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Assessment of the Nutritive Value of Individual Feeds and Diets by Novel Technologies

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Smart Livestock Nutrition

Part of the book series: Smart Animal Production ((SMANPR,volume 1))

Abstract

Feed accounts for the largest cost item in livestock production. Optimising the feed to the animal needs is therefore pivotal to efficient animal production and to minimise environmental and climate impacts. Classically, feed has been optimised based on table values and with the possibility for adjustment due to differences in chemical composition of ingredients. The latter requires tedious and costly wet chemical methods and has further the limitation that it cannot be used for the measurement of the nutritive value in real time. Near-infrared reflectant spectroscopy (NIRS), which utilises the interaction between light and matter, holds the potential to be used as online tool for measurements not only of nutrient composition, but also on nutritional value, provided that sufficiently large reference databases are available. This chapter discusses the recent progress in the development of calibration equations for the measurements of the digestibility of nutrients and energy values based on NIR scans of feedstuffs and diets and faecal residues, and how NIRS can be used to control the quality of feeds from a feed mill in real time and optimise the provision of nutrients for animals during growth and production. The use of NIRS calibrations developed based on faecal residues as a tool to select pigs with improved nutrient digestibility and value is also described and discussed. Real-time quality control of feeds provided to the animal has a central role in the implementation of smart nutrition in livestock systems.

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Acknowledgements

This project was supported by the European Union’s H2020 Program Feed-a-Gene project from grant agreement no 633531. The funding body had no role in the design of the study and collection, analysis, and interpretation of data or in writing the manuscript. The authors are grateful for the technical assistance of Lisbeth Märcher and Winnie Østergaard Thomsen.

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  1. Department of Animal and Veterinary Sciences, Aarhus University, Tjele, Denmark

    Knud Erik Bach Knudsen, Samantha Noel & Henry Jørgensen

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  1. Knud Erik Bach Knudsen
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  2. Samantha Noel
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Correspondence to Knud Erik Bach Knudsen .

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  1. Institute for Global Food Security School of Biological Sciences, Queen#x2019;s University Belfast, Belfast, UK

    Ilias Kyriazakis

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Knudsen, K.E.B., Noel, S., Jørgensen, H. (2023). Assessment of the Nutritive Value of Individual Feeds and Diets by Novel Technologies. In: Kyriazakis, I. (eds) Smart Livestock Nutrition. Smart Animal Production, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-031-22584-0_4

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