P. Madsen

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Screening for outliers in multiple trait genetic evaluation

J. Jensen, P. Madsen, J. Pösö, 2012 .

Partitioning of genomic variance reveals biological pathways associated with udder health and milk production traits in dairy cattle

Stefan M. Edwards, P. Sørensen, B. Thomsen, 2015, Genetics Selection Evolution.

Genetic analysis of days from calving to first insemination and days open in Danish Holsteins using different models and censoring scenarios.

M. Lund, R. Labouriau, P. Madsen, 2009, Journal of dairy science.

Comparison between a sire model and an animal model for genetic evaluation of fertility traits in Danish Holstein population.

M. Lund, P. Madsen, Yingjun Zhang, 2009, Journal of dairy science.

Evaluation of forecast models used for inventory control during a product's life cycle: A simulation study

Per Madsen, Poul Alstrøm, P. Madsen, 1994 .

Prior (co)variances can improve multiple-trait across-country evaluations of weakly linked bull populations.

T. Mark, P. Madsen, W. Fikse, 2005, Journal of dairy science.

Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population

Rongling Li, P. Madsen, Jianbin Li, 2020, Frontiers in Genetics.

Genetic relationship between culling, milk production, fertility, and health traits in Norwegian red cows.

P. Madsen, B. Heringstad, J. Ødegård, 2008, Journal of dairy science.

Detection of mastitis in dairy cattle by use of mixture models for repeated somatic cell scores: a Bayesian approach via Gibbs sampling.

D. Gianola, J. Jensen, P. Madsen, 2003, Journal of dairy science.

Genetic correlations between pathogen-specific mastitis and somatic cell count in Danish Holsteins.

M. Lund, T. Mark, P. Madsen, 2009, Journal of dairy science.

Genetic parameters for test-day electrical conductivity of milk for first-lactation cows from random regression models.

P. Madsen, E. Norberg, G. Rogers, 2004, Journal of dairy science.

Short communication: Genomic prediction using different single-step methods in the Finnish red dairy cattle population.

P. Madsen, T. Pitkänen, I. Strandén, 2018, Journal of dairy science.

Genetic analysis of somatic cell score in Norwegian cattle using random regression test-day models.

J. Jensen, P. Madsen, B. Heringstad, 2003, Journal of dairy science.

Genetic relationship between body condition score, dairy character, mastitis, and diseases other than mastitis in first-parity Danish Holstein cows.

P. Madsen, J. Lassen, M. K. Sørensen, 2003, Journal of dairy science.

Genetic analysis of body condition score in first-parity Danish Holstein cows.

P. Madsen, J. Lassen, M. K. Sørensen, 2003, Journal of dairy science.

Genotype by environment interaction in Nordic dairy cattle studied by use of reaction norms

J. Jensen, P. Madsen, R. Kolmodin, 2000 .

Linkage analysis in longitudinal data using random regression.

M. Lund, P. Sørensen, P. Madsen, 2002 .

Genotype by climate zone interactions for fertility, somatic cell score, and production in Iranian Holsteins.

J. Jensen, P. Madsen, Hongding Gao, 2021, Journal of dairy science.

Genetic parameters for milk production and persistency for Danish Holsteins estimated in random regression models using REML.

J. Jensen, D. Sorensen, P. Madsen, 2002, Journal of dairy science.

Incorporation of observations with different residual error variances into existing complex test-day models

P. Madsen, M. Lidauer, T. Pitkänen, 2018 .

Genetic connections between dressage and show-jumping horses in Dutch Warmblood horses

P. Madsen, J. V. van Arendonk, B. Ducro, 2014 .

Udder health shows inbreeding depression in Danish Holsteins.

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

Estimation of variance components and prediction of breeding values based on group records from varying group sizes

T. Ostersen, J. Jensen, O. F. Christensen, 2018, Genetics Selection Evolution.

Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait

T. Ostersen, J. Jensen, O. F. Christensen, 2020, Heredity.

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

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

Sparse single-step method for genomic evaluation in pigs

Per Madsen, Tage Ostersen, T. Ostersen, 2016, Genetics Selection Evolution.

Breed and Nutritional Effects and Interactions on Energy Intake, Production and Efficiency of Nutrient Utilization in Young Bulls, Heifers and Lactating Cows

J. Jensen, P. Madsen, W. Hohenboken, 1995 .

Changes in body weight and frame and its genetic variation during the productive life of dairy cows

J. Jensen, P. Madsen, I. L. Mao, 2005 .

Heritability estimates of distichiasis in Staffordshire bull terriers using pedigrees and genome-wide SNP data

P. Madsen, F. Lingaas, E. Ropstad, 2022, Acta Veterinaria Scandinavica.

Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens

J. Jensen, P. Madsen, H. Bovenhuis, 2019, Genetics Selection Evolution.

Genetic parameters for pathogen-specific mastitis resistance in Danish Holstein Cattle.

M. Lund, T. Mark, P. Madsen, 2009, Animal : an international journal of animal bioscience.

Genetic analysis of somatic cell score in danish holsteins using a liability-normal mixture model.

P. Madsen, M. Shariati, J. Odegard, 2008, Journal of dairy science.

A Bayesian threshold-normal mixture model for analysis of a continuous mastitis-related trait.

D Gianola, P Madsen, D. Gianola, 2005, Journal of dairy science.

Accounting for genetic architecture for body weight improves accuracy of predicting breeding values in a commercial line of broilers

J. Jensen, P. Madsen, H. Romé, 2021, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

The effect of selection and sex on genetic parameters of body weight at different ages in a commercial broiler chicken population

J. Jensen, P. Madsen, M. Shirali, 2017 .

Proceedings, 10 World Congress of Genetics Applied to Livestock Production DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics

Ole F. Christensen, Per Madsen, Victor Milkevych, 2014 .

Relationships between mastitis and functional longevity in Danish Black and White dairy cattle estimated using survival analysis.

V. Ducrocq, P. Madsen, I. Korsgaard, 2000, Journal of dairy science.

Genetic analysis on body weight at different ages in broiler chicken raised in commercial environment.

J. Jensen, P. Madsen, J. Henshall, 2020, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Genetic Resistance to Bovine Mastitis

P. Madsen, 1989 .

Single-step methods for genomic evaluation in pigs.

P Madsen, T. Ostersen, O. F. Christensen, 2012, Animal : an international journal of animal bioscience.

588. Estimating environmental direct-maternal covariance in real data – illustration on broilers

P. Madsen, J. Jensen, H. Romé, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Residual maximum likelihood estimation of (co)variance components in multivariate mixed linear models using average information

Per Madsen, Esa Mäntysaari, Robin Thompson, 1997 .

An approximate multitrait model for genetic evaluation in dairy cattle with a robust estimation of genetic trends.

V. Ducrocq, P. Madsen, J. Lassen, 2007 .

An approximate multitrait model for genetic evaluation in dairy cattle with a robust estimation of genetic trends (Open Access publication)

V. Ducrocq, P. Madsen, J. Lassen, 2007, Genetics Selection Evolution.

Genetic association between leg conformation in young pigs and sow longevity.

P. Madsen, N. Lundeheim, E. Norberg, 2016, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Genetic correlation between leg conformation in young pigs, sow reproduction and longevity in Danish pig populations

P. Madsen, N. Lundeheim, E. Norberg, 2015 .

Multivariate survival mixed models for genetic analysis of longevity traits

Per Madsen, Rafael Pimentel Maia, Rodrigo Labouriau, 2013, 1303.0810.

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

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

Partitioning additive genetic variance into genomic and remaining polygenic components for complex traits in dairy cattle

J. Jensen, P. Madsen, G. Su, 2012, BMC Genetics.

Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population

Guosheng Su, Yuan Zhang, Per Madsen, 2012, Genetics Selection Evolution.

Selection for increased number of piglets at d 5 after farrowing has increased litter size and reduced piglet mortality.

M. Lund, P. Madsen, G. Su, 2013, Journal of animal science.

Deregressed EBV as the response variable yield more reliable genomic predictions than traditional EBV in pure-bred pigs

Guosheng Su, Per Madsen, Bjarne Nielsen, 2011, Genetics Selection Evolution.

Genotype by Environment Interaction in Nordic Dairy Cattle Studied Using Reaction Norms

J. Jensen, P. Madsen, R. Kolmodin, 2002 .

Estimation of (co)variances for genomic regions of flexible sizes: application to complex infectious udder diseases in dairy cattle

M. Lund, T. Mark, P. Madsen, 2012, Genetics Selection Evolution.

The predictive ability of indirect genetic models is reduced when culled animals are omitted from the data

O. F. Christensen, P. Madsen, B. Ask, 2020, Genetics, selection, evolution : GSE.

Social genetic effects for growth in pigs differ between boars and gilts

P. Madsen, B. Ask, H. Nielsen, 2018, Genetics Selection Evolution.

Multivariate Bayesian analysis of Gaussian, right censored Gaussian, ordered categorical and binary traits using Gibbs sampling

M. Lund, D. Gianola, J. Jensen, 2003, Genetics Selection Evolution.

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

T. Ostersen, J. Jensen, O. F. Christensen, 2021, Genetics Selection Evolution.

Social genetic effects for growth in pigs differ between boars and gilts

P. Madsen, B. Ask, H. Nielsen, 2018, Genetics Selection Evolution.

Short communication: Difficulties in estimating across-country genetic correlations for weakly linked bull populations.

T. Mark, P. Madsen, W. Fikse, 2005, Journal of dairy science.

A simple algorithm to estimate genetic variance in an animal threshold model using Bayesian inference

P. Madsen, T. Meuwissen, B. Heringstad, 2010, Genetics Selection Evolution.

Effect of Carcass Pricing Systems on Optimum Slaughter Weight, Energy Level in Feed and Choice of Sirebreed in Beef × Dairy Breed Young Bull Production

N. T. Madsen, P. Madsen, B. B. Andersen, 1992 .

Phenotypic and genetic relationships between residual energy intake and growth, feed intake, and carcass traits of young bulls.

J. Jensen, P. Madsen, I. L. Mao, 1992, Journal of animal science.

Genetic parameters of postnatal mortality in Danish Holstein calves.

J. Jensen, P. Madsen, L. G. Christensen, 2003, Journal of dairy science.

Comparison of variance components for test-day electrical conductivity of milk and test-day somatic cell score for first lactation cows in an experimental herd

P. Madsen, J. Ødegård, E. Norberg, 2004 .

Short communication: genetic correlation between test-day electrical conductivity of milk and mastitis.

P. Madsen, J. Ødegård, E. Norberg, 2006, Journal of dairy science.

Genetic Correlation between Test-Day Electrical Conductivity of Milk and Clinical Mastitis

P. Madsen, E. Norberg, G. Rogers, 2004 .

Variance components and correlations of female fertility traits in Chinese Holstein population

M. Lund, P. Madsen, G. Su, 2017, Journal of Animal Science and Biotechnology.

Genetic determination of mortality rate in Danish dairy cows: A multivariate competing risk analysis based on the number of survived lactations.

R. Labouriau, P. Madsen, B. Ask, 2014, Journal of dairy science.

Improvement in genetic evaluation of female fertility in dairy cattle using multiple-trait models including milk production traits.

M. Lund, P. Madsen, G. Su, 2010, Journal of animal science.

Genetic improvement of livestock for organic farming systems

J. Jensen, P. Madsen, D. Boelling, 2003 .

Genetic parameters of growth, feed intake, feed conversion and carcass composition of dual-purpose bulls in performance testing.

J. Jensen, P. Madsen, I. L. Mao, 1991, Journal of Animal Science.

Genetic Parameters for Average Daily Gain, Area of M. Longissimus Dorsi, Feed Efficiency and Feed Intake Capacity in Young Bulls of Dairy Populations

J. Jensen, P. Madsen, J. Jakobsen, 2000 .

Genetic Parameters of Beef Production Traits and Disease Incidence of Growing Bulls

J. Jensen, R. Wassmuth, P. Madsen, 2000 .

Sire × Nutrition Interactions and Genetic Parameters for Energy Intake, Production and Efficiency of Nutrient Utilization in Young Bulls, Heifers and Lactating Cows

J. Jensen, P. Madsen, W. Hohenboken, 1995 .

Genetic variation in functional longevity and its relation to mastitis resistance in Danish Holsteins

V. Ducrocq, P. Madsen, I. Korsgaard, 1999 .

Genomic Prediction of Manganese Efficiency in Winter Barley

J. Jensen, P. Madsen, F. Leplat, 2016, The plant genome.

Bayesian estimates of covariance components between lactation curve parameters and disease liability in Danish Holstein cows.

D. Gianola, J. Jensen, D. Sorensen, 2003, Journal of dairy science.

Genetic and phenotypic parameters of lifetime and stayability traits in danish dairy breeds

J. Jensen, P. Madsen, P. Bijma, 1998 .

Changes in ultrasound measures of muscle and its genetic variation during lactation in dairy cows

J. Jensen, P. Madsen, I. L. Mao, 2004 .

A stochastic simulation study on using different models for prediction of breeding values while changing the breeding goal.

V. Ducrocq, P. Madsen, J. Lassen, 2007, Animal : an international journal of animal bioscience.

Across-country test-day model evaluations for Holstein, Nordic Red Cattle, and Jersey.

P. Madsen, J. Pösö, M. Lidauer, 2015, Journal of dairy science.

GENETICS AND BREEDING Relationships Between Mastitis and Functional Longevity in Danish Black and White Dairy Cattle Estimated Using Survival Analysis

V. Ducrocq, P. Madsen, I. Korsgaard, 2000 .

Survival, growth and sexual maturation in Atlantic salmon exposed to infectious pancreatic necrosis: a multi-variate mixture model approach

P. Madsen, M. Lillehammer, J. Ødegård, 2013, Genetics Selection Evolution.

Quantitative genetics of taura syndrome resistance in pacific white shrimp (penaeus vannamei): a cure model approach

P. Madsen, T. Meuwissen, J. Ødegård, 2011, Genetics Selection Evolution.

Survival, growth and sexual maturation in Atlantic salmon exposed to infectious pancreatic necrosis: a multi-variate mixture model approach

P. Madsen, M. Lillehammer, J. Ødegård, 2013, Genetics Selection Evolution.

Mixture model for inferring susceptibility to mastitis in dairy cattle: a procedure for likelihood-based inference

Daniel Gianola, Daniel Sorensen, Per Madsen, 2004, Genetics Selection Evolution.

Bayesian analysis of the linear reaction norm model with unknown covariates.

M. Lund, P. Madsen, G. Su, 2006, Journal of animal science.

Analysis of milk production traits in early lactation using a reaction norm model with unknown covariates.

P. Madsen, G. Su, M. Shariati, 2007, Journal of dairy science.

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

A. Strathe, T. Ostersen, O. F. Christensen, 2019, Genetics Selection Evolution.

Short communication: Is crossbreeding only beneficial in herds with low management level?

P. Madsen, M. Kargo, E. Norberg, 2012, Journal of dairy science.

Genetic parameter estimation for milk yield over multiple parities and various lengths of lactation in Danish Jerseys by random regression models.

M. Lund, P. Madsen, I. Korsgaard, 2002, Journal of dairy science.

Genetic Parameters of Foot and Leg Traits in Future AI Bulls: I. Influence of Age at Recording and Classifier

J. Jensen, P. Madsen, D. Boelling, 2001 .

Changes in body condition score and in its genetic variation during lactation

Per Madsen, Just Jensen, J. Jensen, 2004 .

Short communication: Heterosis by environment and genotype by environment interactions for protein yield in Danish Jerseys.

P. Madsen, M. Kargo, J. Pryce, 2014, Journal of dairy science.

Models with indirect genetic effects depending on group sizes: a simulation study assessing the precision of the estimates of the dilution parameter

O. F. Christensen, P. Madsen, L. Janss, 2019, Genetics Selection Evolution.

The Dynamics of Cross-Border Regional Innovation Systems. A Study on the Effects of the Border Control on the Øresund Region

P. Madsen, 2017 .

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

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

Estimation of variance components in populations under genomic selection

P. Madsen, J. Jensen, G. P. Aamand, 2018 .

Meta-analysis of GWAS of bovine stature with >50,000 animals imputed to whole-genome sequence

P. Ma, R. Veerkamp, B. Guldbrandtsen, 2015 .

Comparison of different orders of Legendre polynomials in random regression model for estimation of genetic parameters and breeding values of milk yield in the Chinese Holstein population

P. Madsen, Jianbin Li, G. Su, 2019, bioRxiv.

Genomic prediction for Nordic Red Cattle using one-step and selection index blending.

M. Lund, O. F. Christensen, P. Madsen, 2012, Journal of dairy science.

Genomic evaluation of both purebred and crossbred performances

Guosheng Su, Per Madsen, Bjarne Nielsen, 2014, Genetics Selection Evolution.

Genetic correlations between dressage, show jumping and studbook‐entry inspection traits in a process of specialization in Dutch Warmblood horses

P. Madsen, J. V. van Arendonk, B. Ducro, 2017, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Modelling repeated competition records in genetic evaluations of Danish sport horses.

T. Mark, P. Madsen, L. Jönsson, 2016, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Analysis of competition performance in dressage and show jumping of Dutch Warmblood horses.

P. Madsen, J. V. van Arendonk, B. Ducro, 2016, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Effect of specialization on genetic parameters of studbook-entry inspection in Dutch Warmblood horses.

P. Madsen, J. V. van Arendonk, B. Ducro, 2015, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

A stochastic simulation study on validation of an approximate multitrait model using preadjusted data for prediction of breeding values.

V. Ducrocq, P. Madsen, J. Lassen, 2007, Journal of dairy science.

Including different groups of genotyped females for genomic prediction in a Nordic Jersey population.

P. Madsen, G. Su, U. S. Nielsen, 2015, Journal of dairy science.

Estimation of variance components for Nordic red cattle test-day model: Bayesian gibbs sampler vs. Monte Carlo EM REML

Robin Thompson, P. Madsen, J. Pösö, 2009 .

Sparse single-step method for genomic evaluation in pigs

T. Ostersen, O. F. Christensen, P. Madsen, 2016, Genetics Selection Evolution.

Heritability of distichiasis in Havanese dogs in Norway

P. Madsen, F. Lingaas, Kim K. L. Bellamy, 2021, Canine medicine and genetics.

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

T. Ostersen, J. Jensen, O. F. Christensen, 2021, Genetics, selection, evolution : GSE.

Reaction norm model with unknown environmental covariate to analyze heterosis by environment interaction.

M. Lund, P. Madsen, G. Su, 2009, Journal of dairy science.

Variance components and correlations of female fertility traits in Chinese Holstein population

M. Lund, P. Madsen, G. Su, 2017, Journal of Animal Science and Biotechnology.

Detection and modelling of time-dependent QTL in animal populations

M. Lund, P. Sørensen, P. Madsen, 2008, Genetics Selection Evolution.

MACE for Ayrshire conformation: Impact of different uses of prior genetic correlations

J. Jensen, T. Mark, F. Fikse, 2003 .

Estimation of across country genetic parameters for MACE based on DYD's or deregressed proofs

T. Mark, P. Madsen, 2002 .

Bayesian MACE for Ayrshire conformation traits

T. Mark, P. Madsen, 2002 .

Validation and comparison of methods to estimate (co)variance components for MACE

T. Mark, P. Madsen, M. K. Sørensen, 2001 .

Reduced rank estimation of (co)-variance components for international evaluation using AI-REML

J. Jensen, T. Mark, P. Madsen, 2000 .

Robust models for approximate multitrait evaluations

V. Ducrocq, P. Madsen, J. Lassen, 2006 .

Bayesian estimation of within and across country genetic parameters for MACE

J. Jensen, P. Madsen, 2002 .

Estimation of genetic parameters and heterosis for longevity in crossbred Danish dairy cattle.

P. Madsen, J. Clasen, M. Kargo, 2017, Journal of dairy science.

Multi-trait estimation of genetic parameters for body weight in a commercial broiler chicken population

J. Jensen, P. Madsen, R. Hawken, 2018, Livestock Science.

Analysis of test day somatic cell score using a liability-normal mixture model

P. Madsen, J. Ødegård, 2006 .

Mixture models in animal breeding.

P. Madsen, G. Klemetsdal, J. Ødegård, 2006 .

Tracking signals in inventory control systems A simulation study

Poul Alstrøm, Per Madsen, P. Madsen, 1996 .

Prevalence and genetic variability of osteochondrosis in Danish Warmblood horses

M. Lund, P. Madsen, Maiken Holm, 2018 .

Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices

J. Jensen, P. Madsen, J. Henshall, 2020, Genetics Selection Evolution.

Genetic Parameters of Foot and Leg Traits in Future AI Bulls: II. Correlation to Body Conformation Traits in Daughters

J. Jensen, P. Madsen, D. Boelling, 2001 .

Joint Nordic test day model: Experiences with the new model

P. Madsen, J. Pösö, M. Lidauer, 2006 .

Joint Nordic Test Day Model: Variance Components

P. Madsen, J. Pösö, J. Pedersen, 2006 .

Joint Nordic test day model: Evaluation model

P. Madsen, J. Pösö, J. Pedersen, 2006 .

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

Per Madsen, Gert Pedersen Aamand, Hongding Gao, 2019, BMC Genomics.

Genetic parameters for and Blad effects on beef production traits and disease frequency

P. Madsen, J. Jørgensen, 1997 .