ArticleMethods in molecular biology (Clifton, N.J.)2021
Assessing Rice Salinity Tolerance: From Phenomics to Association Mapping.
Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Geometric image-based phenotyping and physiological analysis for validation of rice salinity tolerance screening under artificial pot conditions.BMC plant biology · 2026Article
- Integrated transcriptome and metabolome analysis of salinity tolerance in response to foliar application of choline chloride in rice (Frontiers in plant science · 2024Article
- Improved physiological and morphological traits of root synergistically enhanced salinity tolerance in rice under appropriate nitrogen application rate.Frontiers in plant science · 2022Article
- Using phenomics to identify and integrate traits of interest for better-performing common beans: A validation study on an interspecific hybrid and its Acutifolii parents.Frontiers in plant science · 2022Article
- Gene Mapping, Cloning and Association Analysis for Salt Tolerance in Rice.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rice is the most salt-sensitive cereal, suffering yield losses above 50% with soil salinity of 6 dS/m. Thus, understanding the mechanisms of rice salinity tolerance is key to address food security. In this chapter, we provide guidelines to assess rice salinity tolerance using a high-throughput phenotyping platform (HTP) with digital imaging at seedling/early tillering stage and suggest improved analysis methods using stress indices. The protocols described here also include computer scripts for users to improve their experimental design, run genome-wide association studies (GWAS), perform multi-testing corrections, and obtain the Manhattan plots, enabling the identification of loci associated with salinity tolerance. Notably, the computer scripts provided here can be used for any stress or GWAS experiment and independently of HTP.
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Registered trials
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