|A 100-Year Review: Identification and genetic selection of economically important traits in dairy cattle|
F Miglior, A Fleming, F Malchiodi, LF Brito, P Martin, CF Baes
Journal of dairy science 100 (12), 10251-10271, 2017
|Invited review: Reproductive and genomic technologies to optimize breeding strategies for genetic progress in dairy cattle|
A Fleming, EA Abdalla, C Maltecca, CF Baes
Archives Animal Breeding 61 (1), 43-57, 2018
|Genetic analysis of groups of mid-infrared predicted fatty acids in milk|
SG Narayana, FS Schenkel, A Fleming, A Koeck, F Malchiodi, J Jamrozik, ...
Journal of dairy science 100 (6), 4731-4744, 2017
|Prediction of milk fatty acid content with mid-infrared spectroscopy in Canadian dairy cattle using differently distributed model development sets|
A Fleming, FS Schenkel, J Chen, F Malchiodi, V Bonfatti, RA Ali, B Mallard, ...
Journal of dairy science 100 (6), 5073-5081, 2017
|Standardization of milk infrared spectra for the retroactive application of calibration models|
V Bonfatti, A Fleming, A Koeck, F Miglior
Journal of dairy science 100 (3), 2032-2041, 2017
|Variation in fat globule size in bovine milk and its prediction using mid-infrared spectroscopy|
A Fleming, FS Schenkel, J Chen, F Malchiodi, RA Ali, B Mallard, ...
Journal of dairy science 100 (3), 1640-1649, 2017
|Genetic analyses of hoof lesions in Canadian Holsteins using an alternative contemporary group|
F Malchiodi, A Koeck, N Chapinal, M Sargolzaei, A Fleming, D Kelton, ...
Interbull Bulletin, 2015
|Genetic evaluation for resistance to metabolic diseases in Canadian dairy breeds|
J Jamrozik, G Kistemaker, B Van Doormaal, A Fleming, A Koeck, F Miglior
Interbull Bulletin, 2016
|Genetic correlations of mid-infrared-predicted milk fatty acid groups with milk production traits|
A Fleming, FS Schenkel, F Malchiodi, RA Ali, B Mallard, M Sargolzaei, ...
Journal of dairy science 101 (5), 4295-4306, 2018
|Genetic parameters of milk cholesterol content in Holstein cattle|
DN Do, A Fleming, FS Schenkel, F Miglior, X Zhao, EM Ibeagha-Awemu
Canadian journal of animal science 98 (4), 714-722, 2018
|Enhancing the data pipeline for novel traits in the genomic era: From farms to DHI to evaluation centres|
F Miglior, R Finocchiaro, F Malchiodi, A Fleming, L Brito, CF Baes, ...
ICAR Technical Series, 23-30, 2016
|Heritabilities of measured and mid-infrared predicted milk fat globule size, milk fat and protein percentages, and their genetic correlations|
A Fleming, FS Schenkel, A Koeck, F Malchiodi, RA Ali, M Corredig, ...
Journal of dairy science 100 (5), 3735-3741, 2017
|Phenotypic and genetic variation of milk fat components incorporating mid-infrared technology|
|Phenotyping milk fat composition using mid-infrared spectral data|
A Fleming, A Koeck, F Schenkel, M Corredig, J Chen, M Sargolzaei, ...
|An Update on Metabolic Disease Evaluation|
J Jamrozik, GJ Kistemaker, BJV Doormaal, A Fleming, A Koeck, F Miglior
Consulté le 21 (04), 2017, 2016
|Genetic Analysis of Milk Fat Globule and Casein Micelle Size in Canadian Holsteins|
A Fleming, A Koeck, F Miglior, M Corredig, J Chen, B Mallard, A Ali, ...
|A genetic characterization of the Hays Converter|
|Genome-wide association analysis for β-hydroxybutyrate concentration in Milk in Holstein dairy cattle|
S Nayeri, F Schenkel, A Fleming, V Kroezen, M Sargolzaei, C Baes, ...
BMC genetics 20 (1), 58, 2019
|Comparing the use of dry matter intake and residual feed intake to improve feed efficiency in Holstein cattle|
K Houlahan, F Schenkel, F Miglior, G Oliveira, A Fleming, T Chud, C Baes
Interbull Bulletin, 50-57, 2019
|Symposium review: The choice and collection of new relevant phenotypes for fertility selection|
A Fleming, CF Baes, AAA Martin, TCS Chud, F Malchiodi, LF Brito, ...
Journal of dairy science 102 (4), 3722-3734, 2019