Ivan R. Baxter

The paper quantifies the heritability of leaf stable carbon isotope signature in Sorghum bicolor and identifies genetic factors influencing it.

This study identifies E1OGDH1 as a gene influencing maize root system architecture and nitrogen plasticity through genetic and functional analyses.

PanvaR integrates GWAS and fine-mapping in one tool, providing LD analysis, SNP effect predictions, and candidate gene lists with visualizations.

The paper develops a method to identify conserved causative genes across species using multi-species GWAS data, finding that conserved genes are more frequently associated with trait variation than expected by chance.

The paper develops a male-sterile line of Setaria viridis to enable efficient genetic crosses, significantly increasing cross rates and seed purity.

The paper demonstrates a smartphone-based image capture system and two image analysis pipelines for efficient and accurate plant phenotyping in large field experiments.

This study examines how elevated CO2 affects soybean biomass and nutrient concentrations, finding increased yield but reduced seed nutrient content.

This paper constructs a sorghum pangenome and identifies trait-associated variants to inform climate-aware genome-enabled breeding strategies.

This study identifies genetic loci modulating ionomic composition in Populus trichocarpa leaves using GWAS and multi-platform ionome profiling.

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.

The paper introduces three computational tools to improve peak picking and validation in LC-MS datasets, showing better sensitivity and reproducibility than existing methods.

This study identifies genetic factors influencing zinc and cadmium concentrations in sweet corn kernels through genome-wide association analysis.

The paper uses genome resources from Setaria viridis to identify loci associated with climate response, seed shattering, and leaf angle, and validates a novel domestication gene.

The paper develops Camoco, a method integrating GWAS loci with co-expression networks to prioritize causal genes in maize, showing improved performance with tissue-specific expression data.

The paper analyzes the genetic control of the cotton seed ionome under drought and heat stress, finding shared genetic architecture and predictive power for plant physiological responses.

This study uses a genome-wide association approach to identify SNPs linked to elemental accumulation in soybean lines from a germplasm collection.

The paper uses multivariate analysis to identify genetic and environmental factors influencing element covariation in maize grain ionomes, revealing new loci and gene-environment interactions.

The paper examines how inoculation with the arbuscular mycorrhizal fungus affects metal ion accumulation in maize, finding coordinated changes across genotypes and elements.