Evidence map›Paper›PMID 31426753›Full record

ArticleGenetics, selection, evolution : GSE2019

A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs.

Ole F Christensen, Bjarne Nielsen, Guosheng Su, Tao Xiang, Per Madsen, Tage Ostersen, Ingela Velander, Anders B Strathe

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 66 citations in OpenAlex.

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  6. Genomic Prediction Methods Accounting for Nonadditive Genetic Effects.Methods in molecular biology (Clifton, N.J.) · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Ole F ChristensenDepartment of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, Blichers Alle 20, 8830, Tjele, Denmark. olef.christensen@mbg.au.dk.ORCID http://orcid.org/0000-0002-8230-8062
Bjarne NielsenSEGES Pig Research Centre, Axeltorv 3, 1609, Copenhagen V, Denmark.
Guosheng SuDepartment of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, Blichers Alle 20, 8830, Tjele, Denmark.
Tao XiangCollege of Animal Sciences and Technology, Huazhong Agricultural University, No. 1 Shizihan St., Hongshan District, Wuhan, 430070, Hubei, People's Republic of China.
Per MadsenDepartment of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, Blichers Alle 20, 8830, Tjele, Denmark.
Tage OstersenSEGES Pig Research Centre, Axeltorv 3, 1609, Copenhagen V, Denmark.
Ingela VelanderSEGES Pig Research Centre, Axeltorv 3, 1609, Copenhagen V, Denmark.
Anders B StratheSEGES Pig Research Centre, Axeltorv 3, 1609, Copenhagen V, Denmark.
Aarhus University · DKKnowledge Centre for Agriculture · DKHuazhong Agricultural University · CNNovo Nordisk (Denmark) · DK

Funding

Ministeriet for Fø devarer, Landbrug og Fiskeri 34009-12-0540Ministeriet for Fø devarer, Landbrug og Fiskeri 34009-14-0849
6 · The paper itself

Abstract

backgroundCrossbreeding is widely used in pig production because of the benefits of heterosis effects and breed complementarity. Commonly, sire lines are bred for traits such as feed efficiency, growth and meat content, whereas maternal lines are also bred for reproduction and longevity traits, and the resulting three-way crossbred pigs are used for production of meat. The most important genetic basis for heterosis is dominance effects, e.g. removal of inbreeding depression. The aims of this study were to (1) present a modification of a previously developed model with additive, dominance and inbreeding depression genetic effects for analysis of data from a purebred sire line and three-way crossbred pigs; (2) based on this model, present equations for additive genetic variances, additive genetic covariance, and estimated breeding values (EBV) with associated accuracies for purebred and crossbred performances; (3) use the model to analyse four production traits, i.e. ultra-sound recorded backfat thickness (BF), conformation score (CONF), average daily gain (ADG), and feed conversion ratio (FCR), recorded on Danbred Duroc and Danbred Duroc-Landrace-Yorkshire crossbred pigs reared in the same environment; and (4) obtain estimates of genetic parameters, additive genetic correlations between purebred and crossbred performances, and EBV with associated accuracies for purebred and crossbred performances for this data set.

resultsAdditive genetic correlations (with associated standard errors) between purebred and crossbred performances were equal to 0.96 (0.07), 0.83 (0.16), 0.75 (0.17), and 0.87 (0.18) for BF, CONF, ADG, and FCR, respectively. For BF, ADG, and FCR, the additive genetic variance was smaller for purebred performance than for crossbred performance, but for CONF the reverse was observed. EBV on Duroc boars were more accurate for purebred performance than for crossbred performance for BF, CONF and FCR, but not for ADG.

conclusionsMethodological developments led to equations for genetic (co)variances and EBV with associated accuracies for purebred and crossbred performances in a three-way crossbreeding system. As illustrated by the data analysis, these equations may be useful for implementation of genomic selection in this system.

Indexed as

BreedingInbreeding DepressionModels, GeneticModels, StatisticalAnimalsCrosses, GeneticFemaleGenetic VariationHybridization, GeneticMaleSwine

Identifiers

PMID31426753
PMCPMC6701075
OpenAlexW2969427740

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.