C. Egger-Danner
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Prediction and genetic analysis of blood β-hydroxybutyrate based on milk mid-infrared spectra in Fleckvieh dairy cows Open
Hyperketonemia is a common metabolic disorder in early-lactation dairy cows that impairs milk performance and health. The gold-standard indicator for diagnosis is the blood metabolite BHB. However, measuring blood BHB on a large scale is c…
Application of milk mid-infrared spectroscopy for prediction of energy balance and associated traits in Fleckvieh and Holstein Friesian dairy cows Open
A negative energy balance in early lactation increases the susceptibility of dairy cows to metabolic and infectious diseases. Energy balance (EB) is therefore a valuable trait in both herd management and breeding strategies, to improve the…
View article: Invited review: Using data from sensors and other precision farming technologies to enhance the sustainability of dairy cattle breeding programs
Invited review: Using data from sensors and other precision farming technologies to enhance the sustainability of dairy cattle breeding programs Open
The increased uptake of sensor technologies and precision farming tools for the dairy cattle sector is enabling real-time monitoring of animal health, welfare, and productivity. These digital advancements provide high-frequency, objective,…
View article: Sensor data cleaning for applications in dairy herd management and breeding
Sensor data cleaning for applications in dairy herd management and breeding Open
Data cleaning is a core process when it comes to using data from dairy sensor technologies. This article presents guidelines for sensor data cleaning with a specific focus on dairy herd management and breeding applications. Prior to any da…
View article: Improving lameness detection in cows: A machine learning algorithm application
Improving lameness detection in cows: A machine learning algorithm application Open
The deployment of diverse data-generating technologies in livestock farming holds the promise of early disease detection and improved animal well-being.In this paper, we combine routinely collected dairy farm and herd data with weather and…
Mastitis has a cumulative and lasting effect on milk yield and lactose content in dairy cows Open
Milk lactose content (LC) physiologically decreases with parity order in dairy cows, but also after udder health inflammation(s) and in presence of elevated milk SCC in subclinical cases. Therefore, the progressive decrease in milk LC obse…
View article: A key-feature-based clustering approach to assess the impact of technology integration on cow health in Austrian dairy farms
A key-feature-based clustering approach to assess the impact of technology integration on cow health in Austrian dairy farms Open
In the domain of precision livestock farming, the integration of diverse data sources is crucial for advancing sustainability and evaluating the implications of farm management practices on cow health. Addressing the challenge of data hete…
Genetic parameters for mid‐infrared‐spectroscopy‐predicted mastitis phenotypes and related traits Open
Genetic improvement of udder health in dairy cows is of high relevance as mastitis is one of the most prevalent diseases. Since it is known that the heritability of mastitis is low and direct data on mastitis cases are often not available …
Ketosis risk derived from mid-infrared predicted traits and its relationship with herd milk yield, health and fertility Open
Milk analysis using mid-infrared spectroscopy (MIR) is a fast and inexpensive way of examining milk samples on a large scale for fat, protein, lactose, urea and many other novel traits. A new indicator trait for ketosis, KetoMIR, which is …
Hind feet position score: A novel trait to genetically reduce lameness incidence Open
Lameness is an important health and welfare issue that causes considerable economic losses in dairy herds. The objective of this study was to investigate whether the hind feet position score (HFPS) can be used as an auxiliary trait for gen…
View article: A 2-year study reveals implications of feeding management and exposure to mycotoxins on udder health, performance, and fertility in dairy herds
A 2-year study reveals implications of feeding management and exposure to mycotoxins on udder health, performance, and fertility in dairy herds Open
We recently reported the ubiquitous occurrence of mycotoxins and their secondary metabolites in dairy rations and a substantial variation in the feeding management among Austrian dairy farms. The present study aimed to characterize to whic…
Antimicrobial resistance and its relationship with antimicrobial use on Austrian dairy farms Open
The aim of this study was to investigate the prevalence of ESBL/AmpC-producing E. coli and the resistance pattern of commensal E. coli , as well as the link between the use of antibiotics (AMU) and the occurrence of resistance in E. coli o…
Importance of Mid-Infrared Spectra Regions for the Prediction of Mastitis and Ketosis in Dairy Cows Open
Mid-infrared (MIR) spectroscopy is routinely applied to determine major milk components, such as fat and protein. Moreover, it is used to predict fine milk composition and various traits pertinent to animal health. MIR spectra indicate an …
View article: The Combined Use of Automated Milking System and Sensor Data to Improve Detection of Mild Lameness in Dairy Cattle
The Combined Use of Automated Milking System and Sensor Data to Improve Detection of Mild Lameness in Dairy Cattle Open
This study aimed to develop a tool to detect mildly lame cows by combining already existing data from sensors, AMSs, and routinely recorded animal and farm data. For this purpose, ten dairy farms were visited every 30–42 days from January …
92. The lasting effect of udder inflammation on milk lactose content in dairy cows Open
Milk lactose content (LC) reduces with parity in dairy cattle and shows an inverse relation with somatic cell count. The aim of this study was to investigate if the lifetime decrease in LC is due to cumulative number of experienced udder i…
The effect of antibiotic versus no treatment at dry-off on udder health and milk yield in subsequent lactation: A retrospective analysis of Austrian health recording data from dairy herds Open
Bovine mastitis is the most commonly diagnosed disease of dairy cows worldwide and causes extensive economic losses to milk producers. Intramammary infection status before dry-off plays a decisive role with respect to udder health and milk…
Use of differential somatic cell count, somatic cell score, and milk mid-infrared spectral analysis for monitoring mastitis in dairy cows during routine milk recording Open
Routine mastitis screening is crucial on dairy farms, and it usually involves analysis of somatic cell count (SCC), which serves as an indicator of mastitis. Milk mid-infrared (MIR) spectral analysis, the standard method to determine milk …
Prediction of Acute and Chronic Mastitis in Dairy Cows Based on Somatic Cell Score and Mid-Infrared Spectroscopy of Milk Open
Monitoring for mastitis on dairy farms is of particular importance, as it is one of the most prevalent bovine diseases. A commonly used indicator for mastitis monitoring is somatic cell count. A supplementary tool to predict mastitis risk …
Usability of bacteriological milk analyses for genetic improvement of udder health in Austrian Fleckvieh cows Open
In addition to somatic cell count records and clinical mastitis diagnoses, results of bacteriological milk analyses provide valuable information regarding udder health. The pathogen causing an udder infection is currently not considered in…
Benchmarking Based on Regularly Recorded Claw Health Data of Austrian Dairy Cattle for Implementation in the Cattle Data Network (RDV) Open
While benchmarking is already used for the assessment of performance gaps in cattle herd management and welfare concerns, its application to quantifying claw health performance is relatively new. The goal here was to establish a benchmarki…
View article: Integrating diverse data sources to predict disease risk in dairy cattle—a machine learning approach
Integrating diverse data sources to predict disease risk in dairy cattle—a machine learning approach Open
Livestock farming is currently undergoing a digital revolution and becoming increasingly data-driven. Yet, such data often reside in disconnected silos making them impossible to leverage their full potential to improve animal well-being. H…
View article: D4Dairy-project – How digitalization and data integration pave the way to dairy health improvement
D4Dairy-project – How digitalization and data integration pave the way to dairy health improvement Open
Lameness in dairy cattle still remains a widespread animal welfare and economic issue. Early detection and prediction of lameness events may help to reduce negative effects for farms. However, integrating lameness assessment into the daily…
View article: Integrating diverse data sources to predict disease risk in dairy cattle
Integrating diverse data sources to predict disease risk in dairy cattle Open
Livestock farming is currently undergoing a digital revolution and becoming increasingly data-driven. Yet, such data often reside in disconnected silos making it impossible to leverage their full potential to improve animal well-being. Her…
Exploring the Potential Genetic Heterogeneity in the Incidence of Hoof Disorders in Austrian Fleckvieh and Braunvieh Cattle Open
Genetic heterogeneity denotes the situation when different genetic architectures underlying diverse populations result in the same phenotype. In this study, we explore the genetic background underlying differences in the incidence of hoof …
Use of benchmarking to monitor and analyze effects of herd size and herd milk yield on cattle health and welfare in Austrian dairy farms Open
The modernization and intensification of the dairy industry has led to larger herd sizes and higher milk production, both globally and in Austria. Benchmarking allows the monitoring of animal health and welfare as well as the identificatio…
Two-stage genome-wide association study for the identification of causal variants underlying hoof disorders in cattle Open
Feet and legs disorders influence dairy cattle breeding by their effect on animal welfare, economic losses due to lower production and fertility, costs of treatment, and problems with herd management. In our study, we estimated heritabilit…
Short communication: Investigation of the temporal relationships between milk mid-infrared predicted biomarkers and lameness events in later lactation Open
This study reports on the exploration of temporal relationships between milk mid-infrared predicted biomarkers and lameness events. Lameness in dairy cows is an issue that can vary greatly in severity and is of concern for both producers a…
Exploring the potential genetic heterogeneity in the incidence of hoof and leg disorders in Austrian Fleckvieh and Braunvieh cattle Open
Background Genetic heterogeneity denotes the situation when different genetic architectures underlying diverse populations result in the same phenotype. In this study, we explore the nature of differences in the incidence of the number of …