Eyal Fridman

The paper identifies Dry2.2 as a locus influencing bet-hedging strategies in barley under stress, revealing how population-level variance can be genetically controlled.

The paper identifies photophysiological variation in wild barley linked to environmental origin through common garden experiments and GWAS.

This study uses high-throughput phenotyping and machine learning to predict harvest-related traits in barley under drought conditions, achieving high accuracy with early and late-stage predictors.

The paper develops a cytoplasm-aware population to study cytonuclear interactions in barley, identifying cytoplasmic effects on spike traits and improving genomic prediction.

The paper shows that domestication of barley reduced thermal plasticity of circadian rhythms and identifies genetic loci that influence these changes and yield traits.

The paper introduces RECAS9, a transgene-free method using CRISPR/Cas9 RNP to induce mitotic recombination in barley, enabling precise breeding and fine mapping of beneficial alleles from wild relatives.

This study identifies nuclear and plasmotype quantitative trait loci influencing circadian clock robustness to high temperature in wild barley using a doubled haploid population.

A GWAS identifies a barley locus HsDry2.2 with flowering-independent yield benefits under drought, showing wild alleles improve grain yield and morphology.