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marker-assisted selection in wheat - ictsd

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Chapter 13 – Marker-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> sheep and goats 233a significant return on overall <strong>in</strong>vestment <strong>in</strong>genetic improvement. Also, <strong>in</strong> some moreadvanced sheep breed<strong>in</strong>g programmes,the use of artificial <strong>in</strong>sem<strong>in</strong>ation (AI) andacross-flock evaluation has boosted the useof high profile rams and raised the value of<strong>in</strong>dividual breed<strong>in</strong>g animals.The ma<strong>in</strong> <strong>in</strong>vestment <strong>in</strong> breed<strong>in</strong>g programmesis for performance record<strong>in</strong>g.The extent of trait measurement is oftenquite closely aligned with the <strong>in</strong>tensity ofthe production system. Input levels forsheep production vary, depend<strong>in</strong>g on breedtype and market. In Australia, for example,there is a significant difference betweenwool produc<strong>in</strong>g Mer<strong>in</strong>o sheep that arekept extensively <strong>in</strong> harsh environments,and more <strong>in</strong>tensive lamb production systemsthat are found <strong>in</strong> higher ra<strong>in</strong>fall areasor on irrigated land. The proportion ofbreed<strong>in</strong>g flocks for which objective traitand pedigree measurements are undertakenis relatively much higher <strong>in</strong> the Australianterm<strong>in</strong>al sire breeds.Selection takes place with<strong>in</strong> the breed<strong>in</strong>gstuds. AI is common <strong>in</strong> the stud breed<strong>in</strong>gsector, enabl<strong>in</strong>g the genetic l<strong>in</strong>kage of flocks.There are breeder groups with organizedprogeny test<strong>in</strong>g of young sires across flockprogrammes. In Australia, a national geneticevaluation system known as “Lambplan”has driven genetic evaluation for term<strong>in</strong>alsires and maternal breeds across flocks formore than a decade. Breeders as well as rambuyers are <strong>in</strong>creas<strong>in</strong>gly bas<strong>in</strong>g their ramassessment on estimated breed<strong>in</strong>g value(EBV) or dollar <strong>in</strong>dex value. Such a systemgives breeders <strong>in</strong>centives to <strong>in</strong>vest <strong>in</strong> traitmeasurement and to create genetic l<strong>in</strong>ksbetween their flocks, otherwise it wouldbe difficult for a ram to rise to the top ofthe across-flock EBV list. Hence, there is<strong>in</strong>creas<strong>in</strong>gly an exchange of genetic materialbetween flocks, ma<strong>in</strong>ly through the useof AI. Obviously, such a breed<strong>in</strong>g structurewould be more conducive to breeders<strong>in</strong>vest<strong>in</strong>g <strong>in</strong> gene <strong>marker</strong> technology.By contrast, the Australian Mer<strong>in</strong>o<strong>in</strong>dustry has had a much lower proportionof breeders tak<strong>in</strong>g up trait and pedigreerecord<strong>in</strong>g. The <strong>in</strong>dustry is more traditionaland <strong>selection</strong> is most often based on visualassessment. While this might be due partlyto the sector be<strong>in</strong>g more extensive, AIhas been commonly used <strong>in</strong> the Mer<strong>in</strong>ostud sector and top Mer<strong>in</strong>o rams havealways been sold for high prices. Therefore,the extensive nature of the <strong>in</strong>dustry doesnot fully expla<strong>in</strong> the lack of <strong>in</strong>vestment<strong>in</strong> performance record<strong>in</strong>g. The traditionalnature of the <strong>in</strong>dustry that has hamperedthe uptake of quantitative genetic pr<strong>in</strong>ciplesis also the result of socio-economic factors,with wool producers be<strong>in</strong>g traditionallya prom<strong>in</strong>ent and relatively wealthy socialclass. The lamb <strong>in</strong>dustry has long beenthe wool person’s “poor brother”, but thislack of status has accelerated <strong>in</strong>novationwith the <strong>in</strong>troduction of new approachessuch as formal record<strong>in</strong>g and across-flockevaluation. Hence, economic as well associal and cultural reasons may expla<strong>in</strong>why sheep breed<strong>in</strong>g programmes havedifferent levels of sophistication <strong>in</strong> termsof record<strong>in</strong>g, genetic evaluation and acrossflock<strong>selection</strong>.Breed<strong>in</strong>g programmes and traitstargetedMeat sheepLarge-scale genetic evaluation programmesfor sheep are found <strong>in</strong> Australia, France,New Zealand, South Africa and the UnitedK<strong>in</strong>gdom. In all of these, performancerecord<strong>in</strong>g for meat traits is well advanced,with not only weight traits measured, butalso traits related to carcass quality such asbody fat and muscle (based on ultrasound

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