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marker-assisted selection in wheat - ictsd

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392Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishfor the purposes of this chapter it is importantto po<strong>in</strong>t out that although establish<strong>in</strong>gcapacity to develop new molecular <strong>marker</strong>srequires substantial <strong>in</strong>vestment, establish<strong>in</strong>gthe capacity to use freely available exist<strong>in</strong>gmolecular <strong>marker</strong>s requires only a modest<strong>in</strong>vestment.Variable cost of MASAt CIMMYT the capacity to carry outMAS on a reasonable scale has been developed,but the need now is to make thetechnology work on a high-throughputscale to reduce the cost per data po<strong>in</strong>t,while be<strong>in</strong>g able to handle large quantitiesof assays per grow<strong>in</strong>g season. In this regard,there are several challenges to consideras <strong>marker</strong>s are not always cost-effectiveeven when they improve the precision of<strong>selection</strong>. Depend<strong>in</strong>g on the nature of thetarget trait (quantitative or qualitative), thetype of gene (major or m<strong>in</strong>or), the form ofgene action that controls expression of thetrait (dom<strong>in</strong>ant or recessive effect), and theease with which the trait can be measured(visually detected or more expensive fieldor laboratory analysis required), conventional<strong>selection</strong> may be cheaper than MAS.The desirability of us<strong>in</strong>g genetic <strong>marker</strong>stherefore depends <strong>in</strong> part on the costsof genotypic versus phenotypic screen<strong>in</strong>g,which vary among applications.Information about the cost of us<strong>in</strong>gMAS at CIMMYT for specific breed<strong>in</strong>gprojects is available from case studies.For example, Dreher et al. (2002, 2003)exam<strong>in</strong>ed the costs and benefits of us<strong>in</strong>gMAS for a common application <strong>in</strong> maizebreed<strong>in</strong>g. This study generated three noteworthyconclusions.First, for any given breed<strong>in</strong>g project,detailed budget analysis is needed todeterm<strong>in</strong>e the cost-effectiveness of MASrelative to conventional <strong>selection</strong> methods.Although the costs of field operations andlaboratory procedures required for molecular<strong>marker</strong> analysis may rema<strong>in</strong> relativelyconstant across applications, every breed<strong>in</strong>gproject is likely to <strong>in</strong>volve unique phenotypicevaluation procedures whose costswill frequently differ.Second, direct comparisons of unitcosts for phenotypic and genotypic analysisprovide useful <strong>in</strong>formation to researchmanagers, but <strong>in</strong> many cases technologydecisions are not made solely on the basisof cost. Factors other than cost often <strong>in</strong>fluencethe choice of screen<strong>in</strong>g methods. Timeconsiderations are often critical, as genotypicand phenotypic screen<strong>in</strong>g methodsmay differ <strong>in</strong> their time requirements. Evenwhen labour requirements are similar, forapplications <strong>in</strong> which phenotypic screen<strong>in</strong>grequires samples of mature gra<strong>in</strong>, genotypicscreen<strong>in</strong>g can often be completed muchearlier <strong>in</strong> the plant growth cycle.Third, conventional and MAS methodsare not always direct substitutes. Us<strong>in</strong>gmolecular <strong>marker</strong>s, breeders may be ableto obta<strong>in</strong> more <strong>in</strong>formation about what isgo<strong>in</strong>g on at the genotypic level than they canobta<strong>in</strong> us<strong>in</strong>g phenotypic screen<strong>in</strong>g methods.For example, <strong>in</strong> conventional backcrossbreed<strong>in</strong>g or l<strong>in</strong>e conversion projects (seesection Manipulation of qualitative traits),background molecular <strong>marker</strong>s can be usedto identify those plants among a set ofprogeny that not only possess a desirableallele but also closely resemble the recurrentparent at the genetic level. Based onthis additional <strong>in</strong>formation, breeders areoften able to modify their entire breed<strong>in</strong>gstrategy, with potentially significantimplications <strong>in</strong> terms of cost and/or timerequirements (this issue is discussed <strong>in</strong> thenext section).The CIMMYT case study thus confirmedwhat many practis<strong>in</strong>g plant breeders

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