Characterization and application of highly effective rhizobia isolated from <i>Medicago ruthenica</i> in alpine grassland

Abstract Background The symbiotic relationship between legume forages and their rhizobia is highly specific, and the effectiveness of rhizobial inoculants is often limited by local soil and climatic conditions. Therefore, identifying rhizobial strains that are well‐adapted to specific environments is crucial for improving nitrogen fixation efficiency. Methods Four rhizobial strains were isolated from Medicago ruthenica (L.) Trautv and evaluated for their symbiotic performance with the same host plant. The most effective strain was identified based on key physiological parameters following inoculation. Response surface methodology was then applied to optimize the growth medium for the selected strain, GBXD30. Results Inoculation with strain GBXD30 increased plant biomass by 12%, enhanced the number of effective nodules by 3.5‐fold, and boosted nitrogenase activity by 0.8‐fold, compared to the reference strain USDA1844. Optimization of the fermentation medium via response surface analysis further demonstrated the potential of GBXD30 as a highly effective rhizobial inoculant suitable for alpine grassland conditions. Conclusions The targeted selection and application of effective rhizobial strains, such as GBXD30, are critical for maximizing nitrogen fixation in alpine legume forages. These findings offer valuable insights for developing rhizobial inoculants tailored to alpine ecosystems.

Authors

Institutions

Publication Details

Journal
Grassland Research
Published
2025-09-01
DOI
https://doi.org/10.1002/glr2.70019
Primary Topic
Legume Nitrogen Fixing Symbiosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization and application of highly effective rhizobia isolated from Medicago ruthenica in alpine grassland

Zhao‐Long Lü, Tingyu Duan, Ming Guang Chu, Jinpeng Hu et al.
Grassland Research
Legume Nitrogen Fixing Symbiosis
article

Characterization and application of highly effective rhizobia isolated from Medicago ruthenica in alpine grassland

Zhao‐Long Lü, Tingyu Duan, Ming Guang Chu, Jinpeng Hu, Mingxu Zhang, Christopher Rensing, Solomon Boamah, Jinlin Zhang, Yanhua Cao
article en

Abstract

Abstract Background The symbiotic relationship between legume forages and their rhizobia is highly specific, and the effectiveness of rhizobial inoculants is often limited by local soil and climatic conditions. Therefore, identifying rhizobial strains that are well‐adapted to specific environments is crucial for improving nitrogen fixation efficiency. Methods Four rhizobial strains were isolated from Medicago ruthenica (L.) Trautv and evaluated for their symbiotic performance with the same host plant. The most effective strain was identified based on key physiological parameters following inoculation. Response surface methodology was then applied to optimize the growth medium for the selected strain, GBXD30. Results Inoculation with strain GBXD30 increased plant biomass by 12%, enhanced the number of effective nodules by 3.5‐fold, and boosted nitrogenase activity by 0.8‐fold, compared to the reference strain USDA1844. Optimization of the fermentation medium via response surface analysis further demonstrated the potential of GBXD30 as a highly effective rhizobial inoculant suitable for alpine grassland conditions. Conclusions The targeted selection and application of effective rhizobial strains, such as GBXD30, are critical for maximizing nitrogen fixation in alpine legume forages. These findings offer valuable insights for developing rhizobial inoculants tailored to alpine ecosystems.

Grassland ResearchVol. 4(3)
Ministry of Agriculture (EE), Fujian Agriculture and Forestry University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 83%
Legume Nitrogen Fixing Symbiosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.