SNP-based mate allocation strategies to maximize total genetic value in pigs

Autor: Zulma G. Vitezica, Céline Carillier-Jacquin, Alban Bouquet, L. Tusell, David González-Diéguez
Přispěvatelé: Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Male
lcsh:QH426-470
Offspring
Swine
[SDV]Life Sciences [q-bio]
Inheritance Patterns
selection
Single-nucleotide polymorphism
genomic prediction
dominance variance
feed-efficiency
french landrace
large white
pedigree
covariance
Biology
Breeding
Polymorphism
Single Nucleotide
03 medical and health sciences
Statistics
Genetic variation
Genetics
Inbreeding depression
Animals
Allele
Selection
Genetic
Additive model
Ecology
Evolution
Behavior and Systematics
ComputingMilieux_MISCELLANEOUS
030304 developmental biology
lcsh:SF1-1100
Genes
Dominant
0303 health sciences
Body Weight
0402 animal and dairy science
04 agricultural and veterinary sciences
General Medicine
040201 dairy & animal science
lcsh:Genetics
[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics
Genetic gain
Animal Science and Zoology
Female
lcsh:Animal culture
Autre (Sciences du Vivant)
Research Article
Zdroj: Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), ⟨10.1186/s12711-019-0498-y⟩
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.55. ⟨10.1186/s12711-019-0498-y⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-10 (2019)
Genetics Selection Evolution 1 (51), Non paginé. (2019)
ISSN: 0999-193X
1297-9686
DOI: 10.1186/s12711-019-0498-y⟩
Popis: BackgroundMate allocation strategies that account for non-additive genetic effects can be used to maximize the overall genetic merit of future offspring. Accounting for dominance effects in genetic evaluations is easier in a genomic context, than in a classical pedigree-based context because the combinations of alleles at loci are known. The objective of our study was two-fold. First, dominance variance components were estimated for age at 100 kg (AGE), backfat depth (BD) at 140 days, and for average piglet weight at birth within litter (APWL). Second, the efficiency of mate allocation strategies that account for dominance and inbreeding depression to maximize the overall genetic merit of future offspring was explored.ResultsGenetic variance components were estimated using genomic models that included inbreeding depression with and without non-additive genetic effects (dominance). Models that included dominance effects did not fit the data better than the genomic additive model. Estimates of dominance variances, expressed as a percentage of additive genetic variance, were 20, 11, and 12% for AGE, BD, and APWL, respectively. Estimates of additive and dominance single nucleotide polymorphism effects were retrieved from the genetic variance component estimates and used to predict the outcome of matings in terms of total genetic and breeding values. Maximizing total genetic values instead of breeding values in matings gave the progeny an average advantage of − 0.79 days, − 0.04 mm, and 11.3 g for AGE, BD and APWL, respectively, but slightly reduced the expected additive genetic gain, e.g. by 1.8% for AGE.ConclusionsGenomic mate allocation accounting for non-additive genetic effects is a feasible and potential strategy to improve the performance of the offspring without dramatically compromising additive genetic gain.
Databáze: OpenAIRE
Externí odkaz: