In ovo sexing of eggs from brown breeds with a gender-specific color using visible-near-infrared spectroscopy: effect of incubation day and measurement configuration.


Journal

Poultry science
ISSN: 1525-3171
Titre abrégé: Poult Sci
Pays: England
ID NLM: 0401150

Informations de publication

Date de publication:
May 2022
Historique:
received: 23 12 2021
revised: 31 01 2022
accepted: 07 02 2022
pubmed: 28 3 2022
medline: 6 5 2022
entrez: 27 3 2022
Statut: ppublish

Résumé

The culling of day-old male chicks is an animal welfare issue within the laying hen industry that raises substantial ethical concern. Alternative methods are sought to pre-select males during embryonic development. This method is called in ovo sexing and allows more humane male culling. A robust and non-invasive in ovo color sexing technique was developed and validated in this research. To this end, visible-near-infrared (vis-NIR) point spectroscopy was used, which has advantages over state-of-the-art hyperspectral imaging in terms of accuracy and cost. Two independent experiments were each conducted on a batch of 600 Isa Brown eggs. These eggs were individually illuminated on d 8 to 14, and d 18 of incubation by a halogen lamp and the signal was measured in the vis-NIR range from 300 to 1,145 nm. Next, optimal preprocessing strategies were applied and partial least squares discriminant analysis (PLS-DA) models were built and further optimized after performing a forward interval partial least squares (FiPLS) for variable selection. Results demonstrated that d 12 is too early for vis-NIR in ovo sexing, resulting in a prediction accuracy of 86.49%. However, after 13 d of incubation, an accuracy of 97.78% was obtained, increasing to 99.52% on d 14. Furthermore, these accuracies were higher than earlier reported percentages from hyperspectral imaging and successful sexing was expedited from d 14 to d 13. Moreover, prediction improvement up to 99.05% was obtained on d 13 by correcting for the variability in eggshell properties using d 0 eggshell corrections. Applying the method on d 18 resulted in a lower accuracy of 94.62% due to stronger light attenuation by the growing embryos. Finally, a reduced spectral range of 749 to 861 nm was found to be sufficient for correct classification of 98.46% of the eggs. This paves the way for high-throughput and cost-efficient usage of smaller and cheaper spectrophotometers in commercial hatcheries.

Identifiants

pubmed: 35339934
pii: S0032-5791(22)00090-6
doi: 10.1016/j.psj.2022.101782
pmc: PMC8960969
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101782

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Matthias Corion (M)

KU Leuven Department of Biosystems, MeBioS, 3001 Leuven, Belgium. Electronic address: matthias.corion@kuleuven.be.

Janos Keresztes (J)

KU Leuven Department of Biosystems, MeBioS, 3001 Leuven, Belgium.

Bart De Ketelaere (B)

KU Leuven Department of Biosystems, MeBioS, 3001 Leuven, Belgium.

Wouters Saeys (W)

KU Leuven Department of Biosystems, MeBioS, 3001 Leuven, Belgium.

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Classifications MeSH