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Maternal melatonin implants improve twin Merino lamb survival
Tom Flinn1, Jessica R Gunn2, Karen L Kind1,3
1Davies Livestock Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, South Australia, Australia.
Supplementing pregnant Merino ewes with melatonin significantly improved lamb survival rates to weaning in extensive grazing conditions. This strategy reduced lamb mortality, offering a practical approach to enhance flock productivity and profitability.
Area of Science:
- Animal Science
- Reproductive Biology
- Veterinary Medicine
Background:
- High preweaning lamb mortality significantly impacts the Australian sheep industry, with twin lambs experiencing higher losses.
- Previous research indicated melatonin supplementation in pregnant ewes can mitigate negative effects of fetal growth restriction and perinatal hypoxia.
Purpose of the Study:
- To investigate the efficacy of melatonin supplementation in improving the survival rates of twin Merino lambs under extensive grazing conditions.
Main Methods:
- Pregnant Merino ewes were administered one (M1) or two (M2) slow-release melatonin implants, or no supplement (CTL).
- Lamb survival, weight, and rectal temperature were monitored from birth to weaning (70.7 days).
- Serum immunoglobulin G (IgG) levels were analyzed to assess passive immunity.
Main Results:
- Melatonin treatment significantly increased lamb survival to 3 days postpartum (M1: 98.0%, M2: 95.3%) compared to controls (83.3%).
- This survival benefit was sustained to weaning (M1: 94.0%, M2: 92.5% vs. CTL: 79.6%).
- Parturition-related deaths were lower in melatonin-treated groups, suggesting a neuroprotective effect.
Conclusions:
- Melatonin supplementation in pregnant twin-bearing Merino ewes is a viable strategy to reduce neonatal mortality and improve weaning rates in extensive systems.
- The improved survival appears linked to melatonin-induced neuroprotection, though further mechanistic studies are needed.
- The study, while promising, had limitations including small sample size, necessitating further replication.
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