Mitchell J. Feldmann

Breedbase 2.0 introduces new features for managing plant breeding data, including improved data handling, user permissions, trial quality control, and tools for transgenics and field layout.

The paper identifies and characterizes terpene synthase genes in strawberry, revealing their role in terpene aroma diversity and providing resources for aroma trait improvement.

This study fine-maps the RPc2 resistance locus in strawberries to 546 kb, identifies candidate genes, and reveals the genetic architecture and haplotype distribution of resistance to Phytophthora crown rot.

This paper introduces end-to-end genomic prediction to directly predict images and text from genetic markers, showing comparable accuracy to traditional numeric phenotype-based methods.

This paper shows that the PF gene explains only 22% of runnering variation in strawberries and demonstrates that genomic prediction for runnering is feasible.

The paper argues that benchmarking phenomic prediction against genomic prediction using cross-validation is inappropriate because accuracy differences do not reliably reflect breeder's equation parameters and other factors influence selection outcomes.

The paper evaluates the usefulness criterion for mate selection in breeding programs and finds it provides little benefit over selecting parents based on predicted family means.

This paper evaluates nonlinear methods for visualizing and inferring population structure, finding graph-based algorithms like t-SNE and UMAP outperform PCA while neural networks perform worse.

This paper demonstrates that average semivariance can estimate genetic variance components across different modes of inheritance in complex traits.

This study predicts genomic resistance to gray mold in strawberries, finding heritable but complex traits with moderate genomic selection accuracy.

Trio-binned PacBio HiFi reads plus a 3.6 M-variant recombination map give phase-resolved assemblies of octoploid strawberry 'Royal Royce' and FaRR1, a 786.5 Mb haploid reference with 28 pseudomolecules.

The paper introduces a new genomic relationship matrix that improves genomic heritability estimation and breeding value prediction across populations.

This paper identifies a bias in statistical methods for estimating marker heritability and proposes a bias-corrected approach using average semivariance.

This study maps subgenome-specific DNA variants in octoploid strawberries, enabling genetic and physical mapping and unifying chromosome nomenclature.