Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Kelly R Thorp

Showing results (1-10 of 21) with videos related to

Pageof 3
Sort By:
Plant Methods|January 1, 2020
A high-throughput quantification of resin and rubber contents in <i>Parthenium argentatum</i> using near-infrared (NIR) spectroscopyZinan Luo, Kelly R Thorp, Hussein Abdel-Haleem
Frontiers in Plant Science|December 6, 2024
Phenotyping cotton leaf chlorophyll via <i>in situ</i> hyperspectral reflectance sensing, spectral vegetation indices, and machine learningKelly R Thorp, Alison L Thompson, Matthew T Herritt
Plos One|June 30, 2015
Hydrologic-Process-Based Soil Texture Classifications for Improved Visualization of Landscape FunctionDerek G Groenendyk, Ty P A Ferré, Kelly R Thorp, et al.
The Science of the Total Environment|April 12, 2019
Energy consumption due to groundwater pumping for irrigation in the North China PlainXiuzhi Chen, Kelly R Thorp, Zhiyun Ouyang, et al.
Plos One|April 20, 2018
Estimating parametric phenotypes that determine anthesis date in Zea mays: Challenges in combining ecophysiological models with geneticsAbhishes Lamsal, Stephen M Welch, Jeffrey W White, et al.
Frontiers in Plant Science|November 8, 2021
Assessing Drought and Heat Stress-Induced Changes in the Cotton Leaf Metabolome and Their Relationship With Hyperspectral ReflectanceGiovanni Melandri, Kelly R Thorp, Corey Broeckling, et al.
Environmental Science & Technology|December 2, 2011
Verifiable metamodels for nitrate losses to drains and groundwater in the Corn Belt, USABernard T Nolan, Robert W Malone, Jo Ann Gronberg, et al.
Plant Methods|July 23, 2020
A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping systemAlison L Thompson, Kelly R Thorp, Matthew M Conley, et al.
Frontiers in Plant Science|June 6, 2018
Deploying a Proximal Sensing Cart to Identify Drought-Adaptive Traits in Upland Cotton for High-Throughput PhenotypingAlison L Thompson, Kelly R Thorp, Matthew Conley, et al.
The New Phytologist|June 20, 2020
Use of hydraulic traits for modeling genotype-specific acclimation in cotton under droughtDiane R Wang, Martin D Venturas, D Scott Mackay, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Plant Methods|January 1, 2020
A high-throughput quantification of resin and rubber contents in <i>Parthenium argentatum</i> using near-infrared (NIR) spectroscopyZinan Luo, Kelly R Thorp, Hussein Abdel-Haleem
Frontiers in Plant Science|December 6, 2024
Phenotyping cotton leaf chlorophyll via <i>in situ</i> hyperspectral reflectance sensing, spectral vegetation indices, and machine learningKelly R Thorp, Alison L Thompson, Matthew T Herritt
Plos One|June 30, 2015
Hydrologic-Process-Based Soil Texture Classifications for Improved Visualization of Landscape FunctionDerek G Groenendyk, Ty P A Ferré, Kelly R Thorp, et al.
The Science of the Total Environment|April 12, 2019
Energy consumption due to groundwater pumping for irrigation in the North China PlainXiuzhi Chen, Kelly R Thorp, Zhiyun Ouyang, et al.
Plos One|April 20, 2018
Estimating parametric phenotypes that determine anthesis date in Zea mays: Challenges in combining ecophysiological models with geneticsAbhishes Lamsal, Stephen M Welch, Jeffrey W White, et al.
Frontiers in Plant Science|November 8, 2021
Assessing Drought and Heat Stress-Induced Changes in the Cotton Leaf Metabolome and Their Relationship With Hyperspectral ReflectanceGiovanni Melandri, Kelly R Thorp, Corey Broeckling, et al.
Environmental Science & Technology|December 2, 2011
Verifiable metamodels for nitrate losses to drains and groundwater in the Corn Belt, USABernard T Nolan, Robert W Malone, Jo Ann Gronberg, et al.
Plant Methods|July 23, 2020
A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping systemAlison L Thompson, Kelly R Thorp, Matthew M Conley, et al.
Frontiers in Plant Science|June 6, 2018
Deploying a Proximal Sensing Cart to Identify Drought-Adaptive Traits in Upland Cotton for High-Throughput PhenotypingAlison L Thompson, Kelly R Thorp, Matthew Conley, et al.
The New Phytologist|June 20, 2020
Use of hydraulic traits for modeling genotype-specific acclimation in cotton under droughtDiane R Wang, Martin D Venturas, D Scott Mackay, et al.
Pageof 3