Selection with inbreeding control in simulated young bull schemes for local dairy cattle breeds.
Local breeds are rarely subject to modern selection techniques; however, selection programs will be required if local breeds are to remain a viable livelihood option for farmers. Selection in small populations needs to take into account accurate inbreeding control. Optimum contribution selection (OCS) is efficient in controlling inbreeding and maximizes genetic gain. The current paper investigates genetic progress in simulated dairy cattle populations from 500 to 6,000 cows undergoing young bull selection schemes with OCS compared with truncation selection (TS) at an annual inbreeding rate of 0.003. Selection is carried out for a dairy trait with a base heritability of 0.3. A young bull selection scheme was used because of its simplicity in implementation. With TS, annual genetic gain from 0.111 standard deviation units with 500 cows increases rapidly to 0.145 standard deviation units with 4,000 cows. Then, genetic gain increases more slowly up to 6,000 cows. At the same inbreeding rate, OCS produces higher genetic progress than TS. Differences in genetic gain between OCS and TS vary from to 2 to 6.3%. Genetic gain is also improved by increasing the number of years that males can be used as sires of sires. When comparing OCS versus TS at different heritabilities, we observe an advantage of OCS only at high heritability, up to 8% with heritability of 0.9. By increasing the constraint on inbreeding, the difference of genetic gain between the 2 selection methods increases in favor of OCS, and the advantage at the inbreeding rate of 0.001 per generation is 6 times more than at the inbreeding rate of 0.003. Opportunities exist for selection even in dairy cattle populations of a few hundred females. In any case, selection in local breeds will most often require specific investments in infrastructure and manpower, including systems for accurate data recording and selection skills and the presence of artificial insemination and breeders organizations. A cost-benefit analysis is therefore advisable before considering the implementation of selection schemes in local dairy cattle breeds.
Department of Veterinary Science and Public Health, University of Milan, 20133 Milan, Italy. Electronic address: gustavo.gandini@unimi.it.
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Gandini
IBBA, National Research Council, 26800 Lodi, Italy.
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Stella
IBBA, National Research Council, 26800 Lodi, Italy.
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Del Corvo
Dekoppel Consulting, 10010 Chiaverano, Italy.
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Jansen
D000818:Animals; D002417:Cattle / Q000235:genetics*; D003612:Dairying / Q000379:methods*; D007178:Inbreeding; D008297:Male; D008957:Models, Genetic; D012641:Selection, Genetic
inbreeding control; local dairy cattle; selection