Major results and research challenges in cotton molecular genetics at Cirad (France)

CIRAD (Montpellier, France) develops research activities centered on tropical and sub-tropical agricultural systems. Among others crops, cotton is the fucus of a series of research programs in different disciplines from economics to breeding. Major areas in genetics and breeding relate to (1) genetic diversity, (2) cultivar development through classical and molecular breeding, and (3) applied genomics. An important but under-exploited reservoir of genetic diversity exists within the genus Gossypium. With over 3000 accessions CIRAD has one of the few important gene banks worldwide. It includes cultivars, landraces , and wild Gossypiurn species. DNA molecular markeTs have shawn their usefulness and validity for fingerprinting plant resources and for structuring diversity of large collections. In our case, after a preliminary step centered on the screening of microsatellite markers over a limited set of accessions of the gene bank (a genotyping kit has been proposed) , our future plans include the use of high-throughput methods of genotyping (a DArT platform will soon be available in our unit). Opportunities for exploiting this large diversity relate to the development core-collections and of genetic association studies for a given set of traits (fiber quality, stress response) . After a past and fruitful period of collaboration in different tropical countries (varieties co-obtained by ClRAD are cultivated on over 2. 5 million hectares worldwide), CIRAD has more recently engaged research programs in molecular genetics. Focus has initially been on fiber quality as a target trait and on markerassisted interspecific breeding for introgressing fiber quality traits from G. barbadense into G. hirsutUtn. Achievements in this area (genetic maps, fiber quality QTLs) have been published and are posted on the web. The database of CIRAD, TropGene DB (available at http, lltropgenedb. cirad. h l ) is regularly updated and presently displays various genetic maps as well as QTL data.