PhdFit
Resume-aware faculty matching

Find professors who actually fit you

Review faculty evidence in public, then use the workspace to turn your background into a shortlist, outreach, and meeting prep.

Profile-awarePaper evidenceSix agents
Edward Buckler

Edward Buckler

· Plant Geneticist

Cornell University · Horticulture

Active 1996–2026

h-index182
Citations155.8k
Papers764282 last 5y
Funding$30.8M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

Faculty page
See your match with Edward Buckler — sign in to PhdFit.Sign in

About

Edward S. Buckler is a plant geneticist with the USDA Agricultural Research Service and holds an adjunct appointment at Cornell University in the School of Integrative Plant Science's Plant Breeding and Genetics Section. His work focuses on both quantitative and statistical genetics in maize as well as other crops such as cassava. The Buckler Lab for Maize Genetics and Diversity uses functional genomic approaches to dissect complex traits in maize, biofuel grasses, and grapes. The lab utilizes the natural diversity of these plant genomes to identify the individual nucleotides responsible for complex (quantitative) variation.

Research topics

  • Biology
  • Genetics
  • Computer Science
  • Agronomy
  • Artificial Intelligence
  • Computational biology
  • Evolutionary biology
  • Botany
  • Ecology
  • Data science

Selected publications

  • Reconstructing the maize leaf regulatory network using ChIP-seq data of 104 transcription factors

    Nature Communications · 2020 · 236 citations

    The transcription regulatory network inside a eukaryotic cell is defined by the combinatorial actions of transcription factors (TFs). However, TF binding studies in plants are too few in number to produce a general picture of this complex network. In this study, we use large-scale ChIP-seq to reconstruct it in the maize leaf, and train machine-learning models to predict TF binding and co-localization. The resulting network covers 77% of the expressed genes, and shows a scale-free topology and fu…

    DOI

  • Deep learning for plant genomics and crop improvement

    Current Opinion in Plant Biology · 2020 · 180 citations

    Senior authorCorresponding

    Our era has witnessed tremendous advances in plant genomics, characterized by an explosion of high-throughput techniques to identify multi-dimensional genome-wide molecular phenotypes at low costs. More importantly, genomics is not merely acquiring molecular phenotypes, but also leveraging powerful data mining tools to predict and explain them. In recent years, deep learning has been found extremely effective in these tasks. This review highlights two prominent questions at the intersection of g…

    DOI

  • Ten Years of the Maize Nested Association Mapping Population: Impact, Limitations, and Future Directions

    The Plant Cell · 2020 · 130 citations

    Senior authorCorresponding

    ) Nested Association Mapping (NAM) population. The NAM population has been and continues to be an invaluable resource for the maize genetics community and has yielded insights into the genetic architecture of complex traits. The parental lines have become some of the most well-characterized maize germplasm, and their de novo assemblies were recently made publicly available. As we enter an exciting new stage in maize genomics, this retrospective will summarize the design and intentions behind the…

    PublisherOA PDFDOI

  • Comparative evolutionary genetics of deleterious load in sorghum and maize

    Nature Plants · 2021 · 115 citations

    DOI

  • The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment

    G3 Genes Genomes Genetics · 2021 · 101 citations

    High-dimensional and high-throughput genomic, field performance, and environmental data are becoming increasingly available to crop breeding programs, and their integration can facilitate genomic prediction within and across environments and provide insights into the genetic architecture of complex traits and the nature of genotype-by-environment interactions. To partition trait variation into additive and dominance (main effect) genetic and corresponding genetic-by-environment variances, and to…

    PublisherOA PDFDOI

Recent grants

Frequent coauthors

  • Peter J. Bradbury

    340 shared

  • M. Cinta Romay

    Cornell University

    184 shared

  • James B. Holland

    Agricultural Research Service

    182 shared

  • Michael A. Gore

    Cornell University

    166 shared

  • Michael D. McMullen

    162 shared

  • Sherry Flint‐Garcia

    United States Department of Agriculture

    153 shared

  • Zhiwu Zhang

    Washington State University

    122 shared

  • John Doebley

    University of Wisconsin–Madison

    121 shared

Education

  • PhD, Biological Science

    University of Missouri Columbia

    1997

Awards & honors

  • 2025 Barbara McClintock Prize for Plant Genetics and Genome…

Similar researchers at Cornell University

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Edward Buckler

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

Sign in to PhdFitHow it works
  • Free to start
  • No credit card
  • 30-second signup