Updating grain AME data for NIR
Energy is the most expensive component of diet for laying hens. With feed accounting for approximately 65% of the cost of production, accurate estimation of energy content of ingredients, in particular grains, is vital for nutritionists to ensure that feed formulation meets the breed specifications, performance, and least cost objectives in egg production. Direct measurement of AME for each grain sample is not commercially feasible, however a reliable near infrared (NIR) calibration can provide a rapid AME prediction for individual grain samples. The overarching objective of this project is to facilitate rapid, accurate near real-time prediction of AME content of cereal grains for laying hens, thus saving the egg industry cost associated with feed formulation. Improved NIR calibration will materialise in immediate benefits for the egg industry.
Project date
Principal investigator
Project funded by
Collaborators
Focus areas
Industries
Sustainabilities
Technology areas
Related research projects
Search all research projectsHave questions?
Find out how we can help you.
Find answers to our most frequently asked questions on research projects, commercial opportunities, organisations and more.
Still have questions or have feedback on the site? Please get in touch by completing our enquiry form.