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Addie Thompson
Addie Thompson
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Cited by
Cited by
Year
Arabidopsis MYB30 is a direct target of BES1 and cooperates with BES1 to regulate brassinosteroid‐induced gene expression
L Li, X Yu, A Thompson, M Guo, S Yoshida, T Asami, J Chory, Y Yin
The Plant Journal 58 (2), 275-286, 2009
2522009
Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
FA Van Eeuwijk, D Bustos-Korts, EJ Millet, MP Boer, W Kruijer, ...
Plant science 282, 23-39, 2019
1722019
Brd1 gene in maize encodes a brassinosteroid C-6 oxidase
I Makarevitch, A Thompson, GJ Muehlbauer, NM Springer
PloS one 7 (1), e30798, 2012
1252012
The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment
AR Rogers, JC Dunne, C Romay, M Bohn, ES Buckler, IA Ciampitti, ...
G3 11 (2), jkaa050, 2021
442021
Sorghum biomass prediction using UAV-based remote sensing data and crop model simulation
A Masjedi, J Zhao, AM Thompson, KW Yang, JE Flatt, MM Crawford, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposiumá…, 2018
422018
Meiotic crossovers characterized by haplotype-specific chromosome painting in maize
L do Vale Martins, F Yu, H Zhao, T Dennison, N Lauter, H Wang, Z Deng, ...
Nature Communications 10 (1), 4604, 2019
412019
An opinion on imaging challenges in phenotyping field crops
D Kelly, A Vatsa, W Mayham, L Ng˘, A Thompson, T Kazic
Machine Vision and Applications 27, 681-694, 2016
352016
Diversity of maize shoot apical meristem architecture and its relationship to plant morphology
AM Thompson, J Yu, MCP Timmermans, P Schnable, JE Crants, ...
G3: Genes, Genomes, Genetics 5 (5), 819-827, 2015
242015
Integrating crop growth models with remote sensing for predicting biomass yield of sorghum
KW Yang, S Chapman, N Carpenter, G Hammer, G McLean, B Zheng, ...
in silico Plants 3 (1), diab001, 2021
162021
Germplasm architecture revealed through chromosomal effects for quantitative traits in maize
R Bernardo, AM Thompson
The plant genome 9 (2), plantgenome2016.03.0028, 2016
152016
Automation of leaf counting in maize and sorghum using deep learning
C Miao, A Guo, AM Thompson, J Yang, Y Ge, JC Schnable
The Plant Phenome Journal 4 (1), e20022, 2021
132021
Genetic control of maize shoot apical meristem architecture
AM Thompson, J Crants, PS Schnable, J Yu, MCP Timmermans, ...
G3: Genes, Genomes, Genetics 4 (7), 1327-1337, 2014
132014
Mapping the Increased Protein Digestibility Trait in the High-Lysine Sorghum Mutant P721Q
M Massafaro, A Thompson, M Tuinstra, B Dilkes, CF Weil
Crop Science 56 (5), 2647-2651, 2016
102016
Utilizing MIKC-type MADS-box protein SOC1 for yield potential enhancement in maize
G Song, X Han, JT Ryner, A Thompson, K Wang
Plant Cell Reports 40, 1679-1693, 2021
92021
Detecting and counting panicles in sorghum images
PA Olsen, KN Ramamurthy, J Ribera, Y Chen, AM Thompson, R Luss, ...
2018 IEEE 5th International Conference on Data Science and Advancedá…, 2018
92018
Association mapping across a multitude of traits collected in diverse environments in maize
RV Mural, G Sun, M Grzybowski, MC Tross, H Jin, C Smith, L Newton, ...
GigaScience 11, 2022
62022
Bean split ratio for dry bean canning quality and variety analysis
Y Long, A Bassett, K Cichy, A Thompson, D Morris
Proceedings of the IEEE/CVF Conference on Computer Vision and Patterná…, 2019
62019
Multitask learning using task clustering with applications to predictive modeling and gwas of plant varieties
M Yu, AM Thompson, KN Ramamurthy, E Yang, AC Lozano
arXiv preprint arXiv:1710.01788, 2017
52017
Predictive modeling of Sorghum phenotypes with airborne image features
K Ramamurthy, Z Zhang, AM Thompson, F He, M Crawford, A Habib, ...
Proceeding of KDD Workshop on Data Science for Food, Energy, and Water, Saná…, 2016
42016
Yield prediction through integration of genetic, environment, and management data through deep learning
DR Kick, JG Wallace, JC Schnable, JM Kolkman, B Alaca, TM Beissinger, ...
G3: Genes, Genomes, Genetics 13 (4), jkad006, 2023
32023
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