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You searched for: Subject "marker-assisted selection" Remove constraint Subject: "marker-assisted selection" Journal Genetics, selection, evolution Remove constraint Journal: Genetics, selection, evolution Publication Year 2014 Remove constraint Publication Year: 2014 Subject single nucleotide polymorphism Remove constraint Subject: single nucleotide polymorphism Text Availability Full Text Remove constraint Text Availability: Full Text
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1. Accuracy of genomic predictions in Bos indicus (Nellore) cattle

Author:
Neves, Haroldo HR; Carvalheiro, Roberto; O’Brien, Ana M Pérez; Utsunomiya, Yuri T; do Carmo, Adriana S; Schenkel, Flávio S; Sölkner, Johann; McEwan, John C; Van Tassell, Curtis P; Cole, John B; da Silva, Marcos VGB; Queiroz, Sandra A; Sonstegard, Tad S; Garcia, José Fernando
Source:
Genetics, selection, evolution 2014 v.46 no.1 pp. 2660
ISSN:
1297-9686
Subject:
marker-assisted selection,   etc   ; Nellore; beef; bulls; carcass weight; early development; finishing; genetic improvement; genetic merit; gestation period; models; prediction; principal component analysis; regression analysis; scrotum; selection index; single nucleotide polymorphism; weaning; young animals; zebu;     Show all 20 Subjects
Abstract:
... BACKGROUND: Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvement of production and fertility in this breed. We present the first results of the implementation of genomic prediction in a Bos indicus (Nellore) population. METHODS: Influential bulls were genotyped w ...
Handle:
10113/58866
DOI:
10.1186/1297-9686-46-17
PubMed:
24575732
PubMed Central:
PMC4014866

2. Accuracy of genotype imputation in Nelore cattle

Author:
Carvalheiro, Roberto; Boison, Solomon A; Neves, Haroldo H R; Sargolzaei, Mehdi; Schenkel, Flavio S; Utsunomiya, Yuri T; O’Brien, Ana Maria Pérez; Sölkner, Johann; McEwan, John C; Van Tassell, Curtis P; Sonstegard, Tad S; Garcia, José Fernando
Source:
Genetics, selection, evolution 2014 v.46 no.1 pp. 69
ISSN:
1297-9686
Subject:
marker-assisted selection,   etc   ; Nellore; bulls; computer software; cost effectiveness; cows; gene frequency; genetic markers; genotype; genotyping; linkage disequilibrium; prediction; single nucleotide polymorphism; sires; zebu; zebu breeds;     Show all 16 Subjects
Abstract:
... BACKGROUND: Genotype imputation from low-density (LD) to high-density single nucleotide polymorphism (SNP) chips is an important step before applying genomic selection, since denser chips tend to provide more reliable genomic predictions. Imputation methods rely partially on linkage disequilibrium between markers to infer unobserved genotypes. Bos indicus cattle (e.g. Nelore breed) are characteriz ...
DOI:
10.1186/s12711-014-0069-1
PubMed:
25927950
PubMed Central:
PMC4192291

3. A genome-wide association study of production traits in a commercial population of Large White pigs: evidence of haplotypes affecting meat quality

Author:
Sanchez, Marie-Pierre; Tribout, Thierry; Iannuccelli, Nathalie; Bouffaud, Marcel; Servin, Bertrand; Tenghe, Amabel; Dehais, Patrice; Muller, Nelly; Del Schneider, Maria Pilar; Mercat, Marie-José; Rogel-Gaillard, Claire; Milan, Denis; Bidanel, Jean-Pierre; Gilbert, Hélène
Source:
Genetics, selection, evolution 2014 v.46 no.1 pp. 2606
ISSN:
1297-9686
Subject:
marker-assisted selection,   etc   ; Large White; autosomes; carcass composition; feed conversion; feed intake; genome; genome assembly; haplotypes; kinship; meat composition; meat quality; microsatellite repeats; models; phenotype; quantitative trait loci; single nucleotide polymorphism; sires; swine;     Show all 19 Subjects
Abstract:
... BACKGROUND: Numerous quantitative trait loci (QTL) have been detected in pigs over the past 20 years using microsatellite markers. However, due to the low density of these markers, the accuracy of QTL location has generally been poor. Since 2009, the dense genome coverage provided by the Illumina PorcineSNP60 BeadChip has made it possible to more accurately map QTL using genome-wide association st ...
DOI:
10.1186/1297-9686-46-12
PubMed:
24528607
PubMed Central:
PMC3975960

4. Estimates of missing heritability for complex traits in Brown Swiss cattle

Author:
Román-Ponce, Sergio-Iván; Samoré, Antonia B; Dolezal, Marlies A; Bagnato, Alessandro; Meuwissen, Theo HE
Source:
Genetics, selection, evolution 2014 v.46 no.1 pp. 2665
ISSN:
1297-9686
Subject:
marker-assisted selection,   etc   ; Brown Swiss; animal models; breeding value; dairy bulls; genetic merit; genetic variance; genotyping; heritability; heterozygosity; loci; milk; pedigree; phenotype; population structure; single nucleotide polymorphism; somatic cells; variance;     Show all 18 Subjects
Abstract:
... BACKGROUND: Genomic selection estimates genetic merit based on dense SNP (single nucleotide polymorphism) genotypes and phenotypes. This requires that SNPs explain a large fraction of the genetic variance. The objectives of this work were: (1) to estimate the fraction of genetic variance explained by dense genome-wide markers using 54 K SNP chip genotyping, and (2) to evaluate the effect of altern ...
DOI:
10.1186/1297-9686-46-36
PubMed:
24898214
PubMed Central:
PMC4118788

5. On the distance of genetic relationships and the accuracy of genomic prediction in pig breeding

Author:
Meuwissen, Theo HE; Odegard, Jorgen; Andersen-Ranberg, Ina; Grindflek, Eli
Source:
Genetics, selection, evolution 2014 v.46 no.1 pp. 2669
ISSN:
1297-9686
Subject:
marker-assisted selection,   etc   ; breeding value; gene frequency; genetic distance; haplotypes; lean meat; livestock breeding; pedigree; phenotype; pork; prediction; quantitative trait loci; single nucleotide polymorphism; swine; teats;     Show all 15 Subjects
Abstract:
... BACKGROUND: With the advent of genomic selection, alternative relationship matrices are used in animal breeding, which vary in their coverage of distant relationships due to old common ancestors. Relationships based on pedigree (A) and linkage analysis (G LA) cover only recent relationships because of the limited depth of the known pedigree. Relationships based on identity-by-state (G) include rel ...
DOI:
10.1186/1297-9686-46-49
PubMed:
25158793
PubMed Central:
PMC4237822

6. Prioritizing animals for dense genotyping in order to impute missing genotypes of sparsely genotyped animals

Author:
Yu, Xijiang; Woolliams, John A; Meuwissen, Theo HE
Source:
Genetics, selection, evolution 2014 v.46 no.1 pp. 2628
ISSN:
1297-9686
Subject:
marker-assisted selection,   etc   ; Beagle; genetic variance; genotype; genotyping; pedigree; prediction; progeny; single nucleotide polymorphism; sires; swine; system optimization; variance;     Show all 13 Subjects
Abstract:
... BACKGROUND: Genotyping accounts for a substantial part of the cost of genomic selection (GS). Using both dense and sparse SNP chips, together with imputation of missing genotypes, can reduce these costs. The aim of this study was to identify the set of candidates that are most important for dense genotyping, when they are used to impute the genotypes of sparsely genotyped animals. In a real pig pe ...
DOI:
10.1186/1297-9686-46-46
PubMed:
25158690
PubMed Central:
PMC4283150

7. The extent of linkage disequilibrium in beef cattle breeds using high-density SNP genotypes

Author:
Porto-Neto, Laercio R; Kijas, James W; Reverter, Antonio
Source:
Genetics, selection, evolution 2014 v.46 no.1 pp. 2608
ISSN:
1297-9686
Subject:
marker-assisted selection,   etc   ; X chromosome; beef cattle; cattle breeds; genetic markers; genotype; linkage disequilibrium; population size; single nucleotide polymorphism;     Show all 9 Subjects
Abstract:
... BACKGROUND: The extent of linkage disequilibrium (LD) between molecular markers impacts genome-wide association studies and implementation of genomic selection. The availability of high-density single nucleotide polymorphism (SNP) genotyping platforms makes it possible to investigate LD at an unprecedented resolution. In this work, we characterised LD decay in breeds of beef cattle of taurine, ind ...
DOI:
10.1186/1297-9686-46-22
PubMed:
24661366
PubMed Central:
PMC4021229