficial for animal health. Concerning an assessment of the animals' health status the majority of respondents (58%) would trust conventional methods more than sensor systems. Data provided by farmers is mainly used to improve the understanding of patients' disease progression (67%) as well as to comply with documentation requirements (28%). In addition, we asked whether the participants could imagine running a telemedicine practice. On a scale ranging from 1 to 100, initial agreement amounted to a median of 20 which then decreased to a median of 4 in the repeated question at the end of the questionnaire. CONCLUSIONS: The veterinarians saw advantages in using digital technologies both in their daily work and to improve animal health management. In some areas, however, clear reservations were evident . A telemedical offer does not seem to be relevant for the majority of the participants in the context of the description provided. CLINICAL RELEVANCE: The results are intended to help identify areas in which more information is needed for veterinarians and to capture a picture of opinions that could be relevant for the changing collaboration between farmers and veterinarians.
Subject(s)
Agriculture , Veterinarians , Animals , Cattle , Austria , Farms , Livestock , Surveys and QuestionnairesABSTRACT
Uterine infections are a major source of economic losses to dairy farmers. The uterine microbiota as well as opportunistic uterine contaminants can contribute to the development of endometritis in dairy cows during the postpartum period. Therefore, it is important to characterize potential pathogens and to further elucidate their role in the disease. In this study, we aimed to characterize Bacillus pumilus field isolates to obtain more details regarding their effect on uterine cells by using an in vitro endometrial epithelial primary cells model. We found that B. pumilus isolates possessed the keratinase genes ker1 and ker2 and therefore may produce keratinases. When primary endometrial epithelial cells were infected with 4 different B. pumilus strains, an effect on cellular viability was observed over the course of 72 h. The effect was dose-dependent and time-dependent. Nevertheless, significant differences between the strains were not observed. All tested strains reduced the viability of the primary cells after 72 h of incubation, indicating that B. pumilus potentially has a pathogenic effect on endometrial epithelial cells.
ABSTRACT
Establishing fresh cow monitoring procedures is considered beneficial for cow health, welfare, and productivity. However, they are time consuming and require the cows to be locked up, which restricts their natural behavior. In this study, different fresh cow monitoring procedures were evaluated. Two experiments were conducted to determine: (1) the duration of various examinations and treatments; (2) the time cows remain locked up in headlocks; and (3) the proportion of examination and treatment times relative to the total headlock time. In advance, standard operating procedures were established. Three veterinarians conducted the examinations and treatments based on changes in milk yield, clinical symptoms, and alarms by an accelerometer system. The headlock time was evaluated for three workflow strategies, which differed in the order of examinations and treatments. To determine the duration, cameras were installed, and the video footage was analyzed. The examinations lasted between 1 and 227 s, and the cows were locked up in headlocks between 0.01 and 1.76 h. The lock-up times differed significantly among the three strategies, as well as the proportion. This study provides information that can be used as a basis for the development of time-efficient strategies, and to minimize the impact on cows' time budgets.
ABSTRACT
Monitoring rumination activity is considered a useful indicator for the early detection of diseases and metabolic disorders. Accelerometer-based sensor systems provide health alerts based on individual thresholds of rumination times in dairy cows. Detailed knowledge of the relationship between sensor-based rumination times and rumen physiology would help detect conspicuous animals and evaluate the treatment's success. This study aimed to investigate the association between sensor-based health alerts and rumen fluid characteristics in Holstein-Friesian cows at different stages of lactation. Rumen fluid was collected via a stomach tube from 63 pairs of cows with and without health alerts (ALRT vs NALRT). Pairs were matched based on the day of lactation, the number of lactations, and health criteria. Rumen fluid was collected during and after health alerts. The parameters of color, odor, consistency, pH, redox potential, sedimentation flotation time, and the number of protozoa were examined. Results showed differences between both groups in odor, rumen pH, sedimentation flotation time, and protozoan count at the first rumen fluid collection. Within the groups, greater variations in rumen fluid parameters were found for ALRT cows compared to NALRT cows. The interaction between health alert and stage of lactation did not affect the rumen fluid parameters.
ABSTRACT
Post calving metabolic stress reduces the fertility of high producing dairy cows possibly by altering the expression of genes in the maternal environment via epigenetic modifications. Therefore, this study was conducted to identify endometrial DNA methylation marks that can be associated with pregnancy outcomes in postpartum cows at the time of breeding. For this, twelve days post-calving, cows were either offered a control diet or supplemented daily with rumen-protected methionine. Cows showing heat 50-64 days postpartum were artificially inseminated. Endometrial cytobrush samples were collected 4-8 h after artificial insemination and classified based on the pregnancy out comes as those derived from cows that resulted in pregnancy or resulted in no pregnancy. The DNAs isolated from endometrial samples were then subject to reduced representative bisulfite sequencing for DNA methylation analysis. Results showed that in the control diet group, 1,958 differentially methylated CpG sites (DMCGs) were identified between cows that resulted in pregnancy and those that resulted in no pregnancy of which 890 DMCGs were located on chr 27: 6217254-6225600 bp. A total of 537 DMCGs were overlapped with 313 annotated genes that were involved in various pathways including signal transduction, signalling by GPCR, aldosterone synthesis and secretion. Likewise, in methionine supplemented group, 3,430 CpG sites were differentially methylated between the two cow groups of which 18.7% were located on Chr27: 6217254-6225600 bp. A total of 1,781 DMCGS were overlapped with 890 genes which involved in developmental and signalling related pathways including WNT-signalling, focal adhesion and ECM receptor interaction. Interestingly, 149 genes involved in signal transduction, axon guidance and non-integrin membrane-ECM interactions were differentially methylated between the two cow groups irrespective of their feeding regime, while 453 genes involved in axon guidance, notch signalling and collagen formation were differentially methylated between cows that received rumen protected methionine and control diet irrespective of their fertility status. Overall, this study indicated that postpartum cows that could potentially become pregnant could be distinguishable based on their endometrial DNA methylation patterns at the time of breeding.
ABSTRACT
Lying is a high priority behavior for dairy cows. As the quality of cubicles can influence their lying time, the interest in finding objective methods to assess the quality of floors has increased substantially over recent decades. This study aimed to evaluate a technical device for measuring elastic properties of floors for the application to bedding materials for cows. Ten different floor types were used: horse manure, recycled manure solids, bark mulch, sand, sawdust, and three different rubber mats. Horse manure and bark mulch were additionally tested with chopped straw as a top layer. Two devices of the same kind and two examiners were available for performing comparative measurements. Regression analyses and an ANOVA were conducted to compare the devices, examiners, and different surfaces. Most of the floors differed significantly from each other. Sawdust was the softest material, followed by sand and recycled manure solids. The agreement between the devices (Lin's concordance correlation coefficient (CCC) > 0.99, Spearman's rank correlation coefficient (rS) = 0.99) and examiners (CCC = 0.99, rS = 0.99) was almost perfect. These findings indicate that this device can be used as a new method for assessing the softness of bedding materials for dairy cows objectively.
Subject(s)
Housing, Animal , Livestock , Female , Cattle , Horses , Animals , Manure , Sand , Bedding and Linens , AccelerometryABSTRACT
Accelerometers (ACL) can identify behavioral and activity changes in calves. In the present study, we examined the association between bovine respiratory disease (BRD) and behavioral changes detected by an ear-tag based ACL system in weaned dairy calves. Accelerometer data were analyzed from 7 d before to 1 d after clinical diagnosis of BRD. All calves in the study (n = 508) were checked daily by an adapted University of Wisconsin Calf Scoring System. Calves with a score ≥ 4 and fever for at least two consecutive days were categorized as diseased (DIS). The day of clinical diagnosis of BRD was defined as d 0. The data analysis showed a significant difference in high active times between DIS and healthy control calves (CON), with CON showing more high active times on every day, except d -3. Diseased calves showed significantly more inactive times on d -4, -2, and 0, as well as longer lying times on d -5, -2, and +1. These results indicate the potential of the ACL to detect BRD prior to a clinical diagnosis in group-housed calves. Furthermore, in this study, we described the 'normal' behavior in 428 clinically healthy weaned dairy calves obtained by the ACL system.
ABSTRACT
The aim of the study was to characterize the dynamics of anaerobic cultivable postpartum microbiota in the uterus of dairy cows. In total, 122 dairy cows were enrolled and sampled on day 0 (day of calving) and on days 3, 9, 15, 21, and 28 postpartum (pp). Samples were cultivated anaerobically and analyzed by MALDI-TOF MS. In total, 1858 isolates were recovered. The most prevalent facultative anaerobic genera were Trueperella (27.8%), Streptococcus (25.4%), and Escherichia (13.1%). The most prevalent obligate anaerobes were Peptoniphilus (9.3%), Bacteroides (3.3%), and Clostridium (2.4%). The microbial communities were highly dynamic and diverse. On the animal level, Trueperella pyogenes on day 21 and 28 pp was associated with clinical endometritis, and E. coli on day 21 pp was associated with subclinical endometritis. The occurrence of Streptococcus pluranimalium on day 28 was related to uterine health. The presence of T. pyogenes, Streptococcus, and Peptoniphilus was significantly associated with an increased risk for purulent vaginal discharge. Primiparous cows showed a higher prevalence of T. pyogenes, Fusobacterium necrophorum, Porphyromonas levii, and Peptoniphilus spp. than multiparous cows but were not more susceptible to uterine diseases. This study might provide a suitable basis for future co-cultivation studies to elucidate potential synergistic interactions between microbiota.
ABSTRACT
Our objective was to investigate the level of endometrial immune response at artificial insemination (AI) and to relate it to subsequent fertility. From 71 healthy cows, endometrial cytobrush samples were taken at the first AI for cytological and mRNA analyses. Total RNA isolated from the cytobrushes was used for reverse transcription qPCR for selected transcripts. Animals were grouped into pregnant (PREG; n = 32) and non-pregnant (non-PREG; n = 39) cows following their first AI. The mRNA abundance of the neutrophil-related factor CEACAM1 and the chemokine CXCL5 was 1.2- (p = 0.03) and 2.0-fold (p = 0.04) greater in PREG than in non-PREG cows, respectively. Animals were further subdivided according to the number of inseminations until pregnancy (PREG1, n = 32; PREG2-3, n = 19) and in repeat breeder cows (RBC, n = 13). CEACAM1 and CXCL8 mRNA expression was 1.7- (p = 0.01) and 2.3-fold (p = 0.03) greater in PREG1 than in RBC, respectively. Cox regression showed that cows with PMN ≥ 1% had a 1.8-fold increased chance of pregnancy within 150 days postpartum compared with cows with fewer PMNs. We conclude that a certain level of inflammation before the stimulus of AI might be beneficial for subsequent fertility.
ABSTRACT
Recent studies have elucidated the role of several pro-inflammatory factors as mediators of inflammatory processes in the bovine endometrium. Only few studies, however, have analyzed samples collected from different regions of the uterus of the same animal. In this study, we tested the hypothesis that on a molecular level, clinical endometritis is characterized by inflammatory responses spread over the entire endometrium. Furthermore, we assume that subclinical endometritis is described by an inflammation of local regions of the uterus. Therefore, the objective of this study was to assess the mRNA expression of uterus-associated pro-inflammatory factors at five pre-defined endometrial sites, i.e., corpus uteri, left horn base, left horn tip, right horn base, and right horn tip, in cows with clinical and subclinical endometritis and in healthy controls. We analyzed the mRNA expression of interleukin 1 alpha, interleukin 1 beta, C-X-C motif chemokine ligand 8, prostaglandin-endoperoxide synthase 2, protein tyrosine phosphatase receptor type C, carcinoembryonic antigen related cell adhesion molecule 1, and mucin 4 and 16. Based on vaginoscopy and endometrial cytology (≥ 5% polymorphonuclear neutrophils) between 28 to 34 days in milk, 18 Simmental cows were categorized in clinical endometritis group (n = 7), subclinical endometritis group (n = 4), and healthy group (n = 7). In general, the analyses revealed a great variation of mRNA expression between sites and animals. Differences were found between different uterine health statuses, but the variation between the sampling sites within the groups was not significant (P > 0.05). This indicates that inflammatory processes at the end of the postpartum period can be regarded as multi-focal or spread throughout the uterus independent from the uterine health status.
ABSTRACT
It is generally accepted that postpartum uterine infections decrease conception rates in dairy cows. Whereas clinical endometritis (CE) has been studied intensively, only little information about CE at the time of artificial insemination (AI) is available. The aim of this study was to characterize the intrauterine cultivable aerobic microbiota in healthy cows and in cows with mild CE at AI and to investigate its effect on the subsequent insemination success. The vaginal discharge score (VDS) of 120 Holstein Frisian dairy cows was assessed shortly after AI using the Metricheck device and pregnancy diagnosis was performed 39 days after AI. On average, cows received their second insemination (2.0 ± 1.2 standard deviation (SD)) and were 120.5 ± 40.2 days in milk. Intrauterine cytobrush samples were taken from cows with clear mucus (VDS 0, n = 58) and from cows with flecks of pus (VDS 1, n = 62), which was regarded as mild CE. Bacteria collected with the cytobrush were cultivated aerobically and identified by matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). A total of 358 bacterial isolates were recovered, comprising 49 bacterial genera and 116 species. Bacillus, Staphylococcus, Corynebacterium and Streptococcus were the most prevalent genera with relative abundances of 19.6%, 14.2%, 10.1% and 8.1%, whereas common uterine pathogens, such as Trueperella pyogenes and Escherichia coli, were rarely detected. Bacillus spp. were more frequently detected in group VDS 0 (51.7%) than in VDS 1 (22.6%; P = 0.001) and there was a higher prevalence of Corynebacterium spp. in VDS 0 than in VDS 1 (37.9% vs 19.3%; P = 0.03). Cows with VDS 1 at the time of AI harbored neither Bacillus licheniformis nor Bacillus subtilis, while these species were detected in 27.6% and 8.6% of VDS 0 (P < 0.001 and P = 0.024 respectively). The insemination success in VDS 0 and 1 was 43.1 and 25.8% (P = 0.046). The diagnosis of mild CE at AI and the total bacterial load decreased the chance of pregnancy (P = 0.03) but no significant correlation between a distinctive bacterial species and insemination success was observed. In summary, cultivable uterine bacteria at AI presumably represent a part of the physiological microbiota, which is not directly linked to impaired fertility. These findings question intrauterine antimicrobial treatment shortly after AI and could represent the basis for the development of future treatment strategies.
Subject(s)
Cattle Diseases , Endometritis , Microbiota , Vaginal Discharge , Animals , Cattle , Endometritis/veterinary , Female , Insemination, Artificial/veterinary , Pregnancy , Vaginal Discharge/veterinaryABSTRACT
OBJECTIVE: South American camelids have become popular with an increasing number of breeders in Austria, Germany and Switzerland. The aim of the present online survey was to gain information concerning housing and management of South American camelids, particularly during pregnancy and parturition. MATERIAL AND METHODS: A link to the online survey was sent via email to 8 breeder associations in Austria, Germany and Switzerland. The questionnaire included a total of 24 closed or open questions. The period for participation was May to October 2019. RESULTS: A total of 92 breeders participated and 64 answered all questions. The survey revealed that South American camelids were mainly used for breeding (87 %) and production of fibre (74 %). The median flock size was 27 animals, mainly females. Most breeders (74 %) acquired their knowledge on South American camelids via personal contacts and advanced training courses. The majority (57 %) mated their females with an own sire that is kept separately. Using teaser males was the most popular pregnancy test (91 %), often combined with other techniques, especially ultrasonography. In most mares (88 %) duration of pregnancy was in the normal range of 335-360 days. Repeated problems with loss of pregnancy were reported by 76 % of breeders for less than 5 % of their mares. Postpartum problems occurred sporadically, e. g. lack of milk or mastitis (each < 5 %). Problems with the cria at parturition within the last 3 years were reported by > 50 % of the breeders, but reported reasons for dystocia showed no clear focus. The majority of the participants (69 %) were satisfied with the veterinary care in general and in the fields of pregnancy and obstetrics. CONCLUSION: The results of this survey provide new insights into the management practices of South American camelids breeders in Austria, Germany and Switzerland. Further studies could compare these practices with those in countries where breeding of South American camelids possesses a longer tradition and different commercial backgrounds. CLINICAL RELEVANCE: The results provide information to practitioners in preparation for problems and challenges in the veterinary care of South American camelids.
Subject(s)
Animal Husbandry/statistics & numerical data , Breeding , Camelids, New World/physiology , Animals , Europe , Female , Male , Mastitis/veterinary , Pregnancy , Surveys and Questionnaires , Veterinary MedicineABSTRACT
Welfare assessment has traditionally been performed by direct observation by humans, providing information at only selected points in time. Recently, this assessment method has been questioned, as 'Precision Livestock Farming' technologies may be able to deliver more valid, reliable and feasible real-time data at the individual level and serve as early monitoring systems for animal welfare. The aim of this paper is to describe how accelerometers can be used for welfare assessment based on the principles of the Welfare Quality assessment protocol. Algorithm development is based mainly on the detection of behavioural traits. So far, high accuracies have been found for movement and resting behaviours in cows and pigs, while algorithm development for feeding and drinking behaviours in pigs lag behind progress in cows where valid algorithms are already available. Welfare studies have used accelerometer technology to address the effects on behaviour of diet, daily cycle, enrichment, housing, social mixing, oestrus, lameness and disease. Additional aspects to consider before a decision is made upon its use in research and in practical applications include battery life and sensor location. While accelerometer systems for cows are already being used by farmers, application in pigs has mainly remained at the research level.
Subject(s)
Accelerometry , Animal Welfare , Agriculture , Animals , Cattle , Female , Monitoring, Physiologic , SwineABSTRACT
A significant number of lactating dairy cows are affected by health disorders in the early postpartum period. Precision dairy farming technologies have tremendous potential to support farmers in detecting disordered cows before clinical manifestation of a disease. The objective of this study was to evaluate if activity and rumination measures obtained by a commercial 3D-accelerometer system, i.e. "lying", "high active", "inactive", and "rumination" times, can be used for early identification of cows with health deviations before the clinical manifestation of disease. A total of 312 Holstein cows equipped with an ear attached accelerometer (Smartbow GmbH, Weibern, Austria) were monitored and analyzed from 14 days prior to parturition to eight days in milk (DIM). Animals were checked daily for clinical disorders from zero to eight DIM using standard operating procedures and by blood ß-hydroxybutyrate measurements at three, five, and eight DIM. Cows that presented no symptoms of health problems and with BHB concentrations <1.2 mmol/L in the first eight DIM were classified as healthy (n = 156) and used as the reference in this study. Cows with disorders were allocated in groups with one disorder (n = 65) and >1 disorders (n = 91). "Rumination" durations per day were already shorter five days before the clinical diagnosis (D0) in diseased cows (401.9 ± 147.4 min/day) compared with healthy controls (434.6 ± 140.3 min/day). "Rumination" time decreased before the diagnosis, with a nadir at Day -1 for healthy cows and cows with >1 disorder (392.0 ± 147.9 vs. 313.4 ± 162.6 min/day). Cows with one disorder reached a nadir on Day -3 (388.8 ± 158.6 min/day). Similarly, the "high active" time started to become shorter three days before the clinical diagnosis in diseased cows compared to healthy cows (164.1 ± 119.1 vs. 200.3 ± 111.5 min/day). The times cows spent "inactive" were significantly longer three days before clinical diagnosis in diseased cows compared to healthy cows (421.7 ± 168.3 vs. 362.8 ± 117.6 min/day). "Lying" time started to become significantly longer one day before the diagnosis of disorders in disordered cows compared to healthy cows (691.8 ± 183.3 vs. 627.3 ± 158.0 min/day). On average, these results indicated a strong disturbance of physiological parameters before the clinical onset of disease. In summary, it was possible to show differences between disordered and healthy cows based on activity and "rumination" data recorded by a 3D-accelerometer.
Subject(s)
Cattle Diseases , Lactation , Animals , Cattle , Cattle Diseases/diagnosis , Female , Milk , Postpartum Period , TechnologyABSTRACT
Postpartum uterine diseases, such as puerperal metritis and clinical endometritis may affect over 40 % of cows in dairy farms. Regardless of their severity, these diseases are one of the main reasons for impaired fertility, causing declines in dairy cow productivity and hence, resulting in economic losses. Although uterine diseases have been the topic of scientific discussion for many years, until now it was not possible to agree on uniform definitions for the different kinds of manifestation. By including technical innovations and testing procedures, enormous scientific progress and a deeper knowledge of the physiology as well as the pathologic mechanisms have been achieved. Bovine metritis and endometritis may be regarded as multifactorial diseases caused by a combination of microbial infection, the dysregulation of the immune system, and additional risk factors. These interactions have been analyzed on microbial and molecular biological levels as well as by the use of bioinformatics and molecular genetics. As a result, new species of bacteria and inflammatory mediators possibly contributing to the development of uterine diseases have recently been described. Additionally, metabolic and genetic risk factors and their roles in leading to fertility impairment have been evaluated. In conclusion, it was possible to identify new approaches for possible therapeutic and preventive methods, a subset of which may already be implemented into daily practical routine. This article provides an overview of recent scientific results concerning bovine metritis and endometritis with a focus on microbial, microbiological and immunological studies.
Subject(s)
Cattle Diseases , Uterine Diseases , Animals , Cattle , Cattle Diseases/diagnosis , Cattle Diseases/genetics , Cattle Diseases/microbiology , Computational Biology , Female , Puerperal Infection/diagnosis , Puerperal Infection/genetics , Puerperal Infection/microbiology , Puerperal Infection/veterinary , Risk Factors , Uterine Diseases/diagnosis , Uterine Diseases/genetics , Uterine Diseases/microbiology , Uterine Diseases/veterinaryABSTRACT
Cows in estrus but with signs of clinical endometritis (CE) are often not inseminated or undergo an intrauterine treatment after artificial insemination (AI). Decades ago, the so-called Aström method was described as intrauterine infusion of iodine-potassium solution 2-4 days after AI. Nowadays, it is common to use antibiotics instead of iodine solution and the treatment is performed only a few hours after AI. Although widespread in practice, there is only little information about the efficacy of this treatment. Thus, this study evaluated the effect of a post-breeding intrauterine treatment with cephapirin on insemination success in cows with signs of mild CE. In total, 281 cows subjected to an Ovsynch program with fixed-time AI and examined for vaginal discharge straight after AI by use of the Metricheck device were included. Cows with cloudy discharge or flecks of pus in the mucus were assigned to a treatment or a control group. The treatment group (MET; n = 87) received 6 ± 1 h after AI an intrauterine treatment with 500 mg of cephapirin (Metricure, Intervet Deutschland GmbH). Control cows (CON; n = 91) remained untreated. Animals with clear discharge were assigned to a healthy comparison group (HE; n = 103). Pregnancy diagnosis was performed 39 days after AI. The proportion of pregnant cows after the AI directly preceding the enrollment did not differ significantly (P > 0.05) between HE (35.0%), CON (27.5%) and MET (32.2%). Cephapirin treatment had also no positive effect on other reproductive performance measures, i.e, the percentage of pregnant cows 200 days after enrollment (HE: 64.1%, CON: 73.6%, and MET: 73.6%) or the mean interval from enrollment to conception (HE: 25.4 days, CON: 30.0 days, and MET: 29.7 days). The binary logistic regression showed that the only risk factors with a detrimental effect on fertility were a history of CE 28-34 days postpartum and season. Although cows in MET and HE were 1.74 and 1.37 times more likely to conceive after AI than CON, this effect was not significant. Uterine sampling of a subset of cows with CE (n = 50) revealed 127 bacterial isolates. The most frequently found genera were Staphylococcus (19.7%), Bacillus (12.6%), Streptococcus (10.2%), Corynebacterium (8.7%), and Lysinibacillus (7.9%). The finding that common uterine pathogenic bacteria were rarely detected additionally questions an intrauterine antibiotic treatment of cows with mild CE at AI.
Subject(s)
Cattle Diseases , Cephapirin , Endometritis , Vaginal Discharge , Animals , Cattle , Cattle Diseases/drug therapy , Endometritis/drug therapy , Endometritis/veterinary , Estrus Synchronization , Female , Insemination, Artificial/veterinary , Lactation , Pregnancy , Reproduction , Vaginal Discharge/veterinaryABSTRACT
Streptococcus uberis is an opportunistic pathogen involved in various infections of cattle. It is a well-known etiological agent of bovine mastitis and has recently also been linked to postpartum endometritis in dairy cows. S. uberis is frequently isolated from the uterus of postpartum cows but its actual contribution to host pathophysiology is unknown and information on S. uberis virulence factors potentially involved in the disease is lacking. To gain first insights into the role of S. uberis in the pathology of bovine endometritis, a cell-culture-based infection model was employed to study inflammatory host responses and investigate cytotoxic effects. A comprehensive strain panel, comprising 53 strains previously isolated from bovine uteri, was compiled and screened for known virulence factor genes. Isolates showing distinct virulence gene patterns were used to study their impact on cellular viability and influence on mRNA expression of pro-inflammatory factors in endometrial epithelial cells. Our study revealed that S. uberis negatively impacts the viability of endometrial epithelial cells and provokes an upregulation of specific pro-inflammatory factors, although with certain strains having a greater effect than others. Especially, mRNA expression of IL1A and CXCL8 as well as CXCL1/2 and PTGS2 was found to be stimulated by S. uberis. These results suggest that S. uberis might indeed contribute to the establishment of bovine endometritis.
Subject(s)
Endometrium/cytology , Epithelial Cells/immunology , Inflammation/genetics , Streptococcus/immunology , Uterus/microbiology , Animals , Cattle/microbiology , Cell Culture Techniques , Cell Survival , Endometrium/immunology , Endometrium/microbiology , Epithelial Cells/microbiology , Female , Host-Pathogen Interactions , Inflammation/immunology , RNA, Messenger/genetics , Streptococcus/genetics , Streptococcus/pathogenicity , Up-Regulation , Virulence Factors/geneticsABSTRACT
A Gram-stain-positive bacterial isolate, designated LMM-1652T, was isolated from an intrauterine cytobrush sample originating from a postpartum Holstein Friesian dairy cow. The strain had a rod to coccoid-shape, was catalase-positive and oxidase-negative. 16S rRNA gene sequence similarity analyses revealed that its closest relatives were Corynebacterium falsenii (97.05â% similarity), Corynebacterium jeikeium (96.83â%) and Corynebacterium urealyticum (96.82â%). Subsequent whole genome analysis showed that the genome-to-genome distance of strain LMM-1652T to its closest relatives was in the range of 23.2-24.8 %, while the average nucleotide identity values ranged from 73.7 to 74.3%, thus confirming that this isolate represents a novel species. Strain LMM-1652T was characterized by a quinone system mainly consisting of MK-9(H2) and MK-10(H2). The polar lipids profile of the strain consisted mainly of diphosphatidylglycerol, phosphatidylglycerol, phosphatidylinositol and phosphatidylinositol-mannoside, as well as one unidentified lipid lacking any functional group. Smaller amounts of four unidentified phospholipids, four unidentified glycolipids, ß-gentiobiosyl diacylglycerol and four unidentified lipids lacking a functional group were also found. The cell wall contained meso-diaminopimelic acid as the diagnostic diamino acid of the peptidoglycan. The fatty acid profile was mainly composed of C18â:â1 ω9c, C18â:â0 and C16â:â0. We propose a novel species of the genus Corynebacterium with the name Corynebacterium urogenitale LMM-1652T (=LMG 31163T=DSM 108747T).
Subject(s)
Cattle/microbiology , Corynebacterium/classification , Phylogeny , Uterus/microbiology , Animals , Bacterial Typing Techniques , Base Composition , Corynebacterium/isolation & purification , DNA, Bacterial/genetics , Diaminopimelic Acid/chemistry , Fatty Acids/chemistry , Female , Peptidoglycan/chemistry , Phospholipids/chemistry , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA , Slovakia , Vitamin K 2/analogs & derivatives , Vitamin K 2/chemistryABSTRACT
Subclinical ketosis is a metabolic disease in early lactation. It contributes to economic losses because of reduced milk yield and may promote the development of secondary diseases. Thus, an early detection seems desirable as it enables the farmer to initiate countermeasures. To support early detection, we examine different types of data recordings and use them to build a flexible algorithm that predicts the occurence of subclinical ketosis. This approach shows promising results and can be seen as a step toward automatic health monitoring in farm animals.