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James Schnable
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Data driven discovery and quantification of hyperspectral leaf reflectance phenotypes across a maize diversity panel
MC Tross, MW Grzybowski, TZ Jubery, RJ Grove, AV Nishimwe, ...
The Plant Phenome Journal 7 (1), e20106, 2024
2024
Imitating the “breeder's eye”: Predicting grain yield from measurements of non‐yield traits
H Jin, MC Tross, R Tan, L Newton, RV Mural, J Yang, AM Thompson, ...
The Plant Phenome Journal 7 (1), e20102, 2024
2024
Optimizing feature selection with gradient boosting machines in PLS regression for predicting moisture and protein in multi-country corn kernels via NIR spectroscopy
R Zheng, Y Jia, C Ullagaddi, C Allen, K Rausch, V Singh, JC Schnable, ...
Food Chemistry, 140062, 2024
2024
PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics
A Zarei, B Li, JC Schnable, E Lyons, D Pauli, K Barnard, B Benes
Computers and Electronics in Agriculture 221, 108922, 2024
2024
Genotype-specific nonphotochemical quenching responses to nitrogen deficit are linked to chlorophyll a to b ratios
S Sahay, M Grzybowski, JC Schnable, K Głowacka
Journal of Plant Physiology 297, 154261, 2024
2024
Population‐level gene expression can repeatedly link genes to functions in maize
JV Torres‐Rodríguez, D Li, J Turkus, L Newton, J Davis, L Lopez‐Corona, ...
The Plant Journal, 2024
12024
Rhythmic lipid and gene expression responses to chilling in panicoid grasses
SK Kenchanmane Raju, Y Zhang, S Mahboub, DW Ngu, Y Qiu, ...
Journal of Experimental Botany, erae247, 2024
2024
Plot-level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials.
N Shrestha, A Powadi, J Davis, TT Ayanlade, H Liu, MC Tross, ...
agriRxiv, 20240201322, 2024
2024
Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms
E Rodene, GD Fernando, V Piyush, Y Ge, JC Schnable, S Ghosh, J Yang
Sensors 24 (7), 2172, 2024
22024
SPARC-LoRa: A Scalable, Power-efficient, Affordable, Reliable, and Cloud Service-enabled LoRa Networking System for Agriculture Applications
X Wang, B Hatasaka, Z Liu, S Tope, M Karkhanis, S Noh, F Sium, ...
arXiv preprint arXiv:2401.13569, 2024
2024
Models trained to predict differential expression across plant organs identify distal and proximal regulatory regions
MC Tross, G Duggan, N Shrestha, JC Schnable
bioRxiv, 2024.06. 04.597477, 2024
2024
Unveiling shared genetic regulators for plant architectural and biomass yield traits in sorghum
A Singh, LA Newton, JC Schnable, AM Thompson
bioRxiv, 2024.03. 13.584802, 2024
2024
Variation in Leaf Chlorophyll Concentration in Response to Nitrogen Application Across Maize Hybrids in Contrasting Environments
KM Linders, D Santra, JC Schnable, B Sigmon
Micropublication Biology 2024, 2024
2024
Comparative genomics to improve genotype-phenotype associations in maize and sorghum
E Braun, A Singh, R Tan, JC Schnable, L Newton, A Thompson
Authorea Preprints, 2023
2023
2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative
DC Lima, AC Aviles, RT Alpers, A Perkins, DL Schoemaker, M Costa, ...
BMC Research Notes 16 (1), 219, 2023
32023
Oligogalactolipid production during cold challenge is conserved in early diverging lineages
AC Barnes, JL Myers, SM Surber, Z Liang, JP Mower, JC Schnable, ...
Journal of Experimental Botany 74 (17), 5405-5417, 2023
22023
A Transferable Machine Learning Framework for Predicting Transcriptional Responses of Genes Across Species
Z Liang, X Meng, JC Schnable
Plant Gene Regulatory Networks: Methods and Protocols, 361-379, 2023
2023
Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize
J Engelhorn, SJ Snodgrass, A Kok, AS Seetharam, M Schneider, T Kiwit, ...
bioRxiv, 2023.08. 08.551183, 2023
12023
A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer
NK Wijewardane, H Zhang, J Yang, JC Schnable, DP Schachtman, Y Ge
Journal of experimental botany 74 (14), 4050-4062, 2023
92023
Genetic control of photoprotection and photosystem II operating efficiency in plants
S Sahay, M Grzybowski, JC Schnable, K Głowacka
New Phytologist 239 (3), 1068-1082, 2023
82023
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