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marker-assisted selection in wheat - ictsd

marker-assisted selection in wheat - ictsd

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332Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fish10 percent for body weight <strong>in</strong> a breed<strong>in</strong>gprogramme for coho salmon (CMG-IFOP)<strong>in</strong>itially funded by FAO (Mart<strong>in</strong>ez andHidalgo, unpublished data), and a similarresponse was obta<strong>in</strong>ed for this species <strong>in</strong>the United States of America (Hershbergeret al., 1990). Estimates for tilapia followlargely the same trend, with a response ofabout 10 percent (Ponzoni et al., 2005). Incommon carp, responses to <strong>selection</strong> forbody weight were <strong>in</strong>consistent between upselectedand down-selected l<strong>in</strong>es, althoughexhaustion of additive genetic variationfor <strong>in</strong>creased growth rate, genotype-byenvironment<strong>in</strong>teraction, or competitioneffects could not be ruled out (Moav andWohlfarth, 1976). In oysters, asymmetricalresponse to <strong>selection</strong> for body weight wasfound (Toro et al., 1995; Ward, English andMcGoldrick, 2000).Although responses to <strong>selection</strong> havenot been well documented, significant estimatesof genetic parameters have beenobta<strong>in</strong>ed for carcass traits (Gjerde andSchaeffer, 1989; Kause et al., 2002; Qu<strong>in</strong>ton,McMillan and Glebe, 2005) and diseaseresistance (Gjøen et al., 1997; Henryon etal., 2002, 2005). Rates of genetic ga<strong>in</strong> areexpected to be lower for these traits thanfor body weight because breed<strong>in</strong>g valuepredictions rely solely on measurementsfrom relatives.Several breed<strong>in</strong>g programmes have been<strong>in</strong>itiated recently for new aquaculture species,such as mussels, scallops, Artemia andshrimp. The biology of these species poses<strong>in</strong>terest<strong>in</strong>g avenues for the design of conventionalbreed<strong>in</strong>g programmes, tak<strong>in</strong>g <strong>in</strong>toaccount factors such as self-fertilization,<strong>in</strong>trafamily competition, cannibalism, lackof methods for physical tagg<strong>in</strong>g, and mat<strong>in</strong>gpreferences. For example, competition canaffect the expression of quantitative traitsdue to co-variances among members of agroup managed together <strong>in</strong> a pond or tankand, if not considered properly, this effectcan seriously affect the rates of response to<strong>selection</strong> (Muir, 2005). However, this effectcan be <strong>in</strong>cluded explicitly <strong>in</strong> the model ofanalysis us<strong>in</strong>g the co-variance among membersof a group, the so-called “associativeeffects” from other genotypes <strong>in</strong> the group.The theory of Griff<strong>in</strong>g (1967) for BLUPevaluation was developed <strong>in</strong> the context oftree breed<strong>in</strong>g, but deserves further <strong>in</strong>vestigation<strong>in</strong> the analysis of fish and shellfishbreed<strong>in</strong>g. This may be especially true forspecies taken recently from the wild orthose that show cannibalistic behaviour.Another recent example is the developmentof scallop breed<strong>in</strong>g programmes.Argopecten purpuratus is a simultaneouslyhermaphroditic species. In the first breed<strong>in</strong>gphase, the scallop liberates sperm, afterwhich the eggs are expelled. To decreasethe level of self-fertilization, it is customaryto use only the last pulses of eggs. Thissystem reduces rates of self-fertilizationto 20 percent (A. Vergara, personal communication),but a residual proportion ofeggs are still already fertilized with spermfrom the same <strong>in</strong>dividual. As this processoccurs with<strong>in</strong> the reproductive tract, itis not possible to detect which <strong>in</strong>dividualsare selfed or outcrossed, althoughthe rate of residual self-fertilization varieswidely among families and produces biasedestimates of heritability (Mart<strong>in</strong>ez and diGiovanni, 2006). Information from molecular<strong>marker</strong>s can be of benefit under thesecircumstances (see below).DNA <strong>marker</strong>s used <strong>in</strong> aquacultureMutations <strong>in</strong> the genome create geneticvariability (or polymorphism), whichis reflected as allelic diversity of molecular<strong>marker</strong>s. While genomic sequenc<strong>in</strong>gwould greatly facilitate the development

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