In this context, (Megabases) represents the total genomic space within the barley genome that shows a high predictability for adaptation to future climate change scenarios. Research Report: Genomic Vulnerability of Ethiopian Barley
: This specific segment of the genome (roughly 506.2 Megabases) is characterized by a high R² towards Gradient Forest (GF) models, meaning it is highly predictable in how it will respond to changing bioclimatic variables.
: Machine learning models predict significant genomic vulnerability for these landraces by the years 2050 and 2070 as current growing environments shift. (506.2 MB)
: Support smallholder farmers in areas most at risk of climate-induced crop failure.
: The study identified 106 genomic loci linked to traits that help barley survive under climate stress. In this context, (Megabases) represents the total genomic
: Target specific genomic regions for breeding programs.
For in-depth methodology and data tables, you can access the full paper through the bioRxiv Open Access Portal or view the abstract on ResearchGate . : Support smallholder farmers in areas most at
Barley is a cornerstone of food security in Ethiopia, grown on over 1 million hectares by roughly 4 million smallholder farmers . This report summarizes research into how traditional barley "landraces" are genetically equipped to handle the climate crisis. Key Findings