Literature DB >> 9532510

Genetic evaluation for herd life in Canada.

L Jairath1, J C Dekkers, L R Schaeffer, Z Liu, E B Burnside, B Kolstad.   

Abstract

Methods were developed for the national genetic evaluation of herd life for Canadian Holstein sires. The genetic evaluations incorporate information from survival (direct herd life) and information from conformation traits that are related to herd life (indirect herd life) after adjustment for production in first lactation to remove the effect of culling for production. Direct genetic evaluations for herd life were based on survival in each of the first three lactations, which was analyzed using a multiple-trait animal model. Sire evaluations thus obtained for survival in each of the first three lactations were combined based on their economic weights into an overall sire evaluation for direct herd life. Sire evaluations for indirect herd life were based on an index of sire evaluations for mammary system, feet and legs, rump, and capacity. A multiple-trait sire model based on multiple-trait across country evaluation methodology was used to combine direct and indirect genetic evaluations for herd life into an overall genetic evaluation for herd life. Sire evaluations for herd life were expressed in estimated transmitting ability as the number of lactations and represent expected differences among daughters in functional herd life (number of lactations); the average functional herd life was set equal to three lactations. Estimated transmitting abilities were normally distributed and ranged from 2.31 to 3.43 lactations.

Entities:  

Mesh:

Year:  1998        PMID: 9532510     DOI: 10.3168/jds.S0022-0302(98)75607-3

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  22 in total

1.  Genomic Prediction Using Individual-Level Data and Summary Statistics from Multiple Populations.

Authors:  Jeremie Vandenplas; Mario P L Calus; Gregor Gorjanc
Journal:  Genetics       Date:  2018-07-18       Impact factor: 4.562

Review 2.  Genomic prediction in animals and plants: simulation of data, validation, reporting, and benchmarking.

Authors:  Hans D Daetwyler; Mario P L Calus; Ricardo Pong-Wong; Gustavo de Los Campos; John M Hickey
Journal:  Genetics       Date:  2012-12-05       Impact factor: 4.562

3.  Fitting and validating the genomic evaluation model to Polish Holstein-Friesian cattle.

Authors:  Joanna Szyda; Andrzej Zarnecki; Tomasz Suchocki; Stanisław Kamiński
Journal:  J Appl Genet       Date:  2011-05-07       Impact factor: 3.240

4.  Fecal microbiota and their association with heat stress in Bos taurus.

Authors:  Bartosz Czech; Joanna Szyda; Kai Wang; Hanpeng Luo; Yachun Wang
Journal:  BMC Microbiol       Date:  2022-07-05       Impact factor: 4.465

5.  Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population.

Authors:  Hongding Gao; Ole F Christensen; Per Madsen; Ulrik S Nielsen; Yuan Zhang; Mogens S Lund; Guosheng Su
Journal:  Genet Sel Evol       Date:  2012-07-06       Impact factor: 4.297

6.  Principal component approach in variance component estimation for international sire evaluation.

Authors:  Anna-Maria Tyrisevä; Karin Meyer; W Freddy Fikse; Vincent Ducrocq; Jette Jakobsen; Martin H Lidauer; Esa A Mäntysaari
Journal:  Genet Sel Evol       Date:  2011-05-24       Impact factor: 4.297

7.  Accounting for genomic pre-selection in national BLUP evaluations in dairy cattle.

Authors:  Clotilde Patry; Vincent Ducrocq
Journal:  Genet Sel Evol       Date:  2011-08-18       Impact factor: 4.297

8.  A common reference population from four European Holstein populations increases reliability of genomic predictions.

Authors:  Mogens S Lund; Adrianus P W de Roos; Alfred G de Vries; Tom Druet; Vincent Ducrocq; Sébastien Fritz; François Guillaume; Bernt Guldbrandtsen; Zenting Liu; Reinhard Reents; Chris Schrooten; Franz Seefried; Guosheng Su
Journal:  Genet Sel Evol       Date:  2011-12-12       Impact factor: 4.297

9.  Single-step genomic evaluation of Russian dairy cattle using internal and external information.

Authors:  Andrei A Kudinov; Esa A Mäntysaari; Timo J Pitkänen; Ekaterina I Saksa; Gert P Aamand; Pekka Uimari; Ismo Strandén
Journal:  J Anim Breed Genet       Date:  2021-11-28       Impact factor: 3.271

10.  Deregressing estimated breeding values and weighting information for genomic regression analyses.

Authors:  Dorian J Garrick; Jeremy F Taylor; Rohan L Fernando
Journal:  Genet Sel Evol       Date:  2009-12-31       Impact factor: 4.297

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.