Genomic data integration improves prediction accuracy of apple fruit traits

Genotyping techniques can be used to select fruit trees with desired traits at the seedling stage, increasing the efficiency of fruit tree breeding. However, so far, there are multiple different genotyping systems, each generating distinct datasets. In a recent study, Japanese scientists revealed that integrating genomic data obtained with different genotyping systems can effectively combine with historical data, leveraging the accuracy of genomic predictions.

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Genotyping techniques can be used to select fruit trees with desired traits at the seedling stage, increasing the efficiency of fruit tree breeding. However, so far, there are multiple different genotyping systems, each generating distinct datasets. In a recent study, Japanese scientists revealed that integrating genomic data obtained with different genotyping systems can effectively combine with historical data, leveraging the accuracy of genomic predictions.

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