OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
Ugandan healers near Rwenzori Mountains use 95 plants as medicine
OpenAlex:
Color phenotyping and genome-wide association studies of ...
OpenAlex:
FUNCTIONAL STUDIES ON SIEVE ELEMENT-SPECIFIC PROTEINS
OpenAlex:
Understanding the control of perpetual flowering and cont...
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
AI and big genomic data crack how plant DNA shapes crop traits
PubMed · 2026-05-23
Scientists have built new tools and a public database to decode how tiny DNA differences in plants lead to real-world traits like drought resistance or yield, combining genomics with AI to speed up smarter crop breeding.
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A new public database, PV2F, catalogs genetic variation-to-function links across plant genomes to accelerate breeding research.
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AI-powered models can now predict the functional effect of DNA sequence changes without requiring physical plant experiments for each variant.
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Integrating molecular QTL studies, causal gene prioritization, and protein design into a unified framework moves breeding from trial-and-error toward precise allele selection.