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Journal Abstract Search
167 related items for PubMed ID: 19447976
1. Potential estimation of major mineral contents in cow milk using mid-infrared spectrometry. Soyeurt H, Bruwier D, Romnee JM, Gengler N, Bertozzi C, Veselko D, Dardenne P. J Dairy Sci; 2009 Jun; 92(6):2444-54. PubMed ID: 19447976 [Abstract] [Full Text] [Related]
2. Reproducibility and repeatability of measures of milk coagulation properties and predictive ability of mid-infrared reflectance spectroscopy. Dal Zotto R, De Marchi M, Cecchinato A, Penasa M, Cassandro M, Carnier P, Gallo L, Bittante G. J Dairy Sci; 2008 Oct; 91(10):4103-12. PubMed ID: 18832238 [Abstract] [Full Text] [Related]
3. Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries. Soyeurt H, Dehareng F, Gengler N, McParland S, Wall E, Berry DP, Coffey M, Dardenne P. J Dairy Sci; 2011 Apr; 94(4):1657-67. PubMed ID: 21426953 [Abstract] [Full Text] [Related]
4. Mid-infrared prediction of lactoferrin content in bovine milk: potential indicator of mastitis. Soyeurt H, Bastin C, Colinet FG, Arnould VM, Berry DP, Wall E, Dehareng F, Nguyen HN, Dardenne P, Schefers J, Vandenplas J, Weigel K, Coffey M, Théron L, Detilleux J, Reding E, Gengler N, McParland S. Animal; 2012 Nov; 6(11):1830-8. PubMed ID: 22717388 [Abstract] [Full Text] [Related]
8. Short communication: Variations in major mineral contents of Mediterranean buffalo milk and application of Fourier-transform infrared spectroscopy for their prediction. Stocco G, Cipolat-Gotet C, Bonfatti V, Schiavon S, Bittante G, Cecchinato A. J Dairy Sci; 2016 Nov 16; 99(11):8680-8686. PubMed ID: 27614834 [Abstract] [Full Text] [Related]
10. Predictive ability of mid-infrared spectroscopy for major mineral composition and coagulation traits of bovine milk by using the uninformative variable selection algorithm. Visentin G, Penasa M, Gottardo P, Cassandro M, De Marchi M. J Dairy Sci; 2016 Oct 16; 99(10):8137-8145. PubMed ID: 27522421 [Abstract] [Full Text] [Related]
11. Genetic and nongenetic variation in concentration of selenium, calcium, potassium, zinc, magnesium, and phosphorus in milk of Dutch Holstein-Friesian cows. van Hulzen KJ, Sprong RC, van der Meer R, van Arendonk JA. J Dairy Sci; 2009 Nov 16; 92(11):5754-9. PubMed ID: 19841235 [Abstract] [Full Text] [Related]
12. Validation of fatty acid predictions in milk using mid-infrared spectrometry across cattle breeds. Maurice-Van Eijndhoven MH, Soyeurt H, Dehareng F, Calus MP. Animal; 2013 Feb 16; 7(2):348-54. PubMed ID: 23031721 [Abstract] [Full Text] [Related]
13. Analysis of elements in wine using near infrared spectroscopy and partial least squares regression. Cozzolino D, Kwiatkowski MJ, Dambergs RG, Cynkar WU, Janik LJ, Skouroumounis G, Gishen M. Talanta; 2008 Jan 15; 74(4):711-6. PubMed ID: 18371698 [Abstract] [Full Text] [Related]
16. Short communication: Potential prediction of vitamin B12 concentration based on mid-infrared spectral data using Holstein Dairy Herd Improvement milk samples. Duplessis M, Pellerin D, Girard CL, Santschi DE, Soyeurt H. J Dairy Sci; 2020 Aug 15; 103(8):7540-7546. PubMed ID: 32505395 [Abstract] [Full Text] [Related]
17. 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 15; 99(6):4816-4825. PubMed ID: 27016835 [Abstract] [Full Text] [Related]