scholarly journals Genetic analysis of body weights of individually fed beef bulls in South Africa using random regression models

2012 ◽  
Vol 11 (1) ◽  
pp. 271-276 ◽  
Author(s):  
N.W. Selapa ◽  
K.A. Nephawe ◽  
A. Maiwashe ◽  
D. Norris
Keyword(s):  
South Africa ◽  
Genetic Analysis ◽  
Regression Models ◽  
Random Regression ◽  
Body Weights ◽  
Beef Bulls

Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness

2018 ◽  
Vol 135 (4) ◽  
pp. 275-285
Author(s):  
Kristina Schlicht ◽  
Nina Krattenmacher ◽  
Vincent Lugert ◽  
Carsten Schulz ◽  
Georg Thaller ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Regression Models ◽  
Scophthalmus Maximus ◽  
Random Regression ◽  
Production Traits ◽  
Turbot Scophthalmus Maximus

Genetic analysis of the main growth traits using random regression models in Japanese flounder (Paralichthys olivaceus )

2018 ◽  
Vol 49 (4) ◽  
pp. 1504-1511 ◽  
Author(s):  
Jingli Zhao ◽  
Yunfeng Zhao ◽  
Zongcheng Song ◽  
Haoming Liu ◽  
Yongxin Liu ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Regression Models ◽  
Growth Traits ◽  
Paralichthys Olivaceus ◽  
Japanese Flounder ◽  
Random Regression ◽  
Main Growth

scholarly journals Estimation of Genetic Parameters for Daily Gains of Bulls with Multi-Trait and Random Regression Models

2007 ◽  
Vol 50 (1) ◽  
pp. 37-46
Author(s):  
H. Krejčová ◽  
N. Mielenz ◽  
J. Přibyl ◽  
L. Schüler
Keyword(s):  
Animal Model ◽  
Animal Models ◽  
Genetic Analysis ◽  
Legendre Polynomials ◽  
Regression Models ◽  
Genetic Parameters ◽  
Random Regression ◽  
Dual Purpose ◽  
Trait Model ◽  
Estimation Of Genetic Parameters

Abstract. The average daily gains of 6,420 Czech Pied bulls (dual-purpose, Simmental type) from 7 breeding stations were analyzed using single-trait animal models, a multi-trait animal model and random regression models. The effects of station, year and season were taken into account by creating herd-year-season classes (HYS) with the season being defined as a 3-month class starting with December. Legendre polynomials of the 1st to the 4th degree were used to describe the daily gains within the HYS classes as well as to model bull-specific gain curves. The comparison of the h2-values estimated with single-trait models and those gained with a multi-trait model returned only insignificant differences. The comparison of genetic parameters based on the multi-trait model to those from different random regression models shows that polynomials of at least the 2nd degree are to be used for the genetic analysis of daily gains.

Analysis of Feed Intake of Individually Fed Beef Bulls Using Random Regression Models

2009 ◽  
Vol 36 (2) ◽  
pp. 223-226 ◽  
Author(s):  
N. W. Selapa ◽  
K. A. Nephawe ◽  
A. Maiwashe ◽  
D. Norrie ◽  
J. W. Ngambi
Keyword(s):  
Feed Intake ◽  
Regression Models ◽  
Random Regression ◽  
Beef Bulls

scholarly journals Genetic analysis of partial egg production records in Japanese quail using random regression models

2017 ◽  
Vol 96 (8) ◽  
pp. 2569-2575 ◽  
Author(s):  
G. Abou Khadiga ◽  
B.Y.F. Mahmoud ◽  
G.S. Farahat ◽  
A.M. Emam ◽  
E.A. El-Full
Keyword(s):  
Genetic Analysis ◽  
Japanese Quail ◽  
Regression Models ◽  
Egg Production ◽  
Random Regression
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