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快速选择牛奶中红外光谱以创建奶牛种群的世界代表性光谱数据库

H Soyeurt¹, S Franceschini¹, M Bahadi²

¹TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium.

Journal of dairy science

|July 21, 2024

概括

一种新方法创建了一个用于牛奶分析的世界代表性光谱数据库 (WRSD),通过计算光谱变异性来改进预测模型,并减少乳制品育种中的外推风险.

科学领域:

乳制品科学乳制品科学
频谱学是一种光谱学.
生物信息学是一种生物信息学.

背景情况:

中红外光谱仪为繁殖提供快速牛奶分析,但由于光谱变异性,可能会产生偏差预测.
校准模型必须考虑光谱多样性,以确保准确的乳制品特征预测.

研究的目的:

开发一种创新的方法来创建一个世界代表的光谱数据库 (WRSD).
为了最大限度地降低使用中红外光谱测量预测乳制品特征的光谱外推风险.
提高乳制品育种计划中牛奶分析的准确性和可靠性.

主要方法:

采用主要组件分析 (PCA) 和位置索引的双阶段选择程序.
基于PCA分数和光谱发生频率的代光谱选择.
使用超过2100万种牛奶光谱的大数据集开发WRSD.

主要成果:

创建了583,440个光谱的WRSD,代表了跨种群的光谱多样性 (2.00%-14.88%的选择率).
WRSD有效地捕捉了光谱变异性,一个假设的校准集覆盖了超过91%的数据库变异性.
确定需要额外的数据来代表特定的人口,如爱尔兰数据集,以尽量减少外推.

结论:

在乳品繁殖和牛奶分析方面,WRSD对于开发可靠的预测模型至关重要.
该方法通过确保具有代表性的光谱数据,有效地降低了光谱外推风险.
强调数据标准化和增加全球牛奶光谱多样性数据收集的重要性.

关键词:

方程是指一个方程.中等红外线中等红外线.牛奶牛奶牛奶牛奶

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