Cargando…
Potential of spectroscopic analyses for non-destructive estimation of tea quality-related metabolites in fresh new leaves
Spectroscopic sensing provides physical and chemical information in a non-destructive and rapid manner. To develop non-destructive estimation methods of tea quality-related metabolites in fresh leaves, we estimated the contents of free amino acids, catechins, and caffeine in fresh tea leaves using v...
Autores principales: | Yamashita, Hiroto, Sonobe, Rei, Hirono, Yuhei, Morita, Akio, Ikka, Takashi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892543/ https://www.ncbi.nlm.nih.gov/pubmed/33603126 http://dx.doi.org/10.1038/s41598-021-83847-0 |
Ejemplares similares
-
Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms
por: Yamashita, Hiroto, et al.
Publicado: (2020) -
Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms
por: Sonobe, Rei, et al.
Publicado: (2020) -
Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions
por: Yamashita, Hiroto, et al.
Publicado: (2021) -
Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding
por: Yamashita, Hiroto, et al.
Publicado: (2019) -
Genomic predictions and genome-wide association studies based on RAD-seq of quality-related metabolites for the genomics-assisted breeding of tea plants
por: Yamashita, Hiroto, et al.
Publicado: (2020)