# positions[].organizations[].parent[].label
College of Agriculture and Life Sciences

# positions[].organizations[].label
College of Agriculture and Life Sciences

# overview
Dr. Murray's research interests focus on improving the productivity, sustainability (economic and environmental) and quality of agricultural production through scientific research and development; mostly in maize (corn). The approaches used to conduct this research include 1) high-throughput field phenotyping (UAVs/drones, ground vehicles, NIRS), 2) molecular quantitative genetic discovery (including QTL mapping, GWAS), 3) statistical modeling and novel analysis methods (including big data and metanalysis), 4) development of new breeding and genetics approaches (including use of computer simulations), and ultimately 5) applied maize (corn) field breeding (classical and molecular). Primary traits of interest for discovering genetic variation and improving in maize for are yield, southern adaptation, stress (aflatoxin resistance, drought tolerance), plant height, composition (colored grain, high grain antioxidants, low phosphorus), and perennialism. Graduate student training is deeply embedded in all of my research.

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
3002 Agriculture, Land And Farm Management

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
3002 Agriculture, Land And Farm Management

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
Stem Cell Research - Nonembryonic - Non-human

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
3002 Agriculture, Land And Farm Management

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
3102 Bioinformatics And Computational Biology

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
3002 Agriculture, Land And Farm Management

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
3002 Agriculture, Land And Farm Management

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
30 Agricultural, Veterinary And Food Sciences

# keywords[]
Fourier Transform Near Infrared Reflectance (ft-nir)

# educationAndTraining[].organization.label
Cornell University - (Ithaca, New York, United States)

# educationAndTraining[].organization.label
Michigan State University - (East Lansing, Michigan, United States)

# awardsAndHonors[].label
Blavatnik National Award for Young Scientists in Life Sciences

# awardsAndHonors[].label
Blavatnik National Award for Young Scientists in Life Sciences

# awardsAndHonors[].label
Dean's Outstanding Achievement Award for Interdisciplinary Research

# publications[].label
Estimation of Rhizome Composition and Overwintering Ability in Perennial Sorghum spp. Using Near-Infrared Spectroscopy (NIRS)

# publications[].label
Diallel Analysis of Diverse Maize Germplasm Lines for Agronomic Characteristics

# publications[].label
Phenomic selection and prediction of maize grain yield from nearinfrared reflectance spectroscopy of kernels

# publications[].label
Identification of Resistance to Aflatoxin Accumulation and Yield Potential in Maize Hybrids in the Southeast Regional Aflatoxin Trials (SERAT)

# publications[].label
Detecting novel plant pathogen threats to food system security by integrating the Plant Reactome and remote sensing.

# publications[].label
Diallel Analysis of Diverse Maize Germplasm Lines for Resistance to Aflatoxin Accumulation

# publications[].label
Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations.

# publications[].label
Genome-Wide Association and Metabolic Pathway Analysis of Corn Earworm Resistance in Maize.

# publications[].label
2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project.

# publications[].label
Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis.

# publications[].label
Association of Insect-Derived Ear Injury With Yield and Aflatoxin of Maize Hybrids Varying in Bt Transgenes.

# publications[].label
Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression

# publications[].label
Accurate prediction of maize grain yield using its contributing genes for gene-based breeding.

# publications[].label
A proposal to use gamete cycling in vitro to improve crops and livestock.

# publications[].label
Research imagery and spectral characteristics of rice sheath blight using three portable sensors

# publications[].publisher
American Society of Agricultural and Biological Engineers (ASABE)

# publications[].label
High throughput can produce better decisions than high accuracy when phenotyping plant populations

# publications[].label
Feasibility of surface-enhanced Raman spectroscopy for rapid detection of aflatoxins in maize.

# publications[].label
Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions

# publications[].label
Registration of Maize Germplasm Lines Tx736, Tx739, and Tx740 for Reducing Preharvest Aflatoxin Accumulation

# publications[].id
plotshpcreate: Create Multi-Polygon Shapefiles for Extraction of Research Plot Scale Agriculture Remote Sensing Data.

# publications[].label
Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize.

# publications[].label
The effect of artificial selection on phenotypic plasticity in maize.

# publications[].label
AI in Agriculture: Opportunities, Challenges, and Recommendations

# publications[].publisher
Council for Agricultural Science and Technology

# publications[].label
Differentiation of Seed, Sugar, and Biomass-Producing Genotypes in Saccharinae Species

# publications[].label
A single polyploidization event at the origin of the tetraploid genome of Coffea arabica is responsible for the extremely low genetic variation in wild and cultivated germplasm.

# publications[].label
Genetic Improvement of Sorghum as a Biofuel Feedstock: I. QTL for Stem Sugar and Grain Nonstructural Carbohydrates

# publications[].label
Genome-Wide Association Mapping of Aspergillus flavus and Aflatoxin Accumulation Resistance in Maize

# publications[].label
Genetic Improvement of Sorghum as a Biofuel Feedstock: II. QTL for Stem and Leaf Structural Carbohydrates

# publications[].label
Position Statement on Crop Adaptation to Climate Change

# publications[].label
Rust and Thinning Management Effect on Cup Quality and Plant Performance for Two Cultivars of Coffea arabica L.

# publications[].id
plotshpcreate: Create Multi-Polygon Shapefiles for Extraction of Research Plot Scale Agriculture Remote Sensing Data

# publications[].label
Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions

# publications[].label
Candidate genes in coffee (                   Coffea arabica                   L.) leaves associated with rust (                   Hemileia vastatrix                   Berk. & Br) stress

# publications[].label
Candidate genes in coffee ( Coffea arabica L.) leaves associated with rust ( Hemileia vastatrix Berk. & Br) stress

# publications[].label
Molecular characterization and phylogenetic analysis of ZmMCUs in maize

# publications[].label
A multi-environment trial analysis shows slight grain yield improvement in Texas commercial maize

# publications[].label
Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets.

# publications[].label
Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms.

# publications[].label
Accurate prediction of complex traits for individuals and offspring from parents using a simple, rapid, and efficient method for gene-based breeding in cotton and maize.

# publications[].label
Characterization of genetic diversity and linkage disequilibrium of ZmLOX4 and ZmLOX5 loci in maize.

# publications[].label
Confirmation of QTL Reducing Aflatoxin in Maize Testcrosses

# publications[].label
Genetic Variation for Maize Epicuticular Wax Response to Drought Stress at Flowering

# publications[].label
Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project.

# publications[].label
Optical Sensors Advancing Precision in Agricultural Production

# publications[].label
Estimation and classification of popping expansion capacity in popcorn breeding programs using NIR spectroscopy

# publications[].label
Genetic diversity and population structure analysis of accessions in the US historic sweet sorghum collection.

# publications[].label
Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions.

# publications[].label
Plant breeding for harmony between agriculture and the environment

# publications[].label
Evaluation of Elite Maize Inbred Lines for Reduced Aspergillus flavus Infection, Aflatoxin Accumulation, and Agronomic Traits

# publications[].label
Genetics, Genomics and Breeding of Maize

# publications[].label
Phenomic Data-Facilitated Rust and Senescence Prediction in Maize Using Machine Learning Algorithms

# publications[].label
Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images

# publications[].label
A diallel analysis of a maize donor population response to in vivo maternal haploid induction: II. Haploid male fertility

# publications[].label
Analysis of the genes controlling three quantitative traits in three diverse plant species reveals the molecular basis of quantitative traits.

# publications[].label
2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative.

# publications[].label
Phenomic data-driven biological prediction of maize through field-based high throughput phenotyping integration with genomic data.

# publications[].label
Environment-specific selection alters flowering-time plasticity and results in pervasive pleiotropic responses in maize.

# publications[].label
An empirical evaluation of three vibrational spectroscopic methods for detection of aflatoxins in maize.

# publications[].label
Report from the conference, 'identifying obstacles to applying big data in agriculture'

# publications[].label
High clearance phenotyping systems for season-long measurement of corn, sorghum and other row crops to complement unmanned aerial vehicle systems

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment.

# publications[].label
Maize genomes to fields (G2F): 2014-2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets.

# publications[].label
Targeted mapping of quantitative trait locus regions for rhizomatousness in chromosome SBI-01 and analysis of overwintering in a Sorghum bicolorS. propinquum population.

# publications[].label
Genome wide association study for drought, aflatoxin resistance, and important agronomic traits of maize hybrids in the sub-tropics.

# publications[].label
Characterizing canopy height with UAS structure-from-motion photogrammetryresults analysis of a maize field trial with respect to multiple factors

# publications[].label
Phenotypic and Genetic Characterization of a Maize Association Mapping Panel Developed for the Identification of New Sources of Resistance to Aspergillus flavus and Aflatoxin Accumulation

# publications[].label
Combining Ability for Total Phenols and Secondary Traits in a Diverse Set of Colored (Red, Blue, and Purple) Maize

# publications[].label
Designing a nitrogen-efficient cold-tolerant maize for modern agricultural systems.

# publications[].label
Deep Learning-Based High-Throughput Phenotyping Of Maize (Zea mays L.) Tasseling From Uas Imagery Across Environments

# publications[].label
Development of novel perennial Sorghum bicolor x S. propinquum hybrids

# publications[].label
Perennial Questions of Hydrology and Climate Response

# publications[].publisher
American Association for the Advancement of Science (AAAS)

# publications[].label
Registration of Perennial Sorghum bicolor x S. propinquum Line PSH12TX09

# publications[].label
UAS imaging for automated crop lodging detection: a case study over an experimental maize field

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
MULTI-PLATFORM UAS IMAGING FOR CROP HEIGHT ESTIMATION: PERFORMANCE ANALYSIS OVER AN EXPERIMENTAL MAIZE FIELD

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Relative utility of agronomic, phenological, and morphological traits for assessing genotype-by-environment interaction in maize inbreds

# publications[].label
Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize.

# publications[].label
Control of aflatoxin using atoxigenic strains and irrigation management is complicated by maize hybrid diversity

# publications[].label
Genome-wide identification of genes enabling accurate prediction of hybrid performance from parents across environments and populations for gene-based breeding in maize.

# publications[].label
Four-Parent Maize (FPM) Population: Development and Phenotypic Characterization

# publications[].label
Near-infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments.

# publications[].label
Comprehensive UAV agricultural remote-sensing research at Texas A&M University

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Validation of functional polymorphisms affecting maize plant height by unoccupied aerial systems discovers novel temporal phenotypes.

# publications[].label
Genetic variation in hydrogen cyanide potential of perennial sorghum evaluated by colorimetry.

# publications[].label
Temporal Image Sandwiches Enable Link between Functional Data Analysis and Deep Learning for Single-Plant Cotton Senescence

# publications[].label
Temporal image sandwiches enable link between functional data analysis and deep learning for single-plant cotton senescence

# publications[].label
Influence of Genetic Background on Anthocyanin and Copigment Composition and Behavior during Thermoalkaline Processing of Maize.

# publications[].label
Phenotypic plasticity in maize grain yield: Genetic and environmental insights of response to environmental gradients.

# publications[].label
Assessing the impact of corn variety and Texas terroir on flavor and alcohol yield in new-make bourbon whiskey.

# publications[].label
Quality Protein Maize Germplasm Characterized for Amino Acid Profiles and Endosperm Opacity

# publications[].label
The Genomic Basis for Short-Term Evolution of Environmental Adaptation in Maize.

# publications[].label
Yield, Insect-Derived Ear Injury, and Aflatoxin Among Developmental and Commercial Maize Hybrids Adapted to the North American Subtropics.

# publications[].label
Corn and sorghum phenotyping using a fixed-wing UAV-based remote sensing system

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Hallauer's Tusn: a decade of selection for tropical-to-temperate phenological adaptation in maize.

# publications[].label
Crop wild relatives: more common ground for breeders and ecologists Response

# publications[].label
Selection mapping of loci for quantitative disease resistance in a diverse maize population.

# publications[].label
Identification of naturally occurring atoxigenic strains of Fusarium verticillioides and their potential as biocontrol agents of mycotoxins and ear rot pathogens of maize

# publications[].label
Root system size and root hair length are key phenes for nitrate acquisition and biomass production across natural variation in Arabidopsis.

# publications[].label
Plant science decadal vision 2020-2030: Reimagining the potential of plants for a healthy and sustainable future.

# publications[].label
Molecular analysis of genetic diversity in a Texas maize (Zea mays L) breeding program

# publications[].label
Four Parent Maize (FPM) Population: Effects of Mating Designs on Linkage Disequilibrium and Mapping Quantitative Traits.

# publications[].label
Challenges of detecting directional selection after a bottleneck: lessons from Sorghum bicolor.

# publications[].label
Rapid Estimation of Phenolic Content in Colored Maize by Near-Infrared Reflectance Spectroscopy and Its Use in Breeding

# publications[].label
QTLs for Energy-related Traits in a Sweet x Grain Sorghum [Sorghum bicolor (L.) Moench] Mapping Population

# publications[].label
QTLs for Energy-related Traits in a Sweet x Grain Sorghum [Sorghum bicolor (L.) Moench] Mapping Population

# publications[].label
Sweet Sorghum Genetic Diversity and Association Mapping for Brix and Height

# publications[].label
Tx741, Tx777, Tx779, Tx780, and Tx782 Inbred Maize Lines for Yield and Southern United States Stress Adaptation

# publications[].label
Registration of tropical populations of maize selected in parallel for early flowering time across the United States

# publications[].label
Temporal field phenomics allows discovery of nature AND nurture, so can we saturate the phenome?

# publications[].label
Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci.

# publications[].label
Harnessing Agronomics Through Genomics and Phenomics in Plant Breeding: A Review

# publications[].label
Agriculture. Increased food and ecosystem security via perennial grains.

# publications[].publisher
American Association for the Advancement of Science (AAAS)

# publications[].label
Near Infrared Reflectance Spectroscopy Phenomic and Genomic Prediction of Maize Agronomic and Composition Traits Across Environments

# publications[].label
Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery

# publications[].label
Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research.

# researcherOn[].label
Reducing pre-harvest losses from aflatoxin in maize production through integrated breeding and pest management strategies

# researcherOn[].awardedBy.label
United States Department of Agriculture - (Washington D.C., District of Columbia, United States)

# researcherOn[].awardedBy.preferredLabel
USDA-National Institute of Food And Agriculture

# researcherOn[].awardedBy.label
United States Department of Agriculture - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Field Phenomics and Quantitative Genetics in Applied Maize Breeding

# researcherOn[].awardedBy.label
National Institute of Food and Agriculture - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Aerial and Ground Phenotyping Analytical Tool Development for Plant Breeders Using the Maize G2F project

# researcherOn[].awardedBy.label
United States Department of Agriculture - (Washington D.C., District of Columbia, United States)

# researcherOn[].awardedBy.preferredLabel
USDA-National Institute of Food And Agriculture

# researcherOn[].label
Breeding Corn for Favorable Agronomic Characteristics and Enhanced Resistance to Aflatoxin Accumulation

# researcherOn[].awardedBy.label
Agricultural Research Service - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Breeding Corn for Resistance to Aflatoxin Contamination

# researcherOn[].awardedBy.label
Agricultural Research Service - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Improved short season cowpeas and development of unmanned aerial system (UAS) and other phenotyping tools to advance pulse breeding

# researcherOn[].awardedBy.label
Agricultural Research Service - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Breeding Corn for Resistance To Aspergillus Flavus Infection and Aflatoxin Accumulation

# researcherOn[].awardedBy.label
Agricultural Research Service - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Breeding Corn for Favorable Agronomic Characteristics and Enhanced Resistance to Aflatoxin Accumulation

# researcherOn[].awardedBy.label
Agricultural Research Service - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Quantitative Genetics and Maize Breeding

# researcherOn[].awardedBy.label
National Institute of Food and Agriculture - (Washington D.C., District of Columbia, United States)

# streetAddress
Texas A&M University; Soil & Crop Science; 2474 TAMU

# organizations[]
College of Agriculture and Life Sciences

# schools[]
College of Agriculture and Life Sciences

# inTheNews[].label
Whiskey: The proof is in the taste says Texas A&M Student

# inTheNews[].label
Texas A&M corn breeder named Blavatnik award finalist

# inTheNews[].label
For Whiskey, The Proof Is In The Taste, Says Texas A&M Student

# inTheNews[].label
Research Expected To Improve Predictions On Plant Growth

# inTheNews[].label
AgriLife collaborates on plant phenotyping research

# inTheNews[].label
Plant Science Research Network releases action plan

# inTheNews[].label
Artificial intelligence in agriculture online workshop July 17

# inTheNews[].label
Texas A&M Researcher Creating Better Corn Yields, Quality On Less Land

# etdChairOf[].label
Mahan, Adam Lyle (2015-05). Developing the Four Parent Maize Population (FPM): Phenotypic and Genotypic Characterization. Doctoral Dissertation.

# etdChairOf[].label
Smith, Schuyler (2015-05). Molecular Characterization of the Texas Maize Breeding Program. Master's Thesis.

# etdChairOf[].label
Anderson II, Steven Langlie (2016-05). Improving Breeding Selection Efficiency: Advanced Population Designs and In Vitro Technology. Master's Thesis.

# etdChairOf[].label
Barrero Farfan, Ivan D. (2013-08). Exploiting Historical Data and Diverse Germplasm to Increase Maize Grain Yield in Texas. Doctoral Dissertation.

# etdChairOf[].label
Washburn, Jacob (2012-08). Trait Correlation and Confirmation of QTLs for Rhizome Growth and Over-wintering in Sorghum. Master's Thesis.

# etdChairOf[].label
Mahan, Adam Lyle (2012-08). Genetic Combining Analysis of Food-Grade Maize: Colored and Quality Protein. Master's Thesis.

# etdChairOf[].label
Meeks, Meghyn (2010-12). Two Approaches to Evaluate Drought Tolerance in Maize: Seedling Stress Response and Epicuticular Wax Accumulation. Master's Thesis.

# etdChairOf[].label
Chen, Yuanyuan (2016-12). High-density Linkage Map Construction, Mapping of Agronomic Traits in Tropical Maize (Zea Mays L.) and Validating SNPs Controlling Maize Grain Yield and Plant Height in Southern Hybrid Testcrosses. Doctoral Dissertation.

# etdChairOf[].label
Kanchi, Rupa Sridevi (2015-05). Recombination Studies and Development of QTL-Targeted Tiled Introgression Libraries by Marker-Assisted Backcrossing across Four Maize Chromosomal Segments. Doctoral Dissertation.

# etdChairOf[].label
De La Fuente, Gerald (2012-05). Breeding Maize for Drought Tolerance: Diversity Characterization and Linkage Disequilibrium of Maize Paralogs ZmLOX4 and ZmLOX5. Master's Thesis.

# etdChairOf[].label
Mayfield, Kerry Lucas (2011-05). Improving Maize by QTL Mapping, Agronomic Performance and Breeding to Reduce Aflatoxin in Texas. Doctoral Dissertation.

# etdChairOf[].label
Christman, Justine Lee (2017-05). Development of Near Infrared Reflectance Spectroscopy (NIRS) Calibrations of Maize Kernel Phosphorus for the Identification of Useful Breeding Material. Master's Thesis.