HR job title
- Professor
- Contact Info
- 1 979 845 3469
- Websites
- ORCiD
- 0000-0002-2960-8226
Murray, Seth Professor
Positions
- Eugene Butler Endowed Chair, College of Agriculture and Life Sciences
- Professor, Soil and Crop Sciences, College of Agriculture and Life Sciences
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.
Research Areas
- Overview
- Publications
- Research
- Teaching
- Works By Students
- Background
- Contact
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Overview
Publications
selected publications
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academic article
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Adak, A., DeSalvio, A. J., Arik, M. A., & Murray, S. C.
(2024).
Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize. G3: Genes, Genomes, Genetics.
jkae092.
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DeSalvio, A. J., Adak, A., Murray, S. C., Jarqun, D., Winans, N. D., Crozier, D., & Rooney, W. L.
(2024).
Near-infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments. Plant Genome.
e20454.
-
Adak, A., Murray, S. C., & Washburn, J.
(2024).
Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations. New Phytologist.
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Lima, D. C., Aviles, A. C., Alpers, R. T., Perkins, A., Schoemaker, D. L., Costa, M., ... de Leon, N.
(2023).
2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative. BMC Research Notes.
16(1), 219.
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Adak, A., Murray, S. C., Caldern, C. I., Infante, V., Wilker, J., Varela, J. I., ... Johnson, C. D.
(2023).
Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis. 136(7), 155.
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Adak, A., Kang, M., Anderson, S. L., Murray, S. C., Jarquin, D., Wong, R., & Katzfu, M.
(2023).
Phenomic data-driven biological prediction of maize through field-based high throughput phenotyping integration with genomic data. erad216.
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Lima, D. C., Aviles, A. C., Alpers, R. T., McFarland, B. A., Kaeppler, S., Ertl, D., ... de Leon, N.
(2023).
2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project. BMC Genetics.
24(1), 29.
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Bennett, J. S., Isakeit, T., Borrego, E. J., Odvody, G., Murray, S., & Kolomiets, M. V.
(2023).
Identification of naturally occurring atoxigenic strains of Fusarium verticillioides and their potential as biocontrol agents of mycotoxins and ear rot pathogens of maize. 167, 106197-106197.
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Choquette, N. E., Holland, J. B., Weldekidan, T., Drouault, J., de Leon, N., Flint-Garcia, S., ... Wisser, R. J.
(2023).
Environment-specific selection alters flowering-time plasticity and results in pervasive pleiotropic responses in maize. New Phytologist.
238(2), 737-749.
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Adak, A., Murray, S. C., & Anderson, S. L.
(2023).
Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions. G3: Genes, Genomes, Genetics.
13(1), jkac294.
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De Pessemier, J., Moturu, T. R., Nacry, P., Ebert, R., De Gernier, H., Tillard, P., ... Hermans, C.
(2022).
Root system size and root hair length are key phenes for nitrate acquisition and biomass production across natural variation in Arabidopsis. Journal of Experimental Botany.
73(11), 3569-3583.
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Liu, Y., Zhang, M., Scheuring, C. F., Cilkiz, M., Sze, S., Smith, C. W., ... Zhang, H.
(2022).
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. Plant Science.
316, 111153-111153.
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Pekar, J. J., Murray, S. C., Isakeit, T., Pruter, L. S., Wahl, N. J., & Brewer, M. J.
(2022).
Control of aflatoxin using atoxigenic strains and irrigation management is complicated by maize hybrid diversity. Crop Science.
62(2), 867-879.
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Nakasagga, S., Murray, S. C., Rooney, W. L., Barr, C., Nabukalu, P., Cox, S., & Hoffmann, L.
(2022).
Genetic variation in hydrogen cyanide potential of perennial sorghum evaluated by colorimetry. Plant Direct.
6(10), e448.
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Zhang, M., Liu, Y., Wang, Y., Sze, S., Scheuring, C. F., Qi, X., ... Zhang, H.
(2022).
Genome-wide identification of genes enabling accurate prediction of hybrid performance from parents across environments and populations for gene-based breeding in maize. Plant Science.
324, 111424-111424.
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DeSalvio, A. J., Adak, A., Murray, S. C., Wilde, S. C., & Isakeit, T.
(2022).
Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms. Scientific Reports.
12(1), 7571.
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Weldekidan, T., Manching, H., Choquette, N., de Leon, N., Flint-Garcia, S., Holland, J., ... Wisser, R. J.
(2022).
Registration of tropical populations of maize selected in parallel for early flowering time across the United States. Journal of Plant Registrations.
16(1), 100-108.
-
Lane, H. M., & Murray, S. C.
(2021).
High throughput can produce better decisions than high accuracy when phenotyping plant populations. Crop Science.
61(5), 3301-3313.
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White, E. L., Thomasson, J. A., Auvermann, B., Kitchen, N. R., Pierson, L. S., Porter, D., ... Werner, F.
(2021).
Report from the conference, 'identifying obstacles to applying big data in agriculture'. Precision Agriculture.
22(1), 306-315.
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Adak, A., Murray, S. C., Bozinovic, S., Lindsey, R., Nakasagga, S., Chatterjee, S., Anderson, S., & Wilde, S.
(2021).
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. Remote Sensing.
13(11), 2141-2141.
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Rogers, A. R., Dunne, J. C., Romay, C., Bohn, M., Buckler, E. S., Ciampitti, I. A., ... Holland, J. B.
(2021).
The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment. G3: Genes, Genomes, Genetics.
11(2), jkaa050.
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Adak, A., Murray, S. C., Anderson, S. L., Popescu, S. C., Malambo, L., Romay, M. C., & de Leon, N.
(2021).
Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize. Plant Genome.
14(2), e20102.
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Adak, A., Conrad, C., Chen, Y., Wilde, S. C., Murray, S. C., Anderson Ii, S. L., & Subramanian, N. K.
(2021).
Validation of functional polymorphisms affecting maize plant height by unoccupied aerial systems discovers novel temporal phenotypes. G3: Genes, Genomes, Genetics.
11(6), jkab075-.
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Henkhaus, N., Bartlett, M., Gang, D., Grumet, R., Jordon-Thaden, I., Lorence, A., ... Stern, D.
(2020).
Plant science decadal vision 2020-2030: Reimagining the potential of plants for a healthy and sustainable future. Plant Direct.
4(8), e00252.
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De La Fuente, G. N., Frei, U. K., Trampe, B., Ren, J., Bohn, M., Yana, N., ... Lubberstedt, T.
(2020).
A diallel analysis of a maize donor population response to in vivo maternal haploid induction: II. Haploid male fertility. Crop Science.
60(2), 873-882.
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Scalabrin, S., Toniutti, L., Di Gaspero, G., Scaglione, D., Magris, G., Vidotto, M., ... Bertrand, B.
(2020).
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. Scientific Reports.
10(1), 4642.
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Zhang, M., Cui, Y., Liu, Y., Xu, W., Sze, S., Murray, S. C., Xu, S., & Zhang, H.
(2020).
Accurate prediction of maize grain yield using its contributing genes for gene-based breeding. Genomics.
112(1), 225-236.
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Zhang, M., Liu, Y., Xu, W., Smith, C. W., Murray, S. C., & Zhang, H.
(2020).
Analysis of the genes controlling three quantitative traits in three diverse plant species reveals the molecular basis of quantitative traits. Scientific Reports.
10(1), 10074.
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Foster, T. L., Baldi, H. D., Shen, X., Burson, B. L., Klein, R. R., Murray, S. C., & Jessup, R. W.
(2020).
Development of novel perennial Sorghum bicolor x S. propinquum hybrids. Crop Science.
60(2), 863-872.
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McFarland, B. A., AlKhalifah, N., Bohn, M., Bubert, J., Buckler, E. S., Ciampitti, I., ... de Leon, N.
(2020).
Maize genomes to fields (G2F): 2014-2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets. BMC Research Notes.
13(1), 71.
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Lane, H. M., Murray, S. C., MontesinosLpez, O. A., MontesinosLpez, A., Crossa, J., Rooney, D. K., ... Morgan, C.
(2020).
Phenomic selection and prediction of maize grain yield from nearinfrared reflectance spectroscopy of kernels. Plant Phenome Journal.
3(1),
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Falcon, C. M., Kaeppler, S. M., Spalding, E. P., Miller, N. D., Haase, N., AlKhalifah, N., ... de Leon, N.
(2020).
Relative utility of agronomic, phenological, and morphological traits for assessing genotype-by-environment interaction in maize inbreds. Crop Science.
60(1), 62-81.
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Anderson, S. L., Murray, S. C., Chen, Y., Malambo, L., Chang, A., Popescu, S., Cope, D., & Jung, J.
(2020).
Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci. Plant Direct.
4(5), e00223.
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Pruter, L. S., Brewer, M. J., Murray, S. C., Isakeit, T., Pekar, J. J., & Wahl, N. J.
(2020).
Yield, Insect-Derived Ear Injury, and Aflatoxin Among Developmental and Commercial Maize Hybrids Adapted to the North American Subtropics. Journal of Economic Entomology.
113(6), 2950-2958.
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Ferreira de Oliveira, G. H., Murray, S. C., Cunha Junior, L. C., Gomes de Lima, K. M., Medeiros de Morais, C., de Almeida Teixeira, G. H., & Moro, G. V.
(2020).
Estimation and classification of popping expansion capacity in popcorn breeding programs using NIR spectroscopy. Journal of Cereal Science.
91, 102861-102861.
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Anderson, S. L., & Murray, S. C.
(2020).
R/UAStools::plotshpcreate: Create Multi-Polygon Shapefiles for Extraction of Research Plot Scale Agriculture Remote Sensing Data. Frontiers in Plant Science.
11, 511768.
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Jarquin, D., de Leon, N., Romay, C., Bohn, M., Buckler, E. S., Ciampitti, I., ... Lorenz, A.
(2020).
Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project. Frontiers in Genetics.
11, 592769.
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Wisser, R. J., Fang, Z., Holland, J. B., Teixeira, J., Dougherty, J., Weldekidan, T., ... Hallauer, A.
(2019).
The Genomic Basis for Short-Term Evolution of Environmental Adaptation in Maize. Genetics.
213(4), 1479-1494.
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Murray, S. C., Mayfield, K., Pekar, J., Brown, P., Lorenz, A., Isakeit, T., ... Betran, J.
(2019).
Tx741, Tx777, Tx779, Tx780, and Tx782 Inbred Maize Lines for Yield and Southern United States Stress Adaptation. Journal of Plant Registrations.
13(2), 258-269.
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Pruter, L. S., Brewer, M. J., Weaver, M. A., Murray, S. C., Isakeit, T. S., & Bernal, J. S.
(2019).
Association of Insect-Derived Ear Injury With Yield and Aflatoxin of Maize Hybrids Varying in Bt Transgenes. Environmental Entomology.
48(6), 1401-1411.
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Echeverra-Beirute, F., Murray, S. C., Bertrand, B., & Klein, P. E.
(2019).
Candidate genes in coffee ( Coffea arabica L.) leaves associated with rust ( Hemileia vastatrix Berk. & Br) stress. 7, e27923v1.
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Pekar, J. J., Murray, S. C., Isakeit, T. S., Scully, B. T., Guo, B., Knoll, J. E., ... Xu, W.
(2019).
Evaluation of Elite Maize Inbred Lines for Reduced Aspergillus flavus Infection, Aflatoxin Accumulation, and Agronomic Traits. Crop Science.
59(6), 2562-2571.
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Arnold, R. J., Ochoa, A., Kerth, C. R., Miller, R. K., & Murray, S. C.
(2019).
Assessing the impact of corn variety and Texas terroir on flavor and alcohol yield in new-make bourbon whiskey. PLoS ONE.
14(8), e0220787-e0220787.
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Chu, T., Starek, M. J., Brewer, M. J., Murray, S. C., & Pruter, L. S.
(2018).
Characterizing canopy height with UAS structure-from-motion photogrammetryresults analysis of a maize field trial with respect to multiple factors. Remote Sensing Letters.
9(8), 753-762.
-
AlKhalifah, N., Campbell, D. A., Falcon, C. M., Gardiner, J. M., Miller, N. D., Romay, M. C., ... Lawrence-Dill, C. J.
(2018).
Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets. BMC Research Notes.
11(1), 452.
-
Anderson, S. L., Mahan, A. L., Murray, S. C., & Klein, P. E.
(2018).
Four Parent Maize (FPM) Population: Effects of Mating Designs on Linkage Disequilibrium and Mapping Quantitative Traits. Plant Genome.
11(2), 170102-170102.
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Warburton, M. L., Womack, E. D., Tang, J. D., Thrash, A., Smith, J. S., Xu, W., Murray, S. C., & Williams, W. P.
(2018).
Genome-Wide Association and Metabolic Pathway Analysis of Corn Earworm Resistance in Maize. Plant Genome.
11(1), 170069-170069.
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Mahan, A. L., Murray, S. C., & Klein, P. E.
(2018).
Four-Parent Maize (FPM) Population: Development and Phenotypic Characterization. Crop Science.
58(3), 1106-1117.
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Malambo, L., Popescu, S. C., Murray, S. C., Putman, E., Pugh, N. A., Horne, D. W., ... Bishop, M.
(2018).
Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery. International Journal of Applied Earth Observation and Geoinformation.
64, 31-42.
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Echeverria-Beirute, F., Murray, S. C., Klein, P., Kerth, C., Miller, R., & Bertrand, B.
(2018).
Rust and Thinning Management Effect on Cup Quality and Plant Performance for Two Cultivars of Coffea arabica L. Journal of Agricultural and Food Chemistry.
66(21), 5281-5292.
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Murray, S. C.
(2017).
Optical Sensors Advancing Precision in Agricultural Production. PHOTONICS SPECTRA.
51(6), 48-+.
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Chu, T., Starek, M. J., Brewer, M. J., Murray, S. C., & Pruter, L. S.
(2017).
Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images. Remote Sensing.
9(9), 923-923.
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Wahl, N., Murray, S. C., Isakeit, T., Krakowsky, M., Windham, G. L., Williams, W. P., ... Betran, J.
(2017).
Identification of Resistance to Aflatoxin Accumulation and Yield Potential in Maize Hybrids in the Southeast Regional Aflatoxin Trials (SERAT). Crop Science.
57(1), 202-215.
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Jessup, R. W., Klein, R. R., Burson, B. L., Murray, S. C., Washburn, J. D., Heitholt, J. J., & Foster, J. L.
(2017).
Registration of Perennial Sorghum bicolor x S. propinquum Line PSH12TX09. Journal of Plant Registrations.
11(1), 76-79.
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Gage, J. L., Jarquin, D., Romay, C., Lorenz, A., Buckler, E. S., Kaeppler, S., ... de Leon, N.
(2017).
The effect of artificial selection on phenotypic plasticity in maize. Nature Communications.
8(1), 1348.
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Shi, Y., Thomasson, J. A., Murray, S. C., Pugh, N. A., Rooney, W. L., Shafian, S., ... Yang, C.
(2016).
Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research. PLoS ONE.
11(7), e0159781-e0159781.
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Collison, A., Yang, L., Dykes, L., Murray, S., & Awika, J. M.
(2015).
Influence of Genetic Background on Anthocyanin and Copigment Composition and Behavior during Thermoalkaline Processing of Maize. Journal of Agricultural and Food Chemistry.
63(22), 5528-5538.
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Farfan, I., De La Fuente, G. N., Murray, S. C., Isakeit, T., Huang, P., Warburton, M., ... Kolomiets, M.
(2015).
Genome wide association study for drought, aflatoxin resistance, and important agronomic traits of maize hybrids in the sub-tropics. PLoS ONE.
10(2), e0117737-e0117737.
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Lee, K., Davis, J., Herrman, T. J., Murray, S. C., & Deng, Y.
(2015).
An empirical evaluation of three vibrational spectroscopic methods for detection of aflatoxins in maize. Food Chemistry.
173, 629-639.
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Warburton, M. L., Tang, J. D., Windham, G. L., Hawkins, L. K., Murray, S. C., Xu, W., ... Williams, W. P.
(2015).
Genome-Wide Association Mapping of Aspergillus flavus and Aflatoxin Accumulation Resistance in Maize. Crop Science.
55(5), 1857-1867.
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Teixeira, J., Weldekidan, T., de Leon, N., Flint-Garcia, S., Holland, J. B., Lauter, N., ... Wisser, R. J.
(2015).
Hallauer's Tusn: a decade of selection for tropical-to-temperate phenological adaptation in maize. Heredity.
114(2), 229-240.
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Meng, Q., Chen, Y., Zhang, M., Chen, Y., Yuan, J., & Murray, S. C.
(2015).
Molecular characterization and phylogenetic analysis of ZmMCUs in maize. Biologia (Poland).
70(5), 599-605.
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Meng, Q., Murray, S. C., Mahan, A., Collison, A., Yang, L., & Awika, J.
(2015).
Rapid Estimation of Phenolic Content in Colored Maize by Near-Infrared Reflectance Spectroscopy and Its Use in Breeding. Crop Science.
55(5), 2234-2243.
-
Smith, S. D., Murray, S. C., & Heffner, E.
(2015).
Molecular analysis of genetic diversity in a Texas maize (Zea mays L) breeding program. Maydica.
60(2),
-
Lee, K., Herrman, T. J., Bisrat, Y., & Murray, S. C.
(2014).
Feasibility of surface-enhanced Raman spectroscopy for rapid detection of aflatoxins in maize. Journal of Agricultural and Food Chemistry.
62(19), 4466-4474.
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Henry, W. B., Blanco, M. H., Rowe, D. E., Windham, G. L., Murray, S. C., & Williams, W. P.
(2014).
Diallel Analysis of Diverse Maize Germplasm Lines for Agronomic Characteristics. Crop Science.
54(6), 2547-2556.
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Mahan, A. L., Murray, S. C., Crosby, K., & Scott, M. P.
(2014).
Quality Protein Maize Germplasm Characterized for Amino Acid Profiles and Endosperm Opacity. Crop Science.
54(3), 863-872.
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Washburn, J. D., Whitmire, D. K., Murray, S. C., Burson, B. L., Wickersham, T. A., Heitholt, J. J., & Jessup, R. W.
(2013).
Estimation of Rhizome Composition and Overwintering Ability in Perennial Sorghum spp. Using Near-Infrared Spectroscopy (NIRS). Bioenergy Research.
6(2), 822-829.
-
Farfan, I., Murray, S. C., Labar, S., & Pietsch, D.
(2013).
A multi-environment trial analysis shows slight grain yield improvement in Texas commercial maize. Field Crops Research.
149, 167-176.
-
Murray, S. C., Eckhoff, P., Wood, L., & Paterson, A. H.
(2013).
A proposal to use gamete cycling in vitro to improve crops and livestock. Nature Biotechnology.
31(10), 877-880.
-
Mahan, A. L., Murray, S. C., Rooney, L. W., & Crosby, K. M.
(2013).
Combining Ability for Total Phenols and Secondary Traits in a Diverse Set of Colored (Red, Blue, and Purple) Maize. Crop Science.
53(4), 1248-1255.
-
Henry, W. B., Windham, G. L., Rowe, D. E., Blanco, M. H., Murray, S. C., & Williams, W. P.
(2013).
Diallel Analysis of Diverse Maize Germplasm Lines for Resistance to Aflatoxin Accumulation. Crop Science.
53(2), 394-402.
-
Warburton, M. L., Williams, W. P., Windham, G. L., Murray, S. C., Xu, W., Hawkins, L. K., & Franco Duran, J.
(2013).
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. Crop Science.
53(6), 2374-2383.
-
Washburn, J. D., Murray, S. C., Burson, B. L., Klein, R. R., & Jessup, R. W.
(2013).
Targeted mapping of quantitative trait locus regions for rhizomatousness in chromosome SBI-01 and analysis of overwintering in a Sorghum bicolorS. propinquum population. Molecular Breeding.
31(1), 153-162.
-
De La Fuente, G. N., Murray, S. C., Isakeit, T., Park, Y., Yan, Y., Warburton, M. L., & Kolomiets, M. V.
(2013).
Characterization of genetic diversity and linkage disequilibrium of ZmLOX4 and ZmLOX5 loci in maize. PLoS ONE.
8(1), e53973-e53973.
-
Felderhoff, T. J., Murray, S. C., Klein, P. E., Sharma, A., Hamblin, M. T., Kresovich, S., Vermerris, W., & Rooney, W. L.
(2012).
QTLs for Energy-related Traits in a Sweet x Grain Sorghum [Sorghum bicolor (L.) Moench] Mapping Population. Crop Science.
52(5), 2040-2049.
-
Meeks, M., Murray, S. C., Hague, S., Hays, D., & Ibrahim, A.
(2012).
Genetic Variation for Maize Epicuticular Wax Response to Drought Stress at Flowering. Journal of Agronomy and Crop Science.
198(3), 161-172.
-
Collier, S. M., Brummer, E. C., Barber, W. T., Cox, T. S., Johnson, R., Murray, S. C., ... Thro, A. M.
(2012).
Crop wild relatives: more common ground for breeders and ecologists Response. 10(3), 121-122.
-
Mayfield, K., Betran, F. J., Isakeit, T., Odvody, G., Murray, S. C., Rooney, W. L., & Carlo Landivar, J.
(2012).
Registration of Maize Germplasm Lines Tx736, Tx739, and Tx740 for Reducing Preharvest Aflatoxin Accumulation. Journal of Plant Registrations.
6(1), 88-94.
-
Brummer, E. C., Barber, W. T., Collier, S. M., Cox, T. S., Johnson, R., Murray, S. C., ... Thro, A. M.
(2011).
Plant breeding for harmony between agriculture and the environment. 9(10), 561-568.
-
Mayfield, K. L., Murray, S. C., Rooney, W. L., Isakeit, T., & Odvody, G. A.
(2011).
Confirmation of QTL Reducing Aflatoxin in Maize Testcrosses. Crop Science.
51(6), 2489-2498.
-
Boote, K. J., Ibrahim, A., Lafitte, R., McCulley, R., Messina, C., Murray, S. C., ... Giese, J. H.
(2011).
Position Statement on Crop Adaptation to Climate Change. Crop Science.
51(6), 2337-2343.
-
Glover, J. D., Reganold, J. P., Bell, L. W., Borevitz, J., Brummer, E. C., Buckler, E. S., ... Xu, Y.
(2010).
Perennial Questions of Hydrology and Climate Response. Science.
330(6000), 33-34.
-
Glover, J. D., Reganold, J. P., Bell, L. W., Borevitz, J., Brummer, E. C., Buckler, E. S., ... Xu, Y.
(2010).
Response. Science.
330(6000), 33-34.
-
Glover, J. D., Reganold, J. P., Bell, L. W., Borevitz, J., Brummer, E. C., Buckler, E. S., ... Xu, Y.
(2010).
Agriculture. Increased food and ecosystem security via perennial grains. Science.
328(5986), 1638-1639.
-
Wang, M. L., Zhu, C., Barkley, N. A., Chen, Z., Erpelding, J. E., Murray, S. C., ... Yu, J.
(2009).
Genetic diversity and population structure analysis of accessions in the US historic sweet sorghum collection. Theoretical and Applied Genetics.
120(1), 13-23.
-
Murray, S. C., Rooney, W. L., Hamblin, M. T., Mitchell, S. E., & Kresovich, S.
(2009).
Sweet Sorghum Genetic Diversity and Association Mapping for Brix and Height. Plant Genome.
2(1), 48-62.
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Wisser, R. J., Murray, S. C., Kolkman, J. M., Ceballos, H., & Nelson, R. J.
(2008).
Selection mapping of loci for quantitative disease resistance in a diverse maize population. Genetics.
180(1), 583-599.
-
Murray, S. C., Sharma, A., Rooney, W. L., Klein, P. E., Mullet, J. E., Mitchell, S. E., & Kresovich, S.
(2008).
Genetic Improvement of Sorghum as a Biofuel Feedstock: I. QTL for Stem Sugar and Grain Nonstructural Carbohydrates. Crop Science.
48(6), 2165-2179.
-
Murray, S. C., Rooney, W. L., Mitchell, S. E., Sharma, A., Klein, P. E., Mullet, J. E., & Kresovich, S.
(2008).
Genetic Improvement of Sorghum as a Biofuel Feedstock: II. QTL for Stem and Leaf Structural Carbohydrates. Crop Science.
48(6), 2180-2193.
-
Hamblin, M. T., Casa, A. M., Sun, H., Murray, S. C., Paterson, A. H., Aquadro, C. F., & Kresovich, S.
(2006).
Challenges of detecting directional selection after a bottleneck: lessons from Sorghum bicolor. Genetics.
173(2), 953-964.
-
Murray, S. C.
Unlocking alleles from exotic wheat. Nature Plants.
10(9), 1280-1281.
-
Adak, A., DeSalvio, A. J., Arik, M. A., & Murray, S. C.
(2024).
Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize. G3: Genes, Genomes, Genetics.
jkae092.
-
chapter
-
Murray, S. C., & Wisser, R. J.
(2014).
Genetics, Genomics and Breeding of Maize. Wusirika, R., Bohn, M., Lai, J., & Kole, C. (Eds.),
Genetics, Genomics and Breeding of Maize.
(pp. 64-88).
CRC Press.
-
Murray, S. C.
(2013).
Differentiation of Seed, Sugar, and Biomass-Producing Genotypes in Saccharinae Species. Genomics of the Saccharinae.
(pp. 479-502).
Springer Nature.
-
Murray, S. C., & Wisser, R. J.
(2014).
Genetics, Genomics and Breeding of Maize. Wusirika, R., Bohn, M., Lai, J., & Kole, C. (Eds.),
Genetics, Genomics and Breeding of Maize.
(pp. 64-88).
CRC Press.
-
conference paper
-
Chu, T., Starek, M. J., Brewer, M. J., & Murray, S. C.
(2017).
MULTI-PLATFORM UAS IMAGING FOR CROP HEIGHT ESTIMATION: PERFORMANCE ANALYSIS OVER AN EXPERIMENTAL MAIZE FIELD. 4338-4341.
-
Chu, T., Starek, M. J., Brewer, M. J., Masiane, T., & Murray, S. C.
(2017).
UAS imaging for automated crop lodging detection: a case study over an experimental maize field. Proceedings of SPIE.
102180e-102180e-7.
-
Thomasson, J. A., Shi, Y., Olsenholler, J., Valasek, J., Murray, S. C., & Bishop, M. P.
(2016).
Comprehensive UAV agricultural remote-sensing research at Texas A&M University. Proceedings of SPIE.
986602-986602-7.
-
Shi, Y., Murray, S. C., Rooney, W. L., Valasek, J., Olsenholler, J., Pugh, N. A., ... Thomasson, J. A.
(2016).
Corn and sorghum phenotyping using a fixed-wing UAV-based remote sensing system. Proceedings of SPIE.
98660e-98660e-8.
-
Murray, S. C., Knox, L., Hartley, B., Mendez-Dorado, M. A., Richardson, G., Thomasson, J. A., ... Rooney, W. L.
(2016).
High clearance phenotyping systems for season-long measurement of corn, sorghum and other row crops to complement unmanned aerial vehicle systems. Proceedings of SPIE.
986607-986607-8.
-
Zhang, D. Y., Lan, Y. B., Zhou, X. G., Murray, S. C., & Chen, L. P.
(2015).
Research imagery and spectral characteristics of rice sheath blight using three portable sensors. 4890-4899.
-
Chu, T., Starek, M. J., Brewer, M. J., & Murray, S. C.
(2017).
MULTI-PLATFORM UAS IMAGING FOR CROP HEIGHT ESTIMATION: PERFORMANCE ANALYSIS OVER AN EXPERIMENTAL MAIZE FIELD. 4338-4341.
-
institutional repository document
-
DeSalvio, A. J., Adak, A., Arik, M. A., Shepard, N. R., DeSalvio, S. M., Murray, S. C., ... Stelly, D. M.
(2024).
Temporal Image Sandwiches Enable Link between Functional Data Analysis and Deep Learning for Single-Plant Cotton Senescence
-
Shepard, N. R., DeSalvio, A. J., Arik, M., Adak, A., Murray, S. C., Varela, J. I., & de Leon, N.
(2024).
Deep Learning-Based High-Throughput Phenotyping Of Maize (Zea mays L.) Tasseling From Uas Imagery Across Environments
-
DeSalvio, A. J., Adak, A., Murray, S. C., Jarqun, D., Winans, N. D., Crozier, D., & Rooney, W.
(2023).
Near Infrared Reflectance Spectroscopy Phenomic and Genomic Prediction of Maize Agronomic and Composition Traits Across Environments
-
Murray, S. C., Adak, A., Desalvio, A., & Lane, H.
(2022).
Temporal field phenomics allows discovery of nature AND nurture, so can we saturate the phenome?
-
DeSalvio, A. J., Adak, A., Murray, S. C., Wilde, S. C., & Isakeit, T.
(2021).
Phenomic Data-Facilitated Rust and Senescence Prediction in Maize Using Machine Learning Algorithms
-
Adak, A., Murray, S. C., & Anderson, S. L.
(2021).
Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions
-
Adak, A., Murray, S. C., & Anderson, S. L.
(2021).
Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions
-
Zhang, Z., Chen, C., Rutkoski, J., Schnable, J., Murray, S., Wang, L., ... Hayes, B.
(2021).
Harnessing Agronomics Through Genomics and Phenomics in Plant Breeding: A Review
-
Anderson, S. L., & Murray, S. C.
(2020).
R/UAStools::plotshpcreate: Create Multi-Polygon Shapefiles for Extraction of Research Plot Scale Agriculture Remote Sensing Data
-
DeSalvio, A. J., Adak, A., Arik, M. A., Shepard, N. R., DeSalvio, S. M., Murray, S. C., ... Stelly, D. M.
(2024).
Temporal Image Sandwiches Enable Link between Functional Data Analysis and Deep Learning for Single-Plant Cotton Senescence
Research
principal investigator on
- Field Phenomics and Quantitative Genetics in Applied Maize Breeding awarded by National Institute of Food and Agriculture - (Washington D.C., District of Columbia, United States) 2019 - 2024
- Improved short season cowpeas and development of unmanned aerial system (UAS) and other phenotyping tools to advance pulse breeding awarded by Agricultural Research Service - (Washington D.C., District of Columbia, United States) 2019 - 2022
- Breeding Corn for Favorable Agronomic Characteristics and Enhanced Resistance to Aflatoxin Accumulation awarded by Agricultural Research Service - (Washington D.C., District of Columbia, United States) 2018 - 2020
- Aerial and Ground Phenotyping Analytical Tool Development for Plant Breeders Using the Maize G2F project awarded by United States Department of Agriculture - (Washington D.C., District of Columbia, United States) 2017 - 2020
- Quantitative Genetics and Maize Breeding awarded by National Institute of Food and Agriculture - (Washington D.C., District of Columbia, United States) 2014 - 2019
- Reducing pre-harvest losses from aflatoxin in maize production through integrated breeding and pest management strategies awarded by United States Department of Agriculture - (Washington D.C., District of Columbia, United States) 2014 - 2019
- Breeding Corn for Favorable Agronomic Characteristics and Enhanced Resistance to Aflatoxin Accumulation awarded by Agricultural Research Service - (Washington D.C., District of Columbia, United States) 2015 - 2018
- IPA - Seth Murray awarded by United States Department of Agriculture - (Washington D.C., District of Columbia, United States) 2016 - 2017
co-principal investigator on
- Breeding Corn for Resistance to Aflatoxin Contamination awarded by Agricultural Research Service - (Washington D.C., District of Columbia, United States) 2013 - 2018
- Breeding Corn for Resistance To Aspergillus Flavus Infection and Aflatoxin Accumulation awarded by Agricultural Research Service - (Washington D.C., District of Columbia, United States) 2010 - 2015
Teaching
teaching activities
- AGLS689 Sptp: Career Leadership & Suc Instructor
- GENE491 Hnr-research Instructor
- GENE643 Mol Quant Gene Plnt Bred Instructor
- GENE691 Research Instructor
- MEPS691 Research Instructor
- SCSC201 American Agriculture Instructor
- SCSC201 Grt Plns Setlmnt&farming Instructor
- SCSC484 Internship Instructor
- SCSC491 Research Instructor
- SCSC643 Mol Quant Gene Plnt Bred Instructor
- SCSC684 Professional Internship Instructor
- SCSC685 Directed Studies Instructor
- SCSC689 Sptp: Sci Career Leadership Instructor
- SCSC691 Research Instructor
Works By Students
chaired theses and dissertations
-
Anderson II, Steven Langlie (2016-04). Improving Breeding Selection Efficiency: Advanced Population Designs and In Vitro Technology.
-
Barrero Farfan, Ivan D. (2013-06). Exploiting Historical Data and Diverse Germplasm to Increase Maize Grain Yield in Texas.
-
Chen, Yuanyuan (2016-11). 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.
-
Christman, Justine Lee (2017-05). Development of Near Infrared Reflectance Spectroscopy (NIRS) Calibrations of Maize Kernel Phosphorus for the Identification of Useful Breeding Material.
-
De La Fuente, Gerald (2012-07). Breeding Maize for Drought Tolerance: Diversity Characterization and Linkage Disequilibrium of Maize Paralogs ZmLOX4 and ZmLOX5.
-
Kanchi, Rupa Sridevi (2015-05). Recombination Studies and Development of QTL-Targeted Tiled Introgression Libraries by Marker-Assisted Backcrossing across Four Maize Chromosomal Segments.
-
Mahan, Adam Lyle (2012-10). Genetic Combining Analysis of Food-Grade Maize: Colored and Quality Protein.
-
Mahan, Adam Lyle (2015-05). Developing the Four Parent Maize Population (FPM): Phenotypic and Genotypic Characterization.
-
Mayfield, Kerry Lucas (2012-07). Improving Maize by QTL Mapping, Agronomic Performance and Breeding to Reduce Aflatoxin in Texas.
-
Meeks, Meghyn (2010-12). Two Approaches to Evaluate Drought Tolerance in Maize: Seedling Stress Response and Epicuticular Wax Accumulation.
-
Smith, Schuyler (2015-05). Molecular Characterization of the Texas Maize Breeding Program.
-
Washburn, Jacob (2012-10). Trait Correlation and Confirmation of QTLs for Rhizome Growth and Over-wintering in Sorghum.
Background
education and training
- Ph.D. in Plant Breeding and Genetics, Cornell University - (Ithaca, New York, United States) 2008
- B.A.S. in Crop and Soil Sciences, Michigan State University - (East Lansing, Michigan, United States) 2001
awards and honors
- AAAS Fellow, conferred by American Association For The Advancement of Science - (Washington D.C., District of Columbia, United States), 2023
- Blavatnik National Award for Young Scientists in Life Sciences, conferred by Blavatnik Family Foundation, 2019
- CSSA Fellow, conferred by Crop Science Society of America - (Madison, Wisconsin, United States), 2018
- Dean's Outstanding Achievement Award for Interdisciplinary Research, conferred by Texas A&M University - (College Station, Texas, United States), 2018
- CSSA Young Crop Scientist Award, conferred by Crop Science Society of America - (Madison, Wisconsin, United States), 2014
- Early Career Scientist Award, conferred by National Association of Plant Breeders - (United States), 2013
- Crop Science Exchange, conferred by Wageningen University & Research - (Wageningen, Netherlands), 2000
- Blavatnik National Award for Young Scientists in Life Sciences, conferred by Blavatnik Family Foundation, 2000
- Eagle Scout, conferred by Boy Scouts of America - (Irving, Texas, United States), 1998
Contact
first name
- Seth
has last name
- Murray
mailing address
-
Texas A&M University
Soil & Crop Science
2474 TAMU
College Station, TX 77843-2474
USA
Other
In the News
- AgriLife collaborates on plant phenotyping research News Release
- Artificial intelligence in agriculture online workshop July 17 News Release
- For Whiskey, The Proof Is In The Taste, Says Texas A&M Student News Release
- Plant Science Research Network releases action plan News Release
- Research Expected To Improve Predictions On Plant Growth News Release
- Texas A&M Researcher Creating Better Corn Yields, Quality On Less Land News Release
- Texas A&M corn breeder named Blavatnik award finalist News Release
- Whiskey: The proof is in the taste says Texas A&M Student News Release
- sethmurray@tamu.edu