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Journal Abstract Search

228 related items for PubMed ID: 24268398

  • 1. Prediction of fatty acid profiles in cow, ewe, and goat milk by mid-infrared spectrometry.
    Ferrand-Calmels M, Palhière I, Brochard M, Leray O, Astruc JM, Aurel MR, Barbey S, Bouvier F, Brunschwig P, Caillat H, Douguet M, Faucon-Lahalle F, Gelé M, Thomas G, Trommenschlager JM, Larroque H.
    J Dairy Sci; 2014; 97(1):17-35. PubMed ID: 24268398
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  • 6. Genetic parameter estimation for major milk fatty acids in Alpine and Saanen primiparous goats.
    Maroteau C, Palhière I, Larroque H, Clément V, Ferrand M, Tosser-Klopp G, Rupp R.
    J Dairy Sci; 2014 May; 97(5):3142-55. PubMed ID: 24612796
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  • 7. 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
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  • 8. Quantification of individual fatty acids in bovine milk by infrared spectroscopy and chemometrics: understanding predictions of highly collinear reference variables.
    Eskildsen CE, Rasmussen MA, Engelsen SB, Larsen LB, Poulsen NA, Skov T.
    J Dairy Sci; 2014 Dec; 97(12):7940-51. PubMed ID: 25306267
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  • 9. Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows.
    El Jabri M, Sanchez MP, Trossat P, Laithier C, Wolf V, Grosperrin P, Beuvier E, Rolet-Répécaud O, Gavoye S, Gaüzère Y, Belysheva O, Notz E, Boichard D, Delacroix-Buchet A.
    J Dairy Sci; 2019 Aug; 102(8):6943-6958. PubMed ID: 31178172
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  • 10. Estimation of genetic and crossbreeding parameters of fatty acid concentrations in milk fat predicted by mid-infrared spectroscopy in New Zealand dairy cattle.
    Lopez-Villalobos N, Spelman RJ, Melis J, Davis SR, Berry SD, Lehnert K, Holroyd SE, MacGibbon AK, Snell RG.
    J Dairy Res; 2014 Aug; 81(3):340-9. PubMed ID: 25052435
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  • 13. Genomic selection of milk fatty acid composition in Sarda dairy sheep: Effect of different phenotypes and relationship matrices on heritability and breeding value accuracy.
    Cesarani A, Gaspa G, Correddu F, Cellesi M, Dimauro C, Macciotta NPP.
    J Dairy Sci; 2019 Apr; 102(4):3189-3203. PubMed ID: 30799105
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  • 15. Identification and quantification of goat milk adulteration using mid-infrared spectroscopy and chemometrics.
    Du C, Zhao X, Chu C, Nan L, Ren X, Yan L, Zhang X, Zhang S, Teng Z.
    Spectrochim Acta A Mol Biomol Spectrosc; 2025 Jan 05; 324():124969. PubMed ID: 39153347
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  • 17. Genetic correlations of milk fatty acid contents predicted from milk mid-infrared spectra in New Zealand dairy cattle.
    Lopez-Villalobos N, Spelman RJ, Melis J, Davis SR, Berry SD, Lehnert K, Sneddon NW, Holroyd SE, MacGibbon AK, Snell RG.
    J Dairy Sci; 2020 Aug 05; 103(8):7238-7248. PubMed ID: 32534926
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  • 18. Genetic parameters of milk fatty acid profile in sheep: comparison between gas chromatographic measurements and Fourier-transform IR spectroscopy predictions.
    Correddu F, Cellesi M, Serdino J, Manca MG, Contu M, Dimauro C, Ibba I, Macciotta NPP.
    Animal; 2019 Mar 05; 13(3):469-476. PubMed ID: 30012236
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  • 19. Short communication: Diet-induced variations in milk fatty acid composition have minor effects on the estimated melting point of milk fat in cows, goats, and ewes: Insights from a meta-analysis.
    Toral PG, Bernard L, Chilliard Y, Glasser F.
    J Dairy Sci; 2013 Feb 05; 96(2):1232-6. PubMed ID: 23219127
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  • 20. Comparison of near and medium infrared spectroscopy to predict fatty acid composition on fresh and thawed milk.
    Coppa M, Revello-Chion A, Giaccone D, Ferlay A, Tabacco E, Borreani G.
    Food Chem; 2014 May 01; 150():49-57. PubMed ID: 24360418
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