Evidence map›Paper›PMID 41331551›Full record

ArticleBMC plant biology2025

Comprehensive analysis of nutrient partitioning and microbial communities in pear orchards: effects of tree age and spatial heterogeneity.

Jiali Peng, Yan Sun, Jingjing Geng, Ziwei Xu, Fangfang Wang, Zhenghong Li, Huibin Wang, Shugang Zhao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jiali PengCollege of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Yan SunCollege of Life Sciences, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Jingjing GengCollege of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Ziwei XuCollege of Life Sciences, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Fangfang WangCollege of Life Science, Hengshui University, Hengshui, Hebei, 053000, China.
Zhenghong LiCollege of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Huibin WangCollege of Life Sciences, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Shugang ZhaoCollege of Life Sciences, Hebei Agricultural University, Baoding, Hebei, 071001, China. zshug@hebau.edu.cn.

Funding

Natural Science Foundation of Hebei Province C2024204183the earmarked fund for Hebei Agriculture Research System HARS, HBCT2024170203
6 · The paper itself

Abstract

backgroundPear tree nutrient requirements vary across growth stages. The spatial distributions of soil nutrients and microbial communities were analyzed to elucidate the nutrient demands at different growth stages, investigate the relationship between soil microorganisms and nutrients, and provide a theoretical basis for fertilization and soil management practices in pear orchards.

resultsDistinct temporal and spatial patterns in nutrient dynamics were observed. With increasing tree age, the leaf calcium (Ca) content initially increased then decreased, peaking at 30.96 g·kg⁻

conclusionSoil microbial communities in pear orchards are associated with P, Ca, and Zn. Nutrient elements in pear trees such as Ca, Mn, B, Mg, and Fe, which are difficult to transport and tend to accumulate in root tissues; thus, foliar application is recommended for their supplementation.

Indexed as

NutrientsPyrusSoil MicrobiologyBacteriaPhosphorusPlant LeavesSoilTreesNutrientsPhosphorusSoilPearPlant–microbiota interactionsPlant nutritionSoil heterogenicityTree age

Identifiers

PMID41331551
PMCPMC12673680

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.