ArticleFoods (Basel, Switzerland)2021
Multiple Breeds and Countries' Predictions of Mineral Contents in Milk from Milk Mid-Infrared Spectrometry.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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
8 citing papers in PubMed.
- Enhancing FT-MIR Prediction of Short-Chain Free Fatty Acids in Milk Through High-Lipolysis Field Samples, Reference Method Evaluation and Machine Learning Approaches.Foods (Basel, Switzerland) · 2026Article
- Article
- Prediction of heat stress response in dairy cows using milk mid-infrared spectra.Scientific reports · 2026Article
- Stress detection/assement in dairy cows by the determination of cortisol in hair by near-infrared (NIR), mid-infrared (MIR) and Raman spectroscopy.Scientific reports · 2025Article
- Mineral Profiles Characteristics in Milk from Dairy Cows in Xinjiang, China, and Production Plan for Season-Dependent High-Calcium Milk Sources.Foods (Basel, Switzerland) · 2025Article
- Fourier transform mid-infrared milk screening to improve milk production and processing.JDS communications · 2023Review
- Association between Days Open and Parity, Calving Season or Milk Spectral Data.Animals : an open access journal from MDPI · 2023Article
- Prediction of Indirect Indicators of a Grass-Based Diet by Milk Fourier Transform Mid-Infrared Spectroscopy to Assess the Feeding Typologies of Dairy Farms.Animals : an open access journal from MDPI · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measuring the mineral composition of milk is of major interest in the dairy sector. This study aims to develop and validate robust multi-breed and multi-country models predicting the major minerals through milk mid-infrared spectrometry using partial least square regressions. A total of 1281 samples coming from five countries were analyzed to obtain spectra and in ICP-AES to measure the mineral reference contents. Models were built from records coming from four countries (
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Registered trials
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