2023
DOI: 10.1071/an22452
|View full text |Cite
|
Sign up to set email alerts
|

On the value of adding commercial data into the reference population of the Angus SteerSELECT genomic tool

Abstract: Context Angus SteerSELECT is a genomic tool designed to provide genomic estimated breeding values (GEBV) for nine traits related to growth, feedlot performance, carcase characteristics and immune competence. At present, GEBV for carcase characteristics are based on a reference population of 3766 Australian Angus steers. Aims We aimed to investigate the potential benefit of incorporating commercial data into the existing reference population of the Angus SteerSELECT. To this aim, we employ a population … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 37 publications
0
0
0
Order By: Relevance
“…Unlike the recent work of Reverter et al (2023) with 3766 purebred Angus steers plus 2124 Angus-based commercial steers, in the present study we did not observe a tendency for over-dispersion (or inflation) of GEBV for CWT or MARB. Similarly, the recent work by Koo et al (2023) exploring the quality of the genomic evaluation of Korean Hanwoo cattle based on a large number of genotyped cows, steers and young animals applied the LR method to confirm a slight negative bias (GEBV overestimation) for all traits and animal groups, but a slight positive bias (GEBV underestimation) for CEMA and MARB in steers.…”
Section: Genomic Predictions and Cross-validation Resultscontrasting
confidence: 99%
See 2 more Smart Citations
“…Unlike the recent work of Reverter et al (2023) with 3766 purebred Angus steers plus 2124 Angus-based commercial steers, in the present study we did not observe a tendency for over-dispersion (or inflation) of GEBV for CWT or MARB. Similarly, the recent work by Koo et al (2023) exploring the quality of the genomic evaluation of Korean Hanwoo cattle based on a large number of genotyped cows, steers and young animals applied the LR method to confirm a slight negative bias (GEBV overestimation) for all traits and animal groups, but a slight positive bias (GEBV underestimation) for CEMA and MARB in steers.…”
Section: Genomic Predictions and Cross-validation Resultscontrasting
confidence: 99%
“…The former has been validated using historical data from 153 978 registered Angus animals; the latter has been validated using a population of 522 short-fed (100 days) or long-fed (270 days) Angus steers finished in commercial feedlots. Also, for SteerSELECT the potential benefit of incorporating commercial data in the reference population has been evaluated (Reverter et al 2023).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation