Papers

2

Total Citations

3

H-Index

1

About

K. Siatka’s research focuses on the intersection of dairy cattle management, automated milking systems, and quantitative genetics. A key contribution is the comparative analysis of automated milking in barns equipped with concentrate feeding stations, demonstrating that combining milking robots with feeding systems can improve milking efficiency and milk yield. This work, published in 2023, has garnered 2 citations and provides practical insights for precision livestock farming. More recently, Siatka has advanced the understanding of udder health and milking traits through genetic parameter estimation in Holstein cattle. This 2025 study, with 1 citation, reveals that udder-quarter milk yield and milking traits exhibit low to moderate heritability, with rear quarters producing more milk and requiring longer milking times. A notable finding is the recommendation that genetic selection should rely on whole-udder averages rather than individual quarters, guiding more effective breeding strategies. Siatka’s work bridges animal genetics and farm automation, offering evidence-based solutions for improving dairy productivity and animal welfare.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of selected parameters of automated milking in dairy cattle barns equipped with a concentrate feeding system
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Bydgoszcz University of Science and Technology, AGH University of Krakow

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago