Literature DB >> 23684028

Evaluation of inbreeding depression in Holstein cattle using whole-genome SNP markers and alternative measures of genomic inbreeding.

D W Bjelland1, K A Weigel, N Vukasinovic, J D Nkrumah.   

Abstract

The effects of increased pedigree inbreeding in dairy cattle populations have been well documented and result in a negative impact on profitability. Recent advances in genotyping technology have allowed researchers to move beyond pedigree analysis and study inbreeding at a molecular level. In this study, 5,853 animals were genotyped for 54,001 single nucleotide polymorphisms (SNP); 2,913 cows had phenotypic records including a single lactation for milk yield (from either lactation 1, 2, 3, or 4), reproductive performance, and linear type conformation. After removing SNP with poor call rates, low minor allele frequencies, and departure from Hardy-Weinberg equilibrium, 33,025 SNP remained for analyses. Three measures of genomic inbreeding were evaluated: percent homozygosity (FPH), inbreeding calculated from runs of homozygosity (FROH), and inbreeding derived from a genomic relationship matrix (FGRM). Average FPH was 60.5±1.1%, average FROH was 3.8±2.1%, and average FGRM was 20.8±2.3%, where animals with larger values for each of the genomic inbreeding indices were considered more inbred. Decreases in total milk yield to 205d postpartum of 53, 20, and 47kg per 1% increase in FPH, FROH, and FGRM, respectively, were observed. Increases in days open per 1% increase in FPH (1.76 d), FROH (1.72 d), and FGRM (1.06 d) were also noted, as well as increases in maternal calving difficulty (0.09, 0.03, and 0.04 on a 5-point scale for FPH, FROH, and FGRM, respectively). Several linear type traits, such as strength (-0.40, -0.11, and -0.19), rear legs rear view (-0.35, -0.16, and -0.14), front teat placement (0.35, 0.25, 0.18), and teat length (-0.24, -0.14, and -0.13) were also affected by increases in FPH, FROH, and FGRM, respectively. Overall, increases in each measure of genomic inbreeding in this study were associated with negative effects on production and reproductive ability in dairy cows.
Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23684028     DOI: 10.3168/jds.2012-6435

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


  61 in total

1.  The use of runs of homozygosity for estimation of recent inbreeding in Holstein cattle.

Authors:  A Gurgul; T Szmatoła; P Topolski; I Jasielczuk; K Żukowski; M Bugno-Poniewierska
Journal:  J Appl Genet       Date:  2016-01-23       Impact factor: 3.240

2.  Identification of genomic regions associated with inbreeding depression in Holstein and Jersey dairy cattle.

Authors:  Jennie E Pryce; Mekonnen Haile-Mariam; Michael E Goddard; Ben J Hayes
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Journal:  PLoS One       Date:  2015-04-16       Impact factor: 3.240

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Authors:  Qianqian Zhang; Mario P L Calus; Bernt Guldbrandtsen; Mogens S Lund; Goutam Sahana
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Authors:  Qianqian Zhang; Bernt Guldbrandtsen; Mirte Bosse; Mogens S Lund; Goutam Sahana
Journal:  BMC Genomics       Date:  2015-07-22       Impact factor: 3.969

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Authors:  Jeremy T Howard; Christian Maltecca; Mekonnen Haile-Mariam; Ben J Hayes; Jennie E Pryce
Journal:  BMC Genomics       Date:  2015-03-15       Impact factor: 3.969

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9.  Trends in genetic diversity and the effect of inbreeding in American Angus cattle under genomic selection.

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Journal:  Genet Sel Evol       Date:  2021-06-16       Impact factor: 4.297

10.  Ethiopian indigenous goats offer insights into past and recent demographic dynamics and local adaptation in sub-Saharan African goats.

Authors:  Getinet M Tarekegn; Negar Khayatzadeh; Bin Liu; Sarah Osama; Aynalem Haile; Barbara Rischkowsky; Wenguang Zhang; Kassahun Tesfaye; Tadelle Dessie; Okeyo A Mwai; Appolinaire Djikeng; Joram M Mwacharo
Journal:  Evol Appl       Date:  2021-06-15       Impact factor: 5.183

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