Y. de Haas
Papers
4
Total Citations
64
H-Index
3
About
Y. de Haas is a leading researcher in sustainable dairy science, specializing in the genetic and environmental mitigation of enteric methane emissions from cattle. Her work sits at the critical intersection of animal breeding, precision livestock farming, and climate change mitigation. de Haas’s major contribution is pioneering the use of on-farm sensor technologies—specifically “sniffers” installed in milking robots—to reliably rank cows by methane output, a method validated against gold-standard respiration chambers. This breakthrough, detailed in her highly cited 2018 paper (33 citations), enables large-scale, commercial phenotyping previously impossible. She has since advanced the field by estimating the heritability and repeatability of methane concentrations using the largest longitudinal dataset of its kind (2022, 20 citations), providing the genetic parameters essential for incorporating methane traits into national breeding programs. Her recent work (2024) further refines these models by analyzing the covariance structure of methane emissions across lactation. With a growing citation impact and a focus on translating sensor data into proxies for resilience and feed efficiency, de Haas is instrumental in shaping a future where dairy breeding actively reduces environmental footprint.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4