- Preface of the ICAR Proceedings on “Breeding for resilience: transitioning diverse livestock farming systems into the future”.
- Summary and main conclusions of the round table on “Data ownership and data sharing”
- Practical lessons from data hub implementation
J. Frandsen. and C. Murphy - Development of an automated quality control pipeline to facilitate the reporting of major gene genotypes
K. Quigley., T. Browne., K. O’ Connell., P. Flynn., R.D. Evans. and M.P. Mullen - Agri-food Data Canada: A data ecosystem serving agri-food sustainability
L.M. Alcantara, C. Huitema and A.M. Edwards - Data investment strategy – the core issue for genetics organisations in the genomics era
R.G. Banks., S. Ring. and R. Evans - Challenges and opportunities of milk recording methods in Irish dairy farms: A comparison of test day milk recordings and daily bulk collection samples
M. Thompson - Identification of behavioural patterns associated with acidosis in dairy cows
L. Herve., Y. Gómez., K. Chow., G.V. Berteselli., E. Dalla Costa., E. Canali., X. Manteca. and P. Llonch
- A predictive model for hypocalcemia in dairy cows utilizing behavioural sensor data combined with deep learning
M. van Leerdam., A. Liseune., P.R. Hut., E. Slavco., J. Hulsen. and M. Hostens - Exploration of animal-based parameters (activity level and respiratory health status) collected by sensors to monitor pig welfare on farm
H.-L. Ko., D. Escribano., M. López-Arjona., M. Botia., A. Ortín-Bustillo., F. Tecles., P. Fuentes., J. Cerón., X. Manteca. and P. Llonch - Searching for phenotypes to improve welfare in Avileña-Negra Ibérica beef cattle breed: preliminary results
C. Meneses., M.J. Carabaño., M. González., A. Hernández., C. González., F. Vicente., M. Álvarez., J. de la Fuente., M. Ramón., C. Palau., J. González., S. Zabala. and C. Díaz - Sensor data for animal health and welfare: present perspectives and future applications
K. Schodl., M. Burke., R. van der Linde. and C. Egger-Danner - Descriptive evaluation of camera-based lameness detection technology paired with artificial intelligence in dairy cattle
D. Swartz., E. Shepley., D. Norman., J. Burchard., Xiao Lin Wu., A. Miles. K.P. Gaddis and G. Cramer - Assessing the impact of body condition score dynamics from dry-off to calving on the incidence of early lactation disease in Holstein cows
P. Pinedo., D. Manríquez, J. Azocar. and A. De Vries - Towards new breeding tools in a context of climate change: Fertility results of the RUMIGEN project on new phenotypes for heat tolerance traits
M. Carabaño., A. Vinet., H. Mulder., M. Calus., J. Vandenplas., M. Ramón., C. Díaz., B. Cuyabano., D. Boichard., E. Pailhoux. and S. Mattalia - Genetic analysis of lactation consistency using daily milk weights in U.S. Holsteins
F.L. Guinan., R.H. Fourdraine., F. Peñagaricano. and K.A. Weigel - Use of vocalizations to detect pain and discomfort in dairy cows at dry-off
J. Miranda, C. Larrondo, R. Guevara, E. Vidaña-Vila, J. Malé, M. Freixes, R.M. Alsina-Pagès, L. Duboc, E. Mainau and P. Llonch - Practical Lessons from Data Hub Implementation
J. Frandsen. and C. Murphy - Prediction of heat stress status by infrared spectroscopy in dairy sheep
M. Ramon., C. Diaz. and M. Carabaño - NEU.rind – Digital farm assistant for assessing sustainability, efficiency and environmental impact on the dairy farm
F. Steininger., S. Hörtenhuber., M. Herndl., K. Linke., M. Stegfellner., J. Schmidt., M. Horn., F.J. Auer. and C. Egger-Danner - The Sustainability Index: A new tool to breed for reduced greenhouse gas emissions intensity in Australian dairy cattle
T.T.T. Nguyen., C.M. Richardson., M Post., P.R. Amer., G.J. Nieuwhof., P. Thurn. and M. Shaffer - Farm-to-table science: dairy data mining for future resilience
J.I. Ohlsson, T. Klingström, D.-J. de Koning - Prediction of body condition in Jersey dairy cattle from .D images using machine learning techniques
R.B. Stephansen., C.I.V. Manzanilla-Pech., G. Gebreyesus., G. Sahana. and J. Lassen - How to optimize feed efficiency by automatic data Exchange
J. Frandsen - System and biological effects on quantitative milking speed phenotypes from inline milk meters
A.M. Miles., R. Fourdraine., J.L. Hutchison., S. Sievert., K. Gaddis., J. Bewley., S. Eaglen., J. Weiker. and J. Durr - Comparing peak of lactation from Automatic Milking Systems and Conventional Milking Systems
L. Fadul-Pacheco, G. Bisson, R. Lacroix and D.E. Santschi - French experience of using ICAR approved method for predicting .-hour fat percentage and yield from one sampled milking in Automatic Milking Systems
X. Bourrigan., R. Vallée. and G. Augier - Milk recording in sheep and goats: state of the art and materials used for recording and sampling
J.M. Astruc., A. Carta., M. Simčic., M. Špehar., E. Ugarte., C. Mosconi. and S. Sievert - Overviews of milk recording and recording devices in sheep and goats in Italy
M. Fioretti., L. Pascarella., R. Negrini.,. and G. Malvezzi - Dtreo, a flexible cloud-based data-recording platform for data-driven decisions in sheep and goat industries
S. Savoia., B. Santos., S. Liebergreen, E. Ooi., S. Kumar., M. Teviotdale., P. Amer. and T. Byrne - Challenges on milk recording and sampling in the Latxa dairy sheep breeding program
M. Lasarte., L. Mintegi., J. Bizkarralegorra., A. Cenitagoia. and A. Díez - Infrared models for the prediction of cow colostrum immunoglobulins G concentration: phenotypic variability and relationship with colostrum yield
M. De Marchi., A. Goi., M. Pozza., E. Chiarin., and A. Costa - In-line real-time milk composition analysis by tunable laser spectroscopy for dairy farms
T. Bučiūnas, B. Bilinskas, I. Šimonytė, T. Žukauskas, A. Miasojedovas, V. Čerkasovas, A. Baltrėnas, A. Vizbaras, K. Vizbaras and D. Vizbaras - A time-series analysis of Alpine and Saanen goat milk productivity trends in Taiwan
P.A. Tu., J. W. Shiau., S.T. Chen., M.C. Wu., J.T. Hsu., M.K. Yang. and J.F. Huang - GenoCells for dairy goats: identification of the most contributing goats to the bulk tank somatic cell count by genotyping tank milk
A. Vivier., P. Lenormand., T. Lallemand., F. Perrin., M. Calmels., M. Foucher. and J.B. Davière - Valorization of extensive breeding of the Spanish Merino Sheep through the quality wool improvement: Preliminary results of GWAS of fiber diameter from whole genome sequenze
G. Anaya., N. Laseca., A. Domingo., A. Granero., F. Arrebola., C. Ziadi. and Antonio Molina - The state of the art about the development of mid-infrared based fatty acids predictions and their applications along the dairy food chain
M. Whittaker., S. Orlandini., C. Baumgartner., S. Holroyd., G. Scott., P. Jamieson., D. Santschi., M. Bahadi., B. Harris., K. Sanders. and H. Soyeurt - GreenFeed and Sniffer Standard Operating Procedure (SOP) in dairy and beef cattle
L. Benzoni ., D. Berry ., E. Dressler ., R. Hegarty ., L. Koning ., C. Mc Donnell ., L. Mcnaughton ., G. Ritchie ., R. Finocchiaro ., A. Van Breukelen ., A. García-Rodríguez ., O. Gonzalez-Recio ., C. Richardson ., T.M. Villumsen . and B. Gredler-Grandl - Genetic parameters and single step evaluation of sexual precocity traits in Charolais beef cattle
R. Saintilan, M. Gicquel, A. Baur, A, H. Leclerc and F. Guillaume - Exploring opportunities to evaluate genomically MIR‑predicted residual CH. exploiting correlations to MACE traits
H. Atashi. A. Vanlierde., F. Dehareng., H. Soyeurt. and N. Gengler - Beef cattle breeding in Latvia
E. Skujina and I. Pilvere - Application of ssGBLUP in Murrah buffaloes reared under small holder conditions in India
N. Nayee, S. Saha, A. Sudhakar, S. Gajjar, A. Mahajan and K. Trivedi - Genomics improves the reliability of Breeding Value Prediction of morphological and reproductive traits in the Pura Raza Español Horse: Preliminary results
C. Ziadi., D. Perdomo-González., M. Valera., N. Laseca., A. Encina., P. Azor., A. Rodríguez., S. Demyda-Peyrás. and A. Molina - Validation of US genomic prediction for milk and fat yield for Holstein cattle in subtropical Taiwan
Chun Hsuan Chao, Jih-Yi Chen, Po-An Tu, Szu Han Wang and Jen-Wen Shiau - Valuing the Certificate of Quality at Holstein UK
D. Todd - Ewes’ Milk Urea Concentration methods’ optimization, by difference in pH and Mid-Infrared Spectroscopy (MIRS)
F. Albert., M. El Jabri., P. Trossat., M. Gelé., J.-M. Astruc., C. Laithier. and G. Lagriffoul - Development of a new equation based on MIR spectra to predict lipolysis in dairy goats
M. Gelé., S. Meurisse., P. Trossat², A. Oudotte², T. Fassier., H. Caillat., P. Lamberton., A. Eymard., H. Larroque., L. Bernard., C. Hurtaud. and C. Cebo - Genomic selection in Spanish dairy sheep breeds
I. Granado Tajada., E. Ugarte Sagastizabal. and M. Serrano. - Spanish dairy sheep breed associations were granted with the ICAR Certificate of Quality
J.M. Astruc, F. Freire, R. Gallego, T. Lopez, L. Mintegi, E. Couto, A. Calavia, F. Tejerina and C. Diaz