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Phenotypic study on total and partial lifetime traits for dairy ewes.
Usama M El-Saied1, L Fernando de la Fuente, Fermín San Primitivo
1Departamento de Producción Animal I, Facultad de Veterinaria, Universidad de León, 24071 León, Spain. umelsaied2003@yahoo.com
The Journal of Dairy Research
|January 26, 2006
Summary
This study on Spanish Churra ewes found strong links between milk production, reproductive efficiency, and longevity. Early life indicators can help identify high-performing ewes for improved flock management.
Area of Science:
- Animal Science
- Quantitative Genetics
- Reproductive Biology
Background:
- Phenotypic relationships between productive, reproductive, and lifespan traits are crucial for efficient sheep breeding.
- Understanding these relationships in Spanish Churra ewes can optimize flock management and genetic selection.
Purpose of the Study:
- To determine the strength of phenotypic relationships between productive, reproductive, and lifespan traits in Spanish Churra ewes.
- To assess the predictive value of early-life traits for overall ewe performance and longevity.
Main Methods:
- Analysis of 36,396 lactations from 7935 Spanish Churra ewes across 23 flocks.
- Statistical modeling including fixed effects of flock, birth year, and season, with milk production level added for lifespan traits.
- Calculation of various lifespan, productive, and reproductive traits, including per-day measures.
Main Results:
- Strong positive correlations (0.75-0.95) were observed between lifespan and productive traits.
- Milk production level significantly explained variation in lifespan traits (average 14.91% variance).
- Early-life productive and reproductive traits showed moderate to high correlations with lifetime performance.
Conclusions:
- Lifespan and productive traits in Churra ewes are strongly interrelated.
- Early-life performance indicators can effectively predict long-term productivity and longevity.
- Utilizing these relationships aids in early identification of superior ewes for breeding programs.