Evaluation of animal models for genetic analysis of growth performance in Landlly pigs

2020 ◽  
Vol 44 (4) ◽  
pp. 910-918
Author(s):  
Snehasmita PANDA ◽  
Gyanendra Kumar GAUR ◽  
Nihar Ranjan SAHOO ◽  
Sheikh Firdous AHMAD ◽  
Pruthviraj DEVAMMA RAMACHANDRAPPA ◽  
...  
Keyword(s):  
Animal Models ◽  
Genetic Analysis ◽  
Growth Performance

Elucidation of Pathways Leading to Rheumatoid Arthritis by Genetic Analysis of Animal Models

2000 ◽  
pp. 17-35 ◽  
Author(s):  
R. Holmdahl ◽  
R. Bockermann ◽  
J. Jirholt ◽  
A. Johansson ◽  
P. Olofsson ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Animal Models ◽  
Genetic Analysis

Genetic analysis of hypertension in animal models and human hypertensive patients

1994 ◽  
Vol 12 (Supplement 7) ◽  
pp. S57 ◽  
Author(s):  
Victoria L.M. Herrera ◽  
Nelson Ruiz-Opazo
Keyword(s):  
Animal Models ◽  
Genetic Analysis ◽  
Hypertensive Patients

scholarly journals Genetic analysis of survival and fitness in turkeys with multiple-trait animal models

2011 ◽  
Vol 90 (11) ◽  
pp. 2479-2486 ◽  
Author(s):  
C.D. Quinton ◽  
B.J. Wood ◽  
S.P. Miller
Keyword(s):  
Animal Models ◽  
Genetic Analysis ◽  
Multiple Trait

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.

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