ArticleFrontiers in plant science2022
Effects of pruning on mineral nutrients and untargeted metabolites in fresh leaves of
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Effects of different harvesting seasons on the physical, chemical, and aromatic properties of tea leaves.Food chemistry: X · 2026Article
- Influencing Factors and Regulatory Mechanisms of Fresh Tea Leaf Quality: A Review.Foods (Basel, Switzerland) · 2025Review
- Effects of photosynthetic properties, soil environment and bioactive constituents of Eucommia ulmoides Oliver under two planting models.BMC plant biology · 2025Article
- Metabolome and Transcriptome Analysis Reveals the Regulatory Effect of Magnesium Treatment on EGCG Biosynthesis in Tea Shoots (Plants (Basel, Switzerland) · 2025Article
- Soil chemical factors contributing to differences in bacterial communities among tea field soils and their relationships with tea quality.Frontiers in plant science · 2025Article
- Organic fertilizer substitution optimizes aroma metabolites in Wuyi Rock tea.Frontiers in plant science · 2025Article
- Response of characteristic hormones in tea roots and leaves under magnesium regulation and their balancing regulation on growth and quality.Frontiers in plant science · 2025Article
- Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves.Plants (Basel, Switzerland) · 2023Article
- Study on the effect of magnesium on leaf metabolites, growth and quality of tea tree.Frontiers in plant science · 2023Article
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11 authors.
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Abstract
Pruning is an important strategy for increasing tea production. However, the effects of pruning on tea quality are not well understood. In this study, tea leaves were collected from Wuyi Mountain for both ionomic and metabolomic analyses. A total of 1962 and 1188 fresh tea leaves were respectively collected from pruned and unpruned tea plants sampled across 350 tea plantations. Ionomic profiles of fresh tea leaves varied significantly between pruned and unpruned sources. For tea plants, pruning was tied to decreases in the concentrations of mobile elements, such as nitrogen (N), phosphorus (P), potassium (K) and magnesium (Mg), and dramatic increases in the concentrations of the immobile ions calcium (Ca), aluminum (Al), manganese (Mn), boron (B) and cobalt (Co). Clustering and heatmap analysis showed that pruning also affected tea leaf metabolism. Among 85 metabolites that were significantly impacted by pruning, 30 were identified through random forest analysis as characteristic differential metabolites with a prediction rate of 86.21%. Redundancy analysis showed that pruning effects on mineral nutrient concentrations accounted for 25.54% of the variation in characteristic metabolites between treatments, with the highest contributions of 6.64% and 3.69% coming from Ca and Mg, respectively. In correlation network analysis, Ca and Mg both exhibited close, though opposing correlations with six key metabolites, including key quality indicators 1,3-dicaffeoylquinic acid and 2-O-caffeoyl arbutin. In summary, large scale sampling over hundreds of tea plantations demonstrated that pruning affects tea quality, mainly through influences on leaf mineral composition, with Ca and Mg playing large roles. These results may provide a solid scientific basis for improved management of high-quality tea plantations.
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