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Semi-High Throughput Screening for Potential Drought-tolerance in Lettuce Lactuca sativa Germplasm Collections
Published on: April 17, 2015
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High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance.
Sameer Joshi1, Emily Thoday-Kennedy1, Hans D Daetwyler2,3
1Agriculture Victoria, Grains Innovation Park, Horsham, Victoria, Australia.
Plos One
|July 23, 2021
Summary
Developing drought tolerant crops is crucial for food security. High-throughput digital phenotyping precisely screens safflower genotypes for drought tolerance, identifying superior varieties for climate-resilient agriculture.
Area of Science:
- Agricultural Science
- Plant Biology
- Genetics
Background:
- Drought stress significantly impacts global crop yields, necessitating the development of tolerant varieties.
- Sustainable agriculture in a changing climate requires robust crop genotypes resistant to abiotic stresses.
- High-throughput phenotyping offers precise and rapid selection of desirable crop traits.
Purpose of the Study:
- To evaluate the efficacy of digital imaging for reliable phenotyping of drought tolerance in safflower.
- To screen a diverse safflower population for drought tolerance using automated phenotyping.
- To identify digital traits that serve as accurate proxies for plant growth and drought response.
Main Methods:
- Screening of safflower genotypes under controlled drought stress conditions (field capacity levels) at a high-throughput phenotyping platform.
- Application of digital imaging to capture plant traits and derive digital measurements.
- Correlation analysis between measured plant traits, dry biomass, and digitally derived traits.
Main Results:
- Digital traits (estimated shoot biomass, convex hull area, etc.) strongly correlated with measured plant traits and biomass, validating their use as proxy measures.
- Estimated shoot biomass showed significant correlation with key drought indices (yield index, stress tolerance index, etc.).
- Safflower genotypes were successfully clustered into drought tolerance groups based on seed yield and digital shoot biomass.
Conclusions:
- Image-based, high-throughput phenotyping in controlled environments effectively differentiates drought stress responses in large safflower populations.
- Digital phenotyping provides a rapid and precise method for selecting drought-tolerant safflower genotypes.
- This approach supports the development of climate-resilient crop varieties for enhanced food security.
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