ArticleFrontiers in plant science2022
Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 11 citations in OpenAlex.
- A lightweight hybrid transformer approach for hyperspectral imaging-based drought tolerance evaluation in tea plants.Plant methods · 2025Article
- TflosYOLO+TFSC: an accurate and robust model for estimating flower count and flowering period.Frontiers in plant science · 2025Article
- Explainable light-weight deep learning pipeline for improved drought stress identification.Frontiers in plant science · 2024Article
- Advances in the tea plants phenotyping using hyperspectral imaging technology.Frontiers in plant science · 2024Review
- Current views of drought research: experimental methods, adaptation mechanisms and regulatory strategies.Frontiers in plant science · 2024Review
- Salt Tolerance Evaluation of Cucumber Germplasm under Sodium Chloride Stress.Plants (Basel, Switzerland) · 2023Article
- Functional role of microRNA in the regulation of biotic and abiotic stress in agronomic plants.Frontiers in genetics · 2023Review
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Authors and funding
10 authors at 5 institutions in 1 country.
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Abstract
Drought tolerance and quality stability are important indicators to evaluate the stress tolerance of tea germplasm resources. The traditional screening method of drought resistant germplasm is mainly to evaluate by detecting physiological and biochemical indicators of tea plants under drought stresses. However, the methods are not only time consuming but also destructive. In this study, hyperspectral images of tea drought phenotypes were obtained and modeled with related physiological indicators. The results showed that: (1) the information contents of malondialdehyde, soluble sugar and total polyphenol were 0.21, 0.209 and 0.227 respectively, and the drought tolerance coefficient (DTC) index of each tea variety was between 0.069 and 0.81; (2) the comprehensive drought tolerance of different varieties were (from strong to weak):
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