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Journal of Dairy Science|January 24, 2021
Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learningW Brand, A T Wells, S L Smith, et al.Journal of Animal Science|May 3, 2016
Genetic analysis of carcass traits in beef cattle using random regression modelsT M Englishby, G Banos, K L Moore, et al.Journal of Dairy Science|June 25, 2011
The use of mid-infrared spectrometry to predict body energy status of Holstein cowsS McParland, G Banos, E Wall, et al.Journal of Dairy Science|December 13, 2016
Genetic evaluation for bovine tuberculosis resistance in dairy cattleG Banos, M Winters, R Mrode, et al.Journal of Dairy Science|October 9, 2012
Validation of mid-infrared spectrometry in milk for predicting body energy status in Holstein-Friesian cowsS McParland, G Banos, B McCarthy, et al.Journal of Dairy Science|August 10, 2015
Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cowsJ E Pryce, O Gonzalez-Recio, G Nieuwhof, et al.Journal of Dairy Science|August 24, 2020
Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learningS J Denholm, W Brand, A P Mitchell, et al.Animal : an International Journal of Animal Bioscience|October 4, 2012
Genome-wide associations for feed utilisation complex in primiparous Holstein-Friesian dairy cows from experimental research herds in four European countriesR F Veerkamp, M P Coffey, D P Berry, et al.Journal of Dairy Science|January 9, 2025
Detection of genetic variability in dairy cattle infectivity for bovine tuberculosisD Madenci, E Sánchez-Molano, M Winters, et al.Journal of Dairy Science|September 4, 2008
Potential for estimation of body condition scores in dairy cattle from digital imagesJ M Bewley, A M Peacock, O Lewis, et al.Pageof 6