Abstract

{Diet digestibility could be a better measure of feed efficiency when breeding for robust animals that are fed fiber rich diets. The challenge is that measuring digestibility for large number of animals is expensive and complex. However, Near infrared spectroscopy (NIRS) can be used to predict diet nutrient digestibility from the spectra of faeces. The objective of this study was to investigate if diet digestibility can be predicted using faecal NIRS that originate from various pig experimental data sets. Faecal samples together with detailed information on diet digestibility were obtained from four different pig experiments. Faecal spectra were analysed using faecal samples of the complete dataset. The model was calibrated using the faecal spectra and reference samples of diet digestibility. The robustness of the model was evaluated by the closeness between standard error of calibration and validation. Prediction of diet digestibility was successful as the standard error between the calibration and validation dataset was close enough. The calibration model developed to estimate the apparent total tract nutrient digestibility from faecal spectra worked well for organic matter (R2 = 0.94; SEC = 5.5; SECV = 6.7), gross energy (R2 = 0.88; SEC = 2.3; SECV = 2.6) and fat (R2 = 0.79 SEC = 6

Kahsay Gebremaria Nirea, Marta Pérez de Nanclares1, Adrijana Skugor, Nils Kristian Afseth, Theo Meuwissen, Jon Øvrum Hansen, Liv Torunn Mydland, Margareth øverland

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Biology - Feed Intake and Efficiency 2, , 833, 2018
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