James Brendan Holland

Zea Lip: An atlas of glycerolipid profiles across leaf development in maize

UHPLC-MS/MS lipidomics of maize leaves (149 species, three genotypes, four growth stages, three leaf zones) shows genotype and leaf number explain most lipid variation.

An open field phenomics resource for multimodal maize yield prediction across divergent environments

Drone imagery from 356 flights in 19 Genomes to Fields maize environments; vegetation-index functional principal components complement genomic kernels, predicting yield of held-out hybrids at r up to 0.501.

Cis-regulatory variation and transcription factor binding contribute to allelic genotype-by-environment interactions for gene expression in maize

Inter-variety competition dynamics in US inbred and hybrid maize

This study examines competitive dynamics in maize varieties and finds limited competition effects, no yield penalty in mixtures, and increased yield stability.

Gene-by-Environment Interaction Significantly Drives Bacterial Endophyte Communities in Maize Stalks

The paper investigates how host genotype and environment interact to shape bacterial endophyte communities in maize stalks, finding that gene-by-environment interactions significantly influence microbial communities.

A maize near-isogenic line population designed for gene discovery and characterization of allelic effects

The paper characterizes a maize near-isogenic line population to identify introgressions and map disease resistance QTL, revealing allelic variation in traits.

Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

Bearded or Smooth? Awns Improve Yield when Wheat Experiences Heat Stress During Grain Fill

The paper estimates the yield effects of awns in wheat under different environmental conditions over 12 years in the Southeast US, finding awns improve yield in heat-stressed environments.

Genetic variation for plant growth traits in a common wheat population is dominated by known variants and novel QTL

The paper identifies major and novel QTL for plant height and heading date in wheat using a biparental population, showing that genetic variation is dominated by known variants and moderate-effect QTL.

Eleven biosynthetic genes explain the majority of natural variation for carotenoid levels in maize grain

The paper identifies eleven biosynthetic genes explaining most of the natural variation in carotenoid levels in maize grain through QTL analysis and expression correlation.

The relevance of dominance and functional annotations to predict agronomic traits in hybrid maize

This study shows dominance and gene annotations improve genomic prediction of agronomic traits in maize hybrids.

Genetic Analysis of Lodging in Diverse Maize Hybrids

This study identifies quantitative trait loci (QTL) for lodging in maize by evaluating diverse inbred lines across multiple environments, finding overlaps with genes involved in lignin and cellulose synthesis.

Comparison of one-stage and two-stage genome-wide association studies

This study compares one-stage and two-stage GWAS methods, finding that a weighted two-stage approach reduces bias and improves power, especially in unbalanced data.