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Journal Abstract Search
400 related items for PubMed ID: 21426953
1. 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]
2. 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; 7(2):348-54. PubMed ID: 23031721 [Abstract] [Full Text] [Related]
3. Differences in milk fat composition predicted by mid-infrared spectrometry among dairy cattle breeds in the Netherlands. Maurice-Van Eijndhoven MHT, Bovenhuis H, Soyeurt H, Calus MPL. J Dairy Sci; 2013 Apr; 96(4):2570-2582. PubMed ID: 23375975 [Abstract] [Full Text] [Related]
9. Bayesian regression models outperform partial least squares methods for predicting milk components and technological properties using infrared spectral data. Ferragina A, de los Campos G, Vazquez AI, Cecchinato A, Bittante G. J Dairy Sci; 2015 Nov; 98(11):8133-51. PubMed ID: 26387015 [Abstract] [Full Text] [Related]
16. Prediction of individual milk proteins including free amino acids in bovine milk using mid-infrared spectroscopy and their correlations with milk processing characteristics. McDermott A, Visentin G, De Marchi M, Berry DP, Fenelon MA, O'Connor PM, Kenny OA, McParland S. J Dairy Sci; 2016 Apr; 99(4):3171-3182. PubMed ID: 26830742 [Abstract] [Full Text] [Related]