Michael Gore

About

Michael Gore is a professor of molecular breeding and genetics for nutritional quality and holds the Liberty Hyde Bailey professorship at Cornell University. He is a faculty member in the Plant Breeding and Genetics Section within the School of Integrative Plant Science. Additionally, Michael is a faculty fellow at both the Atkinson Center for a Sustainable Future and the Cornell Institute for Food Systems. He earned his BS and MS degrees from Virginia Tech in Blacksburg, Virginia, and completed his PhD at Cornell University. Prior to joining Cornell's faculty, he worked as a Research Geneticist with the USDA-ARS at the Arid-Land Agricultural Research Center in Maricopa, Arizona. Michael Gore's expertise lies in quantitative genetics and genomics, with a particular focus on the genetic dissection of metabolic seed traits related to nutritional quality. He also develops and applies field-based, high-throughput phenotyping tools to advance plant breeding and genetics research. In his teaching role, he instructs courses such as PLBRG 4070 – Nutritional Quality Improvement of Food Crops and PLBRG 4110 – High-Throughput Plant Phenotyping. Beyond Cornell, he teaches short courses at the Tucson Plant Breeding Institute and other international venues. He serves on the editorial boards of The Plant Phenome Journal, Genetics, and Plant Breeding and Biotechnology, and has served as Chair for the Plant Breeding Coordinating Committee (SCC080), a USDA-sponsored advisory group comprising…

Research topics

• Genetics
• Biology
• Computer Science
• Botany
• Agronomy
• Ecology
• Evolutionary biology
• Machine Learning
• Artificial Intelligence
• Computational biology

Selected publications

• Comparative evolutionary genetics of deleterious load in sorghum and maize

  Nature Plants · 2021 · 115 citations

  Senior authorCorresponding
  DOI

• Genome assembly and population genomic analysis provide insights into the evolution of modern sweet corn

  Nature Communications · 2021 · 114 citations

  Sweet corn is one of the most important vegetables in the United States and Canada. Here, we present a de novo assembly of a sweet corn inbred line Ia453 with the mutated shrunken2-reference allele (Ia453-sh2). This mutation accumulates more sugar and is present in most commercial hybrids developed for the processing and fresh markets. The ten pseudochromosomes cover 92% of the total assembly and 99% of the estimated genome size, with a scaffold N50 of 222.2 Mb. This reference genome completely…

  DOI

• The patterns of deleterious mutations during the domestication of soybean

  Nature Communications · 2021 · 111 citations

  Globally, soybean is a major protein and oil crop. Enhancing our understanding of the soybean domestication and improvement process helps boost genomics-assisted breeding efforts. Here we present a genome-wide variation map of 10.6 million single-nucleotide polymorphisms and 1.4 million indels for 781 soybean individuals which includes 418 domesticated (Glycine max), 345 wild (Glycine soja), and 18 natural hybrid (G. max/G. soja) accessions. We describe the enhanced detection of 183 domesticatio…

  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

• Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

  PLANT PHYSIOLOGY · 2021 · 96 citations

  Sorghum (Sorghum bicolor) is a model C4 crop made experimentally tractable by extensive genomic and genetic resources. Biomass sorghum is studied as a feedstock for biofuel and forage. Mechanistic modeling suggests that reducing stomatal conductance (gs) could improve sorghum intrinsic water use efficiency (iWUE) and biomass production. Phenotyping to discover genotype-to-phenotype associations remains a bottleneck in understanding the mechanistic basis for natural variation in gs and iWUE. This…

  DOI

Recent grants

• NRI: Deep Learning Unmanned Aircraft Systems for High-Throughput Agricultural Disease Phenotyping

  NSF · $1.1M · 2015–2019

Frequent coauthors

• Edward S. Buckler

  Cornell University

  166 shared

• Alexander E. Lipka

  University of Illinois Urbana-Champaign

  53 shared

• Élodie Gazave

  Cornell University

  47 shared

• David D. Fang

  Agricultural Research Service

  45 shared

• Richard G. Percy

  United States Department of Agriculture

  41 shared

• Rebecca Nelson

  Cornell University

  40 shared

• Don C. Jones

  Cotton (United States)

  38 shared

• James Frelichowski

  Southern Plains Agricultural Research Center

  38 shared

Labs

• The Gore LabPI

Awards & honors

• Public Sector Plant Breeding Impact Award (2024)
• National Association for Plant Breeding Cotton Genetics Rese…
• Joint Cotton Breeding Committee Fellow (2022)
• American Association for the Advancement of Science Fellow (…
• Crop Science Society of America President’s Awards for Excel…

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