Accelerated recurrent selection |
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Authors: | I.J. Mackay I.J. Mackay P.D.S. Caligari J.P. Gibson |
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Affiliation: | (1) Department of Agricultural Botany, School of Plant Sciences, The University of Reading, P.O. Box 221, Reading, RG6 6AS, U.K;(2) Lion Seeds Ltd. Woodham Mortimer, Maldon, Essex, CM9 6SN, U.K;(3) Centre for Genetic Improvement of Livestock, Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada, N1G |
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Abstract: | In Accelerated Recurrent Selection (ARS) schemes, selection is based on the predicted performance of progeny families, estimated as the average of the parental families. These schemes can halve cycle time compared to simple recurrent selection methods. They also have a lower requirement for evaluation of families in yield trials, although they do require more seed production. ARS therefore provides options in cycle time, effective population size, response to selection and cost which have not been available before. Example schemes are compared by computer simulation with truncation selection and with optimal family selection, where contributions of families to the next generation are optimised to give the maximum response to selection at a specified effective population size. In many circumstances, ARS schemes compare favourably. Difficulties in combining estimates of selection intensity and of effective population size when comparing the merits of different breeding schemes are discussed. It is suggested that unless one is interested in response to selection over periods greater than 50 years, the weight given to effective population size in ranking different schemes should be small. |
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Keywords: | effective population size cycle time recurrent selection response to selection |
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