Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers.

For the BRR model using the whole marker dataset, for example, plant height and plant width GEBVs demonstrated highly significant correlation coefficient ( r = 0.77; P < 0.0001) (Fig. 1 ).

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