Emily S. Bellis Source Confirmed

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Assistant Professor

Arkansas State University

faculty

15 h-index 60 pubs 855 cited

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Biography and Research Information

OverviewAI-generated summary

Emily S. Bellis is an Assistant Professor at Arkansas State University. Her research focuses on understanding plant-pathogen interactions, invasive species, and the genetic and environmental factors influencing crop yield. She has investigated mechanisms of resistance in sorghum to parasitic weeds like witchweed (Striga) and explored the genetic basis of transposable element mutation rates in Daphnia magna.

Bellis's work also extends to the application of technology in agriculture, including the use of unmanned aerial vehicle imagery and deep learning for detecting intra-field variation in rice yield. Her research group is involved in projects examining the physiological and ecological threats posed by invasive plants, such as dodders in Eastern Africa, and the phylogeographic analysis of invasive vines to inform management strategies. She also contributes to broader agricultural research through participation in global genotype by environment prediction competitions for maize yield estimation.

With a h-index of 15 and over 855 citations across 60 publications, Bellis has secured significant funding for her research. She is a Co-Principal Investigator on a National Science Foundation grant totaling nearly $2 million, aimed at enhancing computational data education through the study of invasion and disease ecology and evolution. She actively collaborates with researchers at Arkansas State University, including Jason Causey, Brett Hale, Asela Wijeratne, and Ahmed A. Hashem, with whom she has co-authored multiple publications.

Metrics

  • h-index: 15
  • Publications: 60
  • Citations: 855

Selected Publications

  • Predicting Gene Expression Responses to Cold in Arabidopsis thaliana Using Natural Variation in DNA Sequence (2025) DOI
  • Cell Wall Dynamics in the Parasitic Plant (<i>Striga</i>) and Rice Pathosystem (2024) DOI
  • Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates (2024) DOI
  • Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction (2024) DOI
  • Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates (2024) DOI
  • Predicting gene expression responses to environment in <i>Arabidopsis thaliana</i> using natural variation in DNA sequence (2024) DOI
  • Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach (2024) DOI
  • Climate biogeography of <i>Arabidopsis thaliana</i> : Linking distribution models and individual variation (2023) DOI
  • Strigolactone biosynthesis <i>lgs1</i> mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (<i>Striga</i>) parasitism (2023) DOI
  • Transcriptome atlas of <i>Striga</i> germination: Implications for managing an intractable parasitic plant (2023) DOI
  • Resolving intergenotypic <i>Striga</i> resistance in sorghum (2023) DOI
  • Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa (2023) DOI
  • Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa (2023) DOI
  • Resolving intergenotypic <i>Striga</i> resistance in sorghum (2022) DOI
  • A transcriptome atlas of <i>Striga hermonthica</i> germination (2022) DOI

Federal Grants 1 $1,999,484 total

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