ArticleJDS communications2025
Near-infrared spectroscopy analysis to predict urinary allantoin in dairy cows.
Article in JDS communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate quantification of rumen microbial proteins is essential in dairy cow nutrition to estimate the ruminal escape of dietary protein and microbial yield. Current quantification methods rely on indirect measurements using purine derivatives (PD). However, these methods require specialized laboratory equipment and trained personnel, resources which are often not available in farm settings. Near-infrared spectroscopy (NIR) has emerged as a powerful tool for predicting the attributes of biological samples, including meat, corn, soybeans, and liquids. Given that allantoin is the primary component in PD, this study aims to (1) develop a predictive model for allantoin levels in urine using NIR and (2) identify key spectral regions for future applications. A total of 182 urine samples were collected from 182 Holstein cows for colorimetric analysis of allantoin and spectral analysis. The raw spectra were preprocessed using scatter correlation methods and spectral derivatives. The partial least squares regression model achieved an R
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Registered trials
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