Patents by Inventor Steve Rounsley

Steve Rounsley 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).

  • Marker assisted selection of traits for producing meal from
    Patent number: 11713490
    Abstract: A method for identifying a quantitative trait locus associated with desirable nutritional traits in canola includes: analyzing a population of canola plants or germplasm for desirable nutritional traits; determining the genotype of the canola plants or germplasm using at least one marker selected from the group consisting of SEQ ID NO:1 through SEQ ID NO:111; mapping the canola plants or germplasm for the presence of a quantitative trait locus (QTL) associated with the markers; and associating the QTL with the desirable nutritional trait. An isolated and/or recombinant nucleic acid includes a sequence associated with a quantitative trait locus (QTL), wherein the QTL is associated with a desirable nutritional trait in a canola plant or germplasm and wherein the QTL is further associated with at least one marker selected from the group consisting of SEQ ID NO:1 through SEQ ID NO:111.
    Type: Grant
    Filed: October 6, 2020
    Date of Patent: August 1, 2023
    Assignee: CORTEVA AGRISCIENCE LLC
    Inventors: Shunxue Tang, Van L. Ripley, Thomas G. Patterson, Michelle Wiggins, Joshua A. Flook, Cherie Ochsenfeld, Daniel Garcia, Syed Masood Rizvi, Ryan Preuss, Donna Carolynn Knievel, Zoe Christina Ehlert, Steve Rounsley, Muhammad Tahir
  • COMPUTATIONAL TECHNIQUES FOR IDENTIFYING UNOBSERVED HEREDITARY INFORMATION BASED ON ANALYSIS OF LIMITED DATA
    Publication number: 20230197189
    Abstract: Systems and methods for organism genotyping and using genomic data for genotype imputation are disclosed. The system can maintain first genetic sequence information of a sire and second genetic sequence information for a dam, the first and second genetic sequence information indicating one or more single nucleotide polymorphisms (SNPs) of interest. The system can sequence, based on a skim sequencing technique, a sample of genetic information of a progeny of the sire and the dam. The system can identify informative variants based on the first genetic sequence information and the second genetic sequence information. The system can identify informative reads in the sequence of the progeny based on the informative variants. The system can construct a genotype of the progeny based on the informative reads and the one or more SNPs of interest in the first and second genetic sequence information.
    Type: Application
    Filed: December 15, 2022
    Publication date: June 22, 2023
    Applicant: ABS Global, Inc.
    Inventors: Benjamin Brett, Matthew Campbell, Patrice Linel, Steve Rounsley
  • METHODS AND SYSTEMS FOR PROCESSING GENETIC SAMPLES TO DETERMINE IDENTITY OR DETECT CONTAMINATION
    Publication number: 20220119865
    Abstract: Methods and systems for processing semen samples from straws for determining genetic identity, testing the purity of the sample, detecting errors or contamination, calculating an amount of contamination, and determining the identity of the contaminant. The methods herein can detect low levels of contamination, such as contamination of about 0.5%, 1%, 2%, etc.
    Type: Application
    Filed: October 21, 2021
    Publication date: April 21, 2022
    Inventors: Jennifer Dzelil, Matthew Campbell, Steve Rounsley, Patrice Linel
  • MARKER ASSISTED SELECTION OF TRAITS FOR PRODUCING MEAL FROM BRASSICA NAPUS
    Publication number: 20210092921
    Abstract: A method for identifying a quantitative trait locus associated with desirable nutritional traits in canola includes: analyzing a population of canola plants or germplasm for desirable nutritional traits; determining the genotype of the canola plants or germplasm using at least one marker selected from the group consisting of SEQ ID NO:1 through SEQ ID NO:111; mapping the canola plants or germplasm for the presence of a quantitative trait locus (QTL) associated with the markers; and associating the QTL with the desirable nutritional trait. An isolated and/or recombinant nucleic acid includes a sequence associated with a quantitative trait locus (QTL), wherein the QTL is associated with a desirable nutritional trait in a canola plant or germplasm and wherein the QTL is further associated with at least one marker selected from the group consisting of SEQ ID NO:1 through SEQ ID NO:111.
    Type: Application
    Filed: October 6, 2020
    Publication date: April 1, 2021
    Applicant: Dow AgroSciences LLC
    Inventors: Shunxue Tang, Van L. Ripley, Thomas G. Patterson, Michelle Wiggins, Joshua A. Flook, Cherie Ochsenfeld, Daniel Garcia, Syed Masood Rizvi, Ryan Preuss, Donna Carolynn Knievel, Zoe Christina Ehlert, Steve Rounsley, Muhammad Tahir
  • Fine mapping and validation of QTL underlying fiber content and identification of SNP markers for marker assisted selection
    Patent number: 10791692
    Abstract: A method for identifying a quantitative trait locus associated with desirable nutritional traits in canola includes: analyzing a population of canola plants or germplasm for desirable nutritional traits; determining the genotype of the canola plants or germplasm using at least one marker selected from the group consisting of SEQ ID NO:1 through SEQ ID NO:111; mapping the canola plants or germplasm for the presence of a quantitative trait locus (QTL) associated with the markers; and associating the QTL with the desirable nutritional trait. An isolated and/or recombinant nucleic acid includes a sequence associated with a quantitative trait locus (QTL), wherein the QTL is associated with a desirable nutritional trait in a canola plant or germplasm and wherein the QTL is further associated with at least one marker selected from the group consisting of SEQ ID NO:1 through SEQ ID NO:111.
    Type: Grant
    Filed: December 18, 2015
    Date of Patent: October 6, 2020
    Assignee: Dow AgroSciences LLC
    Inventors: Shunxue Tang, Van L. Ripley, Thomas G. Patterson, Michelle Wiggins, Joshua A. Flook, Cherie Ochsenfeld, Daniel Garcia, Syed Masood Rizvi, Muhammad Tahir, Ryan Preuss, Donna Carolynn Knievel, Steve Rounsley, Zoe Christina Ehlert
  • FINE MAPPING AND VALIDATION OF QTL UNDERLYING FIBER CONTENT AND SEED COAT COLOR TRAITS AND IDENTIFICATION OF SNP MARKERS FOR MARKER ASSISTED SELECTION OF THESE TRAITS DERIVED FROM YELLOW SEED COAT (YSC) CANOLA LINE YN01-429 AND ITS LINEAGE
    Publication number: 20170332593
    Abstract: A method for identifying a quantitative trait locus associated with desirable nutritional traits in canola includes: analyzing a population of canola plants or germplasm for desirable nutritional traits; determining the genotype of the canola plants or germplasm using at least one marker selected from the group consisting of SEQ ID NO:1 through SEQ ID NO:111; mapping the canola plants or germplasm for the presence of a quantitative trait locus (QTL) associated with the markers; and associating the QTL with the desirable nutritional trait. An isolated and/or recombinant nucleic acid includes a sequence associated with a quantitative trait locus (QTL), wherein the QTL is associated with a desirable nutritional trait in a canola plant or germplasm and wherein the QTL is further associated with at least one marker selected from the group consisting of SEQ ID NO:1 through SEQ ID NO:111.
    Type: Application
    Filed: December 18, 2015
    Publication date: November 23, 2017
    Inventors: Shunxue Tang, Van Ripley, Tom G. Patterson, Michelle Wiggins, Josh Flook, Cherie Ochsenfeld, Daniel Garcia, Syed Masood Rizvi, Muhammad Tahir, Ryan Preuss, Donna Knievel, Steve Rounsley, Zoe Ehlert