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marker-assisted selection in wheat - ictsd

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456Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishknow that <strong>in</strong>vestments <strong>in</strong> staff and <strong>in</strong>frastructurefor the “molecular component”of MAS are wasted if they are not l<strong>in</strong>ked tothe “breed<strong>in</strong>g and <strong>selection</strong>” components.Apart from countries with technologicallyadvanced NARES (Type 1 and Type2 described by Byerlee and Fischer, 2001),gett<strong>in</strong>g all of the above elements together isa big task for the vast majority of develop<strong>in</strong>gcountries, particularly aga<strong>in</strong>st the backgroundof current and often deteriorat<strong>in</strong>glevels of public fund<strong>in</strong>g for agriculturalR&D (Pardey et al., 2006). So big <strong>in</strong>deedthat, while recogniz<strong>in</strong>g the need/opportunitiesfor molecular MAS, they mayconsider, <strong>in</strong> the first <strong>in</strong>stance, other veryvaluable applications of molecular-basedtechniques such as the polymerase cha<strong>in</strong>reaction (PCR) for plant, livestock and fishdisease diagnosis (see, for example, Viljoen,Nel and Crowther, 2005), estimat<strong>in</strong>g geneticdistances between varieties, stra<strong>in</strong>s, l<strong>in</strong>esand breeds, conduct<strong>in</strong>g variety and parentagetest<strong>in</strong>g (De Vicente, 2004; Chapters14 and 17) and for GMO characterizationand detection. These applications are notconsidered further here s<strong>in</strong>ce they fall outsidethe core subject matter of this book.Also, while recogniz<strong>in</strong>g the <strong>in</strong>creas<strong>in</strong>g roleof the private sector, the options describedbelow for pursu<strong>in</strong>g MAS are based on theassumption that the public sector will cont<strong>in</strong>ueto be the major <strong>in</strong>vestor <strong>in</strong> R&Dfor small-scale producers and <strong>in</strong>creas<strong>in</strong>gthe access of poorer sections of society toaffordable food and agricultural products.Additional options are available throughpublic–private partnerships and these arediscussed later.A f<strong>in</strong>al consideration is that, unlike thedevelopment and release of GMOs, MASdoes not require the establishment andthe enforcement of a specific legislativeframework. Apart from avoid<strong>in</strong>g the needfor specific capacities <strong>in</strong> public adm<strong>in</strong>istration,this certa<strong>in</strong>ly reduces the f<strong>in</strong>alcosts of adopt<strong>in</strong>g MAS-derived varietiesand breeds.Priority sett<strong>in</strong>g for MASTarget<strong>in</strong>g the farm<strong>in</strong>g systems, speciesand traits l<strong>in</strong>ked most to poverty andhungerInvest<strong>in</strong>g <strong>in</strong> MAS has to be based on strik<strong>in</strong>gan appropriate balance between needs andopportunities for combat<strong>in</strong>g hunger andpoverty through genetic enhancement.Essential to that process is determ<strong>in</strong><strong>in</strong>gwhere the greatest concentration of povertyand hunger exists and the causal factors.There are essentially four approaches forpursu<strong>in</strong>g this.• Poverty and hunger mapp<strong>in</strong>gAlthough still relatively new, this approachis ga<strong>in</strong><strong>in</strong>g <strong>in</strong>creas<strong>in</strong>g acceptance <strong>in</strong> nationaland <strong>in</strong>ternational development circles. Oneof the major challenges faced by all countries<strong>in</strong> target<strong>in</strong>g their development, andhence research efforts, towards the food<strong>in</strong>secure and poor lies <strong>in</strong> the diversity oftheir farm<strong>in</strong>g systems and socio-economicconditions. However, us<strong>in</strong>g a comb<strong>in</strong>ationof survey and census <strong>in</strong>formation(e.g. household surveys), adm<strong>in</strong>istrativedata (e.g. markets, roads), geographical<strong>in</strong>formation systems (GIS) and small areaestimation maps, it is becom<strong>in</strong>g <strong>in</strong>creas<strong>in</strong>glypossible to develop correlations andmaps that l<strong>in</strong>k population densities, welfaredata and crop and livestock production andlivelihood systems; <strong>in</strong> effect, to p<strong>in</strong>po<strong>in</strong>twhere poor people live and the productionand livelihood systems associated with highlevels of poverty.Increas<strong>in</strong>gly, through programmes suchas the Inter-Agency Programme on FoodInsecurity and Vulnerability Information

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