# Development of image-based phenotyping for selection characters of rice adaptability on the seedling salinity screening
> Anshori M.F.

URL kanonis: https://discover.unhas.ac.id/publications/development-of-image-based-phenotyping-for-selection-characters-of-rice-adaptabi
Jurnal / Konferensi: Iop Conference Series Earth and Environmental Science
Tahun terbit: 2021
DOI: https://doi.org/10.1088/1755-1315/807/3/032022
ISSN: 17551307
Citations: 6

## Authors
- Anshori M.F.

## Abstract
Abstract Development of adaptability rice under salinity stress needs effective and selective methods in the screening process. The seedling screening method is a general method used in salinity screening. However, this screening method often uses conventional observation in its screening process. This observation is rated that has a high error level. Therefore, the development of a digital approach through image-based phenotyping expected could minimize the error in the adaptability screening. This study was designed with a nested randomized complete group design, where replications were nested in a stressful environment. The environment in this study was normal (0 mM NaCl) and salinity stress (120 mM NaCl). The genotype used consisted of 8 genotypes which were repeated three times. The number of characters observed was nine image-based phenotyping. The results of this study showed that green percentage, the 3rd leaf length, and total area were the selection characters of image-based phenotyping under seedling salinity screening. Besides that, the used adaptability index in salinity screening became a good approach in considered and distinguished tolerance responses among varieties, especially to Pokkali (tolerant control variety) and IR 29 (sensitive control variety). Based on this study, the application of image-based phenotyping recommended in the screening process of line adaptability under salinity stress.

## Keywords
- Adaptability
- Seedling
- Salinity
- Selection (genetic algorithm)
- Completely randomized design
- Biology
- Agronomy
- Horticulture
- Computer science
- Artificial intelligence
- Ecology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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