Dataset on productive functional traits at first lactation and productive longevity from a herd of 185 Montbéliarde and Holstein cows managed on a low-input mountain-area grassland farm
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View abstract on PubMed
Summary
This summary is machine-generated.This dataset offers insights into dairy cow productivity and longevity in French mountain pasture systems. It covers 36 traits for 185 cows over 20 years, aiding model development for grassland-based farming.
Area Of Science
- Animal Science
- Agricultural Systems
- Data Science
Background
- Dairy cattle farming in mountain regions often combines pasture grazing with indoor overwintering.
- Understanding productive longevity and culling reasons is crucial for sustainable dairy farming.
- Low-input grassland-based systems require specific data for effective management and modeling.
Purpose Of The Study
- To present a comprehensive dataset on dairy cow production and longevity.
- To provide data for developing statistical and mechanistic models for dairy cows.
- To support research on low-input grassland-based dairy farming systems.
Main Methods
- Data collected from 185 primiparous Montbéliarde and Holstein cows over a 20-year period.
- Inclusion of individual productive and functional traits (over 36 variables).
- Recording of productive longevity and reasons for culling.
Main Results
- A consistent 20-year dataset on dairy cow performance under specific feeding systems.
- Detailed information on individual cow traits, longevity, and reasons for removal from the herd.
- Data suitable for analyzing the impact of grassland-based systems on dairy cow performance.
Conclusions
- The dataset provides a valuable resource for researchers and industry professionals.
- Facilitates the development of predictive models for dairy cow performance in pasture-based systems.
- Supports the optimization of management practices in low-input dairy farming environments.
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