Daniel E. Runcie

University of California, Davis — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

25h-index2.3kcitations110works6.42yr avg
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Research Topics

Genetic Mapping and Diversity in Plants and Animals(55), Genetic and phenotypic traits in livestock(49), Genetics and Plant Breeding(35), Genetic diversity and population structure(12), Plant Reproductive Biology(11)

Publications110 total

Maize genetic diversity is largely unstructured by human ethnolinguistic diversity in its center of origin
2026Open Access
The MexMAGIC population reveals the genetic architecture of clinal trait variation in Mexican native maize
2026Open Access
The use of cross-validation has overestimated the value of genomic selection in plant breeding
2026Open Access
The origins and adaptive consequences of polyploidy in a dominant prairie grass
2025Open Access
Multi-environment evaluation and genomic prediction of agronomic traits in the southern US rice genepool
2025Open Access
Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize
Nature Genetics·2025· 7 citedOpen Access
Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance
Theoretical and Applied Genetics·2025· 3 citedOpen Access
Do not benchmark phenomic prediction against genomic prediction accuracy
The Plant Phenome Journal·2025· 6 citedOpen Access
Environmental data provide marginal benefit for predicting climate adaptation
PLoS Genetics·2025· 10 citedOpen Access
Convergent evolution of epigenome recruited DNA repair across the Tree of Life
2025· 1 citedOpen Access
Convergent evolution of epigenome recruited DNA repair across the Tree of Life
2025Open Access
Author response: Convergent evolution of epigenome recruited DNA repair across the Tree of Life
2025Open Access
Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
Trends in Plant Science·2025· 34 citedOpen Access
Don’t Benchmark Phenomic Prediction Against Genomic Prediction Accuracy
2025· 2 citedOpen Access
Why usefulness is rarely useful
G3 Genes Genomes Genetics·2024· 4 citedOpen Access
Erratum to “Exploring a Bayesian sparse factor model-based strategy for the genetic analysis of thousands of mid-infrared spectra traits for animal breeding” (J. Dairy Sci. 107:9615–9627)
Journal of Dairy Science·2024Open Access
Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates
Genetics·2024· 14 citedOpen Access
Megavariate methods capture complex genotype-by-environment interactions
Genetics·2024· 13 citedOpen Access
MegaLMM improves genomic predictions in new environments using environmental covariates
Genetics·2024· 8 citedOpen Access
Machine learning algorithms translate big data into predictive breeding accuracy
Trends in Plant Science·2024· 56 citedOpen Access
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Frequent Co-authors

Jeffrey Ross‐Ibarra(10), Rubén Rellán‐Álvarez(9), Ruairidh J. H. Sawers(9), Matthew B. Hufford(9), Johanna Schmitt(6), M. Rocío Aguilar-Rangel(6), Daniel J. Gates(6), Garrett M. Janzen(6), Joel Rodríguez-Medina(5), Siobhán M. Brady(5), Samantha J. Snodgrass(5), Taylor M. Crow(5), Daniel J. Kliebenstein(4), Kaisa Kajala(4), Sharon B. Gray(4), Gregory A. Wray(4), Lorin Crawford(4), Fausto Rodríguez-Zapata(4), Edward S. Buckler(4), Haixiao Hu(4)