TAILIEUCHUNG - Báo cáo sinh học: " A note on mate allocation for dominance handling in genomic selection"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: A note on mate allocation for dominance handling in genomic selection | Toro and Varona Genetics Selection Evolution 2010 42 33 http content 42 1 33 RESEARCH Ge n et i cs Selection Evolution Open Access A note on mate allocation for dominance handling in genomic selection Miguel A Toro1 Luis Varona2 Abstract Estimation of non-additive genetic effects in animal breeding is important because it increases the accuracy of breeding value prediction and the value of mate allocation procedures. With the advent of genomic selection these ideas should be revisited. The objective of this study was to quantify the efficiency of including dominance effects and practising mating allocation under a whole-genome evaluation scenario. Four strategies of selection carried out during five generations were compared by simulation techniques. In the first scenario MS individuals were selected based on their own phenotypic information. In the second GSA they were selected based on the prediction generated by the Bayes A method of whole-genome evaluation under an additive model. In the third GSD the model was expanded to include dominance effects. These three scenarios used random mating to construct future generations whereas in the fourth one GSD MA matings were optimized by simulated annealing. The advantage of GSD over GSA ranges from 9 to 14 of the expected response and in addition using mate allocation GSD MA provides an additional response ranging from 6 to 22 . However mate selection can improve the expected genetic response over random mating only in the first generation of selection. Furthermore the efficiency of genomic selection is eroded after a few generations of selection thus a continued collection of phenotypic data and re-evaluation will be required. Background Estimation of non-additive genetic effects in animal breeding is important because ignoring these effects will produce less accurate estimates of breeding values and will have an effect on ranking breeding values. As a consequence including these effects will .

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