0303 Issues in commercial application of single-step genomic BLUP for genetic evaluation in American Angus

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 144-145
Author(s):  
D. A. L. Lourenco ◽  
S. Tsuruta ◽  
B. D. Fragomeni ◽  
Y. Masuda ◽  
I. Pocrnic ◽  
...  
Keyword(s):  
Genetic Evaluation ◽  
Single Step ◽  
Commercial Application

Improving genetic evaluation of litter size and piglet mortality for both genotyped and nongenotyped individuals using a single-step method1

2015 ◽  
Vol 93 (2) ◽  
pp. 503-512 ◽  
Author(s):  
X. Guo ◽  
O. F. Christensen ◽  
T. Ostersen ◽  
Y. Wang ◽  
M. S. Lund ◽  
...  
Keyword(s):  
Litter Size ◽  
Genetic Evaluation ◽  
Single Step ◽  
Piglet Mortality

scholarly journals Improving genetic evaluation using a multitrait single-step genomic model for ability to resume cycling after calving, measured by activity tags in Holstein cows

2017 ◽  
Vol 100 (10) ◽  
pp. 8188-8196 ◽  
Author(s):  
Ahmed Ismael ◽  
Peter Løvendahl ◽  
Anders Fogh ◽  
Mogens Sandø Lund ◽  
Guosheng Su
Keyword(s):  
Genetic Evaluation ◽  
Single Step ◽  
Holstein Cows ◽  
Genomic Model

scholarly journals Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus1

2015 ◽  
Vol 93 (6) ◽  
pp. 2653-2662 ◽  
Author(s):  
D. A. L. Lourenco ◽  
S. Tsuruta ◽  
B. O. Fragomeni ◽  
Y. Masuda ◽  
I. Aguilar ◽  
...  
Keyword(s):  
Genetic Evaluation ◽  
Single Step ◽  
Best Linear Unbiased Predictor ◽  
Best Linear Unbiased

scholarly journals More animals than markers: a study into the application of the single step T-BLUP model in large-scale multi-trait Australian Angus beef cattle genetic evaluation

2019 ◽  
Vol 51 (1) ◽  
Author(s):  
Vinzent Boerner ◽  
David J. Johnston
Keyword(s):  
Beef Cattle ◽  
Large Scale ◽  
Evaluation Model ◽  
Full Rank ◽  
Genetic Evaluation ◽  
Single Step ◽  
Genomic Relationship Matrix ◽  
Relationship Matrix ◽  
Step Model ◽  
Matrix Identity

Abstract Multi-trait single step genetic evaluation is increasingly facing the situation of having more individuals with genotypes than markers within each genotype. This creates a situation where the genomic relationship matrix ($$\mathbf{G }$$ G ) is not of full rank and its inversion is algebraically impossible. Recently, the SS-T-BLUP method was proposed as a modified version of the single step equations, providing an elegant way to circumvent the inversion of the $$\mathbf{G }$$ G and therefore accommodate the situation described. SS-T-BLUP uses the Woodbury matrix identity, thus it requires an add-on matrix, which is usually the covariance matrix of the residual polygenic effet. In this paper, we examine the application of SS-T-BLUP to a large-scale multi-trait Australian Angus beef cattle dataset using the full BREEDPLAN single step genetic evaluation model and compare the results to the application of two different methods of using $$\mathbf{G }$$ G in a single step model. Results clearly show that SS-T-BLUP outperforms other single step formulations in terms of computational speed and avoids approximation of the inverse of $$\mathbf{G }$$ G .

scholarly journals Effect of Hidden Relatedness on Single-Step Genetic Evaluation in an Advanced Open-Pollinated Breeding Program

2018 ◽  
Author(s):  
Jaroslav Klápště ◽  
Mari Suontama ◽  
Heidi S Dungey ◽  
Emily J Telfer ◽  
Natalie J Graham ◽  
...  
Keyword(s):  
Genetic Evaluation ◽  
Single Step ◽  
Breeding Program

V884: Demonstration of a Novel Single-Step Percutaneous Access Sheath for Nephrostolithotomy: A Video Presentation

2005 ◽  
Vol 173 (4S) ◽  
pp. 240-240
Author(s):  
Premal J. Desai ◽  
David A. Hadley ◽  
Lincoln J. Maynes ◽  
D. Duane Baldwin
Keyword(s):  
Single Step ◽  
Video Presentation ◽  
Percutaneous Access ◽  
Access Sheath
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