Sorghum Bicolor
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This is an automated aggregation of all research tagged "Sorghum Bicolor" across the OpenAgData network. It updates in real-time as new papers are published.
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G. David Buntin, J. N. All • Unknown Hub (2019)
G. David Buntin, J. N. All • Unknown Hub (2019)
A. Schlegel, A. Burnett • Unknown Hub (2019)
A. Schlegel, A. Burnett • Unknown Hub (2020)
A. Schlegel, A. Burnett • Unknown Hub (2021)
A. Schlegel • Unknown Hub (2017)
Boubacar Gano, Marie De Gracia Coquerel, Jocelyn Saxton, Nathaniel Eck, Kamaranga H. S. Peiris, Scott R. Bean, J.R. Stanton, N. A. Ahmed, Nadia Shakoor • Unknown Hub (2026)
“Machine learning models built from agronomic, drone, and environmental data predicted sorghum grain quality traits accurately enough to cut lab testing — crude protein R²=0.90, amylose R²=0.92-0.99, starch R²=0.80, with lysine-from-protein weakest at R²=0.64. Grain composition shifted measurably with year and management (precision N, cover crops, no-till), and leaf temperature and stomatal conductance had strong non-linear links to amylose.”
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