Cassava breeding

New accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program

C. F. Azevedo, Resende, M. D. V., Silva, F. F., Viana, J. M. S., Valente, M. S. F., Resende, Jr, M. F. R., Oliveira, E. J., Azevedo, C. F., Resende, M. D. V., Silva, F. F., Viana, J. M. S., Valente, M. S. F., Resende, Jr, M. F. R., and Oliveira, E. J., New accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program, vol. 15, p. -, 2016.

Genomic selection is the main force driving applied breeding programs and accuracy is the main measure for evaluating its efficiency. The traditional estimator (TE) of experimental accuracy is not fully adequate. This study proposes and evaluates the performance and efficiency of two new accuracy estimators, called regularized estimator (RE) and hybrid estimator (HE), which were applied to a practical cassava breeding program and also to simulated data. The simulation study considered two individual narrow sense heritability levels and two genetic architectures for traits.

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