Time-series Multi-spectral Imaging in Soybean for Improving Biomass and Genomic Prediction Accuracy
K. Sakurai, Y. Toda, H. Kajiya-Kanegae, Y. Ohmori, Y. Yamasaki, H. Takahashi, H. Takanashi, M. Tsuda, H. Tsujimoto, A. Kaga, M. Nakazono, T. Fujiwara, H. Iwata
This study uses multi-spectral imaging to predict soybean biomass by analyzing growth stages and irrigation effects on genomic and phenotypic accuracy.
bioRxiv · Sep 30, 2021 · PreprintPlant Biology