开发可转移的福里埃变换中红外光谱预测模型,用于水牛牛奶:一个时空应用战略分析跨乳制品农场
Han Jiang1,2, Peipei Wen1,2, Yikai Fan1,2
1Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China.
Foods (Basel, Switzerland)
|April 15, 2025
概括
里埃变换中红外光谱法 (FT-MIRS) 可以快速预测水牛牛奶脂肪,蛋白质和总固体. 这项研究开发了模型,并探索了在不同地点和时间有效应用它们的策略.
科学领域:
- 农业科学 农业科学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 目前缺少用于水牛牛奶成分的强大的富里埃变换中红外光谱 (FT-MIRS) 模型.
- 快速准确地确定水牛奶成分对于生产管理和遗传育种至关重要.
研究的目的:
- 开发FT-MIRS模型来预测水牛牛奶脂肪,蛋白质和总固体 (TS).
- 探索这些模型的时空应用策略,使其能够快速检测和强大的模型开发.
主要方法:
- 利用来自中国两家农场的614个水牛奶样本进行FT-MIRS分析.
- 采用了部分最小平方回归 (PLSR) 与各种预处理和特征选择方法.
- 通过结合来自不同农场的样本,研究了时间预测的准确性和空间模型的可转移性.
主要成果:
- 通过使用特定的PLSR组合和选择的波点,为脂肪,蛋白质和TS预测建立了最佳模型.
- 该TS模型证明了对同时样本的有效预测 (RPDV = 3.45).
- 将30-70%的新农场样本纳入该模型,提高了该模型对该农场的预测能力.
结论:
- FT-MIRS是一种可行的技术,用于快速预测水牛牛奶成分.
- 时空应用策略,包括样本增强,可以在建立完整的模型之前提高模型性能.
- 这项研究为高效的水牛牛奶分析和育种计划提供了基础.
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