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 ◽  
...  
animal ◽  
2014 ◽  
Vol 8 (6) ◽  
pp. 887-894 ◽  
Author(s):  
M.A. Nilforooshan ◽  
J.H. Jakobsen ◽  
W.F. Fikse ◽  
B. Berglund ◽  
H. Jorjani

2005 ◽  
Vol 88 (6) ◽  
pp. 2253-2259 ◽  
Author(s):  
M. del P. Schneider ◽  
E. Strandberg ◽  
V. Ducrocq ◽  
A. Roth

2008 ◽  
Vol 91 (11) ◽  
pp. 4333-4343 ◽  
Author(s):  
Z. Liu ◽  
J. Jaitner ◽  
F. Reinhardt ◽  
E. Pasman ◽  
S. Rensing ◽  
...  

1984 ◽  
Author(s):  
Joel Weller ◽  
Albert E. Freeman ◽  
Avraham Genizi ◽  
Philip Jeffery Berger ◽  
Eliezer Aizinbud ◽  
...  

2007 ◽  
Vol 2007 ◽  
pp. 64-64
Author(s):  
Stefano Biffani ◽  
Fabiola Canavesi ◽  
Maurizio Marusi

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.


2010 ◽  
Vol 93 (12) ◽  
pp. 5977-5986 ◽  
Author(s):  
M.A. Nilforooshan ◽  
J.H. Jakobsen ◽  
W.F. Fikse ◽  
B. Berglund ◽  
H. Jorjani

2003 ◽  
Vol 2003 ◽  
pp. 139-139
Author(s):  
H. Farhangfar ◽  
P. Rowlinson ◽  
M. B. Willis

In practical dairy cattle breeding programmes, usually a small number of animals (selected from a large population) have a major influence on the genetic gain of the concerned population over a period of time (Hofer, 1998). Candidate animals are usually selected based on their breeding values that are predicted by using animal models. In order to predict breeding values, genetic parameters (calculated from variance and covariance components) of the traits under consideration should be estimated to be used in genetic evaluation systems either based on lactation or test day models. The use of test day models has increasingly become of interest in genetic evaluation of dairy cattle due to the fact that they can take more accurate account of the effects of environmental factors influencing test day milk yield over the course of lactation. The main objective of this study was to use a repeatability test day animal model to estimate genetic parameters of monthly test day milk production traits in first parity Iranian Holsteins.


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