2024
DOI: 10.3168/jdsc.2023-0513
|View full text |Cite
|
Sign up to set email alerts
|

Approximation of reliabilities for random-regression single-step genomic best linear unbiased predictor models

M. Bermann,
I. Aguilar,
A. Alvarez Munera
et al.

Abstract: Graphical Abstract Summary: We developed a method to approximate the reliability of estimated breeding values in random-regression single-step genomic best linear unbiased predictor models. The proposed approximation is accurate as well as computationally efficient.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 29 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?