KMap
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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
- PBGPlant Breeding and Genetics
- CSPCrop Science and Production
Grants
- Revealing the Mechanisms of Effective Use of Water in Cotton
Principal Investigator (PI)
2023
$40.0K
Active - Linking Metabolism to Physiology and Yield Performance for Improving Heat and Drought Stress Tolerance in Cotton
Co-Investigator (COI)
2023
$25.0K
Active - Improving USA and Australian Cotton Production Systems through Exchange in Knowledge
Principal Investigator (PI)
2023
$15.0K
Active - RESEARCH-PGR: Exploring the Genetics of Drought Resistance with Field-based Phenomics and Biophysical Process-based Modeling
Principal Investigator (PI)
2022
$640.0K
Active - Harnessing Regulatory Variation to Elucidate Drought Resilience Mechanisms in Sorghum
Principal Investigator (PI)
2022
$241.5K
Active - Genetic Mapping of Important Traits in Upland Cotton
Principal Investigator (PI)
2022
$60.0K
Active - STC: Center for Research On Programmable Plant Systems
Co-Investigator (COI)
2021
$961.8K
Active - Enhancing Resource Utilization for Sustainable Lettuce Production in Changing Climates
Principal Investigator (PI)
2021
$236.9K
Active - Improving Phenomic and Genomic Resources for Resilient Relative of Common Bean - Tepary Bean - Phaseolus Acutifolius
Principal Investigator (PI)
2021
$20.0K
Active - 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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