A. Leakey

Reducing stomatal density by expression of a synthetic EPF increases leaf intrinsic water use efficiency and reduces plant water use in a C4 crop

This study shows that reducing stomatal density in sorghum via synthetic EPF expression improves water use efficiency without compromising carbon fixation, but with trade-offs in reproductive development.

Modeling phytomeric growth using high-throughput phenotyping deconvolutes genetic control of complex traits underlying size and water use in Setaria

The paper develops a phytomeric growth model integrated with high-throughput phenotyping to better estimate water use efficiency and identify genetic factors influencing plant size and drought response in Setaria.

Plasticity in stomatal behavior across a gradient of water supply is consistent among field-grown maize inbred lines with varying stomatal patterning

The study finds that stomatal conductance model parameters m and g1 are consistent across diverse maize genotypes under varying water supplies, suggesting flexibility in water use efficiency mechanisms.

Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes

Rapid phenotyping of 659 Sorghum bicolor accessions revealed heritable stomatal responses to light decrease. GWAS/TWAS identified candidate genes influencing water-use efficiency traits.

Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

This study uses machine learning and phenotyping to identify 394 genes associated with water use efficiency traits in sorghum through GWAS and TWAS of 869 field-grown accessions.

Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for QTL mapping in maize

Optical topometry and machine learning tools were developed to assess epidermal cell patterning, and applied to analyze its genetic architecture alongside leaf photosynthetic gas exchange in maize.