Nadia Shakoor

Affiliations: 
2014 Biological Sciences University of South Carolina, Columbia, SC 
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"Nadia Shakoor"

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Stephen Kresovich grad student 2014 University of South Carolina
 (Compositional Traits in Sorghum Bicolor Characterized by Transcriptome, Ionome and Genome-wide Association Analysis.)
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Publications

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Agnew E, Ziegler G, Lee S, et al. (2024) Longitudinal genome-wide association study reveals early QTL that predict biomass accumulation under cold stress in sorghum. Frontiers in Plant Science. 15: 1278802
Zhang Z, Gomes Viana JP, Zhang B, et al. (2024) Major impacts of widespread structural variation on sorghum. Genome Research
Condorelli GE, Newcomb M, Groli EL, et al. (2022) Genome Wide Association Study Uncovers the QTLome for Osmotic Adjustment and Related Drought Adaptive Traits in Durum Wheat. Genes. 13
Songsomboon K, Brenton Z, Heuser J, et al. (2021) Genomic patterns of structural variation among diverse genotypes of Sorghum bicolor and a potential role for deletions in local adaptation. G3 (Bethesda, Md.)
Boatwright JL, Brenton ZW, Boyles RE, et al. (2021) Genetic Characterization of a Sorghum bicolor Multiparent Mapping Population Emphasizing Carbon-Partitioning Dynamics. G3 (Bethesda, Md.)
Lozano R, Gazave E, Dos Santos JPR, et al. (2021) Comparative evolutionary genetics of deleterious load in sorghum and maize. Nature Plants. 7: 17-24
Maimaitijiang M, Sagan V, Erkbol H, et al. (2020) Uav-Based Sorghum Growth Monitoring: A Comparative Analysis Of Lidar And Photogrammetry Isprs Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 489-496
Bhadra S, Sagan V, Maimaitijiang M, et al. (2020) Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning Remote Sensing. 12: 2082
Sagan V, Maimaitijiang M, Sidike P, et al. (2019) UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras Remote Sensing. 11: 330
Shakoor N, Northrup D, Murray S, et al. (2019) Big Data Driven Agriculture: Big Data Analytics in Plant Breeding, Genomics, and the Use of Remote Sensing Technologies to Advance Crop Productivity The Plant Phenome Journal. 2: 1-8
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