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marker-assisted selection in wheat - ictsd

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314Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishTable 2Known <strong>marker</strong>-QTL l<strong>in</strong>kages <strong>in</strong> aquaculture speciesTraitReferenceSalmonidsSpawn<strong>in</strong>g time Leder, Danzmann and Ferguson (2006)Early development Mart<strong>in</strong>ez et al. (2005)Pyloric caeca number Zimmerman et al. (2005)Natural killer cell-like activity Zimmerman et al. (2004)Hematopoetic necrosis resistance Rodriguez et al. (2005)Development rate Sund<strong>in</strong> et al. (2005)Infectious salmon anemia resistance Moen et al. (2004c, 2006)Ceratomyxa shasta resistance Nichols, Bartholomew and Thorgaard (2003)Infectious pancreatic necrosis resistance Ozaki et al. (2001)Infectious hematopoietic necrosis resistance Khoo et al. (2004)Body weight and condition factor Reid et al. (2005)Spawn<strong>in</strong>g date and body weight O’Malley et al. (2003)Growth and maturation Martyniuk et al. (2003)Temperature tolerance Somorjai, Danzmann and Ferguson (2003)Meristic traits Nichols, Wheeler and Thorgaard (2004)Embryonic development Robison et al. (2001)Alb<strong>in</strong>ism Nakamura et al. (2001)Development rate Nichols et al. (2000)Spawn<strong>in</strong>g time Sakamoto et al. (1999)Upper temperature tolerance, size Perry et al. (2001, 2003)Upper temperature tolerance Danzmann, Jackson and Ferguson (1999)Upper temperature tolerance Jackson et al. (1998)TilapiaCold toleranceMoen et al. (2004b)Cold tolerance and fish size Cnaani et al. (2003)Stress and immune response Cnaani et al. (2004)Colour pattern Streelman, Albertson and Kocher (2003)Early survival Palti et al. (2002)Sex determ<strong>in</strong>ation Lee, Penman and Kocher (2003); Lee, Hulata and Kocher (2004)salmonids (Zimmerman et al., 2004). Thedata used for quantify<strong>in</strong>g disease resistanceand temperature tolerance traits are oftenbased on challenge tests, for which modelsaccount<strong>in</strong>g for non-normality of data andspecial algorithms that take account ofcensored data (survival models) are used<strong>in</strong> comb<strong>in</strong>ation with the QTL mapp<strong>in</strong>gmethods (e.g. Moen et al., 2006). In salmonids,QTL have been found related tobody weight and size (Martyniuk et al.,2003; O’Malley et al., 2003; Reid et al.,2005), for colouration pattern (Streelman,Albertson and Kocher, 2003) and for oneform of alb<strong>in</strong>ism (Nakamura et al., 2001).Zimmerman et al. (2005) found QTL forpyloric caeca number, a trait related tofeed conversion efficiency. Epistasis hasbeen found for upper temperature toleranceand body length <strong>in</strong> ra<strong>in</strong>bow trout(Danzmann, Jackson and Ferguson, 1999;Perry, Ferguson and Danzmann, 2003); theepistasis depended on the genetic background,which would result <strong>in</strong> reducedeffectiveness of MAS (Danzmann, Jacksonand Ferguson, 1999).The genetic diversity of wild and culturedpopulations, high fecundity, and thepossibility of <strong>in</strong>terspecific hybridization andreproductive manipulation of aquaculturespecies can be exploited <strong>in</strong> QTL mapp<strong>in</strong>gstudies. These features have resulted <strong>in</strong> a

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