201. Assessment of the Rice Panicle Initiation by Using NDVI-Based Vegetation Indexes
- Author
-
Joon-Keat Lai and Wen-Shin Lin
- Subjects
Technology ,QH301-705.5 ,QC1-999 ,panicle initiation ,Normalized Difference Vegetation Index ,Manual dissection ,medicine ,General Materials Science ,Biology (General) ,Instrumentation ,QD1-999 ,Panicle ,Mathematics ,proximal sensing ,Fluid Flow and Transfer Processes ,Process Chemistry and Technology ,internode-elongation ,Physics ,General Engineering ,Regression analysis ,Engineering (General). Civil engineering (General) ,green ring ,Computer Science Applications ,normalized difference vegetation index (NDVI) ,Chemistry ,Nitrogen fertilizer ,hyperspectral ,Agronomy ,medicine.symptom ,TA1-2040 ,Vegetation (pathology) - Abstract
The assessment of rice panicle initiation is crucial for the management of nitrogen fertilizer application that affects yield and quality of grain. The occurrence of panicle initiation could be determined via either green ring, internode-elongation, or a 1–2 mm panicle, and was observed through manual dissection. The quadratic polynomial regression model was used to construct the model of the trend of normalized difference vegetation index-based vegetation indexes (NDVI-based VIs) between pre-tillering and panicle differentiation stages. The slope of the quadratic polynomial regression model tended to be alleviated in the period in which the panicle initiation stage should occur. The results indicated that the trend of the NDVI-based VIs was correlated with panicle initiation. NDVI-based VIs could be a useful indicator to remotely assess panicle initiation.
- Published
- 2021