Laying Hen Experimental Design & Trial Planning
Layer trials designed to answer your question whichever way the result falls, with the statistics planned before the first egg is collected.
Who it’s for
R&D and technical teams at feed-additive, enzyme and probiotic companies; feed mills testing a new program; university research groups; producers who want a fair on-farm comparison.
You receive
- Written trial protocol
- Randomization map
- Statistical analysis plan
- Data-collection templates
- Final analysis report
What’s included
- Clear objectives and testable hypotheses, with a treatment structure to match: dose-response, or factorial designs such as phytase × mineral level.
- The right experimental unit (hen, cage, pen or house), replication sized by a power calculation, and randomization with blocking for house, tier and row position.
- Timing matched to production phase: pullet rearing, peak, post-peak, late lay and extended lay out to 100 weeks of age.
- Response variables chosen for the question: hen-day production, egg mass, feed intake, feed per dozen and FCR, egg weight, Haugh units, shell breaking strength, bone quality, nutrient digestibility, and gut health and microbiology.
- Data-collection SOPs and a pre-specified statistical analysis plan in SAS or R.
- Challenge studies, such as Salmonella Enteritidis, designed with ABSL-2 partners equipped to run them, under an approved animal care and use protocol (IACUC in the U.S.).
- Analysis, technical reporting and manuscript support once the data are in.
Grounded in
Protocols I design and coordinate at NC State, such as phytase × mineral work in extended-lay hens (50–100 weeks); data compilation and statistical analysis for the 41st North Carolina Layer Performance and Management Test; and in-vivo Salmonella Enteritidis trials at Mississippi State.