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
Establishment of an RT-LAMP-CRISPR/Cas12a detection system for grapevine fabavirus and improvement of grapevine leaf crude extract with alkaline resin for on-site naked-eye detection.
PubMed · 2026-02-10
Researchers built a fast, field-ready test for Grapevine fabavirus—a pathogen that causes leaf deformity and heavy crop losses in vineyards—combining two cutting-edge techniques so growers can get a result in under an hour without a lab.
1
The new test is up to 10,000 times more sensitive than conventional RT-PCR, able to detect very low levels of the virus.
2
A novel 'Alkaline Resin method' for leaf samples neutralizes the acidity and removes chlorophyll and other compounds that would interfere with the test, enabling direct crude-extract use without full RNA extraction.
3
The complete on-site detection workflow—from sample preparation to visual result—takes 50 minutes and requires no specialized instruments.
