|Assessing feed efficiency in beef steers through feeding behavior, infrared thermography and glucocorticoids|
YR Montanholi, KC Swanson, R Palme, FS Schenkel, BW McBride, D Lu, ...
animal 4 (5), 692-701, 2010
|Linkage disequilibrium in Angus, Charolais, and Crossbred beef cattle|
D Lu, M Sargolzaei, M Kelly, C Li, G Vander Voort, Z Wang, G Plastow, ...
Frontiers in Genetics 3, 152, 2012
|Genome-wide association analyses for growth and feed efficiency traits in beef cattle|
D Lu, S Miller, M Sargolzaei, M Kelly, G Vander Voort, T Caldwell, Z Wang, ...
Journal of animal science 91 (8), 3612-3633, 2013
|Impact of reference population on accuracy of imputation from 6K to 50K single nucleotide polymorphism chips in purebred and crossbreed beef cattle|
RV Ventura, D Lu, FS Schenkel, Z Wang, C Li, SP Miller
Journal of animal science 92 (4), 1433-1444, 2014
|Genome-wide association analyses for carcass quality in crossbred beef cattle|
D Lu, M Sargolzaei, M Kelly, G Vander Voort, Z Wang, I Mandell, S Moore, ...
BMC genetics 14 (1), 80, 2013
|Host contributes to longitudinal diversity of fecal microbiota in swine selected for lean growth|
D Lu, F Tiezzi, C Schillebeeckx, NP McNulty, C Schwab, C Shull, ...
Microbiome 6 (1), 4, 2018
|Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes|
D Lu, EC Akanno, JJ Crowley, F Schenkel, H Li, M De Pauw, SS Moore, ...
Journal of animal science 94 (4), 1342-1353, 2016
|The relationship between different measures of feed efficiency and feeding behavior traits in Duroc pigs|
D Lu, S Jiao, F Tiezzi, M Knauer, Y Huang, KA Gray, C Maltecca
Journal of Animal Science 95 (8), 3370-3380, 2017
|Predicting growth and carcass traits in swine using microbiome data and machine learning algorithms|
C Maltecca, D Lu, C Schillebeeckx, NP McNulty, C Schwab, C Shull, ...
Scientific reports 9 (1), 1-15, 2019
|Metagenomic predictions of growth and carcass traits in pigs with the use of bayesian alphabet and machine learning methods|
C Maltecca, D Lu, F Tiezzi, C Schillebeeckx, N McNulty, C Schwab, ...
Proceedings, 10th World Congress of Genetics Applied to Livestock Production …, 2018
|Beef tenderness QTL on BTA25 from a whole genome scan with the BovineSNP50 Beadchip|
S Miller, D Lu, G Vander Voort, M Sargolzaei, T Caldwell, Z Wang, J Mah, ...
Proceedings of the 9th world congress on genetics applied to livestock …, 2010
|Genomic Prediction of Beef Tenderness in Canadian Beef Cattle|
S Miller, D Lu, G Vander Voort, I Mandell
Proceedings, 10th World Congress of Genetics Applied to Livestock Production, 2014
|Association analysis for feed efficiency traits in beef cattle using preserved haplotypes|
D Lu, M Sargolzaei, C Li, M Abo-Ismail, G Vander Voort, Z Wang, ...
Genome 56 (10), 586-591, 2013
|Fine mapping QTL and candidate genes discovery for residual feed intake on Chromosomes 5, 15, 16, and 19 in beef cattle|
MK Abo-Ismail, EJ Squires, KC Swanson, D Lu, Z Wang, J Mah, ...
Proceedings of the 9th World Congress on Genetics Applied to Livestock …, 2010
|Meta-analysis of high-density SNP associations for beef cattle production traits from three countries|
GL Bennett, ME Goddard, D Lu, S Miller, S Moore, W Snelling, ...
CANADIAN LIVESTOCK GENTEC ANNUAL RESEARCH SYMPOSIUM, 2010
|Microbiome Contribute Significantly to Variation in Fat and Growth Traits in Crossbred Pigs?|
D Lu, F Tiezzi, C Schillebeeckx, NP McNulty, C Schwab, C Maltecca
Proceedings of the World Congress on Genetics Applied to Livestock …, 2018
|Predicting Growth and Carcass Traits in Swine Using Metagenomic Data and Machine Learning Algorithms|
C Maltecca, D Lu, C Schillebeeckx, NP McNulty, C Schwab, C Schull, ...
bioRxiv, 363309, 2018
|Applications of the Illumina BovineSNP50 BeadChip in Genetic Improvement of Beef Cattle|
|Genome wide scan for signals of recent selection in Angus beef cattle|
D Lu, S Miller, M Sargolzaei, GV Voort, T Caldwell, MK Abo-Ismail, ...
The 9th World Congress on Genetics Applied to Livestock Production, 2010
|Comparison of methods for preparing feed intake records for analysis of average daily intake from an automated feed intake monitoring system|
MJ Kelly, DT Lu, SP Miller
Canadian Journal of Animal Science 89 (1), 179-179, 2009