scholarly journals Combining genetic test information and correlated phenotypic records for breeding value estimation

2007 ◽  
Vol 85 (3) ◽  
pp. 641-649 ◽  
Author(s):  
M. L. Spangler ◽  
J. K. Bertrand ◽  
R. Rekaya
Author(s):  
T. Pook ◽  
L. Büttgen ◽  
A. Ganesan ◽  
N.T. Ha ◽  
H. Simianer

ABSTRACTSelective breeding is a continued element of both crop and livestock breeding since early prehistory. In this work, we are proposing a new web-based simulation framework (“MoBPSweb”) that is combining a unified language to describe breeding programs with the simulation software MoBPS, standing for ‘Modular Breeding Program Simulator’. Thereby, MoBPSweb is providing a flexible environment to enter, simulate, evaluate and compare breeding programs. Inputs can be provided via modules ranging from a Vis.js-based flash environment for “drawing” the breeding program to a variety of modules to provide phenotype information, economic parameters and other relevant information. Similarly, results of the simulation study can be extracted and compared to other scenarios via output modules (e.g. observed phenotypes, accuracy of breeding value estimation, inbreeding rates). Usability of the framework is showcased along a toy example of a dairy cattle breeding program on farm level, with comparing scenarios differing in implemented breeding value estimation, selection index and selection intensity being considered. Comparisons are made considering both short and long-term effects of the different scenarios in terms of genomic gains, rates of inbreeding and the accuracy of the breeding value estimation. Lastly, general applicability of the MoBPSweb framework and the general potential for simulation studies for genetics and in particular in breeding are discussed.


2006 ◽  
Vol 82 (4) ◽  
pp. 455-462 ◽  
Author(s):  
J. Wolf ◽  
D. Peškovičová ◽  
E. Žáková ◽  
E. Groeneveld

AbstractThe data sets consisted of field performance data from 54 848 purebred and 16 175 crossbred animals (Czech data set, CZ) and 16 610 purebred and 9 228 crossbred animals (Slovak data set, SK). Animals from the following breeds were included: Duroc, Hampshire, Piétrain, sire line of Large White (CZ) or Yorkshire (SK), Czech Meat pig (CZ) or Slovak Meat pig (SK), Belgian Landrace (SK). Two-trait animal models were calculated for average daily gain from birth to the end of the field test (ADG) and lean meat content (LM, only in CZ) or backfat thickness (BF, only in SK). The models included additive breed and breed heterotic effects. Piétrain was the breed with the highest LM and the lowest BF. The additive genetic breed effect was about 1·5% LM (CZ) in comparison with Large White or −0·4 mm BF (SK) in comparison to Yorkshire. The sire line of Large White (CZ) or the Yorkshire breed (SK) clearly exceeded all the remaining sire breeds in ADG (on average by 30 to 50 g/day). There was a clear tendency to negative heterosis in LM in all crossbred combinations (CZ). In BF, heterotic effects between −0·2 mm and +0·3 mm were estimated, mostly not being significant (SK). The estimates of the heterotic effects for ADG were positive throughout. Higher values up to 40 g/day (7%) were observed in the Czech data set. Though heterotic breed effects are of some importance especially for ADG, their inclusion in the equations for breeding value estimation will have only a minor impact on the predicted breeding values.


2007 ◽  
Vol 86 (5) ◽  
pp. 823-828 ◽  
Author(s):  
J. Bennewitz ◽  
O. Morgades ◽  
R. Preisinger ◽  
G. Thaller ◽  
E. Kalm

2014 ◽  
Vol 34 (4) ◽  
pp. 1933-1942 ◽  
Author(s):  
Quan Xu ◽  
Na Xu ◽  
Hai Xu ◽  
Liang Tang ◽  
Jin Liu ◽  
...  

2005 ◽  
Vol 2 (3) ◽  
Author(s):  
Margaret Otlowski

IntroductionThe new knowledge from the Human Genome Project has created much interest and anticipation of improved health for the population. A significant aspect of this has been the expanded use of genetic testing to identify whether a person has the affected gene and is therefore at risk of developing a particular condition or, in the case of conditions inherited on an autosomal dominant basis, establishing that a person is presymptomatic of a condition that they will almost certainly develop. Whilst knowledge of genetic risk can be of great benefit, in allowing life-planning in the knowledge of that risk, and in some cases, taking of preventative measures, concerns have been generated about the availability of genetic test information, and the use that commercial third parties may seek to make of this information.


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