Opendata, web and dolomites

Bioinformatics4Breeding SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BIOINFORMATICS4BREEDING" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "BIOINFORMATICS4BREEDING" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

LiverMacRegenCircuit (2020)

Elucidating the role of macrophages in liver regeneration and tissue unit formation

Read More  

UNMACRODYN (2019)

Uncertainty shocks, inflation dynamics and monetary policy

Read More  

BIOplasma (2019)

Use flexible Tube Micro Plasma (FµTP) for Lipidomics

Read More