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263 related items for PubMed ID: 32331888
1. Mid-infrared spectrometry prediction of the cheese-making properties of raw Montbéliarde milks from herds and cheese dairy vats used for the production of Protected Designation of Origin and Protected Geographical Indication cheeses in Franche-Comté. El Jabri M, Trossat P, Wolf V, Beuvier E, Rolet-Répécaud O, Gavoye S, Gaüzère Y, Belysheva O, Gaudillière N, Notz E, Grosperrin P, Laithier C, Delacroix-Buchet A. J Dairy Sci; 2020 Jul; 103(7):5992-6002. PubMed ID: 32331888 [Abstract] [Full Text] [Related]
2. 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 [Abstract] [Full Text] [Related]
3. Comparison between genetic parameters of cheese yield and nutrient recovery or whey loss traits measured from individual model cheese-making methods or predicted from unprocessed bovine milk samples using Fourier-transform infrared spectroscopy. Bittante G, Ferragina A, Cipolat-Gotet C, Cecchinato A. J Dairy Sci; 2014 Oct; 97(10):6560-72. PubMed ID: 25108864 [Abstract] [Full Text] [Related]
5. Prediction of indicators of cow diet composition and authentication of feeding specifications of Protected Designation of Origin cheese using mid-infrared spectroscopy on milk. Coppa M, Martin B, Hulin S, Guillemin J, Gauzentes JV, Pecou A, Andueza D. J Dairy Sci; 2021 Jan; 104(1):112-125. PubMed ID: 33162089 [Abstract] [Full Text] [Related]
6. The use of milk Fourier-transform infrared spectra for predicting cheesemaking traits in Grana Padano Protected Designation of Origin cheese. Molle A, Cipolat-Gotet C, Stocco G, Ferragina A, Berzaghi P, Summer A. J Dairy Sci; 2024 Apr; 107(4):1967-1979. PubMed ID: 37863286 [Abstract] [Full Text] [Related]
7. Short communication: Fourier-transform mid-infrared spectroscopy to predict coagulation and acidity traits of sheep bulk milk. Manuelian CL, Penasa M, Giangolini G, Boselli C, Currò S, De Marchi M. J Dairy Sci; 2019 Mar; 102(3):1927-1932. PubMed ID: 30612792 [Abstract] [Full Text] [Related]
8. Genetic parameters of different measures of cheese yield and milk nutrient recovery from an individual model cheese-manufacturing process. Bittante G, Cipolat-Gotet C, Cecchinato A. J Dairy Sci; 2013 Mar; 96(12):7966-79. PubMed ID: 24094539 [Abstract] [Full Text] [Related]
9. Prediction of bovine milk technological traits from mid-infrared spectroscopy analysis in dairy cows. Visentin G, McDermott A, McParland S, Berry DP, Kenny OA, Brodkorb A, Fenelon MA, De Marchi M. J Dairy Sci; 2015 Sep; 98(9):6620-9. PubMed ID: 26188572 [Abstract] [Full Text] [Related]
14. 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]
15. Genetic and environmental relationships of different measures of individual cheese yield and curd nutrients recovery with coagulation properties of bovine milk. Cecchinato A, Bittante G. J Dairy Sci; 2016 Mar; 99(3):1975-1989. PubMed ID: 26805996 [Abstract] [Full Text] [Related]
17. Breed of cow and herd productivity affect milk nutrient recovery in curd, and cheese yield, efficiency and daily production. Stocco G, Cipolat-Gotet C, Gasparotto V, Cecchinato A, Bittante G. Animal; 2018 Feb; 12(2):434-444. PubMed ID: 28712377 [Abstract] [Full Text] [Related]
18. The use of Fourier-transform infrared spectroscopy to predict cheese yield and nutrient recovery or whey loss traits from unprocessed bovine milk samples. Ferragina A, Cipolat-Gotet C, Cecchinato A, Bittante G. J Dairy Sci; 2013 Feb; 96(12):7980-90. PubMed ID: 24094534 [Abstract] [Full Text] [Related]
19. 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; 99(10):8137-8145. PubMed ID: 27522421 [Abstract] [Full Text] [Related]
20. Mid-infrared spectroscopy predictions as indicator traits in breeding programs for enhanced coagulation properties of milk. Cecchinato A, De Marchi M, Gallo L, Bittante G, Carnier P. J Dairy Sci; 2009 Oct; 92(10):5304-13. PubMed ID: 19762848 [Abstract] [Full Text] [Related] Page: [Next] [New Search]