Michael A. Gore

Capturing Spatial Heterogeneity Using UAV-Derived Multispectral Phenotypes and Random Regression Models Improves Genetic Evaluation in Alfalfa Breeding Trials

Gene-metabolite networks reveal physiological trade-offs but not transcriptional co-regulation between carotenoids and dry matter in cassava (Manihot esculenta) roots

The paper investigates the genetic and metabolic basis of the trade-off between carotenoids and dry matter in cassava roots, finding no direct transcriptional co-regulation but suggesting regulatory and metabolic links.

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.

Genomic sampling and population structure of farmer-maintained varieties reveal previously uncharacterized diversity of Theobroma cacao L. in Costa Rica

This study analyzes the genetic diversity of farmer-maintained Theobroma cacao in Costa Rica, revealing previously uncharacterized local genetic groups and highlighting the importance of farmer-managed systems for conservation.

Unlocking the potential of Capsicum Germplasm Collections for Climate Resilience and Fruit Quality

This paper develops a framework combining genomic prediction and a large language model to select climate-resilient pepper cultivars from germplasm collections.

Discovering Polyphosphate and Polyhydroxyalkanoate-Accumulating Organisms Across Ecosystems: Phenotype-targeted Genotyping via FACS-sequencing

This study introduces TriFlow-Seq, a method combining FACS and 16S rRNA sequencing to identify PHA-PAOs in EBPR systems and soil, revealing new candidates and their ecological roles.

Investigating the role of stomatal dynamics on agronomic traits using a slac1-2 Zea mays mutant

This study examines a Zea mays slac1-2 mutant to assess its impact on water use efficiency and agronomic traits, finding no improvement in CO2 assimilation or yield despite increased stomatal conductance.

Modification of Non-photochemical Quenching Pathways in the C4 Model Plant Setaria viridis Revealed Shared and Unique Photoprotection Mechanisms as Compared to C3 Plants

This study overexpresses NPQ genes in C4 plant Setaria viridis to compare photoprotection mechanisms with C3 plants, finding shared and unique traits that could improve crop resilience.

Overexpression of Xanthophyll Cycle Genes Leads to Faster NPQ Acclimation in the C4 Monocot Setaria viridis

This study overexpresses NPQ-related genes in Setaria viridis to assess NPQ acclimation rates, finding faster NPQ induction but no photosynthetic benefit.

Integrative multi-omic analysis identifies genes associated with cuticular wax biogenesis in adult maize leaves

The paper identifies genes associated with cuticular wax biogenesis in maize leaves through integrative multi-omic analysis, linking wax composition to leaf cuticular conductance.

Remote sensing for estimating genetic parameters of biomass accumulation and modeling stability of growth curves in alfalfa

This study uses multi-spectral imaging to estimate genetic parameters of biomass accumulation and model growth curve stability in alfalfa across different irrigation treatments and cultivars.

Climate resilience conserved in global germplasm repositories: Picking the most promising parents for agile plant breeding

The paper assesses the sufficiency of genetic diversity in sorghum germplasm repositories for climate adaptation by evaluating geographic distribution and genomic resilience scores.

Spatio-temporal modeling of high-throughput multi-spectral aerial images improves agronomic trait genomic prediction in hybrid maize

The paper improves genomic prediction of agronomic traits in maize by integrating spatio-temporal modeling of multi-spectral aerial images with genetic data.

Genomic resources for Macadamia tetraphylla and an examination of its historic use as a crop resource in Hawaii

This study develops a genomic resource for Macadamia tetraphylla and examines its hybridization with cultivated Macadamia integrifolia in Hawaiian breeding lines and a remnant orchard.

Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain

This study evaluates prediction models for tocochromanol content in maize grain using genomic and transcriptomic data, finding that incorporating biological knowledge improves predictive ability.

Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain

The paper combines GWAS and TWAS to identify 13 candidate causal genes for tocochromanol levels in maize grain, including five previously unassociated genes.

Generalizable approaches for genomic prediction of metabolites in plants

The paper develops genomic prediction methods for plant metabolites using metabolite GWAS and kernel models, improving accuracy for LC-MS metabolites but not GC-MS.

Transcriptome-wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels

This study uses transcriptome-wide association and prediction to identify genes related to carotenoid and tocochromanol levels in sweet corn and shows transcriptomic data improve predictive models.

Integration of GWAS and TWAS to elucidate the genetic architecture of natural variation for leaf cuticular conductance in maize

The paper integrates GWAS and TWAS to identify 22 candidate genes regulating maize leaf cuticular conductance, with ISTL1 validated as a key gene through near-isogenic lines.

Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations

This study evaluates multi-omics prediction models for oat traits across environments and populations, showing improved accuracy over genomic prediction with SNP data.

Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels

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

Purging of deleterious mutations during domestication in the predominant selfing crop soybean

The paper presents a genome-wide variation map of soybean accessions to study domestication-related mutations and finds a reduction in deleterious alleles in domesticated soybean.

Making WAVES in Breedbase: An Integrated Spectral Data Storage and Analysis Pipeline for Plant Breeding Programs

The paper develops an open-source R package, waves, for spectral data analysis in plant breeding and integrates it into the Breedbase database to enhance spectral data handling and analysis.

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.

Aerial High-Throughput Phenotyping Enabling Indirect Selection for Grain Yield at the Early-generation Seed-limited Stages in Breeding Programs

This study evaluates aerial high-throughput phenotyping for indirect selection of grain yield in wheat breeding programs, finding vegetation indices predictive of yield and more effective than visual selection.

Translating insights from the seed metabolome into improved prediction for healthful compounds in oat

This study uses metabolomics and genomic approaches to improve prediction of healthful compounds in oat seeds by identifying latent factors associated with lipid metabolism.

Genome-wide association study for maize leaf cuticular conductance identifies candidate genes involved in the regulation of cuticle development

This study identifies candidate genes associated with maize leaf cuticular conductance through genome-wide association and provides insights for improving drought-tolerant maize breeding.

A sorghum Practical Haplotype Graph facilitates genome-wide imputation and cost-effective genomic prediction

This paper introduces a sorghum Practical Haplotype Graph (PHG) that enables accurate SNP calling and imputation from low-coverage sequencing data, improving genomic prediction accuracy and reducing genotyping costs.

Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum

This paper develops Bayesian networks for genomic prediction of developmental traits in biomass sorghum, showing improved accuracy for plant height and biomass yield using multi-time and multi-trait models.

Genetic analysis of the transition from wild to domesticated cotton (G. hirsutum)

This study identifies 120 QTL associated with domestication traits in cotton using an F2 population, revealing subgenome-specific distribution and environmental variability.