TERRA-REF Documentation
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  • Introduction
  • Data Sources
  • Software
  • Scientific Objectives and Experimental Design
    • Protocols
      • Controlled Environment Protocols
      • Manual Field Data Protocols
      • Phenotractor Protocols
      • Sensor Calibration
      • Template Protocol
      • UAV Protocols
    • Experimental Design
      • Experimental Design Danforth
        • Sorghum Lines Danforth
      • Experimental Design Genomics
        • Sorghum Lines Genomics Year 1
        • Sorghum Lines Genomics Year 1 (continued)
        • Sorghum Lines Genomics Year 2
      • Experimental Design MAC
  • User Manual
    • What Data is Available
    • Data Products
      • Environmental conditions
      • Fluorescence intensity imaging
      • Genomics data
      • Geospatial information
      • Hyperspectral imaging data
      • Infrared heat imaging data
      • Multispectral imaging data
      • Meteorological data
      • Phenotype data
      • Point Cloud Data
    • How to Access Data
      • Using Clowder (Sensor and Genoomics data)
      • Using Globus (Sensor and Genomics data)
      • Using BETYdb (trait data, experimental metadata)
        • Accessing BETYdb via ArcMap and other GIS software
      • Using CoGe (Genomics)
      • Using CyVerse (Genomics)
      • Using Analysis Workbench (all data)
    • Data Use Policy
    • Manuscripts and Authorship Guidelines
    • Release / reprocessing schedule
  • Technical Documentation
    • Data Standards
      • Existing Data Standards
      • Agronomic and Phenotype Data Standards
      • Genomic Data Standards
      • Sensor Data Standards
      • Data Standards Committee
    • Directory Structure
    • Data Storage
    • Data Transfer
    • Data Processing Pipeline
      • Geospatial Time Series Structure
    • Data Backup
    • Data Collection
    • Data Product Creation
      • Genomic Data
      • Hyperspectral Data
    • Quality Assurance and Quality Control
    • Systems Configuration
  • Developer Manual
    • Submitting data to Clowder
    • Submitting data to BETYdb
    • Submitting Data to CoGe
    • Developing Clowder Extractors
  • Tutorials
  • Appendix
    • Code of Conduct
    • Collaboration Tools
    • Glossary
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  • Phenotyping
  • Genotyping
  • Maricopa Agricultural Center (MAC), Arizona
  • Automated Field Scanner System
  • Phenotractor
  • UAV
  • Manually collected field data
  • Automated controlled-environment phenotyping, Missouri
  • Kansas State University
  • HudsonAlpha - Genomics
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Scientific Objectives and Experimental Design

PreviousSoftwareNextProtocols

Last updated 7 years ago

Phenotyping

The TERRA-REF project is phenotyping the same genotypes of sorghum at multiple locations

  • Automated Lemnatec Scanalyzer Field System at (MAC)

  • on parallel plots at and Kansas State University (KSU)

  • platform on parallel plots at KSU

  • at the

    • at all locations

Genotyping

is being carried out on ~ to understand the landscape of genetic variation in the selected germplasm and enable high-resolution mapping of bioenergy traits with genome wide association studies (GWAS). Additionally, ~200 sorghum recombinant inbred lines (RILs) will be characterized with ~400,000 genetic markers using genotyping-by-sequencing () for trait dissection in the RIL population and testcross hybrids of the RIL population.

Maricopa Agricultural Center (MAC), Arizona

Three hundred thirty one . Plantings occurred both under and west of the gantry system.

  • Field layouts and in 2016.

Automated Field Scanner System

Phenotractor

UAV

Coming 2017

Manually collected field data

In progress

Automated controlled-environment phenotyping, Missouri

  • RGB imaging allows visualization and quantification of plant color and structural morphology, such as leaf area, stem diameter and plant height.

  • NIR imaging enables visualization of water distribution in plants in the near infrared spectrum of 900–1700 nm.

  • Fluorescent imaging uses red light excitation to visualize chlorophyll fluorescence between 680 – 900 nm. The system is equipped with a dark adaptation tunnel preceding the fluorescent imaging chamber, allowing the analysis of photosystem II efficiency.

The LemnaTec software suite is used to program and control the Scanalyzer platform, analyze the digital images and mine resulting data. Data and images are saved and stored on a secure server for further review or reanalysis.

Kansas State University

  • PhenoTractor - Coming 2017

  • UAV - Coming 2017

  • Manually collected field data - Coming 2017

HudsonAlpha - Genomics

  • Coming 2017

The is the largest field crop analytics robot in the world. This high-throughput phenotyping field-scanning robot has a 30-ton steel gantry that autonomously moves along two 200-meter steel rails while continuously imaging the crops growing below it with a diverse array of .

Twelve sensors are attached to the system. Detailed information for each sensor including name, variable measured, and field of view are . The planned sensor missions and their objectives for 2016 are .

The PhenoTractor at MAC is fitted with a sensor frame that supports a real time kinematic (RTK) satellite navigation antenna, a sonar transducer, an infrared temperature (IRT) scanner, and .

The Scanalyzer 3D platform at the consists of multiple digital imaging chambers connected to the Conviron growth house by a conveyor belt system, resulting in a continuous imaging loop. Plants are imaged from the top and/or multiple sides, followed by digital construction of images for analysis.

Maricopa Agricultural Center
PhenoTractors
MAC
UAV
Controlled-environment phenotyping systems
Danforth Center
Manually collected field data
Whole genome resequencing
400 sorghum accessions
Morris et al., 2013
lines were planted in 2016
Experiments planned for 2016
under the gantry
west of the gantry
Lemnatec Scanalyzer Field Scanner System
cameras and sensors
available here
available here
three GreenSeeker crop sensing systems
Bellwether Foundation Phenotyping Facility at the Donald Danforth Plant Science Center