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首页> 外文期刊>Journal of dairy research >Fourier transform infrared spectroscopy of milk samples as a tool to estimate energy balance,energy-and dry matter intake in lactating dairy cows
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Fourier transform infrared spectroscopy of milk samples as a tool to estimate energy balance,energy-and dry matter intake in lactating dairy cows

机译：傅里叶变换牛奶样品的红外光谱作为估计能量平衡，能量和干物质摄入乳酸奶牛的工具

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摘要

The objective of the study was to evaluate the potential of Fourier transform infrared spectroscopy (FTIR) analysis of milk samples to predict body energy status and related traits (energy balance (EB), dry matter intake (DMI) and efficient energy intake (EEI)) in lactating dairy cows. The data included 2371 milk samples from 63 Norwegian Red dairy cows collected during the first 105 days in milk (DIM). To predict the body energy status traits, calibration models were developed using Partial Least Squares Regression (PLSR). Calibration models were established using split-sample (leave-one cow-out) cross-validation approach and validated using an external test set. The PLSR method was implemented using just the FTIR spectra or using the FTIR together with milk yield (MY) or concentrate intake (CONCTR) as predictors of traits. Analyses were conducted for the entire first 105 DIM and separately for the two lactation periods: 5≤DIM≤55 and 55＜DIM≤105. To test the models, an external validation using an independent test set was performed. Predictions depending on the parity (1st, 2nd and 3rd-to 6th parities) in early lactation were also investigated. Accuracy of prediction (r) for both cross-validation and external test set was defined as the correlation between the predicted and observed values for body energy status traits. Analyzing FTIR in combination with MY by PLSR, resulted in relatively high r-values to estimate EB (r = 0.63), DMI (r = 0.83), EEI (r = 0.84) using an external validation. Only moderate correlations between FTIR spectra and traits like EB, EEI and dry matter intake (DMI) have so far been published. Our hypothesis was that improvements in the FTIR predictions of EB, EEI and DMI can be obtained by (1) stratification into different stages of lactations and different parities, or (2) by adding additional information on milking and feeding traits. Stratification of the lactation stages improved predictions compared with the analyses including all data 5≤DIM≤105. The accuracy was improved if additional data (MY or CONCTR) were included in the prediction model. Furthermore, stratification into parity groups, improved the predictions of body energy status. Our results show that FTIR spectral data combined with MY or CONCTR can be used to obtain improved estimation of body energy status compared to only using the FTIR spectra in Norwegian Red dairy cattle. The best prediction results were achieved using FTIR spectra together with MY for early lactation. The results obtained in the study suggest that the modeling approach used in this paper can be considered as a viable method for predicting an individual cow's energy status.
机译：该研究的目的是评估傅立叶变换红外光谱（FTIR）分析牛奶样品的潜力，以预测身体能量状态和相关性状（能量平衡（EB），干物质摄入（DMI）和有效的能量摄入（EEI） ）在哺乳奶牛。这些数据包括在牛奶（DIM）的前105天内收集的63个挪威红乳奶奶牛2371牛奶样品。为了预测身体能量状态特征，使用偏最小二乘回归（PLSR）开发校准模型。使用Split-Sample（休假）交叉验证方法建立校准模型并使用外部测试集进行验证。 PLSR方法使用FTIR光谱或使用FTIR与牛奶产量（我的）或浓缩（Conctr）作为特征的预测因子。对整个第一105次暗集进行分析，分别为两个哺乳期：5≤DIM≤55和55

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  • 来源
    《Journal of dairy research》 |2020年第4期|436-443|共8页
  • 作者

    Amira Rachah; Olav Reksen; Nils Kristian Afseth; Valeria Tafintseva; Sabine Ferneborg; Adam Dunstan Martin; Achim Kohler; Egil Prestlokken;

  • 作者单位

    Faculty of Veterinary Medicine Norwegian University of Life Sciences Oslo Norway Department of Sustainable Energy Technology Sintef Industry Trondheim Norway;

    Faculty of Veterinary Medicine Norwegian University of Life Sciences Oslo Norway;

    Nofima AS Norwegian Institute of Food Fisheries and Aquaculture Research As Norway;

    Faculty of Science and Technology Norwegian University of Life Sciences As Norway;

    Department of Animal and Aquacultural Sciences Faculty of Biosciences Norwegian University of Life Sciences As Norway;

    Faculty of Veterinary Medicine Norwegian University of Life Sciences Oslo Norway;

    Faculty of Science and Technology Norwegian University of Life Sciences As Norway;

    Department of Animal and Aquacultural Sciences Faculty of Biosciences Norwegian University of Life Sciences As Norway;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy balance; Partial Least Squares Regression; prediction; Fourier transform infrared spectroscopy;

    机译：能量平衡;部分最小二乘回归;预言;傅里叶变换红外光谱;

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