Evidence map›Paper›PMID 42591289›Full record

ArticleFrontiers in plant science2026

Fertilization measures improve agronomic traits of alfalfa by regulating root bacterial co-occurrence networks.

Wentao Mi, Shuang Liang, Ru Meng, Weibo Ren, Ting Yuan, Min Wang, Xiaona Zhang, Hao Zheng, Feng Yuan, Chengchen Pan

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Wentao Mi *Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, Ministry of Education, Hohhot, China.
Shuang Liang *Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, Ministry of Education, Hohhot, China.
Ru MengKey Laboratory of Ecology and Resource Use of the Mongolian Plateau, Ministry of Education, Hohhot, China.
Weibo RenKey Laboratory of Ecology and Resource Use of the Mongolian Plateau, Ministry of Education, Hohhot, China.
Ting YuanOffice of Scientific Research, Inner Mongolia University of Finance and Economics, Hohhot, China.
Min WangDepartment of Architectural Engineering, Taishan Polytechnic, Tai'an, Shandong, China.
Xiaona ZhangInner Mongolia Institute of Forestry and Grassland Monitoring and Planning, Hohhot, China.
Hao ZhengKey Laboratory of Ecology and Resource Use of the Mongolian Plateau, Ministry of Education, Hohhot, China.
Feng YuanNational Center of Pratacultural Technology Innovation, Hohhot, China.
Chengchen PanNorthwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Alfalfa ( Methods: We examined the effects of 14 fertilization treatments-including a nonfertilized control, single-nutrient-deficient treatments, and treatments with varying or imbalanced N-P-K ratios-on soil properties, agronomic traits, and rhizosphere bacteria in alfalfa based on a two-year "3414" fertilization experiment. Results: All fertilization treatments significantly (p < 0.05) increased soil nutrient content, and, due to the interaction between the cumulative effects of fertilizers and associated biological processes, soil nutrient levels differed significantly between years. At the same time, fertilization significantly improved alfalfa agronomic traits (e.g., height, stem diameter, and yield), with the optimal fertilization treatment (N2P2K2: 135 kg ha Conclusion: This study demonstrates that optimal NPK fertilization enhances alfalfa productivity by simplifying and stabilizing the rhizosphere bacterial co-occurrence network, providing a microbiological basis for precision fertilization management in leguminous forage production.

Indexed as

agronomic traitsco-occurrence networkfertilizationrhizosphere bacteriasoil nutrients

Identifiers

PMID42591289
PMCPMC13461736

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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.