Literature DB >> 17306200

Non-additive genetic effects for fertility traits in Canadian Holstein cattle.

Valentina Palucci1, Lawrence R Schaeffer, Filippo Miglior, Vern Osborne.   

Abstract

The effects of additive, dominance, additive by dominance, additive by additive and dominance by dominance genetic effects on age at first service, non-return rates and interval from calving to first service were estimated. Practical considerations of computing additive and dominance relationships using the genomic relationship matrix are discussed. The final strategy utilized several groups of 1000 animals (heifers or cows) in which all animals had a non-zero dominance relationship with at least one other animal in the group. Direct inversion of relationship matrices was possible within the 1000 animal subsets. Estimates of variances were obtained using Bayesian methodology via Gibbs sampling. Estimated non-additive genetic variances were generally as large as or larger than the additive genetic variance in most cases, except for non-return rates and interval from calving to first service for cows. Non-additive genetic effects appear to be of sizeable magnitude for fertility traits and should be included in models intended for estimating additive genetic merit. However, computing additive and dominance relationships for all possible pairs of individuals is very time consuming in populations of more than 200 000 animals.

Entities:  

Mesh:

Year:  2007        PMID: 17306200      PMCID: PMC2682836          DOI: 10.1186/1297-9686-39-2-181

Source DB:  PubMed          Journal:  Genet Sel Evol        ISSN: 0999-193X            Impact factor:   4.297


  14 in total

1.  Marker-assisted prediction of non-additive genetic values.

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Journal:  Genetica       Date:  2011-06-15       Impact factor: 1.082

2.  Unraveling additive from nonadditive effects using genomic relationship matrices.

Authors:  Patricio R Muñoz; Marcio F R Resende; Salvador A Gezan; Marcos Deon Vilela Resende; Gustavo de Los Campos; Matias Kirst; Dudley Huber; Gary F Peter
Journal:  Genetics       Date:  2014-10-15       Impact factor: 4.562

3.  Evaluation of polygenic risks for narcolepsy and essential hypersomnia.

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Journal:  J Hum Genet       Date:  2016-06-16       Impact factor: 3.172

4.  Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers.

Authors:  Guosheng Su; Ole F Christensen; Tage Ostersen; Mark Henryon; Mogens S Lund
Journal:  PLoS One       Date:  2012-09-13       Impact factor: 3.240

5.  Non-additive genetic variation in growth, carcass and fertility traits of beef cattle.

Authors:  Sunduimijid Bolormaa; Jennie E Pryce; Yuandan Zhang; Antonio Reverter; William Barendse; Ben J Hayes; Michael E Goddard
Journal:  Genet Sel Evol       Date:  2015-04-02       Impact factor: 4.297

6.  Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows.

Authors:  Hassan Aliloo; Jennie E Pryce; Oscar González-Recio; Benjamin G Cocks; Ben J Hayes
Journal:  BMC Genet       Date:  2015-07-22       Impact factor: 2.797

7.  The Relationship between Runs of Homozygosity and Inbreeding in Jersey Cattle under Selection.

Authors:  Eui-Soo Kim; Tad S Sonstegard; Curtis P Van Tassell; George Wiggans; Max F Rothschild
Journal:  PLoS One       Date:  2015-07-08       Impact factor: 3.240

8.  Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traits.

Authors:  Gota Morota; Prashanth Boddhireddy; Natascha Vukasinovic; Daniel Gianola; Sue Denise
Journal:  Front Genet       Date:  2014-03-24       Impact factor: 4.599

9.  Shared spatial effects on quantitative genetic parameters: accounting for spatial autocorrelation and home range overlap reduces estimates of heritability in wild red deer.

Authors:  Katie V Stopher; Craig A Walling; Alison Morris; Fiona E Guinness; Tim H Clutton-Brock; Josephine M Pemberton; Daniel H Nussey
Journal:  Evolution       Date:  2012-04-09       Impact factor: 3.694

10.  Fine mapping QTL for female fertility on BTA04 and BTA13 in dairy cattle using HD SNP and sequence data.

Authors:  Johanna K Höglund; Goutam Sahana; Rasmus Froberg Brøndum; Bernt Guldbrandtsen; Bart Buitenhuis; Mogens S Lund
Journal:  BMC Genomics       Date:  2014-09-13       Impact factor: 3.969

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