A. C. Sørensen

发表

Precision of methods for calculating identity-by-descent matrices using multiple markers

Ricardo Pong-Wong, John A Woolliams, Anders Christian Sørensen, 2002, Genetics Selection Evolution.

Understanding the potential bias of variance components estimators when using genomic models

P. Sørensen, A. C. Sørensen, B. C. D. Cuyabano, 2018, Genetics Selection Evolution.

Marker-assisted selection reduces expected inbreeding but can result in large effects of hitchhiking.

A. C. Sørensen, P. Berg, L. D. Pedersen, 2009, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Investigating inbreeding depression for heat stress tolerance in the model organism Drosophila melanogaster

A. C. Sørensen, T. Kristensen, L. D. Pedersen, 2012 .

Reproductive technologies combine well with genomic selection in dairy breeding programs.

A. C. Sørensen, C. Egger-Danner, A. Willam, 2016, Journal of dairy science.

Evaluating potential bias of REML estimators of heritability

P. Sørensen, A. C. Sørensen, B. C. D. Cuyabano, 2018 .

A crossbred reference population can improve the response to genomic selection for crossbred performance

A. C. Sørensen, P. Bijma, H. Esfandyari, 2015, Genetics Selection Evolution.

Mating animals by minimising the covariance between ancestral contributions generates less inbreeding without compromising genetic gain in breeding schemes with truncation selection.

A. C. Sørensen, M. Henryon, P. Berg, 2009, Animal : an international journal of animal bioscience.

Udder health shows inbreeding depression in Danish Holsteins.

P. Madsen, A. C. Sørensen, P. Berg, 2006, Journal of dairy science.

Optimum contribution selection conserves genetic diversity better than random selection in small populations with overlapping generations

A. C. Sørensen, P. Berg, K. Stachowicz, 2004 .

Comparison of selective genotyping strategies in genomic selection programs for broilers using stochastic simulation

J. Jensen, P. Madsen, R. Hawken, 2022, bioRxiv.

Adding cows to the reference population makes a small dairy population competitive.

B. Guldbrandtsen, A. C. Sørensen, J. Thomasen, 2014, Journal of dairy science.

Most of the long-term genetic gain from optimum-contribution selection can be realised with restrictions imposed during optimisation

T. Ostersen, A. C. Sørensen, M. Henryon, 2015, Genetics Selection Evolution.

Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment Interactions

M. Lund, A. C. Sørensen, G. Su, 2020, Frontiers in Genetics.

Efficient selection against categorically scored hip dysplasia in dogs is possible using best linear unbiased prediction and optimum contribution selection: a simulation study.

A. C. Sørensen, E. Strandberg, W. Fikse, 2013, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Genomic selection strategies to optimize the use of multiple ovulation and embryo transfer schemes in dairy cattle breeding programs

A. C. Sørensen, J. Juga, A. Bouquet, 2015 .

Most of the benefits from genomic selection can be realized by genotyping a small proportion of available selection candidates.

T. Ostersen, A. C. Sørensen, M. Henryon, 2012, Journal of animal science.

Genomic selection strategies in dairy cattle: Strong positive interaction between use of genotypic information and intensive use of young bulls on genetic gain.

A. C. Sørensen, P. Berg, M. K. Sørensen, 2012, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Is there room for selection for meat quality in local breeds? A simulation study

A. C. Sørensen, L. Rydhmer, J. Gourdine, 2009 .

Optimum-contribution selection using pedigree relationships to control inbreeding realises more genetic gain than genomic relationships at the same rate of true inbreeding

A. C. Sørensen, G. Su, M. Henryon, 2018 .

Herd characteristics influence farmers’ preferences for trait improvements in Danish Red and Danish Jersey cows

A. C. Sørensen, M. Kargo, M. Slagboom, 2016 .

Possibilities for a specific breeding program for organic dairy production.

A. C. Sørensen, M. Kargo, H. Mulder, 2020, Journal of dairy science.

Organic dairy farmers put more emphasis on production traits than conventional farmers.

A. C. Sørensen, M. Kargo, M. Slagboom, 2016, Journal of dairy science.

Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken

J. Jensen, R. Hawken, J. Henshall, 2018, Genetics Selection Evolution.

Genetic gain in dairy cattle populations is increased using sexed semen in commercial herds.

A. C. Sørensen, P. Berg, M. K. Sørensen, 2011, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

There is room for selection in a small local pig breed when using optimum contribution selection: a simulation study.

A. C. Sørensen, L. Rydhmer, J. Gourdine, 2012, Journal of animal science.

The admixed population structure in Danish Jersey dairy cattle challenges accurate genomic predictions.

B. Guldbrandtsen, M. Lund, P. Madsen, 2013, Journal of animal science.

The value of cows in reference populations for genomic selection of new functional traits.

A. C. Sørensen, M. Kargo, P. Berg, 2012, Animal : an international journal of animal bioscience.

ADAM-Plant: A Software for Stochastic Simulations of Plant Breeding From Molecular to Phenotypic Level and From Simple Selection to Complex Speed Breeding Programs

Anders Christian Sørensen, Huiming Liu, Biructawit Bekele Tessema, 2019, Front. Plant Sci..

785. Breeding for component traits of litter size at day 5 increases piglet survival while maintaining litter size at day 5

T. Ostersen, A. C. Sørensen, G. Su, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

The Effect of Using Organic or Conventional Sires on Genetic Gain in Organic Pigs: A Simulation Study

A. C. Sørensen, H. Nielsen, T. T. Chu, 2022, Animals : an open access journal from MDPI.

ADAM: A computer program to simulate selective-breeding schemes for animals

A. C. Sørensen, M. Henryon, P. Berg, 2009 .

Genomic prediction of crossbred performance based on purebred Landrace and Yorkshire data using a dominance model

O. F. Christensen, A. C. Sørensen, M. Henryon, 2016, Genetics Selection Evolution.

Genomic selection strategies in dairy cattle breeding programmes: Sexed semen cannot replace multiple ovulation and embryo transfer as superior reproductive technology.

A. C. Sørensen, M. Kargo, P. Berg, 2012, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Breeding Pigs For Resistance To Disease Is Difficult Even With Genomic Selection

A. C. Sørensen, P. Berg, B. Nielsen, 2010 .

Inbreeding trend and inbreeding depression in the Danish populations of Texel, Shropshire, and Oxford Down.

A. C. Sørensen, E. Norberg, A. Sørensen, 2007, Journal of animal science.

Breeding schemes with optimum-contribution selection or truncation selection for beef cattle destined for use on dairy females.

A. C. Sørensen, M. Kargo, L. Hjortø, 2022, Journal of dairy science.

Inbreeding – lessons from animal breeding, evolutionary biology and conservation genetics

A. C. Sørensen, T. Kristensen, A. Sørensen, 2005 .

Allele frequency changes due to hitch-hiking in genomic selection programs

A. C. Sørensen, T. Meuwissen, P. Berg, 2014, Genetics Selection Evolution.

Upweighting rare favourable alleles increases long-term genetic gain in genomic selection programs

A. C. Sørensen, T. Meuwissen, P. Berg, 2015, Genetics Selection Evolution.

Allele frequency changes due to hitch-hiking in genomic selection programs

A. C. Sørensen, T. Meuwissen, P. Berg, 2014, Genetics Selection Evolution.

Inbreeding in Danish dairy cattle breeds.

A. C. Sørensen, P. Berg, M. K. Sørensen, 2005, Journal of dairy science.

Response to Selection in Finite Locus Models with Nonadditive Effects

A. C. Sørensen, M. Henryon, P. Berg, 2017, The Journal of heredity.

Economic opportunities for using sexed semen and semen of beef bulls in dairy herds.

A. C. Sørensen, M. Kargo, J. Ettema, 2017, Journal of dairy science.

Genomic testing interacts with reproductive surplus in reducing genetic lag and increasing economic net return.

A. C. Sørensen, M. Kargo, J. Ettema, 2015, Journal of dairy science.

Genotyping more cows increases genetic gain and reduces rate of true inbreeding in a dairy cattle breeding scheme using female reproductive technologies.

A. C. Sørensen, J. Thomasen, H. Liu, 2019, Journal of dairy science.

Mating strategies with genomic information reduce rates of inbreeding in animal breeding schemes without compromising genetic gain

A. C. Sørensen, M. Henryon, H. Liu, 2016, Animal : an international journal of animal bioscience.

Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains☆

Anders Christian Sørensen, Mark Henryon, Peer Berg, 2014 .

445. Simulation of animal crossbreeding schemes using ADAM software

A. C. Sørensen, M. Kargo, P. Berg, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Short- and long-term consequences of collaboration between Northern European Red dairy and dual-purpose cattle.

G. Thaller, A. C. Sørensen, M. Kargo, 2022, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Pre-selection against a lethal recessive allele in breeding schemes with optimum-contribution selection or truncation selection

A. C. Sørensen, M. Henryon, P. Berg, 2021, Genetics, selection, evolution : GSE.

Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs

A. C. Sørensen, M. Kargo, M. Henryon, 2020, Frontiers in Genetics.

A. C. Sørensen, P. Berg, J. Lassen, 2011, Journal of dairy science.

Genomic selection strategies in a small dairy cattle population evaluated for genetic gain and profit.

B. Guldbrandtsen, A. C. Sørensen, C. Egger-Danner, 2014, Journal of dairy science.

Simulating consequences of choosing a breeding goal for organic dairy production.

A. C. Sørensen, M. Kargo, L. Rydhmer, 2018, Journal of Dairy Science.

Bias in estimates of variance components in populations undergoing genomic selection: a simulation study

J. Jensen, P. Madsen, A. C. Sørensen, 2019, BMC Genomics.

Genomic selection using indicator traits to reduce the environmental impact of milk production.

A. C. Sørensen, M. Kargo, L. Rydhmer, 2013, Journal of dairy science.

Factors affecting the exchange of genetic material between Nordic and US Holstein populations.

A. C. Sørensen, P. Berg, J. Lassen, 2009, Journal of dairy science.

Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat

J. Jensen, A. C. Sørensen, J. R. Andersen, 2020, Frontiers in Genetics.

A crossbred reference population can improve the response to genomic selection for crossbred performance

A. C. Sørensen, P. Bijma, H. Esfandyari, 2015, Genetics Selection Evolution.

Balanced selection on purebred and crossbred performance increases gain in crossbreds

A. C. Sørensen, P. Berg, H. Esfandyari, 2018, Genetics Selection Evolution.

Maximizing crossbred performance through purebred genomic selection

A. C. Sørensen, P. Bijma, H. Esfandyari, 2014, Genetics Selection Evolution.