Modeling lactation curves and estimation of genetic parameters in Holstein cows using multiple-trait random regression models

2014 ◽  
Vol 85 (11) ◽  
pp. 925-934 ◽  
Author(s):  
Khabat Kheirabadi ◽  
Amir Rashidi ◽  
Sadegh Alijani ◽  
Ikhide Imumorin
Keyword(s):  
Regression Models ◽  
Genetic Parameters ◽  
Random Regression ◽  
Holstein Cows ◽  
Multiple Trait ◽  
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 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 parameters for test day milk yields of first lactation Holstein cows by random regression models

animal ◽  
2007 ◽  
Vol 1 (3) ◽  
pp. 325-334 ◽  
Author(s):  
C.M.R. de Melo ◽  
I.U. Packer ◽  
C.N. Costa ◽  
P.F. Machado
Keyword(s):  
Regression Models ◽  
Genetic Parameters ◽  
Random Regression ◽  
Holstein Cows

Random regression models to estimate test-day milk yield genetic parameters Holstein cows in Southeastern Brazil

2009 ◽  
Vol 123 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Annaiza Braga Bignardi ◽  
Lenira El Faro ◽  
Vera Lucia Cardoso ◽  
Paulo Fernando Machado ◽  
Lucia Galvão de Albuquerque
Keyword(s):  
Milk Yield ◽  
Regression Models ◽  
Genetic Parameters ◽  
Random Regression ◽  
Holstein Cows ◽  
Southeastern Brazil

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 Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model

2005 ◽  
Vol 28 (1) ◽  
pp. 75-83 ◽  
Author(s):  
Jaime Araujo Cobuci ◽  
Ricardo Frederico Euclydes ◽  
Paulo Sávio Lopes ◽  
Claudio Napolis Costa ◽  
Robledo de Almeida Torres ◽  
...  
Keyword(s):  
Regression Model ◽  
Milk Yield ◽  
Genetic Parameters ◽  
Random Regression ◽  
Holstein Cows ◽  
Random Regression Model ◽  
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.

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