|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
|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
|Brd1 gene in maize encodes a brassinosteroid C-6 oxidase|
I Makarevitch, A Thompson, GJ Muehlbauer, NM Springer
PloS one 7 (1), e30798, 2012
|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
|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
|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
|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
|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
|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
|Germplasm architecture revealed through chromosomal effects for quantitative traits in maize|
R Bernardo, AM Thompson
The plant genome 9 (2), plantgenome2016.03.0028, 2016
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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