Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding.

This approach surpasses the deficiencies of previous architectures that required Bonferroni correction for false rejections and returns additional as well as weak associations that might be significant.

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