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Reproduction in Domestic Animals

Reproduction in Domestic Animals

Reproduction in Domestic Animals

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Management of Goat <strong>Reproduction</strong> and Insem<strong>in</strong>ation 383the husbandry system, the method assumes that thereare some genetic l<strong>in</strong>ks between herds, all these l<strong>in</strong>ksbe<strong>in</strong>g called genetic connectedness. The ma<strong>in</strong> source ofconnectedness is AI.Genetic evaluation of French dairy goats for productiontraits is computed for all flocks recorded for milkproduction, but breed<strong>in</strong>g values are published only forconnected herds, that is, for herds which participate <strong>in</strong>the selection programme. Methods used to evaluateconnectedness are based on the percentage of goats withAI sires, but also on other source of connectedness, <strong>in</strong>particular, the use of goats with an AI paternal grandsire(Fouilloux et al. 2007), as the majority of naturalmat<strong>in</strong>gbucks are sired by AI.For genetic evaluation of type traits, connectedness isnot a problem, because approximately two-thirds ofscored goats are daughters of AI bucks and type scor<strong>in</strong>gis performed only <strong>in</strong> flocks us<strong>in</strong>g AI. Thus, breed<strong>in</strong>gvalues are calculated and published for a subpopulationof connected herds.Creation of genetic improvementA major step <strong>in</strong> the selection programme conducted <strong>in</strong>1992 with the creation of a structured selection nucleusformed with goat breeders highly <strong>in</strong>terested <strong>in</strong> selectionand genetic improvement. These breeders must <strong>in</strong>sem<strong>in</strong>ate30% of their goats, at least, and use 30% ofprogeny tested semen for their <strong>in</strong>sem<strong>in</strong>ations. In return,breeders enjoy technical advice for selection and get thelargest access to the best AI semen. In 2006, the selectionprogramme <strong>in</strong>volved 160 000 goats owned by 800breeders.Planned mat<strong>in</strong>gThe most important step <strong>in</strong> the genetic improvementprogramme is to breed AI males of high genetic level.They will come from planned mat<strong>in</strong>gs between the bestfemales and the best males <strong>in</strong> the population. Therefore,elite females selected to be dams of the next AI buckgeneration are <strong>in</strong>sem<strong>in</strong>ated with frozen semen from thebest AI males, named Sires. Dams and Sires are selectedaccord<strong>in</strong>g to their breed<strong>in</strong>g values on production andtype traits, comb<strong>in</strong>ed <strong>in</strong> a global <strong>in</strong>dex. Planned mat<strong>in</strong>gis determ<strong>in</strong>ed to avoid <strong>in</strong>breed<strong>in</strong>g and to preservegenetic variability.Sanitary and <strong>in</strong>dividual controlEvery year, 350 males born from planned mat<strong>in</strong>g are<strong>in</strong>spected on farm by Capri-IA <strong>in</strong> order to select the bestfor the semen production centre. They are exam<strong>in</strong>ed forpedigree (DNA validation), breed standard and sanitarystandard. The sanitary standard of each dam and eachherd is also tested. Accord<strong>in</strong>g to the tests’ results, 200males are selected for the quarant<strong>in</strong>e of the semenproduction centre, where they are controlled on thebasis of sanitary standards and growth. At the end ofthe quarant<strong>in</strong>e, only 120 males enter the semen productioncentre, where they are controlled on the basis ofsexual behaviour (libido and ability to give semen <strong>in</strong> anartificial vag<strong>in</strong>a), semen production (semen quantity andquality) and sperm survival after deep freez<strong>in</strong>g-thaw<strong>in</strong>g.After these controls, rema<strong>in</strong><strong>in</strong>g 70 males are progenytested to determ<strong>in</strong>e their genetic level. All elim<strong>in</strong>atedmales are slaughtered.Progeny test<strong>in</strong>gFor progeny test<strong>in</strong>g, 200 <strong>in</strong>sem<strong>in</strong>ations are performedper male across milk-recorded herds. The goal is toobta<strong>in</strong> a m<strong>in</strong>imum of 30 milk-recorded daughters pertested male (the average number is 80 daughters permale). Milk records and type appraisal of the daughtersare used to compute the breed<strong>in</strong>g value of each male.The 35 best males are selected and the other ones areslaughtered.ConclusionThis review has ma<strong>in</strong>ly addressed the methods and thetechniques that have provided improvements to rout<strong>in</strong>epractical AI programmes and genetic improvementprogrammes. An important consideration is the tim<strong>in</strong>gof the AI, which should be performed close to the timeof ovulation <strong>in</strong> the females. Accurate and carefuldetection of oestrus or control of oestrus and ovulationare necessary to reach a satisfactory fertility level.Validation of new procedures such as the use of themale effect <strong>in</strong> highly seasonal goats will be required tomeet to the new expectations of the animal <strong>in</strong>dustriesand consumers which are opposed to the use of syntheticchemicals and hormonal treatments. The efficiency ofthe French selection programme is now widely provedand recognized. It fits with most dairy goat breeders’objectives, but further studies are still <strong>in</strong> progress to<strong>in</strong>tegrate new selection criteria and to adapt selectionobjectives to new needs and diversified market demands.The goat genetic map is be<strong>in</strong>g constructed, thus giv<strong>in</strong>gthe basis for QTL (Quantitative Trait Loci) detection.Molecular <strong>in</strong>formation will be particularly useful forgenetic improvement of dairy traits.ReferencesAmills M, Sanchez A, Manfredi E, 1999: Allelic frequencies ofthe Mhc class II DRB gene <strong>in</strong> capr<strong>in</strong>e arthritis-encephalitisvirus <strong>in</strong>fected goats. 2nd Annual Conference on new andRe-Emerg<strong>in</strong>g Infectious Diseases, University of Ill<strong>in</strong>ois,Urbana-Champaign, pp. 23.Analla M, Jime´nez-Gamero I, Mun˜ oz Serrano A, SerradillaJM, Falagan A, 1996: Estimation of genetic parameters formilk yield and fat and prote<strong>in</strong> contents of milk fromMurciano-Granad<strong>in</strong>a goats. J Dairy Sci 79, 1895–1898.Baker RL, Audho JO, Aduda EO, Thorpe W, 1999: GeneticResistance to Gastro<strong>in</strong>test<strong>in</strong>al Nematode Parasites <strong>in</strong> some<strong>in</strong>digenous breeds of sheep and goats <strong>in</strong> Kenya. In: FromJay L. Lush to Genomics: Visions for Animal Breed<strong>in</strong>g andGenetics. University Press, Ames, p. 180.Barbieri ME, Manfredi E, Elsen JM, Ricordeau G, Bouillon J,Grosclaude F, Mahé MF, Bibe´ B, 1995: Influence du locusde la case´<strong>in</strong>e as1 sur les performances laitie` res et lesparame` tres géne´tiques des che` vres de race Alp<strong>in</strong>e. GenetSel Evol 27, 437–450.Baudry C, Mercier P, Mallereau MP, Lenfant D, 1998:Utilisation des numérations cellulaires <strong>in</strong>dividuelles pour laÓ 2008 The Authors. Journal compilation Ó 2008 Blackwell Verlag

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