Studies on multiple trait and random regression models for genetic evaluation of beef cattle for growth

2005 ◽  
Vol 83 (1) ◽  
pp. 62-67 ◽  
Author(s):  
J. Bohmanova ◽  
I. Misztal ◽  
J. K. Bertrand
Keyword(s):  
Beef Cattle ◽  
Regression Models ◽  
Genetic Evaluation ◽  
Random Regression ◽  
Multiple Trait

scholarly journals Genetic evaluation using multi-trait and random regression models in Simmental beef cattle

2013 ◽  
Vol 12 (3) ◽  
pp. 2465-2480 ◽  
Author(s):  
R.R. Mota ◽  
L.F.A. Marques ◽  
P.S. Lopes ◽  
L.P. da Silva ◽  
F.R.A. Neto ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Regression Models ◽  
Genetic Evaluation ◽  
Random Regression

Genetic evaluation of growth in Nellore cattle by multiple-trait and random regression models

2003 ◽  
Vol 81 (4) ◽  
pp. 927-932 ◽  
Author(s):  
P. R. C. Nobre ◽  
I. Misztal ◽  
S. Tsuruta ◽  
J. K. Bertrand ◽  
L. O. C. Silva ◽  
...  
Keyword(s):  
Regression Models ◽  
Genetic Evaluation ◽  
Random Regression ◽  
Multiple Trait ◽  
Nellore Cattle

scholarly journals Influence of animals obtained using embryo transfer on the genetic evaluation of growth in Simmental beef cattle with random regression models

2013 ◽  
Vol 12 (4) ◽  
pp. 5889-5904
Author(s):  
R.R. Mota ◽  
P.S. Lopes ◽  
L.F.A. Marques ◽  
L.P. Silva ◽  
M. Conceição Pessoa ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Embryo Transfer ◽  
Regression Models ◽  
Genetic Evaluation ◽  
Random Regression

scholarly journals Multiple trait and random regression models using linear splines for genetic evaluation of multiple breed populations

2019 ◽  
Vol 102 (1) ◽  
pp. 464-475 ◽  
Author(s):  
V.M.P. Ribeiro ◽  
F.S.S. Raidan ◽  
A.R. Barbosa ◽  
M.V.G.B. Silva ◽  
F.F. Cardoso ◽  
...  
Keyword(s):  
Regression Models ◽  
Genetic Evaluation ◽  
Random Regression ◽  
Multiple Trait ◽  
Linear Splines

scholarly journals Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models

2018 ◽  
Vol 63 (No. 6) ◽  
pp. 212-221 ◽  
Author(s):  
B.B. Teixeira ◽  
R.R. Mota ◽  
R.B. Lôbo ◽  
L.P. Silva ◽  
A.P. Souza Carneiro ◽  
...  
Keyword(s):  
Random Effects ◽  
Variance Components ◽  
Regression Models ◽  
Growth Traits ◽  
Growth Curves ◽  
Genetic Evaluation ◽  
Information Criteria ◽  
Random Regression ◽  
Nellore Cattle ◽  
Heritability Estimates

We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to describe growth curves in Nellore cattle. The proposed RRM were also compared to multi-trait models (MTM). Variance components and genetic parameters estimates were performed via REML for all models. Twelve RRM were compared through Akaike (AIC) and Bayesian (BIC) information criteria. The model of order three for the fixed curve and four for all random effects (direct genetic, maternal genetic, permanent environment, and maternal permanent environment) fits best. Estimates of direct genetic, maternal genetic, maternal permanent environment, permanent environment, phenotypic and residual variances were similar between MTM and RRM. Heritability estimates were higher via RRM. We presented perspectives for the use of RRM for genetic evaluation of growth traits in Brazilian Nellore cattle. In general, moderate heritability estimates were obtained for the majority of studied traits when using RRM. Additionally, the precision of these estimates was higher when using RRM instead of MTM. However, concerns about the variance components estimates in advanced ages via Legendre polynomial must be taken into account in future studies.

Genetic evaluation of weekly body weight in Japanese quail using random regression models

2016 ◽  
Vol 58 (1) ◽  
pp. 13-18 ◽  
Author(s):  
K. Karami ◽  
S. Zerehdaran ◽  
M. Tahmoorespur ◽  
B. Barzanooni ◽  
E. Lotfi
Keyword(s):  
Body Weight ◽  
Japanese Quail ◽  
Regression Models ◽  
Genetic Evaluation ◽  
Random Regression

scholarly journals PSI-1 Evaluating genetic parameters and trends of weight traits for the Hays Converter beef breed by multiple-trait and random regression models.

2018 ◽  
Vol 96 (suppl_3) ◽  
pp. 60-61
Author(s):  
R Khorshidi ◽  
M MacNeil ◽  
D Hays ◽  
M Abo-Ismail ◽  
J Crowley ◽  
...  
Keyword(s):  
Regression Models ◽  
Genetic Parameters ◽  
Random Regression ◽  
Multiple Trait ◽  
Beef Breed

scholarly journals Genetic evaluation and selection response for growth in meat-type quail through random regression models using B-spline functions and Legendre polynomials

animal ◽  
2018 ◽  
Vol 12 (4) ◽  
pp. 667-674 ◽  
Author(s):  
L.F.M. Mota ◽  
P.G.M.A. Martins ◽  
T.O. Littiere ◽  
L.R.A. Abreu ◽  
M.A. Silva ◽  
...  
Keyword(s):  
Legendre Polynomials ◽  
Regression Models ◽  
Selection Response ◽  
Genetic Evaluation ◽  
Random Regression ◽  
Spline Functions ◽  
B Spline ◽  
Meat Type
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