Metabolomics Reveal That the High Application of Phosphorus and Potassium in Tea Plantation Inhibited Amino-Acid Accumulation but Promoted Metabolism of Flavonoid

Wei, Kailing; Liu, Meiya; Shi, Yifan; Zhang, Hua; Ruan, Jianyun; Zhang, Qunfeng; Cao, Minhui

doi:10.3390/agronomy12051086

Cited by 19 publications

(8 citation statements)

References 30 publications

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“…The ratio of N, P and K in SCF+RSM was optimized to 1-0.17-0.39, which was more closed to the ratio of their contents in young shoots (1-0.10-0.35, Table 4 ). This result is consistent with recent findings showing that over application of P and K fertilizers reduce green tea quality ( Wei et al., 2022 ; Zhang et al., 2023 ). The concentrations of P and K in young shoots and mature leaves hardly responded to the rates of fertilizers ( Figures 1 , 2 ).…”

Section: Discussionsupporting

confidence: 93%

Optimization of nutrient management improves productivity, quality and sustainability of albino tea cultivar Baiye-1

Zhu,

Ma,

Geng

et al. 2024

Front. Plant Sci.

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Proper nutrient management is crucially important to the sustainable development of tea production. Compared to normal green-leaf cultivars, albino tea cultivars produce green tea of superior quality characterized by high contents of amino acids as a result of the hydrolysis of chloroplast proteins at albinism. However, the advantage of albino tea cultivars was offset by inferior growth and yield performance because of low contents of chlorophylls and limited photosynthesis capacity. Our understanding about the nutrition characteristics of albino tea cultivars was very limited. A four-year field experiment was conducted to develop proper nutrient management for Baiye-1 to overcome its weakness of low productivity without a tradeoff in tea quality and environmental risks. The nutrient management schemes were formulated by optimizing the rate and ratio of nitrogen (N), phosphorus, potassium and magnesium together with substitution of chemical fertilizers with organic manures. The total amounts of nutrients in the optimized schemes were reduced by 25% compared to the local farmers’ practice (FP). Results showed that optimized rates and ratio of nutrients together with partial substitution of chemical fertilizers with rapeseed cake manure more considerably improved albino tea yield, the contents of free amino acids, total polyphenol and catechins relative to FP. Partial substitution of chemical fertilizers with commercial livestock manure decreased tea quality, which was likely caused by a dilution effect of increasing tea yield and decreasing N status of tea plants. Full organic substitution of chemical fertilizers by rapeseed cake manure improved tea yield and quality but had relatively low agronomic efficiency and profit. The effect of optimized nutrient management schemes was associated with the improvement of nutritional status in tea plants. The present work demonstrated that the optimization of nutrient management considerably improved albino tea yield, quality and profit while decreased the application rate of fertilizers and the intensity of greenhouse gas emissions.

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Section: Discussionsupporting

confidence: 93%

Optimization of nutrient management improves productivity, quality and sustainability of albino tea cultivar Baiye-1

Zhu,

Ma,

Geng

et al. 2024

Front. Plant Sci.

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“…Based on coefficient distribution and cross-validation of LASSO regression, this study ultima selected six factors, namely pH−20, total potassium−20, nitrate nitrogen−20, avail phosphorus−40, hydrolytic nitrogen−40, and ammonium nitrogen−40 from 27 varia mentioned above, to establish the prediction model. The research results are consis with those of Kailing et al, who studied the effects of soil conditions on the flavo content of tea plants, as well as with those of Jiling et al, who examined the effects of conditions on the flavonoid content of roses[38,39].…”

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confidence: 76%

Prediction Model of Flavonoids Content in Ancient Tree Sun−Dried Green Tea under Abiotic Stress Based on LASSO−Cox

Li,

Wu,

Wang

et al. 2024

Agriculture

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To investigate the variation in flavonoids content in ancient tree sun–dried green tea under abiotic stress environmental conditions, this study determined the flavonoids content in ancient tree sun−dried green tea and analyzed its correlation with corresponding factors such as the age, height, altitude, and soil composition of the tree. This study uses two machine−learning models, Least Absolute Shrinkage and Selection Operator (LASSO) regression and Cox regression, to build a predictive model based on the selection of effective variables. During the process, bootstrap was used to expand the dataset for single−factor and multi−factor comparative analyses, as well as for model validation, and the goodness−of−fit was assessed using the Akaike information criterion (AIC). The results showed that pH, total potassium, nitrate nitrogen, available phosphorus, hydrolytic nitrogen, and ammonium nitrogen have a high accuracy in predicting the flavonoids content of this model and have a synergistic effect on the production of flavonoids in the ancient tree tea. In this prediction model, when the flavonoids content was >6‰, the area under the curve of the training set and validation set were 0.8121 and 0.792 and, when the flavonoids content was >9‰, the area under the curve of the training set and validation set were 0.877 and 0.889, demonstrating good consistency. Compared to modeling with all significantly correlated factors (p < 0.05), the AIC decreased by 32.534%. Simultaneously, a visualization system for predicting flavonoids content in ancient tree sun−dried green tea was developed based on a nomogram model. The model was externally validated using actual measurement data and achieved an accuracy rate of 83.33%. Therefore, this study offers a scientific theoretical foundation for explaining the forecast and interference of the quality of ancient tree sun−dried green tea under abiotic stress.

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“…In contrast, drought-applied potassium reduced the amino acid content due to the ability of both amino acids and K + to mitigate drought stress [56,57]. The tricarboxylic acid cycle is enhanced through external potassium application, which leads to photosynthetic and carbohydrate-biased redistribution [58].…”

Section: Discussionmentioning

confidence: 99%

Effects of Potassium Application on Growth and Root Metabolism of Salvia miltiorrhiza under Drought Stress

Li,

Mei,

Zhang

et al. 2023

Agronomy

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Potassium application can effectively mitigate the effects of drought stress on plant growth, and few studies have reported its application to the medicinal plant Salvia miltiorrhiza (S. miltiorrhiza). Four experimental treatments were used, including a control (Z1K0), non-drought potassium application (Z1K3), drought treatments (Z2K0), and drought-stress potassium application (Z2K3). The findings revealed that, in contrast to Z2K0, Z2K3 promoted the absorption of potassium in S. miltiorrhiza, elicited the aggregation of osmoregulatory compounds such as soluble protein and proline, and mitigated membrane impairment as a defense against the deleterious consequences of drought stress. Additionally, we extended our investigation to encompass comprehensive metabolomics analysis of the roots. Interestingly, subsequent root metabolomics analyses demonstrated that the drought application of potassium not only significantly reduced the amino acid content, but also increased the amount of terpenoids and phenolic acids in the roots. Nonetheless, the application of a particular amount of K under moderate drought conditions promoted the growth and yield of S. miltiorrhiza, but proved to be detrimental to its active ingredients. Indeed, the findings of this study offer valuable insights and recommendations for the application of potassium to mitigate the impact of drought stress in S. miltiorrhiza and other medicinal plants.

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Metabolomics Reveal That the High Application of Phosphorus and Potassium in Tea Plantation Inhibited Amino-Acid Accumulation but Promoted Metabolism of Flavonoid

Cited by 19 publications

References 30 publications

Optimization of nutrient management improves productivity, quality and sustainability of albino tea cultivar Baiye-1

Optimization of nutrient management improves productivity, quality and sustainability of albino tea cultivar Baiye-1

Prediction Model of Flavonoids Content in Ancient Tree Sun−Dried Green Tea under Abiotic Stress Based on LASSO−Cox

Effects of Potassium Application on Growth and Root Metabolism of Salvia miltiorrhiza under Drought Stress

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