Literature DB >> 22583324

Pedigree- and marker-based methods in the estimation of genetic diversity in small groups of Holstein cattle.

K A Engelsma1, R F Veerkamp, M P L Calus, P Bijma, J J Windig.   

Abstract

Genetic diversity is often evaluated using pedigree information. Currently, diversity can be evaluated in more detail over the genome based on large numbers of SNP markers. Pedigree- and SNP-based diversity were compared for two small related groups of Holstein animals genotyped with the 50 k SNP chip, genome-wide, per chromosome and for part of the genome examined. Diversity was estimated with coefficient of kinship (pedigree) and expected heterozygosity (SNP). SNP-based diversity at chromosome regions was determined using 5-Mb sliding windows, and significance of difference between groups was determined by bootstrapping. Both pedigree- and SNP-based diversity indicated more diversity in one of the groups; 26 of the 30 chromosomes showed significantly more diversity for the same group, as did 25.9% of the chromosome regions. Even in small populations that are genetically close, differences in diversity can be detected. Pedigree- and SNP-based diversity give comparable differences, but SNP-based diversity shows on which chromosome regions these differences are based. For maintaining diversity in a gene bank, SNP-based diversity gives a more detailed picture than pedigree-based diversity.
© 2012 Blackwell Verlag GmbH.

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Year:  2012        PMID: 22583324     DOI: 10.1111/j.1439-0388.2012.00987.x

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  8 in total

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Authors:  María Saura; Almudena Fernández; M Carmen Rodríguez; Miguel A Toro; Carmen Barragán; Ana I Fernández; Beatriz Villanueva
Journal:  PLoS One       Date:  2013-10-31       Impact factor: 3.240

2.  Which Individuals To Choose To Update the Reference Population? Minimizing the Loss of Genetic Diversity in Animal Genomic Selection Programs.

Authors:  Sonia E Eynard; Pascal Croiseau; Denis Laloë; Sebastien Fritz; Mario P L Calus; Gwendal Restoux
Journal:  G3 (Bethesda)       Date:  2018-01-04       Impact factor: 3.154

3.  A double-labeling marker-based method for estimating inbreeding and parental genomic components in a population under conservation.

Authors:  Wenting Li; Mengmeng Zhang; Kejun Wang; Yunfeng Lu; Hui Tang; Keliang Wu
Journal:  Asian-Australas J Anim Sci       Date:  2019-07-01       Impact factor: 2.509

4.  The Association Between Genomic Heterozygosity and Carcass Merit in Cattle.

Authors:  David Kenny; Tara R Carthy; Craig P Murphy; Roy D Sleator; Ross D Evans; Donagh P Berry
Journal:  Front Genet       Date:  2022-02-24       Impact factor: 4.599

5.  Genome-wide genetic diversity and differentially selected regions among Suffolk, Rambouillet, Columbia, Polypay, and Targhee sheep.

Authors:  Lifan Zhang; Michelle R Mousel; Xiaolin Wu; Jennifer J Michal; Xiang Zhou; Bo Ding; Michael V Dodson; Nermin K El-Halawany; Gregory S Lewis; Zhihua Jiang
Journal:  PLoS One       Date:  2013-06-10       Impact factor: 3.240

6.  The use of genomic coancestry matrices in the optimisation of contributions to maintain genetic diversity at specific regions of the genome.

Authors:  Fernando Gómez-Romano; Beatriz Villanueva; Jesús Fernández; John A Woolliams; Ricardo Pong-Wong
Journal:  Genet Sel Evol       Date:  2016-01-13       Impact factor: 4.297

7.  Trends in genome-wide and region-specific genetic diversity in the Dutch-Flemish Holstein-Friesian breeding program from 1986 to 2015.

Authors:  Harmen P Doekes; Roel F Veerkamp; Piter Bijma; Sipke J Hiemstra; Jack J Windig
Journal:  Genet Sel Evol       Date:  2018-04-11       Impact factor: 4.297

8.  The value of genomic relationship matrices to estimate levels of inbreeding.

Authors:  Beatriz Villanueva; Almudena Fernández; María Saura; Armando Caballero; Jesús Fernández; Elisabeth Morales-González; Miguel A Toro; Ricardo Pong-Wong
Journal:  Genet Sel Evol       Date:  2021-05-01       Impact factor: 5.100

  8 in total

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