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marker-assisted selection in wheat - ictsd

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172Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishbecause it has undergone only one generationof recomb<strong>in</strong>ation <strong>in</strong> the F 2 (Figure 1).Thus, although these <strong>marker</strong>s may be <strong>in</strong>LE with QTL with<strong>in</strong> the parental breeds,they will be <strong>in</strong> partial LD with the QTL<strong>in</strong> the crossbred population if the <strong>marker</strong>and QTL differ <strong>in</strong> frequency between thebreeds. This population-wide LD enablesdetection of QTL that differ between theparental breeds based on a genome scanwith only a limited number of <strong>marker</strong>sspread over the genome (~ every 15 to20 cM). This approach has formed the basisfor the extensive use of F 2 or backcrossesbetween breeds or l<strong>in</strong>es for QTL detection,<strong>in</strong> particular <strong>in</strong> pigs, poultry and beef cattle(see Andersson, 2001 for a review). Theextensive LD enables detection of QTLthat are some distance from the <strong>marker</strong>sbut also limits the accuracy (map resolution)with which the position of the QTLcan be determ<strong>in</strong>ed.More extensive population-wide LD isalso expected to exist <strong>in</strong> synthetic l<strong>in</strong>es,i.e. l<strong>in</strong>es that were created from a cross <strong>in</strong>recent history. These can be set up on anexperimental basis through advanced <strong>in</strong>tercrossl<strong>in</strong>es (Darvasi and Soller, 1995) orbe available as commercial breed<strong>in</strong>g l<strong>in</strong>es.Depend<strong>in</strong>g on the number of generationss<strong>in</strong>ce the cross, the extent of LD will haveeroded over generations and will, therefore,span shorter distances than <strong>in</strong> F 2 populations(Figure 1). This will require a moredense <strong>marker</strong> map to scan the genome withequivalent power as <strong>in</strong> an F 2 but will enablemore precise position<strong>in</strong>g of the QTL.QTL detection us<strong>in</strong>g LE <strong>marker</strong>s <strong>in</strong>outbred populationsAs l<strong>in</strong>kage phases between the <strong>marker</strong>and QTL can differ from family to family,use of with<strong>in</strong>-family LD for QTL detectionrequires QTL effects to be fitted on awith<strong>in</strong>-family basis, rather than across thepopulation. Similar to F 2 or backcrosses,the extent of with<strong>in</strong>-family LD is extensiveand, thus, genome-wide coverage is providedby a limited number of <strong>marker</strong>s butsignificant <strong>marker</strong>s may be some distancefrom the QTL, result<strong>in</strong>g <strong>in</strong> poor map resolution.Thus, LE <strong>marker</strong>s can be readilydetected on a genome-wide basis us<strong>in</strong>glarge half-sib families, requir<strong>in</strong>g only sparse<strong>marker</strong> maps (~15 to 20 cM spac<strong>in</strong>g). Manyexamples of successful applications of thismethodology for detection of QTL regionsare available <strong>in</strong> the literature, <strong>in</strong> particularfor dairy cattle, utiliz<strong>in</strong>g the large paternalhalf-sib structures that are available throughextensive use of artificial <strong>in</strong>sem<strong>in</strong>ation (seeWeller, Chapter 12).QTL detection us<strong>in</strong>g LE <strong>marker</strong>s canalso be applied to extended pedigrees bymodell<strong>in</strong>g the co-segregation of <strong>marker</strong>sand QTL (Fernando and Grossman, 1989).These approaches use statistical modelsthat are described further <strong>in</strong> the sectionon genetic evaluation us<strong>in</strong>g LE <strong>marker</strong>s.Depend<strong>in</strong>g on the number of generationswith phenotypes and <strong>marker</strong> genotypesthat are <strong>in</strong>cluded <strong>in</strong> the analysis, map resolutionwill be better than with analysis ofhalf-sib families because multiple rounds ofrecomb<strong>in</strong>ation are <strong>in</strong>cluded <strong>in</strong> the data set.QTL detection us<strong>in</strong>g LD <strong>marker</strong>s <strong>in</strong>outbred populationsThe amount and extent of LD that exists<strong>in</strong> the populations that are used for geneticimprovement are the net result of all forcesthat create and break down LD and are,therefore, the result of the breed<strong>in</strong>g and<strong>selection</strong> history of each population, alongwith random sampl<strong>in</strong>g. On this basis, populationsthat have been closed for manygenerations are expected to be <strong>in</strong> l<strong>in</strong>kageequilibrium, except for closely l<strong>in</strong>ked loci.

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