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Bioinformatics4Breeding SIGNED

Harnessing the power of bioinformatic analysis to improve genetic selection for fertility in dairy cows

Total Cost €

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EC-Contrib. €

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Partnership

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 Bioinformatics4Breeding project word cloud

Explore the words cloud of the Bioinformatics4Breeding project. It provides you a very rough idea of what is the project "Bioinformatics4Breeding" about.

beneficial    phenotypes    groups    buggiotti    expertise    reversed    phenotypic    coding    farm    highlight    longlasting    culling    return    combines    longevity    candidate    expression    senior    dc    polymorphisms    animal    researcher    italy    veterinary    appropriate    committed    analisi    fertile    she    scientists    dairy    genic    regulatory    genomics    events    efficiency    understand    breeding    industry    back    college    regions    larger    la    train    containing    mobility    datasets    tools    wathes    molecular    function    genomic    uk    networks    infertility    agraria    consiglio    decreasing    incoming    rvc    variants    larkin    economia    found    gene    fertility    evolutionary    supplement    dm    yielding    genes    alongside    genetic    cows    ricerca    conserved    snp    breed    reproductive    influence    genetics    met    sustainability    dell    cow    transfer    reducing    crea    trend    bioinformatics    selective    royal    genotyping    dna    agricoltura    closely    detection    professor    recommend    genome    dr    data    cattle   

Project "Bioinformatics4Breeding" data sheet

The following table provides information about the project.

Coordinator
THE ROYAL VETERINARY COLLEGE 

Organization address
address: ROYAL COLLEGE STREET
city: LONDON
postcode: NW1 OTU
website: www.rvc.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://www.rvc.ac.uk/Media/Default/staff/files/lbuggiotti-publishable-summary-mariecurie-lb.pdf
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-CAR
 Starting year 2016
 Duration (year-month-day) from 2016-05-01   to  2018-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE ROYAL VETERINARY COLLEGE UK (LONDON) coordinator 195˙454.00

Map

 Project objective

Genetic selection for high yielding dairy cows has been associated with reduced fertility. Infertility remains the major reason for culling, decreasing longevity and reducing production efficiency. We propose that this trend could be reversed by identifying key genes involving reproductive function and selective breeding of more longlasting cows. The specific research objectives are: 1) to train the incoming researcher in bioinformatics methodologies related to analysis of large genomic datasets including SNP detection, genotyping, and evolutionary conserved DNA elements detection; 2) to use the methodologies to analyse dairy phenotypic and genomic data to highlight potential genic and regulatory regions of the cattle genome containing polymorphisms which are beneficial, with a particular focus on fertility; 3) to use appropriate tools to investigate the likely effects of both coding and regulatory variants on the expression of the candidate genes found in these regions; 4) to use pathway analysis to understand how the candidate genes may influence key molecular events and larger gene networks involved in reproductive phenotypes; 5) to recommend appropriate selection procedures to the EU dairy breeding industry to supplement current genomic methods. The project combines the expertise of Consiglio per la Ricerca in Agricoltura e l’analisi dell’Economia agraria, Italy (CREA) and the Royal Veterinary College, UK (RVC) in farm animal genetics and genomics and dairy cow production. The objectives will be met by the mobility of Dr L Buggiotti to the UK, where she will work closely alongside two senior RVC scientists, Dr DM Larkin and Professor DC Wathes. She will transfer this expertise back to CREA on her return. Both groups are experienced in knowledge transfer to the dairy industry and are committed to use the information generated to breed more fertile cows, so improving longevity and promoting sustainability of the EU dairy industry.

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