Evaluating the effectiveness of selection indices and their genomic prediction using environmental and historical rice data.

Abstract excerpt

Improving genetic gains in rice breeding programs requires accurate prediction methods for selection indices. Effective use of genomic prediction could significantly accelerate breeding cycles. The Smith index method (SIM), the eigenvalue selection index method (ESIM), and the desired gain index (DG) are linear combinations of trait phenotypic values y (I=b'y), and while the SIM and ESIM predict the net genetics...

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