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marker-assisted selection in wheat - ictsd

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Chapter 6 – Targeted <strong>in</strong>trogression of cotton fibre quality quantitative trait loci us<strong>in</strong>g molecular <strong>marker</strong>s 69INtroductionAmong the four species of Gossypium thatproduce seeds with sp<strong>in</strong>nable fibres calledcotton, Gossypium hirsutum dom<strong>in</strong>ates theworld’s cotton fibre production, account<strong>in</strong>gfor approximately 90 percent of total worldproduction. The second most cultivated species,G. barbadense, <strong>in</strong>cludes superior extralong, strong and f<strong>in</strong>e cottons. However,compared with G. hirsutum, the market<strong>in</strong>gadvantage of “high quality” G. barbadensecottons is offset by their lower productivityand a narrower adaptability to harshenvironments. Breed<strong>in</strong>g approaches with<strong>in</strong>these two species have essentially relied onhybridization and <strong>selection</strong> methods (subsequentto simple or complex crosses, apedigree system, sometimes comb<strong>in</strong>ed withrecurrent <strong>selection</strong>, is applied). AlthoughG. hirsutum and G. barbadense displaycomplementary characteristics, attempts toutilize deliberate <strong>in</strong>terspecific G. hirsutum/G. barbadense recomb<strong>in</strong>ations throughconventional breed<strong>in</strong>g have had limitedimpact on cultivar development.In the past 10–15 years, DNA <strong>marker</strong>sfor analyses of QTL and MAS have receivedconsiderable attention by plant and animalbreeders (Dekkers and Hospital, 2002).However, follow<strong>in</strong>g an <strong>in</strong>itial keen <strong>in</strong>terestand promises for molecular-based breed<strong>in</strong>gapproaches, the successful application ofthis technology has been shown to dependon the reliability and accuracy of the QTLanalyses, which <strong>in</strong> turn are strongly affectedby both population size and environmentalfactors (Schön et al., 2004). Examples ofapplied MAS <strong>in</strong> breed<strong>in</strong>g programmes arestill scarce, particularly when complextraits (yield components, product quality)are under consideration.In the case of cotton, it is only recentlythat the results of efforts to ga<strong>in</strong> a betterunderstand<strong>in</strong>g of the genome and themolecular basis of fibre quality have beenpublished. Most of the earlier efforts <strong>in</strong>cotton molecular breed<strong>in</strong>g concentratedon <strong>in</strong>terspecific hybridization, due to thefact that, <strong>in</strong>traspecifically, the major speciesG. hirsutum displayed a very lowlevel of molecular variability (Brubakerand Wendel, 2001). Based on studies of<strong>in</strong>terspecific G. hirsutum x G. barbadensepopulations, published reports relate (i) tothe construction of high-resolution geneticmaps (Lacape et al., 2003; Rong et al.,2004); and (ii) to the identification of fibrequality-related QTL (Jiang et al., 1998;Kohel et al., 2001; Paterson et al., 2003;Lacape et al., 2005). In parallel, data haveaccumulated describ<strong>in</strong>g the cotton fibretranscriptome (reviewed by Wilk<strong>in</strong>s andArpat, 2005). These studies confirmed thatkey fibre quality properties, such as length,f<strong>in</strong>eness and strength, are controlled quantitatively,thus complicat<strong>in</strong>g conventionalbreed<strong>in</strong>g for fibre improvement.With<strong>in</strong> the framework of a <strong>marker</strong>-<strong>assisted</strong>backcross <strong>in</strong>trogression scheme aimed attransferr<strong>in</strong>g fibre quality traits from a lowproductivityl<strong>in</strong>e of G. barbadense (donor)<strong>in</strong>to a productive l<strong>in</strong>e of G. hirsutum (recipient),a saturated genetic map of tetraploidcotton was first developed (Lacape et al.,2003). This chapter describes how molecular<strong>marker</strong>s were used <strong>in</strong> the early BC 1 and BC 2generations to identify QTL-rich regions<strong>in</strong>volved <strong>in</strong> determ<strong>in</strong><strong>in</strong>g fibre quality, asrecently reported by Lacape et al. (2005),and how MAS was actually implemented <strong>in</strong>the later BC 3 and BC 4 generations.MethodologyThe major milestones (Figure 1) <strong>in</strong> the<strong>marker</strong>-<strong>assisted</strong> backcross <strong>selection</strong> process<strong>in</strong>cluded the construction of two geneticmaps from the BC 1 and BC 2 populations,the detection of fibre quality QTL from

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