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利用可见-近红外光谱技术对具有性别特异性颜色的棕色品种鸡蛋进行胚蛋性别鉴定:孵化日和测量配置的影响。

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.

机构信息

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

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

出版信息

Poult Sci. 2022 May;101(5):101782. doi: 10.1016/j.psj.2022.101782. Epub 2022 Feb 16.

Abstract

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.

摘要

雏鸡性别鉴定是蛋鸡行业中的一个动物福利问题,引起了广泛的伦理关注。人们正在寻找替代方法,以便在胚胎发育阶段预先选择雄性。这种方法称为胚胎性别鉴定,可实现更人道的雄性淘汰。本研究开发并验证了一种强大且非侵入性的胚胎颜色性别鉴定技术。为此,使用了可见-近红外(vis-NIR)点光谱法,与最先进的高光谱成像技术相比,该方法在准确性和成本方面具有优势。两个独立的实验分别在一批 600 个 Isa Brown 鸡蛋上进行。这些鸡蛋在孵化的第 8 至 14 天和第 18 天分别用卤素灯进行个体照射,并在 vis-NIR 范围内(300 至 1145nm)测量信号。接下来,应用了最佳预处理策略,并建立了偏最小二乘判别分析(PLS-DA)模型,在进行正向间隔偏最小二乘(FiPLS)变量选择后对模型进行了进一步优化。结果表明,在第 12 天进行 vis-NIR 胚胎性别鉴定为时过早,预测准确率为 86.49%。然而,在孵化 13 天后,准确率提高到 97.78%,在第 14 天达到 99.52%。此外,这些准确率高于先前报道的高光谱成像百分比,并且可以从第 14 天提前到第 13 天实现成功性别鉴定。此外,通过使用第 0 天蛋壳校正来校正蛋壳特性的可变性,在第 13 天可以获得高达 99.05%的预测改进。在第 18 天应用该方法的准确率较低,为 94.62%,这是因为胚胎生长导致光衰减更强。最后,发现光谱范围为 749 至 861nm 足以对 98.46%的鸡蛋进行正确分类。这为在商业孵化场中使用更小、更便宜的分光光度计进行高通量和具有成本效益的使用铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7870/8960969/5803f5387af0/gr2.jpg

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