Prediction of heading date, culm length, and biomass from canopy-height-related parameters derived from time-series UAV observations of rice.

Unmanned aerial vehicles (UAVs) are powerful tools for monitoring crops for high-throughput phenotyping. Time-series aerial photography of fields can record the whole process of crop growth. Canopy height (CH), which is vertical plant growth, has been used as an indicator for the evaluation of lodging tolerance and the prediction of biomass and yield. However, there have been few attempts to use UAV-derived time-series CH data for field testing of crop lines. Here we provide a novel framework for trait prediction using CH data in rice. We generated UAV-based digital surface models of crops to extract CH data of 30 Japanese rice cultivars in 2019, 2020, and 2021. CH-related parameters were calculated in a non-linear time-series model as an S-shaped plant growth curve. The maximum saturation CH value was the most important predictor for culm length. The time point at the maximum CH contributed to the prediction of days to heading, and was able to predict stem and leaf weight and aboveground weight, possibly reflecting the association of biomass with duration of vegetative growth. These results indicate that the CH-related parameters acquired by UAV can be useful as predictors of traits typically measured by hand.

Arabidopsis thaliana cold-regulated 47 gene 5'-untranslated region enables stable high-level expression of transgenes.

Transgene expression is regulated through several steps, this study focuses on the mRNA translation step. The expression level of transgenes can be increased by 5'-untranslated region (5'UTR) sequences in certain genes which act as translational enhancers. On the other hand, translation in most mRNA species is repressed by growth, development, and stress events. There is a possibility that transgene mRNA is also repressed in these conditions, despite the use of a translational enhancer. Therefore, a consistently efficient translational enhancer is needed to develop a reliable transgene expression system. Herein we searched for mRNAs translated stably under different growth, development and environmental conditions using data sets of polysome fraction assays and microarray analysis. Correct 5'UTR sequences of candidate genes were determined by cap analysis of gene expression and we tested translational ability of the candidate 5'UTRs by reporter assays. We found the 5'UTR of cold-regulated 47 gene to be an effective translational enhancer, contributing to stable high-level expression under various conditions.