Evidence map›Paper›PMID 40822713›Full record

ArticleFrontiers in plant science2025

Effects of nitrogen application amount on nitrogen distribution and photosynthesis in tea leaves.

Kai Li, Dong-Na Liu, Lan-Ying Li, Yuan Gao, Wan-Jun Gao, Bo-Wen Chen, Fan Luo, Yu Yao

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kai LiTea Research Institute, Tea Resources Utilization and Quality Testing Key Laboratory of Sichuan Province,Sichuan Academy of Agricultural Sciences, Chengdu, China.
Dong-Na LiuTea Research Institute, Tea Resources Utilization and Quality Testing Key Laboratory of Sichuan Province,Sichuan Academy of Agricultural Sciences, Chengdu, China.
Lan-Ying LiTea Research Institute, Tea Resources Utilization and Quality Testing Key Laboratory of Sichuan Province,Sichuan Academy of Agricultural Sciences, Chengdu, China.
Yuan GaoTea Research Institute, Tea Resources Utilization and Quality Testing Key Laboratory of Sichuan Province,Sichuan Academy of Agricultural Sciences, Chengdu, China.
Wan-Jun GaoTea Research Institute, Tea Resources Utilization and Quality Testing Key Laboratory of Sichuan Province,Sichuan Academy of Agricultural Sciences, Chengdu, China.
Bo-Wen ChenTea Research Institute, Tea Resources Utilization and Quality Testing Key Laboratory of Sichuan Province,Sichuan Academy of Agricultural Sciences, Chengdu, China.
Fan LuoTea Research Institute, Tea Resources Utilization and Quality Testing Key Laboratory of Sichuan Province,Sichuan Academy of Agricultural Sciences, Chengdu, China.
Yu YaoTea Research Institute, Tea Resources Utilization and Quality Testing Key Laboratory of Sichuan Province,Sichuan Academy of Agricultural Sciences, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen is the most essential nutrient for plant growth and serves as a key limiting factor in overall plant development. Photosynthesis is the primary process for energy capture in the biosphere, and its effectiveness is significantly influenced by the nitrogen content and distribution within leaves. In this experiment, the yellow tea variety "Jinfeng No. 2" (hereinafter referred to as JF) and the green tea variety "Fuding Da Bai Tea" (hereinafter referred to as FD) were utilized as experimental materials. Five nitrogen levels were established to investigate the effects of varying nitrogen levels on leaf characteristics, including photosynthetic physiology, leaf nitrogen allocation, and photosynthetic nitrogen use efficiency in tea plants. The results demonstrated that the net photosynthetic rate and photosynthetic nitrogen use efficiency of both tea cultivars initially increased and then decreased with rising nitrogen levels. As nitrogen levels gradually increased, the nitrogen content in the carboxylation and electron transport systems for both tea varieties first rose and then declined. Specifically, nitrogen content in the light capture system of FD increased initially but then decreased, while in JF, it exhibited a steady increase. Additionally, nitrogen content in the structural system increased slowly, whereas that in the storage system rose significantly. With increasing nitrogen levels, the distribution ratio of leaf nitrogen in the carboxylation and electron transport systems initially increased and then decreased; in the structural system, it first decreased and subsequently stabilized, while in the storage system, it gradually increased. In the light capture system, the two varieties displayed different trends: FD's nitrogen distribution decreased, while JF's increased. Our results indicated that within a certain range, increasing nitrogen levels can significantly enhance the photosynthetic capacity of tea plants and improve photosynthetic nitrogen use efficiency. However, at high nitrogen levels, the reduction in nitrogen content and the proportion allocated to the photosynthetic system, along with the increase in nitrogen content and proportion allocated to non-photosynthetic systems, were the primary factors contributing to the decline in net photosynthetic rate and photosynthetic nitrogen use efficiency. By increasing the nitrogen content in the carboxylation and electron transport systems, tea plants can achieve enhanced photosynthetic capacity.

Indexed as

Camellia sinensisleaf nitrogen allocationnitrogenphotosynthetic nitrogen use efficiencyphotosynthetic system

Identifiers

PMID40822713
PMCPMC12354480

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.