9:30 AM
#461 Exact P-values for large-scale single-step genome-wide association using the BLUPF90 software suite.
D. Lourenco
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9:45 AM
#462 Genomic predictions using more markers and gene tests.
J. B. Cole
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10:00 AM
#463 Validation of genomic predictions for linear type traits in US Holsteins using over 2 million genotyped animals.
S. Tsuruta
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10:15 AM
#464 Comparing deep learning methods versus parametric and ensemble methods for the prediction of complex phenotypes.
R. Abdollahi-Arpanahi
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10:30 AM
#465 Changes in predictions when using different core animals in the APY algorithm.
I. Misztal
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10:45 AM
#466 Cattle variant-detection modelling using selective-sequencing experimental design and statistical learning.
K. Bakshy
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11:00 AM
#467 Genomic prediction with unknown-parent groups and metafounders for production traits in US Holsteins.
Y. Masuda
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11:15 AM
#468 Alternative input parameters for Wood’s curve within best prediction used by USDA-AGIL for genetic evaluation of production traits in the United States.
E. S. Houdek
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11:30 AM
#469 A genome-wide analysis using runs of homozygosity in Italian Holstein cattle.
N. Macciotta
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11:45 AM
#470 Association between lipid-related genes implicated in conceptus elongation and female fertility traits in dairy cattle.
R. Abdollahi-Arpanahi
|
12:00 PM
#471 Genomic prediction and marker selection using high-density genotypes from 5 dairy breeds.
B. Li
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