146 related articles for article (PubMed ID: 37863287)
1. Prediction of key milk biomarkers in dairy cows through milk mid-infrared spectra and international collaborations.
Grelet C; Larsen T; Crowe MA; Wathes DC; Ferris CP; Ingvartsen KL; Marchitelli C; Becker F; Vanlierde A; Leblois J; Schuler U; Auer FJ; Köck A; Dale L; Sölkner J; Christophe O; Hummel J; Mensching A; Fernández Pierna JA; Soyeurt H; Calmels M; Reding R; Gelé M; Chen Y; Gengler N; ; Dehareng F
J Dairy Sci; 2024 Mar; 107(3):1669-1684. PubMed ID: 37863287
[TBL] [Abstract][Full Text] [Related]
2. Development of Fourier transform mid-infrared calibrations to predict acetone, β-hydroxybutyrate, and citrate contents in bovine milk through a European dairy network.
Grelet C; Bastin C; Gelé M; Davière JB; Johan M; Werner A; Reding R; Fernandez Pierna JA; Colinet FG; Dardenne P; Gengler N; Soyeurt H; Dehareng F
J Dairy Sci; 2016 Jun; 99(6):4816-4825. PubMed ID: 27016835
[TBL] [Abstract][Full Text] [Related]
3. Prediction of blood β-hydroxybutyrate content and occurrence of hyperketonemia in early-lactation, pasture-grazed dairy cows using milk infrared spectra.
Bonfatti V; Turner SA; Kuhn-Sherlock B; Luke TDW; Ho PN; Phyn CVC; Pryce JE
J Dairy Sci; 2019 Jul; 102(7):6466-6476. PubMed ID: 31079906
[TBL] [Abstract][Full Text] [Related]
4. Opportunities and limitations of milk mid-infrared spectra-based estimation of acetone and β-hydroxybutyrate for the prediction of metabolic stress and ketosis in dairy cows.
Caldeira MO; Dan D; Neuheuser AL; Stürmlin R; Weber C; Glauser DL; Stierli M; Schuler U; Moll J; Wegmann S; Bruckmaier RM; Gross JJ
J Dairy Res; 2020 May; 87(2):196-203. PubMed ID: 32308161
[TBL] [Abstract][Full Text] [Related]
5. Predicting blood β-hydroxybutyrate using milk Fourier transform infrared spectrum, milk composition, and producer-reported variables with multiple linear regression, partial least squares regression, and artificial neural network.
Pralle RS; Weigel KW; White HM
J Dairy Sci; 2018 May; 101(5):4378-4387. PubMed ID: 29477523
[TBL] [Abstract][Full Text] [Related]
6. Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?
Franceschini S; Grelet C; Leblois J; Gengler N; Soyeurt H;
J Dairy Sci; 2022 Aug; 105(8):6760-6772. PubMed ID: 35773033
[TBL] [Abstract][Full Text] [Related]
7. Metabolic profiling of early-lactation dairy cows using milk mid-infrared spectra.
Luke TDW; Rochfort S; Wales WJ; Bonfatti V; Marett L; Pryce JE
J Dairy Sci; 2019 Feb; 102(2):1747-1760. PubMed ID: 30594377
[TBL] [Abstract][Full Text] [Related]
8. Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data.
Mota LFM; Pegolo S; Baba T; Peñagaricano F; Morota G; Bittante G; Cecchinato A
J Dairy Sci; 2021 Jul; 104(7):8107-8121. PubMed ID: 33865589
[TBL] [Abstract][Full Text] [Related]
9. Genetic and nongenetic profiling of milk β-hydroxybutyrate and acetone and their associations with ketosis in Holstein cows.
Klein SL; Scheper C; May K; König S
J Dairy Sci; 2020 Nov; 103(11):10332-10346. PubMed ID: 32952022
[TBL] [Abstract][Full Text] [Related]
10. Routine detection of hyperketonemia in dairy cows using Fourier transform infrared spectroscopy analysis of β-hydroxybutyrate and acetone in milk in combination with test-day information.
van der Drift SGA; Jorritsma R; Schonewille JT; Knijn HM; Stegeman JA
J Dairy Sci; 2012 Sep; 95(9):4886-4898. PubMed ID: 22916893
[TBL] [Abstract][Full Text] [Related]
11. Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers.
De Koster J; Salavati M; Grelet C; Crowe MA; Matthews E; O'Flaherty R; Opsomer G; Foldager L; ; Hostens M
J Dairy Sci; 2019 Mar; 102(3):2631-2644. PubMed ID: 30692010
[TBL] [Abstract][Full Text] [Related]
12. Short communication: Validation of a test-day milk test for β-hydroxybutyrate for identifying cows with hyperketonemia.
Renaud DL; Kelton DF; Duffield TF
J Dairy Sci; 2019 Feb; 102(2):1589-1593. PubMed ID: 30471903
[TBL] [Abstract][Full Text] [Related]
13. Genetic parameters of blood β-hydroxybutyrate predicted from milk infrared spectra and clinical ketosis, and their associations with milk production traits in Norwegian Red cows.
Belay TK; Svendsen M; Kowalski ZM; Ådnøy T
J Dairy Sci; 2017 Aug; 100(8):6298-6311. PubMed ID: 28571993
[TBL] [Abstract][Full Text] [Related]
14. Predicting hyperketonemia by logistic and linear regression using test-day milk and performance variables in early-lactation Holstein and Jersey cows.
Chandler TL; Pralle RS; Dórea JRR; Poock SE; Oetzel GR; Fourdraine RH; White HM
J Dairy Sci; 2018 Mar; 101(3):2476-2491. PubMed ID: 29290445
[TBL] [Abstract][Full Text] [Related]
15. Predictive ability of host genetics and rumen microbiome for subclinical ketosis.
Gebreyesus G; Difford GF; Buitenhuis B; Lassen J; Noel SJ; Højberg O; Plichta DR; Zhu Z; Poulsen NA; Sundekilde UK; Løvendahl P; Sahana G
J Dairy Sci; 2020 May; 103(5):4557-4569. PubMed ID: 32197852
[TBL] [Abstract][Full Text] [Related]
16. Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation.
Krogh MA; Hostens M; Salavati M; Grelet C; Sorensen MT; Wathes DC; Ferris CP; Marchitelli C; Signorelli F; Napolitano F; Becker F; Larsen T; Matthews E; Carter F; Vanlierde A; Opsomer G; Gengler N; Dehareng F; Crowe MA; Ingvartsen KL; Foldager L
Animal; 2020 May; 14(5):1067-1075. PubMed ID: 31694730
[TBL] [Abstract][Full Text] [Related]
17. Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation.
Grelet C; Froidmont E; Foldager L; Salavati M; Hostens M; Ferris CP; Ingvartsen KL; Crowe MA; Sorensen MT; Fernandez Pierna JA; Vanlierde A; Gengler N; ; Dehareng F
J Dairy Sci; 2020 May; 103(5):4435-4445. PubMed ID: 32147266
[TBL] [Abstract][Full Text] [Related]
18. Potential of milk mid-IR spectra to predict metabolic status of cows through blood components and an innovative clustering approach.
Grelet C; Vanlierde A; Hostens M; Foldager L; Salavati M; Ingvartsen KL; Crowe M; Sorensen MT; Froidmont E; Ferris CP; Marchitelli C; Becker F; Larsen T; Carter F; ; Dehareng F
Animal; 2019 Mar; 13(3):649-658. PubMed ID: 29987991
[TBL] [Abstract][Full Text] [Related]
19. Transition cow nutrition and management strategies of dairy herds in the northeastern United States: Part II-Associations of metabolic- and inflammation-related analytes with health, milk yield, and reproduction.
Kerwin AL; Burhans WS; Mann S; Nydam DV; Wall SK; Schoenberg KM; Perfield KL; Overton TR
J Dairy Sci; 2022 Jun; 105(6):5349-5369. PubMed ID: 35469642
[TBL] [Abstract][Full Text] [Related]
20. Accuracy of milk ketone bodies from flow-injection analysis for the diagnosis of hyperketonemia in dairy cows.
Denis-Robichaud J; Dubuc J; Lefebvre D; DesCôteaux L
J Dairy Sci; 2014; 97(6):3364-70. PubMed ID: 24657085
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
