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Animal Science and Veterinary

D-Index
49
Citations
8623
World Ranking
653
National Ranking
72

Overview

Mike Coffey is affiliated with Scotland's Rural College in the United Kingdom, focusing primarily on research related to biochemistry, genetics, and molecular biology, as well as agricultural and biological sciences. Their work has a significant emphasis on genetics and animal science, with notable contributions across several interconnected subfields including genetics, animal science and zoology, agronomy and crop science, small animals, and microbiology.

Their research covers a range of main topics, notably genetic and phenotypic traits in livestock, effects of environmental stressors on livestock, genetic mapping and diversity in plants and animals, animal behavior and welfare studies, microbial infections and disease research, animal disease management and epidemiology, and milk quality and mastitis in dairy cows.

Mike Coffey has contributed to several papers published mainly in the Journal of Dairy Science, as well as in Animal - Science Proceedings, Veterinary Record, Scientific Reports, and the journal animal. Recent publications include:

  • Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning, 2020, Journal of Dairy Science
  • A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra, 2020, Journal of Dairy Science
  • Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learning, 2021, Journal of Dairy Science
  • Telomere attrition rates are associated with weather conditions and predict productive lifespan in dairy cattle, 2021, Scientific Reports
  • Genetic parameters for carcase measurements and age at slaughter in commercial cattle, 2020, animal

They have collaborated extensively with other researchers, including frequent co-authors such as Georgios Banos, Bingjie Li, Androniki Psifidi, G. Oikonomou, and Alkiviadis Anagnostopoulos.

Mike Coffey's work intersects multiple disciplines to enhance understanding of livestock genetics and health, utilizing advanced analytical techniques such as machine learning and spectroscopy in dairy science. The research addresses both biological mechanisms and practical implications, including environmental effects and disease management in agricultural contexts.

Best Publications

  • The Relationship Between Body Condition Score and Reproductive Performance

    J.E. Pryce;M.P. Coffey;G. Simm

  • Changes in feeding behavior as possible indicators for the automatic monitoring of health disorders in dairy cows.

    L.A. González;L.A. González;B.J. Tolkamp;M.P. Coffey;A. Ferret

  • Differences between primiparous and multiparous dairy cows in the inter-relationships between metabolic traits, milk yield and body condition score in the periparturient period.

    D C Wathes;Z R Cheng;N Bourne;V J Taylor

  • Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries.

    Hélène Soyeurt;Frédéric Dehareng;Nicolas Gengler;Sinead McParland

  • The genetic relationship between calving interval, body condition score and linear type and management traits in registered Holsteins.

    J.E. Pryce;M.P. Coffey;S. Brotherstone

  • Genetic Evaluation of Fertility Using Direct and Correlated Traits

    E. Wall;Susan Brotherstone;Susan Brotherstone;John Woolliams;Georgios Banos

  • Genetic parameters and evaluations from single- and multiple-trait analysis of dairy cow fertility and milk production

    Haja N Kadarmideen;Robin Thompson;Michael P Coffey;Mohamad A Kossaibati

  • Genetic evaluation of dairy bulls for energy balance traits using random regression

    M. P. Coffey;G. C. Emmans;S. Brotherstone

  • Impact of single nucleotide polymorphisms in leptin, leptin receptor, growth hormone receptor, and diacylglycerol acyltransferase (DGAT1) gene loci on milk production, feed, and body energy traits of UK dairy cows.

    Georgios Banos;John Woolliams;B. W. Woodward;A. B. Forbes

  • Potential for estimation of body condition scores in dairy cattle from digital images.

    J. M. Bewley;A. M. Peacock;O. Lewis;R. E. Boyce

  • Genetic parameters for production, health, fertility and longevity traits in dairy cows.

    Pritchard T;Coffey Mp;Mrode R;Wall E

  • Genetic Aspects of Growth of Holstein-Friesian Dairy Cows from Birth to Maturity

    M.P. Coffey;J.M. Hickey;S. Brotherstone

  • Multiple correlation analyses of metabolic and endocrine profiles with fertility in primiparous and multiparous cows

    D C Wathes;N Bourne;Z R Cheng;G E Mann

  • Genetic relationships between calving interval and body condition score conditional on milk yield.

    J.E. Pryce;M.P. Coffey;S.H. Brotherstone;John Woolliams

  • International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources

    Donagh P. Berry;M.P. Coffey;J.E. Pryce;Y. De Haas

  • Genotype and Diet Effects on Energy Balance in the First Three Lactations of Dairy Cows

    M P Coffey;Geoff Simm;J D Oldham;W G Hill

  • Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows

    J.E. Pryce;J.E. Pryce;O. Gonzalez-Recio;G. Nieuwhof;W.J. Wales

  • Energy balance profiles for the first three lactations of dairy cows estimated using random regression

    M.P. Coffey;G. Simm;S. Brotherstone

  • Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries.

    RJ Tempelman;DM Spurlock;MP Coffey;RF Veerkamp

  • The use of mid-infrared spectrometry to predict body energy status of Holstein cows.

    Sinead McParland;Giorgios Banos;Eileen Wall;Mike Coffey

  • Evidence of genetic resistance of cattle to infection with Mycobacterium bovis.

    Susan Brotherstone;I. M. White;M. Coffey;S. H. Downs

  • The relationship between fertility, rump angle, and selected type information in Holstein-Friesian cows.

    E. Wall;I.M.S. White;M.P. Coffey;S. Brotherstone;S. Brotherstone

  • Improved accuracy of genomic prediction for dry matter intake of dairy cattle from combined European and Australian data sets.

    Y. de Haas;M.P.L. Calus;R.F. Veerkamp;E. Wall

  • Estimation of genomic breeding values for milk yield in UK dairy goats

    Mucha S;Mrode R;MacLaren-Lee I;Coffey Mp

  • Genetic analysis of carcass traits in beef cattle using random regression models

    T M Englishby;Georgios Banos;K L Moore;Mike P Coffey

  • Genome-wide association study of conformation and milk yield in mixed-breed dairy goats

    Sebastian Mucha;Raphael Mrode;Mike Coffey;Mehmet Kizilaslan

  • Phenotypic effects of calving ease on the subsequent fertility and milk production of dam and calf in UK Holstein-Friesian heifers.

    Sophie Eaglen;Sophie Eaglen;M.P. Coffey;John Woolliams;R. Mrode

  • Use of competition data for genetic evaluations of eventing horses in Britain: Analysis of the dressage, showjumping and cross country phases of eventing competition

    C.g.s. Kearsley;John Woolliams;M.p. Coffey;S. Brotherstone

  • Evaluating alternate models to estimate genetic parameters of calving traits in United Kingdom Holstein-Friesian dairy cattle

    Sophie A E Eaglen;Mike P Coffey;John A Woolliams;Eileen Wall

  • On the value of the phenotypes in the genomic era.

    O. Gonzalez-Recio;O. Gonzalez-Recio;M.P. Coffey;J.E. Pryce;J.E. Pryce;J.E. Pryce

  • Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning.

    SJ Denholm;W Brand;Andrew Mitchell;AM Wells

  • Genome-wide association study of conformation and milk yield in mixed-breed dairy goats

    S Mucha;R Mrode;MP Coffey;JE Conington

Frequent Co-Authors

Georgios Banos
Georgios Banos Scotland's Rural College
Raphael A. Mrode
Raphael A. Mrode International Livestock Research Institute
Susan Brotherstone
Susan Brotherstone University of Edinburgh
Eileen Wall
Eileen Wall Scotland's Rural College
Roel F. Veerkamp
Roel F. Veerkamp Wageningen University & Research
John Woolliams
John Woolliams University of Edinburgh
Jennie E. Pryce
Jennie E. Pryce La Trobe University
Donagh P. Berry
Donagh P. Berry Teagasc - The Irish Agriculture and Food Development Authority
Y. de Haas
Y. de Haas Wageningen University & Research
Kent A. Weigel
Kent A. Weigel University of Wisconsin–Madison

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Related Online Degrees & Career Pathways

Exploring animal science and veterinary studies opens doors to diverse career options, many of which can be enhanced through specialized online degrees. For those interested in building supportive roles within animal care and therapy, programs such as marriage and family therapy masters programs online offer valuable skills in counseling that can complement animal science knowledge, especially in fields like animal-assisted therapy.

For advanced professionals aiming to deepen their expertise, pursuing online doctoral programs in counseling can provide pathways to leadership and research roles related to behavioral health in both humans and animals.

Those committed to animal care can explore a variety of animal degrees, which cover everything from animal nutrition to wildlife conservation, enhancing employability in veterinary clinics, zoos, or research institutions.

Additionally, career pathways such as becoming an athletic director showcase the versatility of managing health and wellness programs, often integrating knowledge of physiology that parallels veterinary sciences in sports settings.

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