ArticlePlant methods2019
Using hyperspectral analysis as a potential high throughput phenotyping tool in GWAS for protein content of rice quality.
Article in Plant methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- High-Throughput Phenotyping: Status and Applications in Rice Breeding.Plants (Basel, Switzerland) · 2026Review
- Predicting plant trait dynamics from genetic markers.Nature plants · 2025Article
- Integrative phenomics, metabolomics and genomics analysis provides new insights for deciphering the genetic basis of metabolism in polished rice.Genome biology · 2025Article
- Exploring the potential of microscopic hyperspectral, Raman, and LIBS for nondestructive quality assessment of diverse rice samples.Plant methods · 2025Article
- Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat.Scientific reports · 2024Article
- Review
- Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding.Frontiers in plant science · 2024Review
- Grain Protein Content Phenotyping in Rice via Hyperspectral Imaging Technology and a Genome-Wide Association Study.Plant phenomics (Washington, D.C.) · 2024Article
- Unravelling marker trait associations linking nutritional value with pigmentation in rice seed.The plant genome · 2023Article
- Reviving grain quality in wheat through non-destructive phenotyping techniques like hyperspectral imaging.Food and energy security · 2023Review
- Fantastic genes: where and how to find them? Exploiting rice genetic resources for the improvement of yield, tolerance, and resistance to a wide array of stresses in rice.Functional & integrative genomics · 2023Review
- Article
- Quantification of Photosynthetic Pigments inPlant phenomics (Washington, D.C.) · 2023Article
- Genome-wide association study of drought tolerance traits in sugar beet germplasms at the seedling stage.Frontiers in genetics · 2023Article
- Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives.Plant communications · 2022Review
- Genomic selection in tropical perennial crops and plantation trees: a review.Molecular breeding : new strategies in plant improvement · 2022Review
- Ensuring Global Food Security by Improving Protein Content in Major Grain Legumes Using Breeding and 'Omics' Tools.International journal of molecular sciences · 2022Review
- Experimental data manipulations to assess performance of hyperspectral classification models of crop seeds and other objects.Plant methods · 2022Article
- Genome wide association study on development and evolution of glutinous rice.BMC genomic data · 2022Article
- Hyperspectral and genome-wide association analyses of leaf phosphorus status in local Thai indica rice.PloS one · 2022Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
backgroundThe advances of hyperspectral technology provide a new analytic means to decrease the gap of phenomics and genomics caused by the fast development of plant genomics with the next generation sequencing technology. Through hyperspectral technology, it is possible to phenotype the biochemical attributes of rice seeds and use the data for GWAS.
resultsThe results of correlation analysis indicated that Normalized Difference Spectral Index (NDSI) had high correlation with protein content (PC) with R
conclusionThis study combined hyperspectral technology and GWAS analysis to dissect PC of rice seeds, which was high throughput and proven to be able to apply to GWAS as a new phenotyping tool. It provided a new means to phenotype one of the important biochemical traits for the determination of rice quality that could be used for genetic studies.
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Registered trials
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