Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat

Authors: Yusheng Zhao, Patrick Thorwarth, Yong Jiang, Norman Philipp, Albert W. Schulthess, Mario Gils, Philipp H. G. Boeven, C. Friedrich H. Longin, Johannes Schacht, Erhard Ebmeyer, Viktor Korzun, Vilson Mirdita, Jost Dörnte, Ulrike Avenhaus, Ralf Horbach, Hilmar Cöster, Josef Holzapfel, Ludwig Ramgraber, Simon Kühnle, Pierrick Varenne, Anne Starke, Friederike Schürmann, Sebastian Beier, Uwe Scholz, Fang Liu, Renate H. Schmidt, Jochen C. Reif

Published: 2021-06-11

DOI: 10.1126/sciadv.abf9106

Source: Full article


Abstract

Capitalizing on big data for wheat doubled the accuracy in predicting grain yield compared with current medium-sized datasets.