Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Rodriguez-Saona, L.E.
Koca, N.
Harper, W.J.
and
Alvarez, V.B.
2006.
Rapid Determination of Swiss Cheese Composition by Fourier Transform Infrared/Attenuated Total Reflectance Spectroscopy.
Journal of Dairy Science,
Vol. 89,
Issue. 5,
p.
1407.
Borin, Alessandra
Ferrão, Marco Flôres
Mello, Cesar
Maretto, Danilo Althmann
and
Poppi, Ronei Jesus
2006.
Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk.
Analytica Chimica Acta,
Vol. 579,
Issue. 1,
p.
25.
Berget, I.
Martens, H.
Kohler, A.
Sjurseth, S.K.
Afseth, N.K.
Narum, B.
Ådnøy, T.
and
Lien, S.
2010.
Caprine CSN1S1 haplotype effect on gene expression and milk composition measured by Fourier transform infrared spectroscopy.
Journal of Dairy Science,
Vol. 93,
Issue. 9,
p.
4340.
Karoui, Romdhane
Downey, Gerard
and
Blecker, Christophe
2010.
Mid-Infrared Spectroscopy Coupled with Chemometrics: A Tool for the Analysis of Intact Food Systems and the Exploration of Their Molecular Structure−Quality Relationships − A Review.
Chemical Reviews,
Vol. 110,
Issue. 10,
p.
6144.
Frederiksen, Pernille Dorthea
Hammershøj, Marianne
Bakman, Mette
Andersen, Per Nyegaard
Andersen, Jens Bech
Qvist, Karsten Bruun
and
Larsen, Lotte Bach
2011.
Variations in coagulation properties of cheese milk from three Danish dairy breeds as determined by a new free oscillation rheometry-based method.
Dairy Science & Technology,
Vol. 91,
Issue. 3,
p.
309.
Rutten, M.J.M.
Bovenhuis, H.
Heck, J.M.L.
and
van Arendonk, J.A.M.
2011.
Predicting bovine milk protein composition based on Fourier transform infrared spectra.
Journal of Dairy Science,
Vol. 94,
Issue. 11,
p.
5683.
Soyeurt, H.
Bastin, C.
Colinet, F.G.
Arnould, V.M.-R.
Berry, D.P.
Wall, E.
Dehareng, F.
Nguyen, H.N.
Dardenne, P.
Schefers, J.
Vandenplas, J.
Weigel, K.
Coffey, M.
Théron, L.
Detilleux, J.
Reding, E.
Gengler, N.
and
McParland, S.
2012.
Mid-infrared prediction of lactoferrin content in bovine milk: potential indicator of mastitis.
Animal,
Vol. 6,
Issue. 11,
p.
1830.
Capuano, Edoardo
Rademaker, Jan
van den Bijgaart, Harrie
and
M. van Ruth, Saskia
2014.
Verification of fresh grass feeding, pasture grazing and organic farming by FTIR spectroscopy analysis of bovine milk.
Food Research International,
Vol. 60,
Issue. ,
p.
59.
Gustavsson, F.
Buitenhuis, A.J.
Johansson, M.
Bertelsen, H.P.
Glantz, M.
Poulsen, N.A.
Lindmark Månsson, H.
Stålhammar, H.
Larsen, L.B.
Bendixen, C.
Paulsson, M.
and
Andrén, A.
2014.
Effects of breed and casein genetic variants on protein profile in milk from Swedish Red, Danish Holstein, and Danish Jersey cows.
Journal of Dairy Science,
Vol. 97,
Issue. 6,
p.
3866.
Bassbasi, M.
Platikanov, S.
Tauler, R.
and
Oussama, A.
2014.
FTIR-ATR determination of solid non fat (SNF) in raw milk using PLS and SVM chemometric methods.
Food Chemistry,
Vol. 146,
Issue. ,
p.
250.
De Marchi, M.
Toffanin, V.
Cassandro, M.
and
Penasa, M.
2014.
Invited review: Mid-infrared spectroscopy as phenotyping tool for milk traits.
Journal of Dairy Science,
Vol. 97,
Issue. 3,
p.
1171.
Gregersen, V.R.
Gustavsson, F.
Glantz, M.
Christensen, O.F.
Stålhammar, H.
Andrén, A.
Lindmark-Månsson, H.
Poulsen, N.A.
Larsen, L.B.
Paulsson, M.
and
Bendixen, C.
2015.
Bovine chromosomal regions affecting rheological traits in rennet-induced skim milk gels.
Journal of Dairy Science,
Vol. 98,
Issue. 2,
p.
1261.
Liao, J.
Ku, T.
Liu, Y. F.
and
Zhao, J.
2018.
Assessment of milk quality based on bovine BAF60c gene mutation.
The Journal of Agricultural Science,
Vol. 156,
Issue. 4,
p.
570.
Elsohaby, I.
McClure, J.T.
Dow, N.
and
Keefe, G.P.
2018.
Effect of Heat‐treatment on Accuracy of Infrared Spectroscopy and Digital and Optical Brix Refractometers for Measuring Immunoglobulin G Concentration in Bovine Colostrum.
Journal of Veterinary Internal Medicine,
Vol. 32,
Issue. 1,
p.
491.
Bresolin, Tiago
and
Dórea, João R. R.
2020.
Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems.
Frontiers in Genetics,
Vol. 11,
Issue. ,
Ferraccioli, Federico
Casa, Alessandro
and
Stefanucci, Marco
2024.
An adaptive functional regression framework for locally heterogeneous signals in spectroscopy.
Journal of the Royal Statistical Society Series C: Applied Statistics,