J. Lassen

发表

Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range

P. B. Pope, I. Mizrahi, J. Šimůnek, 2015, Scientific Reports.

Erratum: Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range

Min Wang, Bo Lin, Chris McSweeney, 2016, Scientific Reports.

Is rumination time an indicator of methane production in dairy cows?

J. Lassen, P. Løvendahl, E. Norberg, 2018, Journal of dairy science.

Breeding for reduced methane emission and feed-efficient Holstein cows: An international response.

F. Schenkel, F. Miglior, P. Stothard, 2021, Journal of dairy science.

Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows

B. Guldbrandtsen, M. Lund, G. Sahana, 2020, The ISME Journal.

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.

Danish University Colleges Approaching Inclusion as Social Practice: Processes of Inclusion and Exclusion Molbæk,

J. Lassen, M. Schmidt, Mette Hansen, 2018 .

Impact of the rumen microbiome on milk fatty acid composition of Holstein cattle

D. Plichta, B. Buitenhuis, P. Sørensen, 2019, Genetics, selection, evolution : GSE.

Avoiding double counting when deriving economic values through stochastic dairy herd simulation

M. Kargo, J. Lassen, J. Ettema, 2016 .

Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.

F. Schenkel, D. Tulpan, F. Miglior, 2022, Journal of dairy science.

Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.

F. Schenkel, D. Tulpan, F. Miglior, 2022, Journal of dairy science.

Genomic prediction for dry matter intake in Nordic Holsteins

M. Lund, G. Su, J. Lassen, 2018 .

Genetic heterogeneity of feed intake, energy-corrected milk, and body weight across lactation in primiparous Holstein, Nordic Red, and Jersey cows.

M. Lidauer, J. Lassen, W. Fikse, 2018, Journal of dairy science.

Genetic parameters for dry matter intake in primiparous Holstein, Nordic Red, and Jersey cows in the first half of lactation.

M. Lidauer, J. Lassen, W. Fikse, 2016, Journal of dairy science.

Genetic parameters for female fertility and milk production traits in first-parity Czech Holstein cows

J. Lassen, M. Štípková, V. Zink, 2018 .

Review: Selecting for improved feed efficiency and reduced methane emissions in dairy cattle.

M. Lidauer, P. Huhtanen, J. Lassen, 2018, Animal : an international journal of animal bioscience.

Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins

N. Poulsen, M. Larsen, J. Lassen, 2016 .

Genetic parameters for female fertility, locomotion, body condition score, and linear type traits in Czech Holstein cattle.

J. Lassen, M. Štípková, V. Zink, 2011, Journal of dairy science.

Economic value of residual feed intake in dairy cattle breeding goals

M. Kargo, J. Lassen, J. Ettema, 2021, Livestock Science.

Combining heterogeneous across-country data for prediction of enteric methane from proxies in dairy cattle

B. Kuhla, T. Yan, P. Garnsworthy, 2018 .

Residual feed intake and breeding approaches for enteric methane mitigation

D. Berry, J. Lassen, Y. D. Haas, 2015 .

Supervised learning techniques for dairy cattle body weight prediction from 3D digital images

G. Sahana, J. Lassen, G. Gebreyesus, 2023, Frontiers in Genetics.

Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows

Henrik Bjørn Nielsen, Peter Løvendahl, Zhigang Zhu, 2018, PLoS genetics.

Selecting for Feed Efficient Cows Will Help to Reduce Methane Gas Emissions

J. Lassen, P. Løvendahl, G. Difford, 2022, Frontiers in Genetics.

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.

Comparison of a laser methane detector with the GreenFeed and two breath analysers for on-farm measurements of methane emissions from dairy cows

Hermann Swalve, Gareth F. Difford, Tomasz Strabel, 2018, Comput. Electron. Agric..

Analyses of genetic relationships between linear type traits, fat-to-protein ratio, milk production traits, and somatic cell count in first-parity Czech Holstein cows.

J. Lassen, L. Zavadilová, M. Štípková, 2018 .

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.

Quantitative trait loci for milk production and functional traits in two Danish Cattle breeds.

B. Guldbrandtsen, J. Lassen, J. Rychtářová, 2010, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Stability Assessment of the Rumen Bacterial and Archaeal Communities in Dairy Cows Within a Single Lactation and Its Association With Host Phenotype

J. Lassen, O. Højberg, P. Løvendahl, 2021, Frontiers in Microbiology.

Animal board invited review: genetic possibilities to reduce enteric methane emissions from ruminants

V. H. Oddy, J. McEwan, B. Hayes, 2015, Animal : an international journal of animal bioscience.

Methane production, rumen fermentation, and diet digestibility of Holstein and Jersey dairy cows being divergent in residual feed intake and fed at 2 forage-to-concentrate ratios.

M. Weisbjerg, J. Lassen, P. Lund, 2018, Journal of dairy science.

Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows

B. Guldbrandtsen, M. Lund, G. Sahana, 2020, The ISME Journal.

Heritability estimates for enteric methane emissions from Holstein cattle measured using noninvasive methods.

J. Lassen, P. Løvendahl, 2016, Journal of dairy science.

Accuracy of noninvasive breath methane measurements using Fourier transform infrared methods on individual cows.

J. Lassen, P. Løvendahl, J. Madsen, 2012, Journal of dairy science.

Comparison of Methods to Measure Methane for Use in Genetic Evaluation of Dairy Cattle

B. Kuhla, T. Yan, P. Garnsworthy, 2019, Animals : an open access journal from MDPI.

Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle.

M. Kreuzer, B. Kuhla, T. Yan, 2022, Journal of dairy science.

Ranking cows’ methane emissions under commercial conditions with sniffers versus respiration chambers

J. Lassen, P. Lund, D. W. Olijhoek, 2018 .

Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying.

E. Wall, H. Soyeurt, M. Pszczoła, 2017, Journal of dairy science.

Interchangeability between methane measurements in dairy cows assessed by comparing precision and agreement of two non-invasive infrared methods

J. Lassen, P. Løvendahl, G. F. Difford, 2016, Comput. Electron. Agric..

Review: Genetic and genomic selection as a methane mitigation strategy in dairy cattle.

J. Lassen, G. Difford, 2020, Animal : an international journal of animal bioscience.

Enteric methane emission from Jersey cows during the spring transition from indoor feeding to grazing.

T. Kristensen, M. Pszczoła, J. Lassen, 2019, Journal of dairy science.

Methane emission in Jersey cows during spring transition from in-door feeding to grazing is repeatable and highly correlated

T. Kristensen, J. Lassen, P. Løvendahl, 2018 .

Information that DSS builders can find in the Eucablight database

G.J.T. Kessel, L. T. Colon, David E. L. Cooke, 2006 .

Can greenhouse gases in breath be used to genetically improve feed efficiency of dairy cows?

R. Veerkamp, H. Bovenhuis, J. Lassen, 2020, Journal of dairy science.

Genetic correlations between methane production and fertility, health, and body type traits in Danish Holstein cows.

M. Kargo, J. Lassen, E. Norberg, 2018, Journal of dairy science.

Changes in rumen bacterial and archaeal communities over the transition period in primiparous Holstein dairy cows.

S. Sørensen, M. Poulsen, J. Lassen, 2018, Journal of dairy science.

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.

Genome-wide association study for methane emission traits in Danish Holstein cattle.

G. Sahana, J. Lassen, P. Løvendahl, 2021, Journal of dairy science.

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

Community structure of the metabolically active rumen bacterial and archaeal communities of dairy cows over the transition period

S. Sørensen, W. Al-Soud, A. Brejnrod, 2017, PloS one.

Direct multitrait selection realizes the highest genetic response for ratio traits.

M. Kargo, M. Henryon, J. Lassen, 2017, Journal of animal science.

Short communication: Genetic variation in choice consistency for cows accessing automatic milking units.

J. Lassen, M. Bjerring, P. Løvendahl, 2016, Journal of dairy science.

Low evolutionary potential for egg‐to‐adult viability in Drosophila melanogaster at high temperatures

A. Hoffmann, T. Kristensen, C. Sgrò, 2015, Evolution; international journal of organic evolution.

Genetic (co-)variation of methane emissions, efficiency, and production traits in Danish Holstein cattle along and across lactations.

J. Lassen, P. Løvendahl, G. Difford, 2022, Journal of dairy science.

Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle.

M. Lidauer, J. Lassen, W. Fikse, 2017, Journal of dairy science.

Multitrait genomic prediction of methane emissions in Danish Holstein cattle.

J. Lassen, P. Løvendahl, G. Difford, 2020, Journal of dairy science.

73. Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries

R. Veerkamp, F. Schenkel, V. Ducrocq, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Effects of Incorporating Dry Matter Intake and Residual Feed Intake into a Selection Index for Dairy Cattle Using Deterministic Modeling

F. Schenkel, F. Miglior, C. Baes, 2021, Animals : an open access journal from MDPI.

Predictive ability of host genetics and rumen microbiome for subclinical ketosis.

D. Plichta, B. Buitenhuis, N. Poulsen, 2020, Journal of dairy science.

Short communication: genotype by housing interaction for conformation and workability traits in Danish Holsteins.

T. Mark, J. Lassen, 2008, Journal of dairy science.

Individual measure of feed intake on in-house commercial dairy cattle using 3D camera system

E. Olsen, J. Lassen, J. Thomasen, 2018 .

697. Genetic parameters for residual feed efficiency in three dairy cattle breeds in commercial farms using 3D cameras

J. Lassen, C. Manzanilla-Pech, T. Andersen, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

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

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

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.

Improved ruminant genetics: Implementation guidance for policymakers and investors

A. Reisinger, J. Lassen, G. Difford, 2016 .

METHAGENE - Towards large-scale methane measurements on individual ruminants for genetic evaluations

J. Lassen, Y. D. Haas, 2015 .

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.

Robust models for approximate multitrait evaluations

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

Impact of the rumen microbiome on milk fatty acid composition of Holstein cattle

D. Plichta, B. Buitenhuis, P. Sørensen, 2019, Genetics, selection, evolution : GSE.

Individual cow identification in a commercial herd using 3D camera technology

J. Lassen, J. Thomasen, S. Borchersen, 2018 .

Genes and microbes, the next step in dairy cattle breeding

J. Lassen, P. Løvendahl, G. Difford, 2016 .

Individual measure of feed intake on in-house commercial dairy cattle using 3D camera technology

E. Olsen, J. Lassen, J. Thomasen, 2018 .

Microbiability– new insights into (genetic) modelling methane emissions of cattle

B. Guldbrandtsen, G. Sahana, J. Lassen, 2018 .

Predicting methane emissions of lactating Danish Holstein cows using Fourier transform mid-infrared spectroscopy of milk.

J. Lassen, N. Shetty, A. Buitenhuis, 2017, Journal of dairy science.