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marker-assisted selection in wheat - ictsd

marker-assisted selection in wheat - ictsd

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Chapter 19 – Technical, economic and policy considerations on <strong>marker</strong>-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> crops 383IntroductionDue to their usefulness <strong>in</strong> characteriz<strong>in</strong>gand manipulat<strong>in</strong>g genetic factors responsiblefor qualitative as well as quantitativetraits, molecular <strong>marker</strong>s are considered tobe valuable tools for crop improvement.These uses of molecular <strong>marker</strong>s have been<strong>in</strong>valuable <strong>in</strong> help<strong>in</strong>g researchers understandcomplex traits, dissect them <strong>in</strong>tos<strong>in</strong>gle Mendelian genetic factors, and establishtheir chromosomal locations via the useof l<strong>in</strong>kage maps and/or cytogenetic stocks.Availability of well characterized geneticl<strong>in</strong>kage maps is a prerequisite for tagg<strong>in</strong>gimportant agronomic or other traits withmolecular <strong>marker</strong>s, enabl<strong>in</strong>g their use <strong>in</strong>MAS related activities. To date, however,few practical applications have been publishedfrom these studies. This paucity ofpublished studies may <strong>in</strong>dicate the longtermnature of this research, or it mightsimply reflect the fact that <strong>marker</strong> technologyhas been applied to plant breed<strong>in</strong>gefforts mostly by scientists work<strong>in</strong>g <strong>in</strong> theprivate sector (Hois<strong>in</strong>gton and Melch<strong>in</strong>ger,2004).Maize was one of the first crop speciesfor which molecular l<strong>in</strong>kage maps weredeveloped, and Gard<strong>in</strong>er et al. (1993)consolidated several <strong>in</strong>dividual maps <strong>in</strong>to aconsensus map. Rice is another species forwhich high-density l<strong>in</strong>kage maps have beendeveloped (reviewed <strong>in</strong> Gowda et al., 2003)while, due to its high ploidy level and largegenome (21 l<strong>in</strong>kage groups, as opposed to 10<strong>in</strong> maize and 12 <strong>in</strong> rice), efforts to developwell characterized, saturated l<strong>in</strong>kage mapswith <strong>wheat</strong> have lagged beh<strong>in</strong>d. Otherimportant cereals and legumes are at variousstages of l<strong>in</strong>kage map development. Theavailability of well-def<strong>in</strong>ed l<strong>in</strong>kage mapsand the extent of genetic studies conductedon them therefore vary among differentcrops, and this <strong>in</strong>fluences the feasibility ofany MAS-related activity. Thus, while it ispossible to carry out MAS to some degree<strong>in</strong> cereals such as rice, maize and <strong>wheat</strong>, and<strong>in</strong> legumes such as soybean, for species suchas cassava and sweet potato, the so-called“orphan crops”, genetic improvement withMAS may not yet be feasible. These cropspecies may benefit more readily fromgenetic modification aris<strong>in</strong>g from direct<strong>in</strong>troduction of genes isolated from otherspecies or organisms, which is not the focusof this chapter.Cit<strong>in</strong>g practical lessons learned atthe International Maize and WheatImprovement Center (CIMMYT) as well asf<strong>in</strong>d<strong>in</strong>gs of studies conducted elsewhere, thischapter describes some actual and potentialapplications as well as the advantages anddisadvantages of MAS, and outl<strong>in</strong>es possibleapplications of MAS <strong>in</strong> develop<strong>in</strong>gcountry plant breed<strong>in</strong>g programmes.Lessons Learned from CropsNumerous scientific reports describemolecular mapp<strong>in</strong>g and analysis of quantitativetrait loci (QTL) for nearly everyagronomic trait <strong>in</strong> a diverse array of cropspecies. The traits covered <strong>in</strong>clude manyparameters associated with tolerance todrought and other abiotic stresses, maturity,plant height, quality parameters, qualitativeand quantitative factors of disease and pestresistance, and numerous seed traits andyield. Although these efforts have resulted<strong>in</strong> a vast amount of knowledge and betterunderstand<strong>in</strong>g of the underly<strong>in</strong>g geneticfactors that control these traits, applicationof this knowledge to manipulate genes <strong>in</strong> aneffective or simple manner for improv<strong>in</strong>gcrop species has had limited success. Thescientific community is faced with thechallenges of accurate and precise QTLidentification and application of the <strong>in</strong>formationderived to successful MAS efforts.

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