scholarly journals Estimation of genetic parameters for partial egg production periods by means of random regression models

2012 ◽  
Vol 11 (3) ◽  
pp. 1819-1829 ◽  
Author(s):  
G.C. Venturini ◽  
D.A. Grossi ◽  
S.B. Ramos ◽  
V.A.R. Cruz ◽  
C.G. Souza ◽  
...  
Keyword(s):  
Regression Models ◽  
Egg Production ◽  
Genetic Parameters ◽  
Random Regression ◽  
Estimation Of Genetic Parameters

scholarly journals Multiple-trait random regression models for the estimation of genetic parameters for milk, fat, and protein yield in buffaloes

2013 ◽  
Vol 96 (9) ◽  
pp. 5923-5932 ◽  
Author(s):  
Rusbel Raul Aspilcueta Borquis ◽  
Francisco Ribeiro de Araujo Neto ◽  
Fernando Baldi ◽  
Naudin Hurtado-Lugo ◽  
Gregório M.F. de Camargo ◽  
...  
Keyword(s):  
Milk Fat ◽  
Regression Models ◽  
Genetic Parameters ◽  
Protein Yield ◽  
Random Regression ◽  
Multiple Trait ◽  
Estimation Of Genetic Parameters

scholarly journals Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle

2021 ◽  
Vol 42 (3) ◽  
pp. 1303-1322
Author(s):  
Daniel Cardona-Cifuentes ◽  
◽  
Albeiro López-Herrera ◽  
Luis Gabriel González-Herrera ◽  
Mario Fernando Cerón-Muñoz ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Somatic Cell ◽  
Milk Production ◽  
Regression Models ◽  
Genetic Parameters ◽  
Evaluation Model ◽  
Random Regression ◽  
Holstein Cattle ◽  
Protein Percentage ◽  
Estimation Of Genetic Parameters

The use of molecular markers to identify desirable genes in animal production is known as marker-assisted selection. The traditional genetic evaluation model uses the BLUP methodology; when genetic markers are included in the evaluation model, the methodology is known as M-BLUP. In contrast, random regression models (RRM), unlike the models based on production at 305 days, consider factors that change for each animal from one test to another. The objective of this study was to compare variance components, genetic parameters and breeding values for milk production, protein percentage and somatic cell score in Colombian Holstein cattle using BLUP, M-BLUP and RRM. For the estimation of genetic parameters and values, 2003 lactations corresponding to 1417 cows in 55 herds were used, and effects of the order of delivery, herd, and contemporary group were included. The three traits presented greater heritability under the MBLUP model: 0.44 for protein percentage, 0.27 for milk production and 0.28 for somatic cell score. This was because the genetic variance was greater when M-BLUP was used, which allowed a greater accuracy of the breeding value estimation in the three traits. Therefore, the model that includes information on molecular markers is more suitable for genetic evaluation in Colombian Holstein cattle.

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.

Estimation of genetic parameters related to eggshell strength using random regression models

2015 ◽  
Vol 56 (6) ◽  
pp. 645-650 ◽  
Author(s):  
J. Guo ◽  
M. Ma ◽  
L. Qu ◽  
M. Shen ◽  
T. Dou ◽  
...  
Keyword(s):  
Regression Models ◽  
Genetic Parameters ◽  
Random Regression ◽  
Estimation Of Genetic Parameters

Estimation of genetic parameters for body weights of Nile tilapia Oreochromis niloticus using random regression models

Aquaculture ◽  
2012 ◽  
Vol 354-355 ◽  
pp. 31-37 ◽  
Author(s):  
Eduardo Maldonado Turra ◽  
Denise Aparecida Andrade de Oliveira ◽  
Bruno Dourado Valente ◽  
Edgar de Alencar Teixeira ◽  
Samuel de Assis Prado ◽  
...  
Keyword(s):  
Oreochromis Niloticus ◽  
Nile Tilapia ◽  
Regression Models ◽  
Genetic Parameters ◽  
Random Regression ◽  
Nile Tilapia Oreochromis Niloticus ◽  
Body Weights ◽  
Estimation Of Genetic Parameters
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