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marker-assisted selection in wheat - ictsd

marker-assisted selection in wheat - ictsd

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Chapter 7 – Marker-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> common beans and cassava 95and plants represent<strong>in</strong>g them through thedifferent stages. Table 1 also provides an ideaof the <strong>selection</strong> pressures generally applied.Strong emphasis on highly heritabletraits (plant type, branch<strong>in</strong>g habits andreaction to diseases, harvest <strong>in</strong>dex and drymatter content) is applied dur<strong>in</strong>g the earlyphases of <strong>selection</strong> (F 1 and CET), (Hahn,Howland and Terry, 1980; Hahn, Terry andLeuschner, 1980; Hershey, 1984; Kawano,2003; Ceballos et al., 2004). As the numberof plants represent<strong>in</strong>g each genotype<strong>in</strong>creases, the weight of <strong>selection</strong> criteriashifts towards low heritability traits suchas root yield. The clones that show outstand<strong>in</strong>gperformance <strong>in</strong> the regional trialsare released as new varieties and, eventually,<strong>in</strong>corporated as parents <strong>in</strong> the cross<strong>in</strong>gnurseries. With that the <strong>selection</strong> cycle isf<strong>in</strong>ished and a new one beg<strong>in</strong>s. The wholeprocess has the follow<strong>in</strong>g characteristics(Ceballos et al., 2004):• the process is <strong>in</strong>deed phenotypic <strong>selection</strong>because no family data are <strong>in</strong>volved;• no data are collected <strong>in</strong> the early stagesof <strong>selection</strong>. Therefore, data regard<strong>in</strong>ggeneral comb<strong>in</strong><strong>in</strong>g ability effects(∼ breed<strong>in</strong>g value) are not available for abetter <strong>selection</strong> of parental materials;• there is no proper separation betweengeneral (GCA ∼ additive) and specific(SCA ∼ heterotic) comb<strong>in</strong><strong>in</strong>g abilityeffects. The outstand<strong>in</strong>g performanceof selected materials is likely to dependon positive heterotic effects that cannotbe transferred to the progenies that aresexually derived from them;• no <strong>in</strong>breed<strong>in</strong>g is <strong>in</strong>corporated purposely<strong>in</strong> the <strong>selection</strong> process. Therefore,large genetic loads are likely to rema<strong>in</strong>hidden <strong>in</strong> cassava populations and usefulrecessive traits are difficult to detect;• several stages of <strong>selection</strong> are based onunreplicated trials. A large proportion ofgenotypes is elim<strong>in</strong>ated without properevaluation.For the above-mentioned reasons, cassavabreed<strong>in</strong>g is difficult, expensive andto a certa<strong>in</strong> degree <strong>in</strong>efficient (Perez et al.,2005a; Cach et al., 2005a, b). Kawano et al.(1998) mention that, dur<strong>in</strong>g a 14-year periodabout 372 000 genotypes derived from4 130 crosses were evaluated at the CIAT-Rayong Field Crop Research Center. Onlythree genotypes emerged from the <strong>selection</strong>process to be released as official varieties.Similar experiences have been observedat the International Institute of TropicalAgriculture (IITA), CIAT-Colombia andBrazil. Therefore, the development andadaptation of molecular tools for cassavagenetic improvement offer importantadvantages to make the process more efficientand effective.MAS <strong>in</strong> cassava breed<strong>in</strong>gCassava genetic improvement can be mademore efficient through the use of easilyassayable molecular genetic or DNA<strong>marker</strong>s (MAS) that enable the preciseidentification of genotype without theconfound<strong>in</strong>g effect of the environment,thereby <strong>in</strong>creas<strong>in</strong>g heritability. MAS canalso contribute to the efficient reduction oflarge breed<strong>in</strong>g populations at the seedl<strong>in</strong>gstage based upon “m<strong>in</strong>imum <strong>selection</strong> criteria”.This is particularly important giventhe length of the grow<strong>in</strong>g cycle of cassavaand the expense <strong>in</strong>volved <strong>in</strong> the evaluationprocess. Therefore, a pre-<strong>selection</strong> at the F 1phase (see Table 1) could greatly enhancethe efficiency of the CET experiments.The <strong>selection</strong> of progenies based on geneticvalues derived from molecular <strong>marker</strong> datasubstantially <strong>in</strong>creases the rate of geneticga<strong>in</strong>, especially if the number of cycles ofevaluation or generations can be reduced(Meuwissen, Hayes and Goddard, 2001).

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