Using single-step genomic best linear unbiased predictor to enhance the mitigation of seasonal losses due to heat stress in pigs

2016 ◽  
Vol 94 (12) ◽  
pp. 5004-5013 ◽  
Author(s):  
B. O. Fragomeni ◽  
D. A. L. Lourenco ◽  
S. Tsuruta ◽  
H. L. Bradford ◽  
K. A. Gray ◽  
...  
Keyword(s):  
Heat Stress ◽  
Single Step ◽  
Best Linear Unbiased Predictor ◽  
Best Linear Unbiased

scholarly journals Genetic parameters for growth and reproduction in Simmental cattle from pedigree and genomic relationship

2020 ◽  
pp. 1520 ◽  
Author(s):  
Adonai Alejandro Amaya-Martínez ◽  
Rodrigo Martínez S. ◽  
Mario Fernando Cerón-Muñoz
Keyword(s):  
Genetic Parameters ◽  
Additive Genetic Variance ◽  
Single Step ◽  
Genomic Relationship ◽  
Genomic Information ◽  
Best Linear Unbiased Predictor ◽  
Phenotypic Data ◽  
Single Nucleotide ◽  
Best Linear Unbiased ◽  
Simmental Cattle

Objective. To estimate genetic parameters for weight at eight months of age (W8M), age at first calving (AFC) and first calving interval (FCI) using pedigree and genomic relationship. Materials and methods. Phenotypic data on 481, 3063 and 1098 animals for W8M, AFC and FCI were used, respectively. The genomic information came from a population of 718 genotyped animals with a density chip of 30,106 single nucleotide polymorphism markers (SNP). Univariate and bivariate models were used under the conventional (BLUP) and single step genomic best linear unbiased predictor (ssGBLUP) methodologies. Results. The heritabilities for W8M, AFC and FCI ranged from 0.25 to 0.26, from 0.20 to 0.22 and from 0.04 to 0.08, respectively. The AFC and FCI models under ssGBLUP slightly decreased the error and increased the additive genetic variance, respectively. Conclusions. The inclusion of genomic information slightly increases the accuracy of the genetic estimates in this population. However, a larger amount of genotyped animals and with a higher genetic relationship connectivity would allow breeders to increase the potential of the ssGBLUP methodology in Colombian Simmental cattle.

scholarly journals Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals

2016 ◽  
Vol 99 (3) ◽  
pp. 1968-1974 ◽  
Author(s):  
Y. Masuda ◽  
I. Misztal ◽  
S. Tsuruta ◽  
A. Legarra ◽  
I. Aguilar ◽  
...  
Keyword(s):  
Single Step ◽  
Best Linear Unbiased Predictor ◽  
Best Linear Unbiased

Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices1

2016 ◽  
Vol 94 (3) ◽  
pp. 909-919 ◽  
Author(s):  
D. A. L. Lourenco ◽  
S. Tsuruta ◽  
B. O. Fragomeni ◽  
C. Y. Chen ◽  
W. O. Herring ◽  
...  
Keyword(s):  
Single Step ◽  
Best Linear Unbiased Predictor ◽  
Best Linear Unbiased

scholarly journals Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes

2015 ◽  
Vol 98 (6) ◽  
pp. 4090-4094 ◽  
Author(s):  
B.O. Fragomeni ◽  
D.A.L. Lourenco ◽  
S. Tsuruta ◽  
Y. Masuda ◽  
I. Aguilar ◽  
...  
Keyword(s):  
Single Step ◽  
Best Linear Unbiased Predictor ◽  
Best Linear Unbiased

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
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