KMap
The long-term goals of my research program are to understand and utilize the genetic and functional phenotypic variation present in plant populations to responsibly address the challenges facing a growing global population including food and fiber security. The research program is composed of three separate but synergistic areas that combine to elucidate the genetic mechanisms responsible for key agronomic, quality, and stress-adaptive traits that are critical to crop production in areas prone to intense abiotic stress pressures. The first area is centered on identifying and characterizing existing genomic variation in plant populations to better understand the dynamics of phenotypic diversity. The second area concentrates on using emerging high-throughput phenotyping (HTP) technologies to quantify and record complex phenotypes that are responsive to environmental fluctuations throughout the plant’s life cycle in order to understand temporal trait expression patterns. The final area is focused on discovering allelic variants and causative genes responsible for observed phenotypic variation through the use of genetic mapping populations and statistical methods. Together, my research program’s findings are used to more efficiently develop improved crop cultivars that are capable of meeting the socioeconomic demands and environmental constraints of the future.

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Courses
  • PBG
    Plant Breeding and Genetics

  • CSP
    Crop Science and Production

Grants
  • Funding agency logo
    Revealing the Mechanisms of Effective Use of Water in Cotton

    Principal Investigator (PI)

    2023

    $40.0K
    Active
  • Funding agency logo
    Linking Metabolism to Physiology and Yield Performance for Improving Heat and Drought Stress Tolerance in Cotton

    Co-Investigator (COI)

    2023

    $25.0K
    Active
  • Funding agency logo
    Improving USA and Australian Cotton Production Systems through Exchange in Knowledge

    Principal Investigator (PI)

    2023

    $15.0K
    Active
  • Funding agency logo
    RESEARCH-PGR: Exploring the Genetics of Drought Resistance with Field-based Phenomics and Biophysical Process-based Modeling

    Principal Investigator (PI)

    2022

    $640.0K
    Active
  • Funding agency logo
    Harnessing Regulatory Variation to Elucidate Drought Resilience Mechanisms in Sorghum

    Principal Investigator (PI)

    2022

    $241.5K
    Active
  • Funding agency logo
    Genetic Mapping of Important Traits in Upland Cotton

    Principal Investigator (PI)

    2022

    $60.0K
    Active
  • Funding agency logo
    STC: Center for Research On Programmable Plant Systems

    Co-Investigator (COI)

    2021

    $961.8K
    Active
  • Funding agency logo
    Enhancing Resource Utilization for Sustainable Lettuce Production in Changing Climates

    Principal Investigator (PI)

    2021

    $236.9K
    Active
  • Funding agency logo
    Improving Phenomic and Genomic Resources for Resilient Relative of Common Bean - Tepary Bean - Phaseolus Acutifolius

    Principal Investigator (PI)

    2021

    $20.0K
    Active
  • Funding agency logo
    NRT-URoL: BRIDGES - Building Resources for InterDisciplinary training in Genomic and Ecosystem Sciences

    Key Personnel (KP)

    2020

    $3.0M
    Active
Technologies / Patents
      News
      • Researchers Develop Tools to Listen, Talk to Plants with $25M from NSF

        2021

      • $3M Grant Helps Students Bridge Sciences to Solve the World's Biggest Problems

        2020

      Publications (30)
      Recent
      • Agronomic Outcomes of Precision Irrigation Management Technologies with Varying Complexity

        2022

      • span style= font-size:10pt; Characterization of Leaf Cuticular Wax Composition on a Diverse Collection of Lettuce /span

        2022

      • p span style= font-size:11pt;background-color:transparent; Characterization of Leaf Cuticular Wax Composition on a Diverse Collection of Lettuce ( /span span style= font-size:11pt;background-color:transparent;font-style:italic; Lactuca sativa /span span style= font-size:11pt;background-color:transparent; L.) /span /p span span style= font-size:11pt;background-color:transparent; br /span /span

        2022

      • Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data

        2021

      • Comparison of image georeferencing strategies for agricultural applications of small unoccupied aircraft systems

        2021

      • MegaStitch: Robust Large Scale Image Stitching

        2021

      • A minimally disruptive method for measuring water potential in planta using hydrogel nanoreporters

        2021

      • Multi-resolution Outlier Pooling for Sorghum Classification

        2021

      • Subsurface measurements of nitrogen dynamics in agricultural soil

        2021

      • FLIP: FLuorescence Imaging Pipeline for field-based chlorophyll fluorescence images

        2021

      • Combined effects of a glycine-rich RNA-binding protein and a NAC transcription factor extend grain fill duration and improve malt barley agronomic performance

        2021

      • Assessing Drought and Heat Stress-Induced Changes in the Cotton Leaf Metabolome and Their Relationship With Hyperspectral Reflectance

        2021

      • Real-Time in-situ Measurements of Subsurface Volatile Organic Compounds as Tracers for Crop Signaling

        2021

      • Use of hydraulic traits for modeling genotype-specific acclimation in cotton under drought

        2020

      • Chlorophyll fluorescence imaging captures photochemical efficiency of grain sorghum (Sorghum bicolor) in a field setting

        2020

      • Genome-wide association study identifies acyl-lipid metabolism candidate genes involved in the genetic control of natural variation for seed fatty acid traits in Brassica napus L.

        2020

      • UAV-BASED SORGHUM GROWTH MONITORING: A COMPARATIVE ANALYSIS OF LIDAR AND PHOTOGRAMMETRY.

        2020

      • UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

        2019

      • Transcriptomic and evolutionary analysis of the mechanisms by which P. argentatum, a rubber producing perennial, responds to drought

        2019

      • Comparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cotton

        2019

      • A Low-Cost Automated System for High-Throughput Phenotyping of Single Oat Seeds

        2018

      • Multivariate analysis of the cotton seed ionome reveals a shared genetic architecture

        2018

      • Mapping of Gene in Barley Using GWAS Approach and Its Implication in Salt Tolerance Mechanism

        2018

      • Investigation of the Influence of Leaf Thickness on Canopy Reflectance and Physiological Traits in Upland and Pima Cotton Populations

        2017

      • Influences of the combination of high temperature and water deficit on the heritabilities and correlations of agronomic and fiber quality traits in upland cotton

        2017

      • Chemical variation for fiber cuticular wax levels in upland cotton (Gossypium hirsutum L.) evaluated under contrasting irrigation

        2017

      • The Quest for Understanding Phenotypic Variation via Integrated Approaches in the Field Environment

        2016

      • Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative Trait Loci Associated with Stress-Responsive Traits in Cotton

        2016

      • Identification of Malting Quality QTLs in Advanced Generation Breeding Germplasm

        2015

      • Association Mapping of Agronomic QTLs in US Spring Barley Breeding Germplasm

        2014

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