Related Experiment Videos
Response to selection for fertility in a fall-lambing sheep flock
1Department of Animal and Poultry Sciences, Virginia Polytechnic Institute, Blacksburg 24061-0306, USA.
Journal of Animal Science
|August 1, 1997
Summary
Selective breeding successfully improved fertility in fall-lambing sheep over five years. Estimated breeding values (EBVs) for fertility increased significantly in the selected flock compared to the control, demonstrating the effectiveness of this approach for sheep reproduction.
Area of Science:
- Animal Breeding and Genetics
- Reproductive Biology
- Sheep Production Systems
Background:
- Improving reproductive efficiency is crucial for sheep farming profitability.
- Fall lambing systems present unique challenges for fertility management.
- Genetic selection offers a sustainable method to enhance livestock traits.
Purpose of the Study:
- To evaluate the effectiveness of selective breeding for fertility in a fall-lambing sheep population.
- To quantify the genetic gain in fertility over 1.45 generations.
- To assess correlated responses in other production traits.
Main Methods:
- Utilized three flocks: selected (S), environmental control (EC), and genetic control.
- Calculated estimated breeding values (EBVs) for fertility using a single-trait animal model.
- Applied selection pressure on fertility in the S flock for five years.
- Analyzed correlated responses in body weights and litter size.
Main Results:
- Fertility EBVs increased more rapidly in the selected (S) flock (.0138/yr) than the environmental control (EC) flock (.0067/yr).
- A positive correlated response in fall litter size was observed in the S flock (.0087 lambs/yr).
- Selected flock showed improvements in 90-day weight and scrotal circumference, but declines in direct birth and weaning weights.
Conclusions:
- Selective breeding is an effective strategy to improve fertility in fall-lambing sheep.
- Genetic gains in fertility can be achieved without significant detrimental effects on other traits.
- EBVs accurately predict selection response in sheep fertility.