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Genomics and genetics

Current setup of genomics makes use of accurate relations between animals and will increase genetic gain across all traits with 30% or more. With accurate phenotypes, enough animals to select from, a short generation interval, and a high accuracy of breeding values we can make maximum use of genomic selection.

With the arrival of abundant genomic information, we are better able to capture heterosis and genetic dominance in lines and crossbreds. With this new source of information, we may not only improve our understanding of the genetic architecture of complex traits, but we will also be able to optimize matings even in purebred populations, in order to find the service sire that produces most heterozygote markers given the specific sow. Topigs Norsvin is heavily investing in understanding heterosis and dominance to be able to better predict crossbred performance.

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The sow matters

Piglet survival is not just down to the piglet, also the mother is important. Research shows that breeding for mothering abilities is possible and that it positively influences piglet survival. Increasing piglet survival is relevant from an economic perspective as higher piglet mortality results in a higher cost price. Besides the economic relevance, increasing survival is also important for social acceptance.

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Selection for longevity works

High total feed efficiency in the value chain is dependent on sows delivering their litters at a steady rate. The cost of producing replacement gilts is substantial and involuntarily culling of a sow will decrease total profit. Reasons for culling are numerous and including each reason as a specific trait in a breeding goal is not feasible. An alternative route is to select for longevity directly, measured by how many litters a sow has produced within a given timeframe.

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Breeding for crossbred performance

Traditionally, estimation of breeding values makes use of data from purebred animals collected at nucleus farms. Topigs Norsvin is implementing a new breeding method where crossbred performance is used. This results in better performance.

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Large-scale genotyping by Topigs Norsvin

Topigs Norsvin is currently genotyping around 40,000 animals with 60,000 genetic markers each. This large-scale genotyping is done to gain a better understanding of pig traits.

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Topigs Norsvin speeds up with genomics

The current setup of genomics makes use of accurate relations between animals and will increase genetic gain across all traits by 30% or more.

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Not just a single step

Topigs Norsvin demonstrates the high level of its R&D in the implementation of single-step selection in our breeding value estimation.

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Scientific publications

2015Carolina Filardi de Campos, Marcos Soares Lopes, Fabyano Fonseca e Silva, Renata Veroneze, Egbert F. Knol, Paulo Sávio Lopes, Simone E.F. GuimarãesGenomic selection for boar taint compounds and carcass traits in a commercial pig populationLivestock Science
2015Marcos S. Lopes, John W. M. Bastiaansen, Luc Janss, Egbert F. Knol, Henk BovenhuisEstimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic DataG3: Genes|Genomes|Genetics
2015R. Veroneze, M. S. Lopes, A. M. Hidalgo, S. E. F. Guimarães, F. F. Silva, B. Harlizius, P. S. Lopes, E. F. Knol, J. A. M. van Arendonk and J. W. M. BastiaansenAccuracy of genome-enabled prediction exploring purebred and crossbred pig populationsJournal of Animal Science
2015Elansary, M., Stinckens, A., Ahariz, N., Cambisano, N., Coppieters, W., Grindflek, E., van Son, M., Buys, N. and Georges, M.On the use of the transmission disequilibrium test to detect pseudo-autosomal variants affecting traits with sex-limited expressionAnimal Genetics
2015Lopes M.S., Bastiaansen J.W.M., Janss L., Knol E.F. & Bovenhuis HGenomic prediction of growth in pigs based on a model including additive and dominance effects.Journal of Animal Breeding and Genetics
2015Bosse M., Lopes M.S.,Madsen O., Megens H.-J., Crooijmans R.P., Frantz L.A., Harlizius B., Bastiaansen J.W.M. &. Groenen MArtificial selection on introduced Asian haplotypes shaped the genetic architecture in European commercial pigsProceeding Royal Society B
2015Hidalgo A.M., Lopes M.S., Harlizius B. & Bastiaansen J.W.M.Genome-wide association study reveals regions associated with gestation length in two pig populationsAnimal Genetics
2015Hidalgo A.M., Bastiaansen J.W.M., Lopes M.S., Harlizius B., Groenen M.A. & de Koning D.-JAccuracy of predicted genomic breeding values in purebred and crossbred pigsG3: Genes|Genomes|Genetics
2015Hidalgo A.M., Bastiaansen J.W.M., Lopes M.S., Veroneze R., Groenen M.A.M. & de Koning D.-JAccuracy of genomic prediction using deregressed breeding values estimated from purebred and crossbred offspring phenotypes in pigsJournal of Animal Science
2015Duijvesteijn, N.Do not use genomics for the trait# teats, but if you do: it works.PAG XXIII, San Diego
2015Lopes, M.S.; Bastiaansen, J.W.M.; Janss, L.; Knol, E.F.; Bovenhuis, H.Genomic prediction of performance in pigs using additive and dominance effects66th EAAP, Warsaw
2015Van Son, M., I.A. Ranberg, S. Lien, H. Hamland and E. GrindflekGenome wide association study for number of teats and inverted teats in Norsvin Landrace pigs66th EAAP, Warsaw
2015Hidalgo, A.M.,J.W.M. Bastiaansen, M.S. Lopes, M.P.L Calus and D.J. de KoningAccuracy of genomic breeding values of purebreds for crossbred performance in pigs66th EAAP, Warsaw
2015Wijga, S., A.M.F.M. Sprangers, R. Bergsma and E.F. KnolValidation of single step genomic BLUP in field data66th EAAP, Warsaw
2015Guimaraes, S., L.L. Verardo, F.F. Silva, M. Kelly, O. Madsen, M.S. Lopes, P.S. Lopes and E.F. KnolA candidate gene-transcription factor network for number of stillborn pigletsPAG XXIII, San Diego
2015Lopes, M.S. and E.F. KnolO futuro do melhoramento genético de suínosAbraves, Campinas, Brazil
2015Verardo, L.L., S. Guimaraes, F.F. Silva, M. Kelly, O. Madsen, M.S. Lopes, P.S. Lopes and E.F. KnolBeyond GWAS: A gene-transcription factor network for number of teats in pigsPAG XXIII, San Diego
2015Veroneze, R., J. W.M. Bastiaansen, M.S. Lopes, B. Harlizius, P.S. Lopes, E.F. Knol, S.E.F. Guimaraes and J. van ArendonkMulti-population genomic selection in pigsPAG XXIII, San Diego
2014E Sell-Kubiak, P Bijma, EF Knol, HA MulderGenetic analysis of birth weight uniformity in pigs: comparison of methodsWCGALP
2014R Veroneze, JWM Bastiaansen, EF Knol, SEF Guimarães, FF Silva, et alLinkage disequilibrium patterns and persistence of phase in purebred and crossbred pig (Sus scrofa) populationsBMC genetics
2014Linkage disequilibrium patterns and persistence of phase in purebred and crossbred pig (Sus scrofa) populationsSupervised independent component analysis as an alternative method for genomic selection in pigsJournal of Animal Breeding and Genetics
2014AM Hidalgo, JWM Bastiaansen, B Harlizius, EF Knol, MS Lopes, et alAsian low‐androstenone haplotype on pig chromosome 6 does not unfavorably affect production and reproduction traitsAnimal genetics
2014N. Duijvesteijn, E.F. Knol and P. BijmaEstimation and Validation of Indirect Genetic Effects for Average Daily Gain in Two Purebred Sire Lines.WCGALP
2014M Bosse, HJ Megens, LAF Frantz, O Madsen, G Larson, Y Paudel, et alGenomic analysis reveals selection for Asian genes in European pigs following human-mediated introgressionNature communications
2014A. M. Hidalgo, J. W. M. Bastiaansen, M. S. Lopes, B. Harlizius, M. A. M. Groenen and D. J. de KoningAccuracy of Genomic Breeding Values Predicted Within and Across Breeds in Pig PopulationsWCGALP
2014J. W. M. Bastiaansen, H. Bovenhuis, M. S. Lopes, F. F. Silva, H-J. Megens, M. P. L. CalusSNP Effects Depend on Genetic and Environmental ContextWCGALP
2014M.S. Lopes, J.W.M. Bastiaansen, L. Janss, H. Bovenhuis and E.F. KnolUsing SNP Markers to Estimate Additive, Dominance and Imprinting Genetic VarianceWCGALP
2014S.E.F. Guimarães, L.L. Verardo, F.F. Silva, M. Kelly, M.S. Lopes, J.W.M Bastiaansen, P.S. Lopes, E. F. KnolCandidate genes network for number of teats in pigsWCGALP
2014Meuwissen TH, Odegard J, Andersen-Ranberg I, Grindflek EOn the distance of genetic relationships and the accuracy of genomic prediction in pig breedingGenetics Selection Evolution