Search Results - "Christensen, Olé F"

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  1. 1

    Change in Peat Coverage in Danish Cultivated Soils During the Past 35 Years by Greve, Mogens H, Christensen, Olé F, Greve, Mette B, Kheir, Rania Bou

    Published in Soil science (01-05-2014)
    “…ABSTRACTMapping the spatial and temporal changes of peatland in farming systems is crucial to the study of soil quality and productivity and the modeling of…”
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  2. 2

    Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers by Su, Guosheng, Christensen, Ole F, Ostersen, Tage, Henryon, Mark, Lund, Mogens S

    Published in PloS one (13-09-2012)
    “…Non-additive genetic variation is usually ignored when genome-wide markers are used to study the genetic architecture and genomic prediction of complex traits…”
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  3. 3

    Genomic prediction when some animals are not genotyped by Christensen, Ole F, Lund, Mogens S

    Published in Genetics selection evolution (Paris) (27-01-2010)
    “…The use of genomic selection in breeding programs may increase the rate of genetic improvement, reduce the generation time, and provide higher accuracy of…”
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  4. 4

    Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships by Legarra, Andres, Christensen, Ole F, Vitezica, Zulma G, Aguilar, Ignacio, Misztal, Ignacy

    Published in Genetics (Austin) (01-06-2015)
    “…Recent use of genomic (marker-based) relationships shows that relationships exist within and across base population (breeds or lines). However, current…”
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  5. 5

    Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups by Macedo, Fernando L, Christensen, Ole F, Astruc, Jean-Michel, Aguilar, Ignacio, Masuda, Yutaka, Legarra, Andrés

    Published in Genetics selection evolution (Paris) (12-08-2020)
    “…Bias has been reported in genetic or genomic evaluations of several species. Common biases are systematic differences between averages of estimated and true…”
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  6. 6

    Compatibility of pedigree-based and marker-based relationship matrices for single-step genetic evaluation by Christensen, Ole F

    Published in Genetics selection evolution (Paris) (03-12-2012)
    “…Single-step methods provide a coherent and conceptually simple approach to incorporate genomic information into genetic evaluations. An issue with single-step…”
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  7. 7

    Redefining and interpreting genomic relationships of metafounders by Legarra, Andres, Bermann, Matias, Mei, Quanshun, Christensen, Ole F

    Published in Genetics selection evolution (Paris) (02-05-2024)
    “…Metafounders are a useful concept to characterize relationships within and across populations, and to help genetic evaluations because they help modelling the…”
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  8. 8

    Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation-maximization maximum likelihood and increase of relationships by Legarra, Andres, Bermann, Matias, Mei, Quanshun, Christensen, Ole F

    Published in Genetics selection evolution (Paris) (02-05-2024)
    “…The theory of "metafounders" proposes a unified framework for relationships across base populations within breeds (e.g. unknown parent groups), and base…”
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  9. 9

    Genomic predictions for crossbred dairy cows by combining solutions from purebred evaluation based on breed origin of alleles by Eiríksson, Jón H., Byskov, Kevin, Su, Guosheng, Thomasen, Jørn Rind, Christensen, Ole F.

    Published in Journal of dairy science (01-06-2022)
    “…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…”
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  10. 10

    Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley by Guo, Xiangyu, Sarup, Pernille, Jahoor, Ahmed, Jensen, Just, Christensen, Ole F

    Published in Genetics selection evolution (Paris) (05-09-2023)
    “…Abstract Background Metabolomics measures an intermediate stage between genotype and phenotype, and may therefore be useful for breeding. Our objectives were…”
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  11. 11

    Genomic evaluation for two-way crossbred performance in cattle by Mei, Quanshun, Liu, Huiming, Zhao, Shuhong, Xiang, Tao, Christensen, Ole F

    Published in Genetics selection evolution (Paris) (17-03-2023)
    “…Dairy cattle production systems are mostly based on purebreds, but recently the use of crossbreeding has received increased interest. For genetic evaluations…”
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  12. 12

    Single-step genomic evaluation with metafounders for feed conversion ratio and average daily gain in Danish Landrace and Yorkshire pigs by Fu, Chuanke, Ostersen, Tage, Christensen, Ole F, Xiang, Tao

    Published in Genetics selection evolution (Paris) (07-10-2021)
    “…Abstract Background The single-step genomic best linear unbiased prediction (SSGBLUP) method is a popular approach for genetic evaluation with high-density…”
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  13. 13

    Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population by Gao, Hongding, Christensen, Ole F, Madsen, Per, Nielsen, Ulrik S, Zhang, Yuan, Lund, Mogens S, Su, Guosheng

    Published in Genetics selection evolution (Paris) (06-07-2012)
    “…BACKGROUND: A single-step blending approach allows genomic prediction using information of genotyped and non-genotyped animals simultaneously. However, the…”
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  14. 14

    Genomic relationships and speciation times of human, chimpanzee, and gorilla inferred from a coalescent hidden Markov model by Hobolth, Asger, Christensen, Ole F, Mailund, Thomas, Schierup, Mikkel H

    Published in PLoS genetics (01-02-2007)
    “…The genealogical relationship of human, chimpanzee, and gorilla varies along the genome. We develop a hidden Markov model (HMM) that incorporates this…”
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  15. 15

    Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows by Eiríksson, Jón H., Strandén, Ismo, Su, Guosheng, Mäntysaari, Esa A., Christensen, Ole F.

    Published in Journal of dairy science (01-12-2022)
    “…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…”
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  16. 16

    Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds by Eiríksson, Jón H, Su, Guosheng, Strandén, Ismo, Christensen, Ole F

    Published in Genetics selection evolution (Paris) (05-07-2023)
    “…The breeding value of a crossbred individual can be expressed as the sum of the contributions from each of the contributing pure breeds. In theory, the…”
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  17. 17

    Breed of origin of alleles and genomic predictions for crossbred dairy cows by Eiríksson, Jón H, Karaman, Emre, Su, Guosheng, Christensen, Ole F

    Published in Genetics selection evolution (Paris) (06-11-2021)
    “…Abstract Background In dairy cattle, genomic selection has been implemented successfully for purebred populations, but, to date, genomic estimated breeding…”
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  18. 18

    Allele coding in genomic evaluation by Strandén, Ismo, Christensen, Ole F

    Published in Genetics selection evolution (Paris) (26-06-2011)
    “…Genomic data are used in animal breeding to assist genetic evaluation. Several models to estimate genomic breeding values have been studied. In general, two…”
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  19. 19

    Prediction of genetic merit for growth rate in pigs using animal models with indirect genetic effects and genomic information by Poulsen, Bjarke G, Ask, Birgitte, Nielsen, Hanne M, Ostersen, Tage, Christensen, Ole F

    Published in Genetics selection evolution (Paris) (07-10-2020)
    “…Several studies have found that the growth rate of a pig is influenced by the genetics of the group members (indirect genetic effects). Accounting for these…”
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  20. 20

    The predictive ability of indirect genetic models is reduced when culled animals are omitted from the data by Ask, Birgitte, Christensen, Ole F, Heidaritabar, Marzieh, Madsen, Per, Nielsen, Hanne M

    Published in Genetics selection evolution (Paris) (10-02-2020)
    “…Physical removal of individuals from groups causes reductions in group sizes and changes in group composition, which may affect the predictive ability of…”
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