Correcting within-family pre-selection in genetic evaluation of growth—A simulation study on rainbow trout

Aquaculture ◽  
2014 ◽  
Vol 434 ◽  
pp. 220-226 ◽  
Author(s):  
Matti Janhunen ◽  
Antti Kause ◽  
Harri Vehviläinen ◽  
Antti Nousiainen ◽  
Heikki Koskinen
Keyword(s):  
Rainbow Trout ◽  
Simulation Study ◽  
Genetic Evaluation

scholarly journals Use of Repeated Group Measurements with Drop Out Animals for Variance Component Estimation and Genetic Evaluation: A Simulation Study

2019 ◽  
Vol 9 (9) ◽  
pp. 2935-2940
Author(s):  
Hongding Gao ◽  
Bjarne Nielsen ◽  
Guosheng Su ◽  
Per Madsen ◽  
Just Jensen ◽  
...  
Keyword(s):  
Simulation Study ◽  
Variance Component ◽  
Genetic Evaluation ◽  
Drop Out ◽  
Variance Component Estimation ◽  
Component Estimation

Biochemical genetic evaluation of nine rainbow trout populations in South Africa

Aquaculture ◽  
1992 ◽  
Vol 100 (1-3) ◽  
pp. 104
Author(s):  
Federick H. van der Bank ◽  
Martha K.J. Swart ◽  
Johannes T. Ferreira
Keyword(s):  
South Africa ◽  
Rainbow Trout ◽  
Genetic Evaluation ◽  
Biochemical Genetic

A comparison of the efficiency of the repeatability model on observed or transformed yields to a multi-variate analysis

1995 ◽  
Vol 1995 ◽  
pp. 129-129
Author(s):  
R Mrode ◽  
G J T Swanson
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Simulation Study ◽  
Milk Fat ◽  
Selection Index ◽  
Best Linear Unbiased Prediction ◽  
Genetic Evaluation ◽  
Linear Unbiased Prediction ◽  
Variate Analysis ◽  
Best Linear Unbiased

A multi-variate animal model Best Linear Unbiased Prediction (BLUP) on milk, fat and protein yields in different lactations, as different traits, is the optimum method for genetic evaluation in dairy cattle for production. However, this is computationally demanding and usually a repeatability model is performed separately for milk, fat and protein yields. A simulation study by Visscher (1991) showed that the repeatability model on canonical transformed yield rather than on observed yield was a better approximation to a multi-variate analysis using selection index. The aim of this study is to verify, using an animal model, the efficiency of the repeatability model relative to a multi-variate analysis on observed or transformed yields.

scholarly journals Generalized linear mixed models for the genetic evaluation of binary reproductive traits: a simulation study

2012 ◽  
Vol 41 (1) ◽  
pp. 52-57 ◽  
Author(s):  
Diogo Anastácio Garcia ◽  
Idalmo Garcia Pereira ◽  
Fabyano Fonseca e Silva ◽  
Guilherme Jordão de Magalhães Rosa ◽  
Aldrin Vieira Pires ◽  
...  
Keyword(s):  
Simulation Study ◽  
Mixed Models ◽  
Generalized Linear Mixed Models ◽  
Linear Mixed Models ◽  
Reproductive Traits ◽  
Genetic Evaluation

Accounting for early rearing density effects on growth in the genetic evaluation of rainbow trout, Oncorhynchus mykiss1

2013 ◽  
Vol 91 (11) ◽  
pp. 5144-5152 ◽  
Author(s):  
M. Janhunen ◽  
A. Kause ◽  
H. Vehviläinen ◽  
A. Nousiainen ◽  
H. Koskinen
Keyword(s):  
Rainbow Trout ◽  
Genetic Evaluation ◽  
Density Effects ◽  
Rearing Density ◽  
Early Rearing
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