Genomic management Tools to Optimise Resilience and Efficiency

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Report on the gains expected from adopting alternative breeding management strategies under different

Report on the gains expected from adopting alternative breeding management strategies under different conditions

Paper on genomic prediction of efficiency in multiple admixed breeds

Paper on genomic prediction of resilience in multiple admixed breeds

Report on the potential and accuracy of genomic mating plans with an associated software prototype for at least one population
Paper on genomic prediction of efficiency traits in a major crossbreed (HF/Mon/RDC)

Paper on genomic prediction of efficiency traits in a major crossbreed HFMonRDC

Paper on genomic prediction of growth efficiency for beef bulls on different dairy breeds
Paper on correlations between resilience and efficiency across life stages submitted to peer-reviewed scientific journal

Paper on correlations between resilience and efficiency across life stages submitted to peerreviewed scientific journal

Results report of the multi-site experiment to validate RFI and resilience measures in contrasting environments

Results report of the multisite experiment to validate RFI and resilience measures in contrasting environments

Paper on genomic analysis of resilience
Report about genomic predictions for purebred and crossbred individuals.

Report about genomic predictions for purebred and crossbred individuals

Paper on breed admixture in the multi-breed data

Paper on breed admixture in the multibreed data

Publication of regional analysis of the potential of selecting for improved resilience and efficiency traits to increase productivity and sustainability of European cattle system
Report on the accuracy of prediction of future conception rate and implications of alternative breeding strategies
GenTORE project management (guidelines).
Report of recommendations of stakeholders

Report of recommandations of stakeholdersUpdates et M25 M37M49 and M59

Report on Predictions of resilience and efficiency of future milk and meat production systems in a changed climate

Report on Predictions of resilience and efficiency of future milk and meat production systems in a changed climate Deliverable leaded by FA

Outreach and dissemination plan
Peer-reviewed paper on residual productive lifespan method to quantify the major resilience components in adult beef and dairy cows

Peerreviewed paper on residual productive lifespan method to quantify the major resilience components in adult beef and dairy cows

Expected challenges to resilience and efficiency of cattle farming in various European regions – stakeholder views and analysis
Stakeholders meeting (minutes)

Stakeholders meeting minutes

Peer-reviewed paper on extension of RFI methodology to quantify the relative importance of efficiency components over time and nutritional environments
Report on all training activities and the summer school, including the training package materials

Report on all training activities and the summer school including the training package materials

Report on Drivers of efficiency and resilience in beef and dairy systems
Paper on Assessment of environmental, economic and social sustainability impact aspects of different milk and meat production systems in EU

Paper on Assessment of environmental, economic and social sustainability impact aspects of different milk and meat production systems in EU (Deliverable leaded by FA)

Paper on prediction of lifetime performance and resilience trajectories in beef and dairy animals
Paper on identification of key weather perturbations in performance and effect of decrease in temperature
Project brochures

Project brochures Update at M55

Two ‘practise abstracts' in the common EIP format

Two ‘practise abstracts’ in the common EIP format

Video “What resilience is”
Project website on-line

Demonstration software for combining proxies for farm management

Publications

Performance and milk fatty acid profile of beef cows with a different energy status with short nutrient restriction and refeeding

Auteurs: Orquera Arguero, Karina Blanco Alibés, Mireia Bertolín Pardos, Juan Ramón Ferrer Achiaga, Javier Casasús Pueyo, Isabel
Publié dans: Journal of Animal Science, Numéro Volume 101, 2023, skad053, 2023, ISSN 1525-3163
Éditeur: American Society of Animal Science
DOI: 10.1093/jas/skad053

Development of resilience indicator traits based on daily step count data for dairy cattle breeding

Auteurs: Marieke Poppe; Han A. Mulder; Mathijs L. van Pelt; Erik Mullaart; Henk Hogeveen; Roel F. Veerkamp
Publié dans: Genetics Selection Evolution, 2022, ISSN 0999-193X
Éditeur: BioMed Central
DOI: 10.1186/s12711-022-00713-x

Genetic analysis of resilience indicators based on milk yield records in different lactations and at different lactation stages

Auteurs: M. Poppe, G. Bonekamp, M.L. van Pelt, H.A. Mulder
Publié dans: Journal of Dairy Science, Numéro 104/2, 2021, Page(s) 1967-1981, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2020-19245

Observational study on associations between resilience indicators based on daily milk yield in first lactation and lifetime profitability

Auteurs: M. Poppe, R. F. Veerkamp, H. A. Mulder, H. Hogeveen
Publié dans: Journal of Dairy Science, Numéro Volume 105, Numéro 10, October 2022, 2022, Page(s) 8158-8176, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2021-21532

Does organic certification make economic sense for dairy farmers in Europe?–A latent class counterfactual analysis

Auteurs: Christian Grovermann, Sylvain Quiédeville, Adrian Muller, Florian Leiber, Matthias Stolze, Simon Moakes
Publié dans: Agricultural Economics, Numéro Agricultural Economics.2021, 2021, Page(s) 1-12, ISSN 0169-5150
Éditeur: Elsevier BV
DOI: 10.1111/agec.12662

Profiles of dairy cows with different productive lifespan emerge from multiple traits assessed at first lactation: the case of a grassland-based dairy system

Auteurs: L.B. Mendes, M. Coppa, J. Rouel, B. Martin, B. Dumont, A. Ferlay, C. Espinasse, F. Blanc
Publié dans: Livestock Science, Numéro 246, 2021, Page(s) 104443, ISSN 1871-1413
Éditeur: Elsevier BV
DOI: 10.1016/j.livsci.2021.104443

Breed of origin of alleles and genomic predictions for crossbred dairy cows

Auteurs: Jón H. Eiríksson, Emre Karaman, Guosheng Su, and Ole F. Christensen
Publié dans: Genetics Selection Evolution, Numéro Article number: 84, 2021, ISSN 0999-193X
Éditeur: BioMed Central
DOI: 10.1186/s12711-021-00678-3

Combining datasets in a dynamic residual feed intake model and comparison with linear model results in lactating Holstein cattle.

Auteurs: Pauline Martin; Vincent Ducrocq; A. Fischer; Nicolas Friggens
Publié dans: Animal, Numéro Vol 15, Iss 12, Pp 100412, 2021, ISSN 1751-7311
Éditeur: Cambridge University Press
DOI: 10.1016/j.animal.2021.100412

Relationships Between Dairy Cows’ Chewing Behavior with Forage Quality, Progress of Lactation and Efficiency Estimates Under Zero-Concentrate Feeding Systems

Auteurs: Florian Leiber, Florian Moser, Stefanie Ammer, Johanna Probst, Cem Baki, Anet Spengler-Neff, Anna Bieber
Publié dans: Agriculture, Numéro 20770472, 2022, ISSN 2077-0472
Éditeur: MDPI
DOI: 10.3390/agriculture12101570

Formulation of a decision support tool incorporating both genetic and non-genetic effects to rank young growing cattle on expected market value

Auteurs: F.L. Dunne , R. D. Evans, M.M. Kelleher, S.W. Walsh and D. P. Berry
Publié dans: Animal, Numéro Volume 15, Numéro 2, February 2021, 2021, ISSN 1751-7311
Éditeur: Cambridge University Press
DOI: 10.1016/j.animal.2020.100077

Coupling genetic and mechanistic models to benchmark selection strategies for feed efficiency in dairy cows: Sensitivity analysis validating this novel approach

Auteurs: Alban Bouquet, Margot Slagboom, Jørn Rind Thomasen, Nicolas Friggens, Morten Kargo, Laurence Puillet
Publié dans: Animal Open Space, Numéro Volume 1, Numéro 1, December 2022, 100017, 2022, ISSN 2772-6940
Éditeur: Cambridge University Press
DOI: 10.1016/j.anopes.2022.100017

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

Auteurs: Philippe Faverdin, Hervé Guyomard, Laurence Puillet, Agneta Forslund
Publié dans: Animal, Numéro Volume 16, Numéro 1, January 2022, 2022, ISSN 1751-7311
Éditeur: Cambridge University Press
DOI: 10.1016/j.animal.2021.100431

Resilience: reference measures based on longer-term consequences are needed to unlock the potential of precision livestock farming technologies for quantifying this trait

Auteurs: 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.
Publié dans: Peer Community Journal, Numéro Volume 2 (2022), article e38, 2022, ISSN 2804-3871
Éditeur: Peer Community In
DOI: 10.24072/pcjournal.136

Content and gain of macro minerals in the empty body and body tissues of growing bulls

Auteurs: A.C. Honig, V. Inhuber, H. Spiekers, W. Windisch, K-U Götz, G. Strauß, T. Ettle
Publié dans: Meat Science, Numéro Volume 194, December 2022, 108977, 2022, ISSN 0309-1740
Éditeur: Elsevier BV
DOI: 10.1016/j.meatsci.2022.108977

Beef cows' performance and metabolic response to short nutritional challenges in different months of lactation

Auteurs: Orquera-Arguero K. G., Casasús I., Ferrer J., Blanco M.
Publié dans: Research in Veterinary Science, Numéro Volume 159, June 2023, 2023, Page(s) Pages 26-34, ISSN 1532-2661
Éditeur: Elsevier
DOI: 10.1016/j.rvsc.2023.04.002

Emphasis on resilience in dairy cattle breeding – possibilities and consequences

Auteurs: C. Bengtsson, J.R. Thomasen, M. Kargo, A. Bouquet, M. Slagboom
Publié dans: Journal of Dairy Science, Numéro Volume 105, Numéro 9, September 2022, 2022, Page(s) 7588-7599, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2021-21049

Effects of protein restriction on performance, ruminal fermentation and microbial community in Holstein bulls fed high-concentrate diets

Auteurs: Sandra Costa-Roura; J. Balcells; Gabriel de la Fuente; Jesús Mora-Gil; Núria Llanes; Daniel Villalba
Publié dans: Animal Feed Science and Technology, Numéro Volume 264, 2020, ISSN 0377-8401
Éditeur: Elsevier BV
DOI: 10.1016/j.anifeedsci.2020.114479

Genomic prediction in Nordic Red dairy cattle considering breed origin of alleles

Auteurs: Ana Guillenea, Guosheng Su, Mogens Sandø Lund and Emre Karaman
Publié dans: Journal of Dairy Science, 2022, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2021-21173

A framework to estimate the environmentally attainable intake of dairy cows in constraining environments

Auteurs: J.F. Ramirez-Agudelo, L. Puillet, N.C. Friggens
Publié dans: animal, Numéro Volume 17, Numéro 7, July 2023, 100799, 2023, ISSN 1751-732X
Éditeur: Elsevier
DOI: 10.1016/j.animal.2023.100799

Assessing various environmental descriptors with respect to genotype x environment interaction for milk production traits in Bavarian Fleckvieh cattle

Auteurs: Malena Erbe,Christian Edel,Reiner Emmerling,Kay-Uwe Götz
Publié dans: Journal of Animal Breeding and Genetics, 2022, ISSN 1439-0388
Éditeur: John Wiley & Sons Ltd.
DOI: 10.1111/jbg.12722

Exploring underlying drivers of genotype by environment interactions in feed efficiency traits for dairy cattle with a mechanistic model involving energy acquisition and allocation

Auteurs: L. Puillet, V. Ducrocq, N.C. Friggens, P.R. Amer
Publié dans: Journal of Dairy Science, Numéro 104/5, 2021, Page(s) 5805-5816, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2020-19610

A new method to estimate residual feed intake in dairy cattle using time series data

Auteurs: P. Martin, V. Ducrocq, D.G.M. Gordo, N.C. Friggens
Publié dans: Animal, Numéro Volume 15, Numéro 2, February 2021, 100101, 2020, Page(s) 100101, ISSN 1751-7311
Éditeur: Cambridge University Press
DOI: 10.1016/j.animal.2020.100101

Modelling the individual response of beef cows to a short nutrient restriction at different stages of lactation

Auteurs: K.G. Orquera, D. Villalba, M. Blanco, J. Ferrer, I. Casasús
Publié dans: Animal, Numéro Volume 16, Numéro 9, September 2022, 100619, 2022, ISSN 1751-7311
Éditeur: Cambridge University Press
DOI: 10.1016/j.animal.2022.100619

Influence of feed restriction and subsequent recovery on lactating Charolais cows

Auteurs: P. Martin, A. Vinet, L. Allart, F. Launay, D. Dozias, D. Maupetit, G. Renand
Publié dans: Livestock Science, Numéro Volume 264, October 2022, 105077, 2022, ISSN 1871-1413
Éditeur: Elsevier BV
DOI: 10.1016/j.livsci.2022.105077

An index framework founded on the future profit potential of female beef cattle to aid the identification of candidates for culling

Auteurs: F.L. Dunne, D. P. Berry, M.M. Kelleher, R. D. Evans, S.W. Walsh and P. R. Amer
Publié dans: Journal of Animal Science, Numéro October 2020, 2020, ISSN 1525-3163
Éditeur: American Society of Animal Science
DOI: 10.1093/jas/skaa334

Between-herd variation in resilience and relations to herd performance

Auteurs: M. Poppe, H.A. Mulder, C. Kamphuis, R.F. Veerkamp
Publié dans: Journal of Dairy Science, Numéro 104/1, 2021, Page(s) 616-627, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2020-18525

A survey on sensor systems used in Italian dairy farms and comparison between performances of similar herds equipped or not equipped with sensors

Auteurs: I. Lora, F. Gottardo, B. Contiero, A. Zidi, L. Magrin, M. Cassandro, G. Cozzi
Publié dans: Journal of Dairy Science, 2020, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2019-17973

A data-driven prediction of lifetime resilience of dairy cows using commercial sensor data collected during first lactation

Auteurs: Wijbrand Ouweltjes, Mirjam Spoelstra, Bart Ducro, Yvette de Haas, Claudia Kamphuis
Publié dans: Journal of Dairy Science, 2021, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2021-20413

Validation of resilience indicators by estimating genetic correlations among daughter groups and with yield responses to a heat wave and disturbances at herd level

Auteurs: M. Poppe, H.A. Mulder, R.F. Veerkamp
Publié dans: Journal of Dairy Science, Numéro 104/7, 2021, Page(s) 8094-8106, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2020-19817

Body composition and composition of gain of growing beef bulls fed rations with varying energy concentrations

Auteurs: Aniela Christine Honig, Vivienne Inhuber, Hubert Spiekers, Wilhelm Windisch, Kay-Uwe Götz, Manfred Schuster, Thomas Ettle
Publié dans: Meat Science, 2022, ISSN 0309-1740
Éditeur: Elsevier BV
DOI: 10.1016/j.meatsci.2021.108685

Nutrient utilization efficiency, ruminal fermentation and microbial community in Holstein bulls fed concentrate-based diets with different forage source

Auteurs: Sandra Costa-Roura, Joaquim Balcells, Gabriel de la Fuente, Jesús Mora-Gil, Núria Llanes, Daniel Villalba
Publié dans: Animal Feed Science and Technology, 2020, ISSN 0377-8401
Éditeur: Elsevier BV
DOI: 10.1016/j.anifeedsci.2020.114662

Factors affecting true and functional productive lifespan in Italian Holstein-Friesian cows

Auteurs: Roberta Rostellato, Isabella Lora, Julie Promp, Martino Cassandro, Vincent Ducrocq, Giulio Cozzi
Publié dans: Italian Journal of Animal Science, Numéro 1828051X, 2022, Page(s) 1268-1276, ISSN 1828-051X
Éditeur: Taylor and Francis Ltd.
DOI: 10.1080/1828051x.2022.2105264

Influence of dietary energy concentration and body weight at slaughter on carcass tissue composition and beef cuts of modern type Fleckvieh (German Simmental) bulls

Auteurs: Aniela Christine Honig, Vivienne Inhuber, Hubert Spiekers, Wilhelm Windisch, Kay-Uwe Götz, Thomas Ettle
Publié dans: Meat Science, Numéro 169, 2020, Page(s) 108209, ISSN 0309-1740
Éditeur: Elsevier BV
DOI: 10.1016/j.meatsci.2020.108209

Productive life span and resilience rank can be predicted from on-farm first-parity sensor time series but not using a common equation across farms

Auteurs: I. Adriaens, N.C. Friggens, W. Ouweltjes, H. Scott, B. Aernouts, J. Statham
Publié dans: Journal of Dairy Science, Numéro 103, 2020, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2019-17826

Exploration of variance, autocorrelation, and skewness of deviations from lactation curves as resilience indicators for breeding

Auteurs: M. Poppe, R.F. Veerkamp, M.L. van Pelt, H.A. Mulder
Publié dans: Journal of Dairy Science, Numéro 103/2, 2020, Page(s) 1667-1684, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2019-17290

Predicting survival in dairy cattle by combining genomic breeding values and phenotypic information

Auteurs: E.M.M. van der Heide, R.F. Veerkamp, M.L. van Pelt, C. Kamphuis, B.J. Ducro
Publié dans: Journal of Dairy Science, Numéro 103/1, 2020, Page(s) 556-571, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2019-16626

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

Auteurs: D. C. Purfield, R. D. Evans, D. P. Berry
Publié dans: BMC Genomics, Numéro 20/1, 2019, ISSN 1471-2164
Éditeur: BioMed Central
DOI: 10.1186/s12864-019-6071-9

Genomic Regions Associated With Gestation Length Detected Using Whole-Genome Sequence Data Differ Between Dairy and Beef Cattle

Auteurs: Deirdre C. Purfield, Ross D. Evans, Tara R. Carthy, Donagh P. Berry
Publié dans: Frontiers in Genetics, Numéro 10, 2019, ISSN 1664-8021
Éditeur: Frontiers Media
DOI: 10.3389/fgene.2019.01068

On-farm net benefit of genotyping candidate female replacement cattle and sheep

Auteurs: J. E. Newton, D. P. Berry
Publié dans: animal, 2019, Page(s) 1-11, ISSN 1751-7311
Éditeur: Cambridge University Press
DOI: 10.1017/s1751731120000208

Breed- and trait-specific associations define the genetic architecture of calving performance traits in cattle

Auteurs: Deirdre C Purfield, Ross D Evans, Donagh P Berry
Publié dans: Journal of Animal Science, Numéro 98/5, 2020, ISSN 0021-8812
Éditeur: American Society of Animal Science
DOI: 10.1093/jas/skaa151

Economic consequences of dairy crossbreeding in conventional and organic herds in Sweden

Auteurs: J.B. Clasen, W.F. Fikse, M. Kargo, L. Rydhmer, E. Strandberg, S. Østergaard
Publié dans: Journal of Dairy Science, Numéro 103/1, 2020, Page(s) 514-528, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2019-16958

Intégrer les changements d’échelle pour améliorer l’efficience des productions animales et réduire les rejets

Auteurs: Philippe FAVERDIN, Jaap VAN MILGEN
Publié dans: INRA Productions Animales, Numéro Vol. 32 No. 2 (2019), 2018, Page(s) 305-322, ISSN 2273-7766
Éditeur: INRAE Productions Animales
DOI: 10.20870/productions-animales.2019.32.2.2499

Invited review: Disentangling residual feed intake—Insights and approaches to make it more fit for purpose in the modern context

Auteurs: Pauline Martin, Vincent Ducrocq, Philippe Faverdin, Nicolas C. Friggens
Publié dans: Journal of Dairy Science, Numéro 104/6, 2021, Page(s) 6329-6342, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2020-19844

Genomic prediction using a reference population of multiple pure breeds and admixed individuals

Auteurs: Emre Karaman, Guosheng Su, Iola Croue, Mogens S. Lund
Publié dans: Genetics Selection Evolution, Numéro 53/1, 2021, ISSN 1297-9686
Éditeur: Genetics Selection Evolution
DOI: 10.1186/s12711-021-00637-y

Preferences of European dairy stakeholders in breeding for resilient and efficient cattle: A best-worst scaling approach

Auteurs: Burns, J. G., Glenk, K., Eory, V., Simm, G., Wall, E.
Publié dans: Journal of Dairy Science, 2022, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2021-20316

Drivers of change in mountain agriculture: A thirty-year analysis of trajectories of evolution of cattle farming systems in the Spanish Pyrenees

Auteurs: E. Muñoz-Ulecia, A. Bernués, I. Casasús, A.M. Olaizola, S. Lobón, D. Martín-Collado
Publié dans: Agricultural Systems, Numéro 186, 2021, Page(s) 102983, ISSN 0308-521X
Éditeur: Applied Science Publishers
DOI: 10.1016/j.agsy.2020.102983

Detection, identification and posture recognition of cattle with satellites, aerial photography and UAVs using deep learning techniques

Auteurs: C. A. Mücher; S. Los; G. J. Franke; C. Kamphuis
Publié dans: International Journal of Remote Sensing, Numéro Volume 43, 2022 - Numéro 7, 2022, ISSN 0143-1161
Éditeur: Taylor & Francis
DOI: 10.1080/01431161.2022.2051634

Exploration of robustness indicators using adaptive responses to short-term feed restriction in suckling primiparous beef cows

Auteurs: A. De La Torre, L. Barreto-Mendes, J.A.A. Pires, I. Cassar-Malek, I. Ortigues-Marty, and F. Blanc.
Publié dans: Animal, Numéro Volume 16, Numéro 7, July 2022, 2022, ISSN 1751-7311
Éditeur: Cambridge University Press
DOI: 10.1016/j.animal.2022.100556

Influence of production, reproduction, morphology, and health traits on true and functional longevity in French Holstein cows.

Auteurs: R Rostellato; J. Promp; H. Leclerc; S. Mattalia; Nicolas Friggens; Didier Boichard; Vincent Ducrocq
Publié dans: Journal of Dairy Science, Numéro 16, 2021, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2020-19974

Estimating body dimensions and weight of cattle on pasture with 3D models from UAV imagery

Auteurs: S. Los, C.A. Mücher, H. Kramer, G.J. Franke, C. Kamphuis
Publié dans: Smart Agricultural Technology, Numéro Volume 4, August 2023, 100167, 2023, ISSN 2772-3755
Éditeur: Elsevier
DOI: 10.1016/j.atech.2022.100167

Genetic consequences of terminal crossbreeding, genomic test, sexed semen, and beef semen in dairy herds

Auteurs: Clasen, JB; Kargo, M; Ostergaard, S; Fikse, WF; Rydhmer, L; Strandberg, E
Publié dans: Journal of Dairy Science, Numéro Volume 104, Numéro 7, 2021, Page(s) Pages 8062-8075, ISSN 0022-0302
Éditeur: American Dairy Science Association
DOI: 10.3168/jds.2020-20028

Improving predictive performance on survival in dairy cattle using an ensemble learning approach

Auteurs: E.M.M. van der Heide, C. Kamphuis, R.F. Veerkamp, I.N. Athanasiadis, G. Azzopardi, M.L. van Pelt, B.J. Ducro
Publié dans: Computers and Electronics in Agriculture, Numéro 177, 2020, Page(s) 105675, ISSN 0168-1699
Éditeur: Elsevier BV
DOI: 10.1016/j.compag.2020.105675

Influence of climate stress on technical efficiency and economic downside risk exposure of EU dairy farms

Auteurs: S. Quiedeville , Grovermann, C., Leiber, F., Cozzi, G., Lora, I., Eory, V., Moakes, S.
Publié dans: Journal of Agricultural Science, 2022, ISSN 0021-8596
Éditeur: Cambridge University Press
DOI: 10.1017/s0021859622000375

Review: Preference elicitation methods for appropriate breeding objectives

Auteurs: Burns, J. G., Eory, V., Butler, A., Simm, G., Wall, E.
Publié dans: animal, 2022, ISSN 1751-7311
Éditeur: Cambridge University Press
DOI: 10.1016/j.animal.2022.100535

Ruminal microbiota is associated with feed-efficiency phenotype of fattening bulls fed high-concentrate diets

Auteurs: S. Costa-Roura, D. Villalba, M. Blanco, I. Casasús, J. Balcells, A. R. Seradj
Publié dans: Animal Production Science, Numéro 2021-01-28, 2021, Page(s) online, ISSN 1836-0939
Éditeur: Commonwealth Scientific and Industrial Research Organization Publishing
DOI: 10.1071/an20344

Farmers’ perceptions on parameters defining suckler cow efficiency

Auteurs: Casasús, I. Lobón, S. Bernués, A.
Publié dans: Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science, 2018, Page(s) 269, ISBN 978-90-8686-871-1
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-871-1

How can cow-individual sensor data, national data and drone images improve our understanding of resilience

Auteurs: C. Kamphuis, W. Ouweltjes, M. Poppe, C.A. Mucher, and Y. de Haas
Publié dans: 44th ICAR Annual Conference, 2021, ISBN 978-92-95014-20-6
Éditeur: ICAR

At-market sensor technologies to develop proxies for resilience and efficiency in dairy cows

Auteurs: Kamphuis, C.; Haas, de, Y.; Ouweltjes, W.
Publié dans: Proceedings of the 2nd International Precision Dairy Farming Conference, Numéro 5, 2019, ISBN 9781841706542
Éditeur: Teagasc

Test-day genetic evaluations: a tool to measure herd resilience through monthly milk records

Auteurs: S. Mattalia, M. Rocland, S. Aguerre and M. Poppe
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, Page(s) 651 - 654, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_150

Prediction of gametic variance and its use in breeding programs

Auteurs: C. Hoze, A. Baur, S. Fritz and D. Boichard
Publié dans: Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science, 2020, Page(s) 429, ISBN 978-90-8686-349-5
Éditeur: Wageningen Academic Publishers

Genomic models considering G×E: modelling heterogeneous SNP variances

Auteurs: B. Gredler-Grandl and M.P.L. Calus
Publié dans: Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science, 2020, Page(s) 192, ISBN 978-90-8686-349-5
Éditeur: Wageningen Academic Publishers

Economic resilience and efficiency indicators of conventional and organic dairy farms accross Europe

Auteurs: Christian Grovermann, Sylvain Quiédeville, Matthias Stolze, Florian Leiber, Simon Moakes
Publié dans: Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science, 2019, Page(s) 444, ISBN 978-90-8686-339-6
Éditeur: Wageningen Academic Publishers

Statistical analysis of microbiome data

Auteurs: S. Costa-Roura, G. De La Fuente, J. Balcells, D. Villalba
Publié dans: Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science, 2020, Page(s) 267, ISBN 978-90-8686-349-5
Éditeur: Wageningen Academic Publishers

Genotype-by-environment interactions for health traits across productivity level or health status of herds in Normande

Auteurs: S. Aguerre, A. Vinet and S. Mattalia
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, Page(s) 406 - 409, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_89

Resilience indicators based on daily milk yield data for genetic selection in dairy cattle

Auteurs: M. Poppe, H.A. Mulder, H. Hogeveen, C. Kamphuis, G. Bonekamp, M.L. van Pelt, E. Mullaart and R.F. Veerkamp
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, Page(s) 446 - 449, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_99

Quantifying resilience of dairy cows from on-farm time-series measures

Auteurs: Y. de Haas and the GenTORE-WP3-consortium
Publié dans: Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science, 2020, Page(s) 278, ISBN 978-90-8686-349-5
Éditeur: Wageningen Academic Publishers

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

Auteurs: R.B. Stephansen, P. Martin, B. Gredler-Grandl, C.I.V. Manzanilla Pech, G. Sahana, V. Ducrocq, C. Baes, F. Schenkel, R.F. Veerkamp and J. Lassen
Publié dans: Cover ImageProceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, Page(s) 340 - 343, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_73

Developing precision livestock farming in practice: using sensor time series data for breeding decision support systems

Auteurs: J.M.E. Statham, K.L. Burton, I. Adriaens, I. Lora, G. Cozzi, Y. de Haas, C. Kamphuis, L. Vedder, B. Loke and N.C. Friggens
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, Page(s) 659 - 662, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_152

Impact of early life feeding management on fattening calves ruminal metagenome

Auteurs: S. Costa, G. De La Fuente, M. Blanco, J. Balcells, I. Casasús and D. Villalba
Publié dans: Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science, 2019, Page(s) 312, ISBN 978-90-8686-339-6
Éditeur: Wageningen Academic Publishers

Increasing duration of feed restriction: performance ranking and variability of beef cows’ response

Auteurs: De La Torre, A., Barreto, L., Pires, J., Sepchat, B., Cassar-Malek, I., Ortigues-Marty, I., Blanc, F.
Publié dans: Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science, 2020, Page(s) 281, ISBN 978-90-8686-349-5
Éditeur: Wageningen Academic Publishers

Accuracy of prediction for a genomic evaluation in rotational crossbreeding scheme (Montbéliarde × Holstein × Red Danish)

Auteurs: P. Croiseau, R. Saintilan, A. Baur, I. Croue, V. Ducrocq, J.R. Thomasen, E. Karaman, D. Boichard, H. Leclerc and B.C.D. Cuyabano
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, Page(s) 1148 - 1151, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_272

Comparison of milk yield based resilience indicators across dairy cattle breeds

Auteurs: G. Bonekamp, M. Poppe, J. ten Napel, C. Kamphuis, Y. de Haas and I. Adriaens
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, Page(s) 402 - 405, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_88

Genetic correlations among longevity, fertility, udder health and type traits including or not genomic information

Auteurs: R. Rostellato, L.-H. Maugan and V. Ducrocq
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, Page(s) 1246 - 1249, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_296

Functional data analysis on MY and NEFA responses of beef cows exposed to feed restrictions

Auteurs: Mendes, L.B., De La Torre, A., Pires, J., Cassar-Malek, I., Ortigues-Marty, I., Blanc, F.
Publié dans: Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science, 2020, Page(s) 371, ISBN 978-90-8686-349-5
Éditeur: Wageningen Academic Publishers

Mechanistic-based prediction of selection response on resilience and feed efficiency traits in dairy cattle

Auteurs: A. Bouquet, M. Slagboom, J. Thomasen, N.C. Friggens, M. Kargo and L. Puillet
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2022, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_55

Identifying diversity in cattle performance using Bayesian inference and a model

Auteurs: J.F. Ramirez, L. Puillet and N.C. Friggens
Publié dans: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2023, ISBN 978-90-8686-940-4
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-940-4_70

Efficience Alimentaire : comment mieux la comprendre et en faire un élément de durabilité de l’élevage

Auteurs: Gonzalo CANTALAPIEDRA-HIJAR, Philippe FAVERDIN, Nicolas C FRIGGENS, Pauline MARTIN
Publié dans: INRAE Productions Animales, Numéro Vol. 33 No 4 (2020), 2018, Page(s) 235-248, ISSN 2273-7766
Éditeur: INRAE Productions Animales
DOI: 10.20870/productions-animales.2020.33.4.4594

Genetic improvement of resilience in dairy cattle using longitudinal data

Auteurs: Marieke Poppe
Publié dans: Wageningen University, 2022, ISBN 9789464470772
Éditeur: Wageningen University
DOI: 10.18174/561637

Towards sustainable livestock systems: Developing and applying methods for broad sustainability assessment of pig and cattle systems

Auteurs: Stanley Zira
Publié dans: Acta Universitatis Agriculturae Sueciae, Numéro 2022:42, 2022, ISBN 978-91-7760-960-5
Éditeur: Swedish University of Agricultural Sciences

Predicting survival in dairy cattle using machine learning

Auteurs: E.M.M. van der Heide
Publié dans: Wageningen University, 2020, ISBN 9789463954273
Éditeur: Wageningen University
DOI: 10.18174/523729

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