Yaniv Lupo

The paper identifies a major locus for boron exclusion in wild Vitis species through genetic mapping and phenotyping, supporting its use in breeding boron-tolerant rootstocks.

The paper presents a low-cost imaging and deep-learning pipeline to analyze root system architecture and soil moisture in grapevine rootstocks, revealing genetic and temporal variation in root traits.

This study evaluates Vitis germplasm diversity to predict adventitious rooting traits, identifying genetic loci and developing genomic prediction models for improved grapevine rootstock breeding.

This study uses QTL mapping and a foundation model for phenotyping to identify genetic loci associated with grapevine cluster compactness and yield traits.

This study identifies genetic loci associated with chloride exclusion in grapevines using GWAS and QTL mapping across a diverse germplasm collection.

This study uses hyperspectral radiometry and machine learning to screen grapevine rootstocks for boron tolerance, identifying genotypes with high B exclusion and photosynthetic resilience.

This paper demonstrates that hyperspectral sensing can identify salinity-tolerant grapevine germplasm with high throughput and non-destructive methods, showing better performance with a more expensive, sensitive device.