Patents by Inventor Katherine Martin Rainey

Katherine Martin Rainey has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11823446
    Abstract: Digital imagery can help to quantify seasonal changes in desirable crop phenotypes that can be treated as quantitative traits. Because limitations in precise and functional phenotyping restrain genetic improvement in the post-genomic era, imagery-based phenomics could become the next breakthrough to accelerate genetic gains in field crops. Whereas many phenomic studies focus on exploratory analysis of spectral data without obvious interpretative value, we used field images to directly measure soybean canopy development from phenological stage V2 to R5. Over three years, we collected imagery using ground and aerial platforms of a large and diverse nested association panel comprising 5,555 lines. Genome-wide association analysis of canopy coverage across sampling dates detected a large quantitative trait locus on soybean (Glycine max, L. Merr.) chromosome 19. This QTL provided an increase in yield of 47.3 kg·ha?1.
    Type: Grant
    Filed: February 12, 2018
    Date of Patent: November 21, 2023
    Assignee: Purdue Research Foundation
    Inventors: Katherine Martin Rainey, Alencar Xavier, Keith Cherkauer, Anthony Hearst
  • Publication number: 20190026554
    Abstract: Multilayer UAS image ortho-mosaics is used to help remote sensing, agronomy and plant breeding (especially field-based high-throughput phenotyping).
    Type: Application
    Filed: July 20, 2018
    Publication date: January 24, 2019
    Applicant: Purdue Research Foundation
    Inventors: Katherine Martin Rainey, Keith Cherkauer, Anthony A. Hearst
  • Publication number: 20180232579
    Abstract: Digital imagery can help to quantify seasonal changes in desirable crop phenotypes that can be treated as quantitative traits. Because limitations in precise and functional phenotyping restrain genetic improvement in the post-genomic era, imagery-based phenomics could become the next breakthrough to accelerate genetic gains in field crops. Whereas many phenomic studies focus on exploratory analysis of spectral data without obvious interpretative value, we used field images to directly measure soybean canopy development from phenological stage V2 to R5. Over three years, we collected imagery using ground and aerial platforms of a large and diverse nested association panel comprising 5,555 lines. Genome-wide association analysis of canopy coverage across sampling dates detected a large quantitative trait locus on soybean (Glycine max, L. Merr.) chromosome 19. This QTL provided an increase in yield of 47.3 kg·ha?1.
    Type: Application
    Filed: February 12, 2018
    Publication date: August 16, 2018
    Applicant: Purdue Research Foundation
    Inventors: Katherine Martin Rainey, Alencar Xavier, Keith Cherkauer, Anthony Hearst