Evidence map›Paper›PMID 41281320›Full record

ArticleFrontiers in plant science2025

Optimizing nitrogen management for young rubber trees: gradients effects on nutrient partitioning and root structural adaptation.

Yongfa Zhang, Dongqi Jin, Xuehua Luo, Chunmei Zhao, Xinxin Xue, Changqi Ren, Xiaoshuang Wu, Yu Wang, Jingmin Zhang, Wei Luo and 1 more

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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

11 authors.

Yongfa Zhang *Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Dongqi Jin *Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Xuehua LuoRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Chunmei ZhaoRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Xinxin XueRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Changqi RenRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Xiaoshuang WuRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Yu WangRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Jingmin ZhangRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Wei LuoRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.
Wenbin WangRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou Key Laboratory of Soil Health and Nutrient Utilization/Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Efficient nitrogen (N) management is crucial for the sustainable cultivation of rubber tree (Hevea brasiliensis) seedlings. Methods: This study aimed to determine the effects of low (CK, 32.4 g tree⁻¹), medium (MN, 64.8 g tree⁻¹), and high (HN, 97.2 g tree⁻¹) nitrogen application on plant growth, chlorophyll content, nitrogen allocation, and root architecture in young rubber trees. Results: Results indicate that MN application optimized plant performance. The MN treatment yielded the highest sustained chlorophyll a+b content, peaking 60 days post-fertilization, and the lowest chlorophyll a/b ratio. It also demonstrated superior nitrogen fertilizer utilization, with significantly higher nitrogen derived from fertilizer (Ndff) in leaves across various growth stages and in most organs during dormancy. Consistently, MN application resulted in the highest whole-plant biomass (846.88 g/plant) and total nitrogen accumulation (13.79 g/plant), with a marked increase in allocation to structural components. The MN treatment promoted the development of a more vigorous fine root system during dormancy, with significantly greater root length, diameter, surface area, and volume. Correlation analysis revealed significant positive associations between fine root N content/Ndff and these root architectural traits. Discussion: Consequently, while HN application provides a transient boost in chlorophyll a, it is associated with lower nitrogen uptake efficiency and increased dependence on soil nitrogen, leading to reduced biomass and N accumulation. This pattern of inefficiency under high nitrogen inputs underscores suboptimal fertilizer use and suggests a greater potential for environmental nitrogen losses. Therefore, medium nitrogen application emerges as the most effective strategy for enhancing seedling growth and nitrogen use efficiency in young rubber tree seedlings.

Indexed as

15N isotope tracingdormant period physiologynitrogen allocationnutrient retranslocationroot morphologysustainable cultivation

Identifiers

PMID41281320
PMCPMC12634636

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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.