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Scientific Papers
2022
P. Martin, A. Vinet, L. Allart, F. Launay, D. Dozias, D. Maupetit, G. Renand. (2022).
Influence of feed restriction and subsequent recovery on lactating Charolais cows
. Livestock Science, Volume 264.
Quiédeville, S., Grovermann, C., Leiber, F., Cozzi, G., Lora, I., Eory, V., & Moakes, S. (2022).
Influence of climate stress on technical efficiency and economic downside risk exposure of EU dairy farms.
The Journal of Agricultural Science, 1-13.
A. De La Torre, L. Barreto-Mendes, J.A.A. Pires, I. Cassar-Malek, I. Ortigues-Marty, and F. Blanc., (2022),
Exploration of robustness indicators using adaptive responses to short-term feed restriction in suckling primiparous beef cows
, Animal, Vol. 16, Issue 7
Erbe, Malena, Edel, Christian, Emmerling, Reiner, Götz, Kay-Uwe, (2022),
Assessing various environmental descriptors with respect to genotype x environment interaction for milk production traits in Bavarian Fleckvieh cattle
., Journal of Animal Breeding and Genetics
Burns, J. G., Eory, V., Butler, A., Simm, G., Wall, E.
Paper., (2022),
Review: Preference elicitation methods for appropriate breeding objectives
, Animal, Vol. 16, Issue 6
Marieke Poppe, Han A. Mulder, Mathijs L. van Pelt, Erik Mullaart, Henk Hogeveen, Roel F. Veerkamp., (2022),
Development of resilience indicator traits based on daily step count data for dairy cattle breeding
, Genetics Selection Evolution
C. A. Mücher, S. Los, G. J. Franke, Claudia Kamphuis., (2022),
Detection, identification and posture recognition of cattle with satellites, aerial photography and UAVs using deep learning techniques
, International Journal of Remote Sensing, Volume 43, Issue 7
Ana Guillenea, Guosheng Su, Mogens Sandø Lund and Emre Karaman., (2022),
Genomic prediction in Nordic Red dairy cattle considering breed origin of alleles
., Journal of Dairy Science, Vol. 105, Issue 3.
Burns, J. G., Glenk, K., Eory, V., Simm, G., Wall, E. (2022),
Preferences of European dairy stakeholders in breeding for resilient and efficient cattle: A best-worst scaling approach
., Journal of Dairy Science, Vol. 105, Issue 2
Aniela Christine Honig, Vivienne Inhuber, Hubert Spiekers, Wilhelm Windisch, Kay-Uwe Götz, Manfred Schuster, Thomas Ettle., (2022),
Body composition and composition of gain of growing beef bulls fed rations with varying energy concentrations
, Meat Science, Volume 184
Honig A. C., Inhuber V., Spiekers H, Windisch W., Götz K.-U., Ettle T., (2022),
Current data on nutrient accretion of fattening bulls: Implications for the calculation of nutrient excretions.
, Congress Applied Science in Animal Nutrition contribution
J.M.E. Statham, M.W.Spilman & K.L. Burton., (2022),
New Developments in Advanced Breeding Technologies and Phenotyping: SemenRate in UK & Canada.
, BCBC conference contribution
J.M.E. Statham, N.C. Friggens, K. Burton and I. Adriaens., (2022),
Developing precision livestock farming in practice: using sensor time series data for breeding decision support systems.
, WCGALP contribution
A. Bouquet, M. Slagboom, J. Thomasen, N. C. Friggens, M. Kargo and L. Puillet., (2022),
Mechanistic-based prediction of selection response on resilience and feed efficiency traits in dairy cattle.
, WCGALP contribution
A. Guillenea, S. Guosheng, M.S. Lund and E. Karaman., (2022).
Genomic prediction using breed origin of alleles model accounting for probabilities in the assignment of the alleles
, WCGALP contribution
R. B. Stephansen, P. Martin, B. Gredler-Grandl, C. I. V. Manzanilla Pech, G. Sahana, V. Ducrocq, C. Baes, R.F. Veerkamp, J. Lassen. (2022),
Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries
., WCGALP contribution
A. Guillenea, M.S. Lund, R. Evans, V. Boerner and E. Karaman. (2022),
Genomic prediction in multi-breed Irish beef cattle population using a breed origin of alleles model
., WCGALP contribution
J.F. Ramirez, L. Puillet, and N.C. Friggens. (2022),
Identifying diversity in cattle performance using Bayesian inference and a dynamic, mechanistic model
., WCGALP contribution
C. Hozé, A. Baur, S. Fritz, D. Boichard.
(2022),
Prediction of gametic variance and its use in breeding programs.
, WCGALP contribution
S. Mattalia, M. Rocland and M. Poppe.
(2022),
Test-day genetic evaluations: a tool to measure herd resilience through monthly milk records
, WCGALP contribution
P. Croiseau, R. Saintilan, A. Baur, I. Croue, V. Ducrocq, J.R. Thomasen, E. Karaman, D. Boichard, H. Leclerc and B.C.D. Cuyabano. (2022),
Accuracy of prediction for a genomic evaluation in rotational crossbreeding scheme (Montbéliarde x Holstein x Red Danish)
, WCGALP contribution
H Bunning, E Wall. (2022),
Genetic variation in resilience to climate effects on beef carcass traits
., WCGALP contribution
Bonekamp G., Poppe M., ten Napel J., Kamphuis C., de Haas Y., Adriaens I. (2022),
Comparison of milk yield based resilience indicators across dairy cattle breeds
, WCGALP contribution
S. Aguerre, A.Vinet, S. Mattalia. (2022),
Genotype-by-environment interactions for health traits across productivity level or health status of herds in Normande
. WCGALP contribution
R. Rostellato, L-H Maugan, V. Ducrocq. (2022),
Genetic correlations among longevity, fertility, udder health and type traits including or not genomic information.
, WCGALP contribution
Philippe Faverdin, Hervé Guyomard, Laurence Puillet, Agneta Forslund. (2022),
Animal board invited review: Specialising and intensifying cattle production for better efficiency and less global warming: contrasting results for milk and meat co-production at different scales
., Animal, Vol. 16, Issue 1
Friggens, N. C., Adriaens, I., Boré, R., Cozzi, G., Jurquet, J., Kamphuis, C., Leiber, F., Lora, I., Sakowski, T., Statham, J., and De Haas, Y. (2022),
Resilience: reference measures based on longer-term consequences are needed to unlock the potential of precision livestock farming technologies for quantifying this trait.
,
Peer Community Journal - Animal Science, Volume 1
L. Barreto-Mendes, A. De La Torre, I. Ortigues-Marty, I. Cassar-Maleka, J. Pires, F. Blanc. (2022),
How to approach the resilience of livestock exposed to environmental challenges Quantification of individual response and recovery by means of differential calculus
.
Animal - Open Space, Vol. 1, Issue 1
2021
P. Martin, V. Ducrocq, A. Fischer, and N.C. Friggens., (2021),
Combining datasets in a dynamic residual feed intake model and comparison with linear model results in lactating Holstein cattle
.
, Animal, Vol. 15, Issue 12
T. Sakowski, E. Bagnicka, N.C. Friggens, I. Adriaens, Y. de Haas (2021).
Odporność krowy na warunki środowiska produkcyjnego w połączeniu z efektywnością ekonomiczną i analizą zachowania wyznacza nowy kierunek w hodowli bydła mlecznego
,
Pro Agricola
R. Rostellato, J. Promp, H. Leclerc, S. Mattalia, N. C. Friggens, D.Boichard, V. Ducrocq., (2021),
Influence of production, reproduction, morphology, and health traits on true and functional longevity in French Holstein cows
., Journal of Dairy Science, Vol. 104, Issue 12
F.L. Dunne, R.D. Evans, M.M. Kelleher, S.W. Walsh and D.P. Berry, (2021).
Formulation of a decision support tool incorporating both genetic and non-genetic effects to rank young growing cattle on expected market value
,
Animal
Honig A. C., Inhuber V., Spiekers H., Windisch W., Götz K.-U., Schuster M., Ettle T., (2021),
Content of major minerals in the empty body of growing Fleckvieh bulls fed rations with varying energy concentrations
,
76th Conference of the German Society of Nutrition Physiology
Aniela Honig, Vivienne Inhuber, Hubert Spiekers, Wilhelm Windisch, Kay-Uwe Götz, Manfred Schuster, Thomas Ettle, (2021),
Accretion rates of body tissues, nutrients, and energy in growing Fleckvieh bulls fed rations with varying energy concentrations
,
VDLUFA Congress 2021
Aniela Honig, Vivienne Inhuber, Hubert Spiekers, Wilhelm Windisch, Kay-Uwe Götz, Manfred Schuster, Thomas Ettle, (2021),
Research on nutrient distribution in fat tissue of growing Fleckvieh bulls fed diets with varying energy concentrations
,
BAT congress 2021
Jón H. Eiríksson, Emre Karaman, Guosheng Su, and Ole F. Christensen, (2021),
Breed of origin of alleles and genomic predictions for crossbred dairy cows
,
Genetics Selection Evolution
Wijbrand Ouweltjes, Mirjam Spoelstra, Bart Ducro, Yvette de Haas, Claudia Kamphuis, (2021),
A data-driven prediction of lifetime resilience of dairy cows using commercial sensor data collected during first lactation
,
Journal of Dairy Science, Vol. 104, Issue 11
C. Grovermann, S.Quiédeville, A. Muller, F. Leiber, M. Stolze, S. Moakes (2021).
Does organic certification make economic sense for dairy farmers in Europe?–A latent class counterfactual analysis
,
Agricultural Economics
Pauline Martin, Vincent Ducrocq, Philippe Faverdin, Nicolas C. Friggens (2021),
Disentangling residual feed intake—Insights and approaches to make it more fit for purpose in the modern context
,
Journal of Dairy Science, Vol. 104, Issue 6
E. Karaman, G. Su, I. Croue & M. S. Lund, (2021).
Genomic prediction using a reference population of multiple pure breeds and admixed individuals
,
Genetics Selection Evolution
P. Martin, V. Ducrocq, D.G.M. Gordo, N.C. Friggens, (2021).
A new method to estimate residual feed intake in dairy cattle using time series data
,
Animal
L.B. Mendes, M.Coppa, J.Rouel, B. Martin, B. Dumont, A.Ferlay, C.Espinasse, F.Blanc, (2021).
Profiles of dairy cows with different productive lifespan emerge from multiple traits assessed at first lactation: the case of a grassland-based dairy system
,
Livestock Science
Muñoz-Ulecia, E., Bernués, A., Casasús, I., Lobón, S., Olaizola, A., Martín-Collado, D., (2021)
Drivers of change in mountain agriculture: A thirty-year analysis of trajectories of evolution of cattle farming systems in the Spanish Pyrenees
,
Agricultural Systems Volume 186
C. Kamphuis, W. Ouweltjes, M. Poppe, C.A. Mucher, and Y. de Haas (2021),
How can cow-individual sensor data, national data and drone images improve our understanding of resilience
,
ICAR 2021
M. Poppe, G.Bonekamp, M.L.van Pelt, H.A.Mulder, (2021).
Genetic analysis of resilience indicators based on milk yield records in different lactations and at different lactation stages
,
Journal of Dairy Science
M. Poppe, H. A. Mulder, C. Kamphuis, R.F. Veerkamp, (2021).
Between-herd variation in resilience and relations to herd performance
,
Journal of Dairy Science. 104-1
Clasen, JB; Kargo, M; Ostergaard, S; Fikse, WF; Rydhmer, L; Strandberg (2021),
Genetic consequences of terminal crossbreeding, genomic test, sexed semen, and beef semen in dairy herds
,
Journal of Dairy Science, Vol. 104, Issue 7
M. Poppe, H.A. Mulder, R.F. Veerkamp, (2021).
Validation of resilience indicators by estimating genetic correlations among daughter groups and with yield responses to a heat wave and disturbances at herd level
,
Journal of Dairy Science
L. Puillet, V. Ducrocq, N.C.Friggens, P.R.Amer, (2021).
Exploring underlying drivers of genotype by environment interactions in feed efficiency traits for dairy cattle with a mechanistic model involving energy acquisition and allocation
,
Journal of Dairy Science
2020
I. Adriaens, N.C. Friggens, W. Ouweltjes, H. Scott, B. Aernouts, J. Statham (2020)
Productive lifespan and resilience rank can be predicted from on-farm first parity sensor time series but not using a common equation across farms,
Journal of Dairy Science
S. Costa-Roura, D. Villalba, M. Blanco, I. Casasús, J. Balcells and A. R. Seradj, (2020).
Ruminal microbiota is associated with feed-efficiency phenotype of fattening bulls fed high-concentrate diets
,
Animal Production Science
Deirdre C. Purfield, Ross D Evans, Donagh P Berry (2020)
Breed- and trait-specific associations define the genetic architecture of calving performance traits in cattle
, Journal of Animal Science, Volume 98, Issue 5.
F.L. Dunne, D. P. Berry, M.M. Kelleher, R. D. Evans, S.W. Walsh and P. R. Amer (2020)
An index framework founded on the future profit potential of female beef cattle to aid the identification of candidates for culling
,
Journal of Animal Science
,
skaa334
Honig A., Spiekers H., Windisch W., Götz K.-U., Ettle T., (2020).
Influence of dietary energy concentration and body weight at slaughter on carcass tissue composition and beef cuts of modern type Fleckvieh (German Simmental) bulls
,
Meat Science, Vol. 169
I. Lora, F. Gottardo, B. Contiero, A. Zidi, L. Magrin, M. Cassandro, and G. Cozzi (2020)
A survey on sensor systems used in Italian dairy farms and comparison between performances of similar herds equipped or not equipped with sensors,
Journal of Dairy Science, Vol. 103 No. 11
S. Costa-Roura, J. Balcells, G. de la Fuente, J. Mora-Gil, N. Llanes, D. Villalba (2020),
Nutrient utilization efficiency, ruminal fermentation and microbial community in Holstein bulls fed concentrate-based diets with different forage source
,
Animal Feed Science and Technology, Volume 269
Newton, J., & Berry, D. (2020).
On-farm net benefit of genotyping candidate female replacement cattle and sheep
.
Animal,
1-11
Sander Mücher, Jappe Franke, Ben Loke and Henk Kramer (2022),
Exploitation of UAS imagery with machine learning to derive cow characteristics.
,
Measuring Behavior Congress
M. Poppe, R.F. Veerkamp, M.L. van Pelt, H.A. Mulder (2020)
Exploration of variance, autocorrelation, and skewness of deviations from lactation curves as resilience indicators for breeding
,
Journal of Dairy Science, Vol. 103, Issue 2, P. 1667-1684
E.M.M. van der Heide, C. Kamphuis, R. F. Veerkamp, I. N. Athanasiadis, G. Azzopardi, M. L. van Pelt, B. J. Ducro (2020)
Predicting survival in dairy cattle by combining genomic breeding values and phenotypic information
. Journal of Dairy Science, Vol. 103, Issue 1, P. 556-571
J. B. Clasen, W. F. Fikse, M. Kargo, L. Rydhmer, E. Strandberg, and S. Østergaard (2020),
Economic consequences of dairy crossbreeding in conventional and organic herds in Sweden
., Vol. 103, Issue 11, P. 514-528
E.M.M. van der Heide, C. Kamphuis, R. F. Veerkamp, I. N. Athanasiadis, G. Azzopardi, M. L. van Pelt, B. J. Ducro, (2020).
Improving predictive performance on survival in dairy cattle using an ensemble learning approach
,
Computers and Electronics in Agriculture, Volume 177
2019
J.B. Clasen, W.F. Fikse, M. Kargo, L. Rydhmer, E. Strandberg, S.Østergaard (2019)
Economic consequences of dairy crossbreeding in conventional and organic herds in Sweden
,
Journal of Dairy Science, Vol. 103, Issue 1, P. 514-528
Philippe FAVERDIN, Jaap VAN MILGEN, (2019).
Intégrer les changements d’échelle pour améliorer l’efficience des productions animales et réduire les rejets
,
INRA Productions Animales, Vol. 32 No. 2
Purfield, D.C., Evans, R.D., Carthy, TR and Berry, D.P. (2019)
Genomic Regions Associated With Gestation Length Detected Using Whole-Genome Sequence Data Differ Between Dairy and Beef Cattle
.
Front. Genet.
10:1068.
Purfield, D.C., Evans, R.D. & Berry, D.P. (2019)
Reaffirmation of known major genes and the identification of novel candidate genes associated with carcass-related metrics based on whole genome sequence within a large multi-breed cattle population
.
BMC Genomics
20
,
720
W. Ouweltjes, Y. de Haas, and C. Kamphuis (2019)
At-market sensor technologies to develop proxies for resilience and efficiency in dairy cows
.
Precision Dairy Conference 2019 / ECPLF 2019.
Honig A., Spiekers H., Windisch W., Götz K-U., Ettle T. (2019)
Influence of body weight at slaughter and dietary energy concentration on carcass tissue composition of Fleckvieh bulls
.
Conference proceeding
Home
Project
Work Packages
Impact
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Intranet
Results
DELIVERABLES
Policy Brief
Practice abstracts
Scientific papers
Conference communications
DATASETS & SOFTWARE
Themes
>
Genomic management
Mitigation
Improved phenotyping
Environment
Stakeholders
E-Platform
News
They talk about us
Events
WCGALP 2022
CREATIVE CHRISTMAS CONTEST
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