Sparse single-step method for genomic evaluation in pigs

Archive ouverte

Ostersen, Tage | Christensen, Ole F. | Madsen, Per | Henryon, Mark

Edité par CCSD ; BioMed Central -

International audience. BackgroundIn many animal breeding programs, with the increasing number of genotyped animals, estimation of genomic breeding values by the single-step method is becoming limited by excessive computing requirements. A recently proposed algorithm for proven and young animals (APY) is an approximation that reduces computing time drastically by dividing genotyped animals into core and non-core animals, with only computations for core animals being time-consuming. We hypothesized that choosing core animals based on representing all generations, minimizing the relatedness within the core group, or maximizing the number of genotyped offspring, would result in greater accuracies of estimated breeding values (EBV).MethodsWe compared eight different core groups for the three pig breeds DanAvl Duroc, DanAvl Landrace and DanAvl Yorkshire. These eight sparse approximations of the single-step method were evaluated based on correlations of EBV for genotyped animals obtained from the sparse methods with those obtained from the usual version of the single-step method. We used a single-trait model with daily gain as trait.ResultsFor core groups that distributed animals across generations, correlations for genotyped animals (from 0.977 to 0.989) were higher than for those that did not distribute core animals across generations (from 0.934 to 0.956). For core groups that maximized the number of genotyped offspring, correlations for genotyped animals (from 0.983 to 0.989) were higher than for other core groups (from 0.934 to 0.981). There was no clear association between low relatedness within the core group and accuracy of approximations.ConclusionsWe found that for core groups that represent all generations and that maximize the number of genotyped offspring, accurate approximations of EBV were obtained. However, we did not find a clear association between accuracy and relatedness within the core group. For the APY method, this is the first study that reports systematic criteria for the creation of core groups that result in more accurate EBV than a similar-sized random core group. Random core groups only ensure across-generation representation. Therefore, we recommend choosing a core group that represents all generations and that maximizes the number of genotyped offspring for single-step genomic evaluation using the APY method.

Suggestions

Du même auteur

Metabolomic-genomic prediction realizes small increases in accuracy of estimated breeding values for daily gain in pigs

Archive ouverte | Guo, Xiangyu | CCSD

International audience. AbstractBackgroundMetabolomic profiling of blood samples can be done on selection candidates and could be a valuable information source for genetic evaluation of pigs. We hypothesized that in...

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

Archive ouverte | Christensen, Ole F. | CCSD

International audience. AbstractBackgroundCrossbreeding 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 ...

Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs

Archive ouverte | Gao, Hongding | CCSD

International audience. BackgroundIn breeding programs, recording large-scale feed intake (FI) data routinely at the individual level is costly and difficult compared with other production traits. An alternative app...

Chargement des enrichissements...