ALFALFAEVOLUTION

Adaptation and evolution of wild alfalfa: a genomic approach

 Coordinatore GOETEBORGS UNIVERSITET 

 Organization address address: VASAPARKEN
city: GOETEBORG
postcode: 405 30

contact info
Titolo: Dr.
Nome: Maria
Cognome: Enge
Email: send email
Telefono: 46317866473

 Nazionalità Coordinatore Sweden [SE]
 Totale costo 197˙811 €
 EC contributo 197˙811 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2013-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-05-01   -   2016-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    GOETEBORGS UNIVERSITET

 Organization address address: VASAPARKEN
city: GOETEBORG
postcode: 405 30

contact info
Titolo: Dr.
Nome: Maria
Cognome: Enge
Email: send email
Telefono: 46317866473

SE (GOETEBORG) coordinator 197˙811.60

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

gene    intraspecific    forces    flow    medicago    taxa    population    species       human    wild    genetic    sativa    populations    alfalfa   

 Obiettivo del progetto (Objective)

'The Eurasian genus Medicago is best known for the perennial species M. sativa (alfalfa). Alfalfa is the world’s oldest, most important, and most intensively studied fodder crop. There is huge promise for extending the importance of alfalfa well beyond its present primary use as a feed for livestock. This species has potential uses in several domains such as: pharmaceuticals, biodegradable plastics, biofuels, textiles, and human nourishing. Medicago sativa is a polymorphic species with a variation pattern that has been complicated by hybridization and gene flow, mediated naturally or by human forces. We aim to develop a new population genomic approach to disentangle complex processes such as population divergences, migration and hybridisation/introgression among intraspecific diploid populations in a spatial and temporal framework. Specifically, this project aim to: (i) determine the genetic structure within Medicago sativa in order to characterize discrete wild genetic pools (populations) of this economically important plant species; (ii) investigate the relationships among the distinct M. sativa populations and taxa; (iii) identify geographical origin of M. sativa intraspecific taxa and the forces driving their spread; and (iv) investigate ecological adaptation in wild populations connected by gene flow in order to establish a basis for future breeding programmes.'

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