We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Novel Automated Method for Screening Rice Genotypes for Root Growth Rate using ImageJ Software.
- Authors
ALBERT, DONIA; NANAIAH, KARTHIK; SHESHSHAYEE, M. S.
- Abstract
The escalating occurrence and intensity of drought stress due to erratic climate shifts emphasize the significance of understanding plant reactions to such stress, particularly in the context of rice cultivation. Gaining insights into diverse facets of plant response to drought stress is of utmost importance, with a special emphasis on plant roots - the primary organs responsible for extracting water and nutrients from the soil. This study employed the ImageJ software to quantify daily growth in total root length, a task previously unattainable using conventional analysis methods. Leveraging the capabilities of ImageJ, the software automated the estimation of rice root length through the utilization of a well-suited threshold algorithm for image processing. To enhance image analysis through this software, we replaced agar with clerigel as the growth medium. This substitution led to clearer capture of images, consequently facilitating more accurate and precise analysis via the software. The integration of computer-based analysis and high-resolution imaging techniques has notably advanced our comprehension of root development and its implications for crop yield and resource management.
- Subjects
RICE quality; ROOT growth; RICE; ROOT development; GENOTYPES; CROP yields
- Publication
Mysore Journal of Agricultural Sciences, 2023, Vol 57, Issue 4, p89
- ISSN
0047-8539
- Publication type
Article