Grain Quality
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This is an automated aggregation of all research tagged "Grain Quality" across the OpenAgData network. It updates in real-time as new papers are published.
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Daniel W. Sweeney, Karl H. Kunze, Mark E. Sorrells • American Malting Barley Association (2021)
Burcu Alptekin, Mohammad Erfatpour, Dylan J. Mangel, Duke Pauli, Tom Blake, Hannah M. Turner, Jennifer Lachowiec, Jamie Sherman, Andreas M. Fischer • American Malting Barley Association (2022)
Trevor A. Palone, Clint Beiermann, Patrick M. Carr, Joseph Jensen, Greg Lutgen, Kent McVay, Qasim A. Khan, Teigen Nelson, Hannah Uhlmann, Jessica L. Williams, Jamie D. Sherman • Montana Wheat and Barley Committee (2026)
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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