Ole Fredslund Christensen
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View article: Comparison between repeatability, reproductive stage stratified repeatability, and relative risk models for prediction of breeding values for functional survival in rotationally crossbred sows
Comparison between repeatability, reproductive stage stratified repeatability, and relative risk models for prediction of breeding values for functional survival in rotationally crossbred sows Open
Background The aim of this study was to compare different statistical models for predicting breeding values for sow survival with right-censored phenotypes from rotationally crossbred and commercial sows. We tested two hypotheses. First, w…
View article: Accuracy of local ancestry inference and its impact on genomic prediction in admixed dairy cattle populations
Accuracy of local ancestry inference and its impact on genomic prediction in admixed dairy cattle populations Open
Accurate local ancestry (LA) inference is important for genomic evaluations in admixed dairy cattle. This study had 2 main objectives: to compare the performance of 3 LA inference software: AllOr, BreedOrigin, and ChromoPainter, and to eva…
View article: Repeatability and genetic parameters for phenotypes of methane emission in crossbred beef × dairy slaughter calves
Repeatability and genetic parameters for phenotypes of methane emission in crossbred beef × dairy slaughter calves Open
Crossbreeding beef sires with dairy cows to produce beef × dairy calves is becoming increasingly common. To incorporate CH4 reduction into breeding objectives, it is essential to accurately measure related traits and phenotypes in a suffic…
View article: Modeling feed efficiency over productive lifetime and integrating a submodel for body reserve management in Nordic dairy cattle
Modeling feed efficiency over productive lifetime and integrating a submodel for body reserve management in Nordic dairy cattle Open
Genetic enhancement of feed efficiency can improve the economic sustainability and environmental responsibility of dairy farming. Although genetic selection holds promise for improving feed efficiency across the lifespan of dairy cows, com…
View article: Genomic Prediction of Genetic Residual Feed Intake Integrating a Novel Energy Sink for Change in Body Reserves
Genomic Prediction of Genetic Residual Feed Intake Integrating a Novel Energy Sink for Change in Body Reserves Open
Traditionally, a two-step modeling approach of residual feed intake (RFI) is incorporated into the Feed Saved index at dairy cattle genetic evaluation centers. Challenges have been identified in the 1st step on handling fixed effects in th…
View article: Microbiability of milk composition and genetic control of microbiota effects in sheep
Microbiability of milk composition and genetic control of microbiota effects in sheep Open
Recently, high-dimensional omics data are becoming available in larger quantities, and models have been developed that integrate them with genomics to understand in finer detail the relationship between genotype and phenotype, and thus imp…
View article: The impact of genotyping strategies and statistical models on accuracy of genomic prediction for survival in pigs
The impact of genotyping strategies and statistical models on accuracy of genomic prediction for survival in pigs Open
Background Survival from birth to slaughter is an important economic trait in commercial pig productions. Increasing survival can improve both economic efficiency and animal welfare. The aim of this study is to explore the impact of genoty…
View article: Additional file 1 of Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds
Additional file 1 of Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds Open
Additional file 1. It contains the QMSim instruction file for the simulation in Example II.
View article: Additional file 1 of The impact of genotyping strategies and statistical models on accuracy of genomic prediction for survival in pigs
Additional file 1 of The impact of genotyping strategies and statistical models on accuracy of genomic prediction for survival in pigs Open
Additional file 1: Table S1. Correlation coefficient between the EBV and true breeding values for validation individuals with or without genotypes. Table S2. Regression coefficient of the EBV from whole data on the EBV from reference data …
View article: Additional file 2 of Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds
Additional file 2 of Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds Open
Additional file 2. It contains the Julia code for the construction and inversion of the relationship matrices used in Example II.
View article: 504. Rumen bacteria do not provide improved genetic evaluation of dairy traits in sheep
504. Rumen bacteria do not provide improved genetic evaluation of dairy traits in sheep Open
It is now widely accepted that animals’ phenotypes are determined by the host genetic and the microbiome composition. For the genetic evaluation purpose, our objectives are to estimate the heritability and microbiability, and the additive …
View article: Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes
Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes Open
Gene expression is supposed to be an intermediate between DNA and the phenotype, and it can be measured. Thus, for a trait, we may have intermediate measures, which are in fact a series of genetically controlled traits. Similarly, several …
View article: Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows
Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows Open
For genomic prediction of crossbred animals, models that account for the breed origin of alleles (BOA) in marker genotypes can allow the effects of marker alleles to differ depending on their ancestral breed. Previous studies have shown th…
View article: Metabolomic-Genomic prediction drastically improves prediction accuracy of breeding values in crop breeding
Metabolomic-Genomic prediction drastically improves prediction accuracy of breeding values in crop breeding Open
Metabolomics is intermediate stage between genotype and phenotype, and therefore useful for breeding. Objective was to investigate heritabilities and accuracies of genetic evaluation of malting quality (MQ) traits by integrating both genom…
View article: Genomic predictions for crossbred dairy cows by combining solutions from purebred evaluation based on breed origin of alleles
Genomic predictions for crossbred dairy cows by combining solutions from purebred evaluation based on breed origin of alleles Open
Genomic predictions have been applied for dairy cattle for more than a decade with great success, but genomic estimated breeding values (GEBV) are not widely available for crossbred dairy cows. The large reference populations already in pl…
View article: Additional file 2 of Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans
Additional file 2 of Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans Open
Additional file 2: Supplementary Table S1.
View article: Additional file 3 of Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans
Additional file 3 of Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans Open
Additional file 3: Supplementary Table S2.
View article: Single-step genomic evaluation with metafounders for feed conversion ratio and average daily gain in Danish Landrace and Yorkshire pigs
Single-step genomic evaluation with metafounders for feed conversion ratio and average daily gain in Danish Landrace and Yorkshire pigs Open
Background The single-step genomic best linear unbiased prediction (SSGBLUP) method is a popular approach for genetic evaluation with high-density genotype data. To solve the problem that pedigree and genomic relationship matrices refer to…