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豆科-禾本科混播草地中土壤肥力指标及真菌群落多样性对施肥策略的响应

Responses of soil fertility indicators and fungi community diversity to fertilization strategies in legume-grass mixtures.

作者信息

Chen Jingru, Chen Xiaoshan, Nan Li Li

机构信息

Key Laboratory of Grassland Ecosystem of Ministry of Education, College of Pratacultural Science, Gansu Agricultural University, Lanzhou, China.

Key Laboratory of Forage Germplasm Innovation and New Variety Breeding of Ministry of Agriculture and Rural Affairs (Co-sponsored by the Ministry and Gansu Province), Lanzhou, China.

出版信息

Front Plant Sci. 2025 May 8;16:1579011. doi: 10.3389/fpls.2025.1579011. eCollection 2025.

DOI:10.3389/fpls.2025.1579011
PMID:40406723
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12095180/
Abstract

INTRODUCTION

Alfalfa-grass binary mixtures outperformed monocultures in nutrient use, soil nutrient content, and biomass yield. Nonetheless, the impact of fertilization strategies on fungal community composition and ecological functions in legume-Grass mixtures remains under-researched. This study aimed to explore the effects of different fertilization strategies on soil fungal community distribution and soil environmental characteristics.

METHODS

A field experiment in Gansu, China, has been conducted to explore the effects of five different fertilization strategies-no fertilization (CK), three partial fertilization methods (+PK, +NK, +NP), and balanced fertilization (+NPK)-on fungal population richness, community composition, and soil environmental drivers. Rhizosphere soils from the five treatments were sampled and investigated using high-throughput ITS sequencing.

RESULTS

Compared to CK, +NPK led to higher soil capabilities (< 0.05), soil organic matter (SOM), available nitrogen (AN), available phosphorus (AP), and available potassium (AK) increased by an average of 29.7 %, 42.3 %, 101.2 %, and 24.3 %, respectively; alkaline phosphatase (APA), catalase (CAT), and sucrase (SA) increased by an average of 56.6 %, 31.8 %, and 46.7 %, respectively; soil microbial biomass carbon (SMBC), soil microbial biomass nitrogen (SMBN), and soil microbial biomass phosphorus (SMBP) increased by an average of 64.8 %, 65.1 %, and 60.4 %, respectively. The dominant fungi in the rhizosphere soil were Mortierellomycota and Ascomycota, accounting for 82.2%-92.3%. The fungal species richness was the highest in the +PK treatment. From the NMDS and RDA analysis, it can be discerned that SA, AK, and CAT were the key environmental factors influencing the structure of the inter-root soil fungal community in alfalfa; CAT and SOM were the key environmental factors influencing the structure of the inter-root soil fungal community in awnless brome.

DISCUSSION

Our findings investigated the optimal fertilizer strategy for legume-Grass mixtures. Results provided a technical basis for scientific fertilizer application and development of local mixed grassland ecosystems.

摘要

引言

苜蓿 - 禾本科二元混合物在养分利用、土壤养分含量和生物量产量方面优于单一栽培。尽管如此,施肥策略对豆科 - 禾本科混合物中真菌群落组成和生态功能的影响仍未得到充分研究。本研究旨在探讨不同施肥策略对土壤真菌群落分布和土壤环境特征的影响。

方法

在中国甘肃进行了田间试验,以探究五种不同施肥策略——不施肥(CK)、三种部分施肥方法(+PK、+NK、+NP)和平衡施肥(+NPK)——对真菌种群丰富度、群落组成和土壤环境驱动因素的影响。对五种处理的根际土壤进行采样,并使用高通量ITS测序进行调查。

结果

与CK相比,+NPK导致土壤能力更高(<0.05),土壤有机质(SOM)、有效氮(AN)、有效磷(AP)和有效钾(AK)分别平均增加29.7%、42.3%、101.2%和24.3%;碱性磷酸酶(APA)、过氧化氢酶(CAT)和蔗糖酶(SA)分别平均增加56.6%、31.8%和46.7%;土壤微生物生物量碳(SMBC)、土壤微生物生物量氮(SMBN)和土壤微生物生物量磷(SMBP)分别平均增加64.8%、65.1%和60.4%。根际土壤中的优势真菌为被孢霉门和子囊菌门,占82.2% - 92.3%。真菌物种丰富度在+PK处理中最高。从NMDS和RDA分析可以看出,SA、AK和CAT是影响苜蓿根际土壤真菌群落结构的关键环境因素;CAT和SOM是影响无芒雀麦根际土壤真菌群落结构的关键环境因素。

讨论

我们的研究结果探究了豆科 - 禾本科混合物的最佳施肥策略。研究结果为科学施肥和当地混合草地生态系统的发展提供了技术依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/897960160661/fpls-16-1579011-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/bd8e4a08b40d/fpls-16-1579011-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/e7d0bf5f9f8b/fpls-16-1579011-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/f9ed3eca393e/fpls-16-1579011-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/4a4cbf7adb00/fpls-16-1579011-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/897960160661/fpls-16-1579011-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/bd8e4a08b40d/fpls-16-1579011-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/e7d0bf5f9f8b/fpls-16-1579011-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/f9ed3eca393e/fpls-16-1579011-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/e4f067dc5acd/fpls-16-1579011-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/4a4cbf7adb00/fpls-16-1579011-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084c/12095180/897960160661/fpls-16-1579011-g006.jpg

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