scholarly journals Genetic Evaluation of Fertility Traits of Dairy Cattle Using a Multiple-Trait Animal Model

2008 ◽  
Vol 91 (11) ◽  
pp. 4333-4343 ◽  
Author(s):  
Z. Liu ◽  
J. Jaitner ◽  
F. Reinhardt ◽  
E. Pasman ◽  
S. Rensing ◽  
...  
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Genetic Evaluation ◽  
Multiple Trait ◽  
Fertility Traits

Combining direct and correlated traits into an aggregate index for dairy cattle fertility

2007 ◽  
Vol 2007 ◽  
pp. 64-64
Author(s):  
Stefano Biffani ◽  
Fabiola Canavesi ◽  
Maurizio Marusi
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Milk Yield ◽  
Genetic Evaluation ◽  
Conception Rate ◽  
Calving Interval ◽  
Multiple Trait ◽  
Breeding Values ◽  
Breeding Goal ◽  
Aggregate Index

In January 2006, ANAFI (Italian Holstein Breeders Association) introduced a genetic evaluation for fertility based on a multiple-trait animal model (Biffani et al., 2005), which included the following traits: days from calving to first insemination (DTFS), calving interval (CI), first-service non return rate to 56 d (NR56), angularity (ANG) and mature equivalent milk yield at 305 d (ME305). Breeding values have been subsequently combined in an aggregate index (T), with the breeding goal to increase conception rate (CR). This paper will show how the breeding values have been combined into an aggregate index. At the same time the efficiency of selecting on alternative aggregate indexes versus the official aggregate index is presented.

scholarly journals Animal Model Genetic Evaluation of Type Traits for Five Dairy Cattle Breeds

1999 ◽  
Vol 82 (6) ◽  
pp. 1350.e1-1350.e22 ◽  
Author(s):  
N. Gengler ◽  
G.R. Wiggans ◽  
J.R. Wright
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Genetic Evaluation ◽  
Cattle Breeds ◽  
Type Traits

scholarly journals Wechselwirkung zwischen Vater und Mutter in der Milchrinderzüchtung

1999 ◽  
Vol 42 (6) ◽  
pp. 527-534
Author(s):  
W. Brade ◽  
E. Groeneveld
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Genetic Evaluation ◽  
Cattle Breeding ◽  
Additional Information ◽  
Dairy Cattle Breeding ◽  
Interaction Component

Abstract. Title of the paper: Interaction between sire and dam in dairy cattle breeding The traditional animal model in genetic evaluation has been extended by a sire * dam interaction component demonstrating the computational feasibility. The expected additional information response from including a sire * dam component is small, however, this effect come larger with an increase in the number of animals produced by biotechnical means which will likely get special treatments.

Improvement in genetic evaluation of female fertility in dairy cattle using multiple-trait models including milk production traits1

2010 ◽  
Vol 88 (3) ◽  
pp. 871-878 ◽  
Author(s):  
C. Sun ◽  
P. Madsen ◽  
M. S. Lund ◽  
Y. Zhang ◽  
U. S. Nielsen ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Genetic Evaluation ◽  
Female Fertility ◽  
Multiple Trait

scholarly journals Genetic Evaluation of Dairy Cattle by Multiple Trait Methodology and Comparison of 5 National Holstein-Friesian Breed Strains for Economic Performance

1984 ◽  
Author(s):  
Joel Weller ◽  
Albert E. Freeman ◽  
Avraham Genizi ◽  
Philip Jeffery Berger ◽  
Eliezer Aizinbud ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Economic Performance ◽  
Genetic Evaluation ◽  
Multiple Trait ◽  
Holstein Friesian

A comparison of the efficiency of the repeatability model on observed or transformed yields to a multi-variate analysis

1995 ◽  
Vol 1995 ◽  
pp. 129-129
Author(s):  
R Mrode ◽  
G J T Swanson
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Simulation Study ◽  
Milk Fat ◽  
Selection Index ◽  
Best Linear Unbiased Prediction ◽  
Genetic Evaluation ◽  
Linear Unbiased Prediction ◽  
Variate Analysis ◽  
Best Linear Unbiased

A multi-variate animal model Best Linear Unbiased Prediction (BLUP) on milk, fat and protein yields in different lactations, as different traits, is the optimum method for genetic evaluation in dairy cattle for production. However, this is computationally demanding and usually a repeatability model is performed separately for milk, fat and protein yields. A simulation study by Visscher (1991) showed that the repeatability model on canonical transformed yield rather than on observed yield was a better approximation to a multi-variate analysis using selection index. The aim of this study is to verify, using an animal model, the efficiency of the repeatability model relative to a multi-variate analysis on observed or transformed yields.

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