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
Endodormancyintensity-an unrecognised bud dormancy trait.
PubMed · 2026-05-20
Scientists have identified a new measurable tree trait called 'endodormancy intensity' that captures how strongly a tree's buds resist opening in late winter. This gives researchers a clearer way to study and compare how different trees manage their dormancy cycle.
1
Endodormancy intensity is a newly defined, experimentally derived trait that quantifies the degree to which dormancy suppresses bud burst.
2
The metric is applicable to both physiological (mechanistic) and ecological (field/population-level) research on tree dormancy.
3
The concept was not previously recognized as a distinct, measurable dormancy characteristic, representing a gap now filled in bud dormancy science.