Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

G Bittante

Showing results (11-20 of 109) with videos related to

Pageof 11
Sort By:
Journal of Dairy Science|June 1, 1997
Effect of monensin on milk production and efficiency of dairy cows fed two diets differing in forage to concentrate ratiosM Ramanzin, L Bailoni, S Schiavon, et al.
Journal of Dairy Science|February 4, 2020
Milk coagulation traits and cheese yields of purebred Holsteins and 4 generations of 3-breed rotational crossbred cows from Viking Red, Montbéliarde, and Holstein bullsS Saha, N Amalfitano, G Bittante, et al.
Journal of Animal Science|March 23, 2013
Genetics of slaughter precocity, carcass weight, and carcass weight gain in Chianina, Marchigiana, and Romagnola young bulls under protected geographical indicationF Sbarra, R Mantovani, A Quaglia, et al.
Journal of Dairy Science|August 11, 2014
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 spectroscopyG Bittante, A Ferragina, C Cipolat-Gotet, et al.
Animal : an International Journal of Animal Bioscience|July 18, 2017
Inferring genetic parameters on latent variables underlying milk yield and quality, protein composition, curd firmness and cheese-making traits in dairy cattleC Dadousis, C Cipolat-Gotet, G Bittante, et al.
Meat Science|October 27, 2012
The relevance of different near infrared technologies and sample treatments for predicting meat quality traits in commercial beef cutsM De Marchi, M Penasa, A Cecchinato, et al.
Journal of Dairy Science|October 8, 2013
The use of Fourier-transform infrared spectroscopy to predict cheese yield and nutrient recovery or whey loss traits from unprocessed bovine milk samplesA Ferragina, C Cipolat-Gotet, A Cecchinato, et al.
Journal of Dairy Science|December 29, 2015
The 9-MilCA method as a rapid, partly automated protocol for simultaneously recording milk coagulation, curd firming, syneresis, cheese yield, and curd nutrients recovery or whey lossC Cipolat-Gotet, A Cecchinato, G Stocco, et al.
Journal of Dairy Science|May 16, 2016
The nonlinear effect of somatic cell count on milk composition, coagulation properties, curd firmness modeling, cheese yield, and curd nutrient recoveryT Bobbo, C Cipolat-Gotet, G Bittante, et al.
Journal of Dairy Science|September 4, 2019
Detailed macro- and micromineral profile of milk: Effects of herd productivity, parity, and stage of lactation of cows of 6 dairy and dual-purpose breedsG Stocco, A Summer, M Malacarne, et al.
Pageof 11

Showing results (11-20 of 109) with videos related to

Sort By:
Pageof 11
Journal of Dairy Science|June 1, 1997
Effect of monensin on milk production and efficiency of dairy cows fed two diets differing in forage to concentrate ratiosM Ramanzin, L Bailoni, S Schiavon, et al.
Journal of Dairy Science|February 4, 2020
Milk coagulation traits and cheese yields of purebred Holsteins and 4 generations of 3-breed rotational crossbred cows from Viking Red, Montbéliarde, and Holstein bullsS Saha, N Amalfitano, G Bittante, et al.
Journal of Animal Science|March 23, 2013
Genetics of slaughter precocity, carcass weight, and carcass weight gain in Chianina, Marchigiana, and Romagnola young bulls under protected geographical indicationF Sbarra, R Mantovani, A Quaglia, et al.
Journal of Dairy Science|August 11, 2014
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 spectroscopyG Bittante, A Ferragina, C Cipolat-Gotet, et al.
Animal : an International Journal of Animal Bioscience|July 18, 2017
Inferring genetic parameters on latent variables underlying milk yield and quality, protein composition, curd firmness and cheese-making traits in dairy cattleC Dadousis, C Cipolat-Gotet, G Bittante, et al.
Meat Science|October 27, 2012
The relevance of different near infrared technologies and sample treatments for predicting meat quality traits in commercial beef cutsM De Marchi, M Penasa, A Cecchinato, et al.
Journal of Dairy Science|October 8, 2013
The use of Fourier-transform infrared spectroscopy to predict cheese yield and nutrient recovery or whey loss traits from unprocessed bovine milk samplesA Ferragina, C Cipolat-Gotet, A Cecchinato, et al.
Journal of Dairy Science|December 29, 2015
The 9-MilCA method as a rapid, partly automated protocol for simultaneously recording milk coagulation, curd firming, syneresis, cheese yield, and curd nutrients recovery or whey lossC Cipolat-Gotet, A Cecchinato, G Stocco, et al.
Journal of Dairy Science|May 16, 2016
The nonlinear effect of somatic cell count on milk composition, coagulation properties, curd firmness modeling, cheese yield, and curd nutrient recoveryT Bobbo, C Cipolat-Gotet, G Bittante, et al.
Journal of Dairy Science|September 4, 2019
Detailed macro- and micromineral profile of milk: Effects of herd productivity, parity, and stage of lactation of cows of 6 dairy and dual-purpose breedsG Stocco, A Summer, M Malacarne, et al.
Pageof 11