Exploring molecular backgrounds of quality traits in rice by predictive models based on high-coverage metabolomics.

The prediction performance for the natural varieties was highly significant ( R 2 = 0.52, p = 7.5 × 10 -6 , Figure 7a ), but not for the 2 knock-out lines that had a similar or even smaller predicted amylose ratio than their background varieties.

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