Prediction of chick hatching time using visible transmission spectroscopy combined with partial least squares regression

Abstract

The feasibility of using visible transmission spectroscopy for the prediction of chick hatching time was investigated. An experiment was conducted with 100 chicken eggs in which transmission spectra were measured between incubation day 0 (non-incubated) and days 8 and subsequent hatching time was recorded. Spectral transmittance in the range of 500e750 nm was used in analysis. Spectral data were linked to hatching time using a partial least squares (PLS) regression method. Different pre-processing procedures were compared. The calibration model using incubation day 4 spectra with multiplicative scatter correction (MSC) resulted in the lowest root mean square error of prediction (RMSEP) 1⁄4 3.41 h. The result indicates that the use of visible transmission spectroscopy combined with multivariate analysis has potential to predict the chick hatching time.