Patrick S. Schnable

This study assesses how yield plasticity affects hybrid performance in maize across diverse environments and finds no clear tradeoff between plasticity and mean performance.

The paper identifies moisture-dependent root-branch signaling pathways in maize by analyzing genetic differences between tropical/subtropical and temperate germplasm.

This study applies transcriptome-wide association study (TWAS) to soybean to identify trait-associated genes, finding novel genes and causal variations related to flowering time.

This paper presents a chromosome-level genome assembly of maize inbred line A188 and identifies structural variations and gene expression differences compared to the reference line B73.

Hyppo-X is a framework for exploring complex phenomics data to extract hypotheses about environmental influences on phenotypic traits in plants.

This paper introduces FarmCPUpp, an efficient implementation of the FarmCPU method for GWAS that improves speed and memory management using C++ and parallel computing.

This study examines how genotype-by-environment interactions affect heterosis in maize hybrids and their inbred parents across 16 environments and 25 traits.

This paper introduces tGBS(R), a genome reduction method that improves SNP calling accuracy and reduces missing data for heterozygous loci compared to conventional GBS.

The paper identifies circRNAs in maize formed by transposon reverse complementary pairs and links them to phenotypic variation through expression changes and gene interactions.