Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Side angle tea picking. by Chunhua Yang (346871)

“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”

Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC. by Sara Hijazi (21656615)

“…TEA-sensitive currents were specifically decreased in PV interneurons from mice that received cuprizone treatment compared to control mice (<i>group x voltage two-way repeated measures: n = 10,14 cells from 5 mice per group: F(13,286) = 5.082, p < 0.0001</i>). …”

The soil bacterial community richness and diversity in different tea varieties root zone soil. by Jun Sun (48981)

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LEfSe analysis of root zone soil bacterium from different tea varieties. by Jun Sun (48981)

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Relative abundance of bacteria phyla (a) and classes (b) in root zone soil of different tea varieties. by Jun Sun (48981)

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The physical and chemical properties of root zone soil. by Jun Sun (48981)

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RDA and pearson correlation analysis of soil bacterial communities and soil environmental factors. by Jun Sun (48981)

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Prediction of bacterial BugBase phenotype. by Jun Sun (48981)

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KEGG enrichment map of differential metabolites (a) and differential abundance score map (b). by Jun Sun (48981)

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PCA of bacterial communities. by Jun Sun (48981)

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Alpha diversity, differential Metabolites, KEG DA score, lefse, Metabolites (all), OTUs, PCA components, RDA result.VIF and result. RDA. envfit. by Jun Sun (48981)

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Detected metabolites (a), volcano plot (b) and scatter plot (c) of differential metabolites. by Jun Sun (48981)

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Correlation of differential metabolites. by Jun Sun (48981)

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OUT Venn diagram. by Jun Sun (48981)

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Table 1_Biochar-based fertilizer increases soil nutrients and enhances tea quality: a metabolomics-based analysis.docx by Zhenyu Yang (427524)

“…Notably, BF2 applied for 2 years significantly increased the content of free amino acids, total flavonoids, soluble sugar, while reduced the phenol-ammonia ratio (p < 0.05), thereby improving tea quality. Further metabolomics analysis revealed that BF2 treatment significantly elevated the levels of amino acids, including theanine, threonine, proline, valine, and glutamic acid, while decreasing catechins including C, EC, and EGCG, thus leading to reduced bitterness and astringency and enhanced freshness. …”

Training loss variation of GNN-FTuckER on the TeaPle dataset. by Jun Li (6494)

“…<p>Note: The training loss of the GNN-FTuckER model on the TeaPle dataset decreases gradually with the number of training epochs, indicating model convergence.…”

Data Sheet 1_Exogenous strigolactones modulate antioxidant metabolism via CsD27 to enhance drought tolerance in tea plants.docx by Jingyue Shen (21495281)

“…Notably, we identified CsD27 as a key SL-biosynthetic gene, whose expression level was negatively correlated with malondialdehyde (MDA), mechanistically linking its function in drought tolerance in tea plants. Overexpression of CsD27 enhanced the drought tolerance of transgenic Arabidopsis with decreased MDA content and increased survival rate under drought stress. …”

Table_3_Widely targeted metabolomics and SPME-GC-MS analysis revealed the quality characteristics of non-volatile/volatile compounds in Zheng’an Bai tea.xls by Li Liu (75607)

“…Moderate spreading is conducive to the release of the aroma of tea leaves, but fixation causes a sharp decrease in the content of most volatile metabolites. …”

Image_4_Widely targeted metabolomics and SPME-GC-MS analysis revealed the quality characteristics of non-volatile/volatile compounds in Zheng’an Bai tea.tif by Li Liu (75607)

“…Moderate spreading is conducive to the release of the aroma of tea leaves, but fixation causes a sharp decrease in the content of most volatile metabolites. …”