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Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions

Methods (San Diego, Calif.), 2021-02, Vol.186, p.97-111

2021

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A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra

Journal of dairy science, 2020-12, Vol.103 (12), p.11585-11596

2020

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Imputation of missing milk Fourier transform mid-infrared spectra using existing milk spectral databases: a strategy to improve the reliability of breeding values and predictive models

Journal of dairy science, 2023-12, Vol.106 (12), p.9095-9104

2023

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Defining a nitrogen efficiency index in Holstein cows and assessing its potential effect on the breeding program of bulls

Journal of dairy science, 2022-09, Vol.105 (9), p.7575-7587

2022

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Standardization of milk mid-infrared spectra from a European dairy network

Journal of dairy science, 2015-04, Vol.98 (4), p.2150-2160

2015

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Development of Fourier transform mid-infrared calibrations to predict acetone, β-hydroxybutyrate, and citrate contents in bovine milk through a European dairy network

Journal of dairy science, 2016-06, Vol.99 (6), p.4816-4825

2016

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Standardization of milk mid-infrared spectrometers for the transfer and use of multiple models

Journal of dairy science, 2017-10, Vol.100 (10), p.7910-7921

2017

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Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation

Animal (Cambridge, England), 2020-05, Vol.14 (5), p.1067-1075

2020

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Identification of chronic stress biomarkers in dairy cows

Animal (Cambridge, England), 2022-05, Vol.16 (5), p.100502

2022

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Capitalizing on fine milk composition for breeding and management of dairy cows

Journal of dairy science, 2016-05, Vol.99 (5), p.4071-4079

2016

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Body and milk traits as indicators of dairy cow energy status in early lactation

Journal of dairy science, 2019-09, Vol.102 (9), p.7904-7916

2019

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Development of a subacute ruminal acidosis risk score and its prediction using milk mid-infrared spectra in early-lactation cows

Journal of dairy science, 2021-04, Vol.104 (4), p.4615-4634

2021

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Assessing the effect of pregnancy stage on milk composition of dairy cows using mid-infrared spectra

Journal of dairy science, 2017-04, Vol.100 (4), p.2863-2876

2017

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Prediction of key milk biomarkers in dairy cows through milk MIR spectra and international collaborations

Journal of dairy science, 2023-10

2023

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Immunological effects of altering the concentrate inclusion level in a grass silage-based diet for early lactation Holstein Friesian cows

Animal (Cambridge, England), 2019-04, Vol.13 (4), p.799-809

2019

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Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?

Journal of dairy science, 2022-08, Vol.105 (8), p.6760-6772

2022

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Corrigendum to “Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers” (J. Dairy Sci. 102:2631–2644)

Journal of dairy science, 2019-04, Vol.102 (4), p.3778-3778

2019

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Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows

Journal of dairy science, 2021-04, Vol.104 (4), p.4413-4423

2021

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Prediction of key milk biomarkers in dairy cows through milk mid-infrared spectra and international collaborations

Journal of dairy science, 2024-03, Vol.107 (3), p.1669-1684

2024

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Use of a multivariate moving window PCA for the untargeted detection of contaminants in agro-food products, as exemplified by the detection of melamine levels in milk using vibrational spectroscopy

Chemometrics and intelligent laboratory systems, 2016-03, Vol.152, p.157-162

2016

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Potential of milk mid-IR spectra to predict metabolic status of cows through blood components and an innovative clustering approach

Animal (Cambridge, England), 2019-03, Vol.13 (3), p.649-658

2019

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Capitalizing on fine milk composition for breeding and management of dairy cows1

Journal of dairy science, 2016-05, Vol.99 (5), p.4071-4079

2016

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Prediction of pregnancy state from milk mid-infrared (MIR) spectroscopy in dairy cows

Acta fytotechnica et zootechnica, 2020-12, Vol.23 (Monothematic Issue), p.224-232

Rienesl, Lisa

2020

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Treatment of condylomatous lesions with isoprinosine compared to a non-treated control group. Multicenter study

Revue française de gynécologie et d'obstétrique, 1986-11, Vol.81 (11), p.643

1986

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Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions

A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra

Imputation of missing milk Fourier transform mid-infrared spectra using existing milk spectral databases: a strategy to improve the reliability of breeding values and predictive models

Defining a nitrogen efficiency index in Holstein cows and assessing its potential effect on the breeding program of bulls

Standardization of milk mid-infrared spectra from a European dairy network

Development of Fourier transform mid-infrared calibrations to predict acetone, β-hydroxybutyrate, and citrate contents in bovine milk through a European dairy network

Standardization of milk mid-infrared spectrometers for the transfer and use of multiple models

Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation

Identification of chronic stress biomarkers in dairy cows

Capitalizing on fine milk composition for breeding and management of dairy cows

Body and milk traits as indicators of dairy cow energy status in early lactation

Development of a subacute ruminal acidosis risk score and its prediction using milk mid-infrared spectra in early-lactation cows

Assessing the effect of pregnancy stage on milk composition of dairy cows using mid-infrared spectra

Prediction of key milk biomarkers in dairy cows through milk MIR spectra and international collaborations

Immunological effects of altering the concentrate inclusion level in a grass silage-based diet for early lactation Holstein Friesian cows

Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?

Corrigendum to “Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers” (J. Dairy Sci. 102:2631–2644)

Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows

Prediction of key milk biomarkers in dairy cows through milk mid-infrared spectra and international collaborations

Use of a multivariate moving window PCA for the untargeted detection of contaminants in agro-food products, as exemplified by the detection of melamine levels in milk using vibrational spectroscopy

Potential of milk mid-IR spectra to predict metabolic status of cows through blood components and an innovative clustering approach

Capitalizing on fine milk composition for breeding and management of dairy cows1

Prediction of pregnancy state from milk mid-infrared (MIR) spectroscopy in dairy cows

Comparative genomics and transcriptomics depict ericoid mycorrhizal fungi as versatile saprotrophs and plant mutualists

Treatment of condylomatous lesions with isoprinosine compared to a non-treated control group. Multicenter study

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