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Genetics: Technologies to drive resilience

Tracks
Lettermore Suite
Thursday, April 10, 2025
12:00 PM - 1:30 PM

Overview

Sponsored by ICBF

Details

The session focuses on machine learning and handling of large datasets to investigate the role of genomic selection, breed differentiation, milk yield, feed intake and animal disease. The session focuses on genetic technologies in cattle.

Session Sponsor & Speakers

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Session Sponsored by ICBF

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Prof. Luca Fontanesi
Full Professor
University Of Bologna

European Network on Livestock Phenomics: enhancing phenotyping in animal breeding and livestock farming

12:05 PM - 12:35 PM

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Mr Edwin Jun Kiat Ong
Phd Student
Queen's University Belfast

Utilizing machine learning in genomic selection of Holstein dairy cattle’s residual feed intake

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Mrs Abbygail Wells
Phd Student
Sruc

Predicting feed intake of UK dairy cattle using milk mid-infrared spectra, predictor traits, and machine learning

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Mrs Kardelen O. Temiz
Phd Candidate
Aberystwyth University

Bioinformatic investigation of the ​​differences between traditional and modern breeds of cattle

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Dr Masoud Shirali
Head Of Farm Animal Bioinformatics Unit
Agri-Food & Biosciences Institute (AFBI)

Candidate genes and pathways associated with bovine tuberculosis identified with an mRNA-miRNA regulatory network.

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Ms Fiona Louise Guinan
Phd Fellow
University Of Wisconsin-madison

Dairy cow resilience: data driven detection and quantification of perturbations using daily milk weights

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Chair

Siobhan Ring

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