Impact of Censored or Penalized Data in the Genetic Evaluation of Two Longevity Indicator Traits Using Random Regression Models in North American Angus Cattle

Impact of Censored or Penalized Data in the Genetic Evaluation of Two Longevity Indicator Traits Using Random Regression Models in North American Angus Cattle

This study aimed to evaluate the impact of different proportions (i.e., 20%, 40%, 60% and 80%) of censored (CEN) or penalized (PEN) data in the prediction of breeding values (EBVs), genetic parameters, and computational efficiency for two longevity indicators (i.e., traditional and functional longev...

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Bibliographic Details
Main Authors: Hinayah R. Oliveira, Stephen P. Miller, Luiz F. Brito, Flavio S. Schenkel
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Animals
Subjects:
beef cattle
missing record
penalty method
productive life
stayability
survival
Online Access:https://www.mdpi.com/2076-2615/11/3/800

Internet

https://www.mdpi.com/2076-2615/11/3/800

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