Cargando…

Using hyperspectral analysis as a potential high throughput phenotyping tool in GWAS for protein content of rice quality

BACKGROUND: The 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 biochemic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sun, Dawei, Cen, Haiyan, Weng, Haiyong, Wan, Liang, Abdalla, Alwaseela, El-Manawy, Ahmed Islam, Zhu, Yueming, Zhao, Nan, Fu, Haowei, Tang, Juan, Li, Xiaolong, Zheng, Hongkun, Shu, Qingyao, Liu, Fei, He, Yong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532189/ https://www.ncbi.nlm.nih.gov/pubmed/31139243 http://dx.doi.org/10.1186/s13007-019-0432-x

Ejemplares similares

High-Throughput Screening of Free Proline Content in Rice Leaf under Cadmium Stress Using Hyperspectral Imaging with Chemometrics
por: Shen, Tingting, et al.
Publicado: (2020)

Non-destructive monitoring of amylose content in rice by UAV-based hyperspectral images
por: Wang, Fumin, et al.
Publicado: (2022)

Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing
por: Cao, Yingli, et al.
Publicado: (2020)

Spatiotemporal Heterogeneity of Chlorophyll Content and Fluorescence Response Within Rice (Oryza sativa L.) Canopies Under Different Nitrogen Treatments
por: Zhang, Jiafei, et al.
Publicado: (2021)

Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras
por: Cen, Haiyan, et al.
Publicado: (2019)

Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging
por: Yao, Jieni, et al.
Publicado: (2018)

High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion
por: Zhang, Huichun, et al.
Publicado: (2022)

Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology
por: Xia, Zhengyan, et al.
Publicado: (2017)

Mutagenic Effect of Three Ion Beams on Rice and Identification of Heritable Mutations by Whole Genome Sequencing
por: Zheng, Yunchao, et al.
Publicado: (2020)

Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging
por: He, Xiantao, et al.
Publicado: (2019)

Mutations of OsPLDa1 Increase Lysophospholipid Content and Enhance Cooking and Eating Quality in Rice
por: Khan, Muhammad Saad Shoaib, et al.
Publicado: (2020)

Time-Series Chlorophyll Fluorescence Imaging Reveals Dynamic Photosynthetic Fingerprints of sos Mutants to Drought Stress
por: Sun, Dawei, et al.
Publicado: (2019)

Evolution of different rice ecotypes and genetic basis of flooding adaptability in Deepwater rice by GWAS
por: Wang, Xueqiang, et al.
Publicado: (2022)

Estimation of Soil Arsenic Content with Hyperspectral Remote Sensing
por: Wei, Lifei, et al.
Publicado: (2020)

Hyperspectral signature-band extraction and learning: an example of sugar content prediction of Syzygium samarangense
por: Yan, Yung-Jhe, et al.
Publicado: (2023)

Classification of rice leaf blast severity using hyperspectral imaging
por: Zhang, Guosheng, et al.
Publicado: (2022)

Quantifying physiological trait variation with automated hyperspectral imaging in rice
por: Ting, To-Chia, et al.
Publicado: (2023)

The Application of Multi-Locus GWAS for the Detection of Salt-Tolerance Loci in Rice
por: Cui, Yanru, et al.
Publicado: (2018)

Genetic basis and identification of candidate genes for salt tolerance in rice by GWAS
por: Yuan, Jie, et al.
Publicado: (2020)

GWAS for Starch-Related Parameters in Japonica Rice (Oryza sativa L.)
por: Biselli, Chiara, et al.
Publicado: (2019)

Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS
por: Zhong, Hua, et al.
Publicado: (2021)

Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS
por: Zhu, Xiaoyang, et al.
Publicado: (2023)

A High Throughput Integrated Hyperspectral Imaging and 3D Measurement System
por: Zhao, Huijie, et al.
Publicado: (2018)

Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum
por: Zhi, Xiaoyu, et al.
Publicado: (2022)

Low-Cost Hyperspectral Imaging to Detect Drought Stress in High-Throughput Phenotyping
por: Genangeli, Andrea, et al.
Publicado: (2023)

Optimization of 3D Point Clouds of Oilseed Rape Plants Based on Time-of-Flight Cameras
por: Ma, Zhihong, et al.
Publicado: (2021)

Hyperspectral Imaging Combined With Deep Transfer Learning for Rice Disease Detection
por: Feng, Lei, et al.
Publicado: (2021)

Detection of Rice Fungal Spores Based on Micro- Hyperspectral and Microfluidic Techniques
por: Zhang, Xiaodong, et al.
Publicado: (2023)

Estimating the rice nitrogen nutrition index based on hyperspectral transform technology
por: Yu, Fenghua, et al.
Publicado: (2023)

Using High-Throughput Animal or Cell-Based Models to Functionally Characterize GWAS Signals
por: Dourlen, Pierre, et al.
Publicado: (2018)

Feasibility of Using Rice Leaves Hyperspectral Data to Estimate CaCl(2)-extractable Concentrations of Heavy Metals in Agricultural Soil
por: Zhou, Weihong, et al.
Publicado: (2019)

High Throughput In vivo Analysis of Plant Leaf Chemical Properties Using Hyperspectral Imaging
por: Pandey, Piyush, et al.
Publicado: (2017)

Correction to: uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS
por: Zhong, Hua, et al.
Publicado: (2021)

Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice
por: Li, Pingping, et al.
Publicado: (2023)

Protein content prediction in single wheat kernels using hyperspectral imaging
por: Caporaso, Nicola, et al.
Publicado: (2018)

Estimating foliar anthocyanin content of purple corn via hyperspectral model
por: Gu, Xiaohe, et al.
Publicado: (2018)

Exploring the Potential of HySpex Hyperspectral Imagery for Extraction of Copper Content
por: Jiang, Guo, et al.
Publicado: (2020)

Rapid determination of pit mud moisture content using hyperspectral imaging
por: Zhu, Min, et al.
Publicado: (2019)

Study on starch content detection and visualization of potato based on hyperspectral imaging
por: Wang, Fuxiang, et al.
Publicado: (2021)

Estimation of amino acid contents in maize leaves based on hyperspectral imaging
por: Shu, Meiyan, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_85rnpm2muk345d8pqnffitodr8