cached image

Seth C. Murray, Ph.D.

Affiliations: 
Texas A & M University, College Station, TX, United States 
 2008 Cornell University, Ithaca, NY, United States 
Area:
Phenomics, quantitative genetics, plant breeding, maize, agronomy
Website:
http://soilcrop.tamu.edu/people/murray-seth-c/
Google:
"Seth C. Murray"
Bio:

https://scholar.google.com/citations?user=o2U40BEAAAAJ&hl=en

Parents

Sign in to add mentor
J. Mitchell McGrath research assistant Michigan State
 (Undergraduate Research Mentor)
Stephen Kresovich grad student 2002-2008 Cornell
 (Genetic and phenotypic diversity in sorghum for improvement as a biofuel feedstock.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Lima DC, Aviles AC, Alpers RT, et al. (2023) 2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative. Bmc Research Notes. 16: 219
Lima DC, Washburn JD, Varela JI, et al. (2023) Genomes to Fields 2022 Maize genotype by Environment Prediction Competition. Bmc Research Notes. 16: 148
Adak A, Murray SC, Calderón CI, et al. (2023) Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 136: 155
Adak A, Kang M, Anderson SL, et al. (2023) Phenomic data-driven biological prediction of maize through field-based high throughput phenotyping integration with genomic data. Journal of Experimental Botany
Lima DC, Aviles AC, Alpers RT, et al. (2023) 2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project. Bmc Genomic Data. 24: 29
Adak A, Murray SC, Anderson SL. (2022) Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions. G3 (Bethesda, Md.)
Adak A, Murray SC, Anderson SL, et al. (2021) Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize. The Plant Genome. e20102
Adak A, Conrad C, Chen Y, et al. (2021) Validation of Functional Polymorphisms Affecting Maize Plant Height by Unoccupied Aerial Systems (UAS) Discovers Novel Temporal Phenotypes. G3 (Bethesda, Md.)
Rogers AR, Dunne JC, Romay C, et al. (2021) The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment. G3 (Bethesda, Md.). 11
Anderson SL, Murray SC. (2020) R/UAStools::plotshpcreate: Create Multi-Polygon Shapefiles for Extraction of Research Plot Scale Agriculture Remote Sensing Data. Frontiers in Plant Science. 11: 511768
See more...