Jensina Davis

Jensina Davis

PhD Student

Jensina Davis is a graduate student in the Complex Biosystems program at UNL specializing in Integrated Plant Biology. She received her B.S. in Agronomy and Seed Science with a minor in Statistics from Iowa State University in May 2022. Originally from Brookings, SD, she has completed several internships with companies in the agriculture industry and is passionate about advancing sustainability in agriculture using computational and statistical research methods.

In the News

  • Jensina Davis speaks at Maize Genetics Conference

    Jensina Davis presented her work on rapid prototyping of field imaging systems and AI image embeddings to map genes controlling plant disease responses at the Maize Genetics Conference in Köln, Germany.

  • Schnable Lab at NAPPN Conference

    Jensina Davis and Karla Cuéllar spoke at the NAPPN conference in East Lansing, Michigan.

  • Three students receive IANR fellowships

    Three students in our lab were honored as UNL graduate fellowship recipients. Congratulations to Jensina Davis (Hardin Fellow), Nikee Shrestha, and Sofiya Arora (Widaman Fellows).

  • Nebraska Corn outreach

    Jensina, Sofiya, and Harshita had the chance to meet with members of the Nebraska Corn Growers Association and talk about their work on lab projects related to crop breeding, optimizing nitrogen use, and using artificial intelligence to study leaf diseases in new ways.

  • UNL-Bayer Hackathon

    Ryleigh Kirby, Harshita Mangal, Sofiya Arora, Jensina Davis, Hadiya Kounsar, Ozgur Altundas, Amany Gomaa, and Karla Cuéllar joined the Bayer Agriculture Data Hackathon, where Sofiya’s team won first place, Hadiya and Ryleigh’s team took second, Jensina’s team placed third, and Ozgur’s team earned the social engagement award.

  • Students Presentations at the PSI Plant Science Symposium

    Jensina Davis, Harshita Mangal, and Sofiya Arora each had the chance to deliver presentations at the 2025 PSI Plant Science Symposium here on campus.

Recent Publications

  • Davis JM, Gaillard M, Tross MC, Shrestha N, Ostermann I, Grove RJ, Li B, Benes B, Schnable JC (2025) 3D reconstruction enables high-throughput phenotyping and quantitative genetic analysis of phyllotaxy. Plant Phenomics doi: 10.1016/j.plaphe.2025.100023 bioRxiv doi: 10.1101/2024.10.03.616344
  • Davis JM, Coffey LM, Turkus J, López-Corona L, Linders K, Ullagaddi C, Santra DK, Schnable PS, Schnable JC (2025) Assessing the impact of yield plasticity on hybrid performance in maize. Physiologia Plantarum doi: 10.1111/ppl.70278 bioRxiv doi: 10.1101/2025.01.21.634104
  • Shrestha N, Powadi A, Davis J, Ayanlade TT, Liu H, Tross MC, Mathivanan RK, Bares J, Lopez-Corona L, Turkus J, Coffey L, Tubery TZ, Ge Y, Sarkar S, Schnable JC, Ganapathysubramanian B, Schnable PS (2025) Plot-level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials. Plants Planet People doi: 10.1002/ppp3.10613 agriRxiv doi: 10.31220/agriRxiv.2024.00251
  • Ostermann I, Benes B, Gaillard M, Li B, Davis J, Grove RJ, Shrestha N, Tross MC, Schnable JC (2024) Sorghum segmentation and leaf counting using an in silico trained deep neural model. The Plant Phenome Journal doi: 10.1002/ppj2.70002
  • Torres-Rodriguez JV, Li D, Turkus J, Newton L, Davis J, Lopez-Corona L, Ali W, Sun G, Mural RV, Grzybowski M, Zamft B, Thompson AM, Schnable JC (2024) Population level gene expression can repeatedly link genes to functions in maize. The Plant Journal doi: 10.1101/2023.10.31.565032 bioRxiv doi: 10.1101/2023.10.31.565032