Heydar Ghiasi

Payame Noor University

Papers

2

Total Citations

12

H-Index

1

About

Heydar Ghiasi is a leading researcher in quantitative genetics and dairy cattle breeding, with a focus on leveraging precision technologies to improve milking efficiency and udder health. His work centers on the genetic analysis of traits recorded by automatic milking systems (AMS), which provide high-resolution data on milk yield, milking frequency, and milking speed. In a highly cited 2021 study (11 citations), Ghiasi estimated genetic parameters for these traits in Polish Holstein-Friesians, revealing moderate heritabilities and favorable genetic correlations that support selection for improved milking efficiency. More recently, in 2025, he advanced this research by analyzing udder-quarter milk yield and milking traits, demonstrating that rear quarters produce more milk and require longer milking times, and recommending that selection rely on whole-udder averages rather than individual quarters. This work has practical implications for breeding programs aiming to optimize milking efficiency and udder health. Ghiasi’s research is at the intersection of precision livestock farming and genetic improvement, providing valuable insights for dairy producers and breeders worldwide.

Research Focus

Key Achievements

1
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Genetic Parameters Estimation of Milking Traits in Polish Holstein-Friesians Based on Automatic Milking System Data
11 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Payame Noor University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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