Agricultural soil physico-chemical parameters and microbial abundance and diversity under long-run farming practices: A greenhouse study

The growth of agriculture led to indiscriminate use of synthetic pesticides or fertilizers and unsustainable crop management farming practices which can aggravate harmful impacts on the microbial population and physical and chemical characteristics of soil ecosystem. Based on this fact, the present...

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Main Authors: Mandeep Kaur, Ji Li, Ping Zhang, He-fa Yang, Lin Wang, Ming Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Ecology and Evolution
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fevo.2022.1026771/full
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author Mandeep Kaur
Mandeep Kaur
Ji Li
Ping Zhang
He-fa Yang
Lin Wang
Lin Wang
Ming Xu
Ming Xu
Ming Xu
author_facet Mandeep Kaur
Mandeep Kaur
Ji Li
Ping Zhang
He-fa Yang
Lin Wang
Lin Wang
Ming Xu
Ming Xu
Ming Xu
author_sort Mandeep Kaur
collection DOAJ
description The growth of agriculture led to indiscriminate use of synthetic pesticides or fertilizers and unsustainable crop management farming practices which can aggravate harmful impacts on the microbial population and physical and chemical characteristics of soil ecosystem. Based on this fact, the present study was planned to evaluate the effect of long run farming practices on different soil physico-chemical parameters and soil microbial abundance and diversity within different soil depth (0–20 cm and 20–40 cm) at Quzhou Experimental Station of China Agricultural University, Hebei, China during October and December, 2016. The effect of farming practices on soil microbial abundance and diversity was studied by phospho-lipid fatty acid (PLFA) and DNA high-throughput sequencing methods. The findings revealed that soil is neutral to slightly alkaline in nature with highest water content under organic farming (ORF) at 0–20 cm and least under conventional farming at 20–40 cm depth. It was found that the ORF significantly increased the contents of total organic carbon (TOC), total carbon (TC), ammonium nitrogen, available nitrogen (AN), total nitrogen (TN), total phosphorus (TP), and available phosphorus (AP) followed by low input and conventional farming modes in both October and December soil samples. The correlation analysis showed significantly (at p ≤ 0.05 and 0.01) strong positive relationship within different physical and chemical properties of the soil under study. ANOVA and MANOVA analysis indicated significant effect of interaction between soil depth and farming modes on soil parameters. PCA analysis showed the most significant correlation between most of the bacterial types (G + bacteria, G− bacteria, actinomycetes) and soil AP, total available nitrogen, TOC and soil WC. Pearson correlation analysis revealed a significant correlation between microbial phylum groups (Proteobacteria, Bacteroidetes, and Latescibacteria) and microbial class group (Alphaproteobacteria, Sphingobacteriia, Flavobacteriia) with most of the soil physicochemical properties.
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spelling doaj.art-c97dcb2119854f57ab78b39bcda35fc32022-12-22T03:31:12ZengFrontiers Media S.A.Frontiers in Ecology and Evolution2296-701X2022-10-011010.3389/fevo.2022.10267711026771Agricultural soil physico-chemical parameters and microbial abundance and diversity under long-run farming practices: A greenhouse studyMandeep Kaur0Mandeep Kaur1Ji Li2Ping Zhang3He-fa Yang4Lin Wang5Lin Wang6Ming Xu7Ming Xu8Ming Xu9College of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng, ChinaCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng, ChinaExperimental Station of Quzhou, China Agricultural University, Beijing, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng, ChinaHenan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng, ChinaBNU-HKUST Laboratory for Green Innovation, Beijing Normal University, Zhuhai, ChinaThe growth of agriculture led to indiscriminate use of synthetic pesticides or fertilizers and unsustainable crop management farming practices which can aggravate harmful impacts on the microbial population and physical and chemical characteristics of soil ecosystem. Based on this fact, the present study was planned to evaluate the effect of long run farming practices on different soil physico-chemical parameters and soil microbial abundance and diversity within different soil depth (0–20 cm and 20–40 cm) at Quzhou Experimental Station of China Agricultural University, Hebei, China during October and December, 2016. The effect of farming practices on soil microbial abundance and diversity was studied by phospho-lipid fatty acid (PLFA) and DNA high-throughput sequencing methods. The findings revealed that soil is neutral to slightly alkaline in nature with highest water content under organic farming (ORF) at 0–20 cm and least under conventional farming at 20–40 cm depth. It was found that the ORF significantly increased the contents of total organic carbon (TOC), total carbon (TC), ammonium nitrogen, available nitrogen (AN), total nitrogen (TN), total phosphorus (TP), and available phosphorus (AP) followed by low input and conventional farming modes in both October and December soil samples. The correlation analysis showed significantly (at p ≤ 0.05 and 0.01) strong positive relationship within different physical and chemical properties of the soil under study. ANOVA and MANOVA analysis indicated significant effect of interaction between soil depth and farming modes on soil parameters. PCA analysis showed the most significant correlation between most of the bacterial types (G + bacteria, G− bacteria, actinomycetes) and soil AP, total available nitrogen, TOC and soil WC. Pearson correlation analysis revealed a significant correlation between microbial phylum groups (Proteobacteria, Bacteroidetes, and Latescibacteria) and microbial class group (Alphaproteobacteria, Sphingobacteriia, Flavobacteriia) with most of the soil physicochemical properties.https://www.frontiersin.org/articles/10.3389/fevo.2022.1026771/fullagricultural soilcarbonnitrogenphosphorusammonium nitrogennitrate nitrogen
spellingShingle Mandeep Kaur
Mandeep Kaur
Ji Li
Ping Zhang
He-fa Yang
Lin Wang
Lin Wang
Ming Xu
Ming Xu
Ming Xu
Agricultural soil physico-chemical parameters and microbial abundance and diversity under long-run farming practices: A greenhouse study
Frontiers in Ecology and Evolution
agricultural soil
carbon
nitrogen
phosphorus
ammonium nitrogen
nitrate nitrogen
title Agricultural soil physico-chemical parameters and microbial abundance and diversity under long-run farming practices: A greenhouse study
title_full Agricultural soil physico-chemical parameters and microbial abundance and diversity under long-run farming practices: A greenhouse study
title_fullStr Agricultural soil physico-chemical parameters and microbial abundance and diversity under long-run farming practices: A greenhouse study
title_full_unstemmed Agricultural soil physico-chemical parameters and microbial abundance and diversity under long-run farming practices: A greenhouse study
title_short Agricultural soil physico-chemical parameters and microbial abundance and diversity under long-run farming practices: A greenhouse study
title_sort agricultural soil physico chemical parameters and microbial abundance and diversity under long run farming practices a greenhouse study
topic agricultural soil
carbon
nitrogen
phosphorus
ammonium nitrogen
nitrate nitrogen
url https://www.frontiersin.org/articles/10.3389/fevo.2022.1026771/full
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