Nighttime fluorescence phenotyping reduces environmental variability for photosynthetic traits and enables the identification of candidate loci in maize by Fangyi Li, Fangyi Li, Fangyi Li, Marcin Grzybowski, Marcin Grzybowski, Marcin Grzybowski, Rebecca L. Roston, Rebecca L. Roston, James C. Schnable, James C. Schnable

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Employing Spectral Features to Accelerate Sorghum Phenotyping Against Sap‐Feeding Aphids by Kumar Shrestha, Kantilata Thapa, Esha Kaler, Misaki Taniguchi, Scott E. Sattler, James C. Schnable, Joe Louis

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Sorghum segmentation and leaf counting using in silico trained deep neural model by Ian Ostermann, Bedrich Benes, Mathieu Gaillard, Bosheng Li, Jensina Davis, Ryleigh Grove, Nikee Shrestha, Michael C. Tross, James C. Schnable

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Imitating the “breeder's eye”: Predicting grain yield from measurements of non‐yield traits by Hongyu Jin, Michael C. Tross, Ruijuan Tan, Linsey Newton, Ravi V. Mural, Jinliang Yang, Addie M. Thompson, James C. Schnable

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Transcripts and genomic intervals associated with variation in metabolite abundance in maize leaves under field conditions by Ramesh Kanna Mathivanan, Connor Pedersen, Jonathan Turkus, Nikee Shrestha, Waqar Ali, J. Vladimir Torres-Rodriguez, Ravi V. Mural, Toshihiro Obata, James C. Schnable

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Data driven discovery and quantification of hyperspectral leaf reflectance phenotypes across a maize diversity panel by Michael C. Tross, Marcin W. Grzybowski, Talukder Z. Jubery, Ryleigh J. Grove, Aime V. Nishimwe, J. Vladimir Torres‐Rodriguez, Guangchao Sun, Baskar Ganapathysubramanian, Yufeng Ge, James C. Schnable

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Plot‐level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials by Nikee Shrestha, Anirudha Powadi, Jensina Davis, Timilehin T. Ayanlade, Huyu Liu, Michael C. Tross, Ramesh K. Mathivanan, Jordan Bares, Lina Lopez‐Corona, Jonathan Turkus, Lisa Coffey, Talukder Zaki Jubery, Yufeng Ge, Soumik Sarkar, James C. Schnable, Baskar Ganapathysubramanian, Patrick S. Schnable

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