Influence of a six-year organic and inorganic fertilization on the diversity of the soil culturable microrgansims in the Indian mid-Himalayas

Mahanta, Dibakar; Bhattacharyya, Ranjan; Mishra, Pankaj Kumar; Gopinath, K. A.; Channakeshavaih, Chandrashekara; Jeevanandan, Krishnan; Raja, A.; Tuti, Mangal Deep; Varghese, Eldho; Pandey, Brij Mohan; Bisht, Jaideep Kumar; Bhatt, J. C.

doi:10.1016/j.apsoil.2017.08.012

Cited by 11 publications

(14 citation statements)

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“…Bacteria were the most commonly analysed group (24 studies, including one of actinomycetes only, one of bacteria and archaea, and one of nitrogen-fixing bacteria), followed by fungi (6 studies, including one of arbuscular mycorrhizal fungi only). The functional diversity studies, and the single study reporting soil dilution plate assays (Mahanta et al, 2017), were taxonomically non-specific. Most studies were conducted in China (19), followed by India (6), with single studies from Austria, Canada, Denmark, Kenya, the Netherlands, and the USA.…”

Section: Resultsmentioning

confidence: 99%

“…Composted manures were employed in 8 studies, fresh manures in 24 studies (one study employed both). A small number of studies reported more than one manure treatment or level (Mahanta et al, 2017;Hu et al, 2018b;Liu et al, 2019). Application rates were reported as either total mass per area per year (24 studies, median 10 t ha -1 y -1 , IQR 4.9 -18.6 t ha -1 y -1 ) and/or as nitrogen addition (15 studies, median 102.0 kg ha -1 y -1 , IQR 60.0 -140.0 kg ha -1 y -1 ).…”

Section: Resultsmentioning

confidence: 99%

“…Summary of studies included in the meta-analysis (alphabetical order). Measure Methodology (Balachandar et al, 2014) Tamil Nadu, India Taxonomic 16S seq (Chaudhry et al, 2012 Maharashtra, India Functional Biolog Ecoplate (Chen et al, 2015) Jiangxi, China Functional Biolog Ecoplate (Chen et al, 2016) Jiangsu, China Taxonomic 18S seq (Cui et al, 2018) Hunan, China Taxonomic 16S seq (Ding et al, 2016) Heilongjiang, China Taxonomic 16S seq (Ding et al, 2017) Heilongjiang, China Taxonomic ITS seq (Ge et al, 2008) Fengqiu, China Taxonomic 16S seq (Gu et al, 2009) Sichuan, China Taxonomic 16S DGGE (Guanghua et al, 2008) Jilin, China Taxonomic Functional 16S DGGE Biolog Ecoplate (Hamm et al, 2016) Manitoba, Canada Taxonomic 16S seq (Han et al, 2018) Hunan, China Taxonomic nxr seq (Hu et al, 2018b) Northeast China Taxonomic 16S seq (Ji et al, 2018) Fujian, China Taxonomic 16S seq (Kamaa et al, 2011) Kabete, Kenya Taxonomic 16S and 28S DGGE (Kumar et al, 2017) Odisha, India Functional Biolog Ecoplate (Kumar et al, 2018) Odisha, India Taxonomic 16S seq Shandong, China Taxonomic 16S DGGE (Liu et al, 2015) Jiangxi, China Taxonomic 16S seq (Liu et al, 2019) Hebei, China Taxonomic TRFLP (Mahanta et al, 2017) Uttarakhand, India Taxonomic Soil dilution plate (Nautiyal et al, 2010) Maharashtra, India Functional Biolog Ecoplate (Qiu et al, 2014) Fujian, China Taxonomic 16S and 18S TGGE (Ros et al, 2006) Linz, Austria Taxonomic Functional 16S PGGE Biolog Ecoplate (Sun et al, 2004) Oklahoma, USA Taxonomic 16S DGGE (van Bruggen et al, 2015) Netherlands Taxonomic 16S DGGE (van der Bom et al, 2018) Denmark Taxonomic 16S seq (Wang et al, 2018) Heilongjiang, China Taxonomic 16S seq (Wei et al, 2008) Heilongjiang, China Taxonomic Functional 16S DGGE Biolog Ec...…”

Section: Discussionmentioning

confidence: 99%

“…One study (Ros et al, 2006) reported three comparisons, hence a multi-level random model was employed to control for within-study effects. Studies (N) refers to the number of studies (Mahanta et al, 2017) contributed to this estimate. given at the bottom of each plot, for All microbes (black), Fungi (blue) and Bacteria (red).…”

Section: Authors Contributionsmentioning

confidence: 99%

“…Random 589 intercepts were fitted per Study. "All" refers to results of a single study (Mahanta et al, 2017) which 590 used soil dilution plate assays. 591…”

Section: Authors Contributionsmentioning

confidence: 99%

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A meta-analysis of the effect of organic and mineral fertilizers on soil microbial diversity

Bebber

Richards

2020

Preprint

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The Green Revolution of agriculture was in part driven by application of synthetic mineral fertilizers, largely supplanting organic manure as a source of the major nutrients nitrogen, phosphorous and potassium (NPK). Though enhancing crop production and global food security, fertilizers have contributed to soil acidification, eutrophication of water bodies, and greenhouse gas emissions. Organic agriculture, employing manures or composts, has been proposed as a way of mitigating these undesirable effects. Of particular interest is the effect of fertilizer regime on soil microbes, which are key to nutrient cycling, plant health and soil structure. Meta-analyses of experimental studies indicate that mineral fertilizer increases soil microbial biomass over unfertilized controls, and that organic fertilizers increase microbial biomass and activity over mineral fertilizers. However, the effect of fertilizers on soil microbial diversity remains poorly understood. Since biological diversity is an important determinant of ecosystem function and a fundamental metric in community ecology, the effects of fertilizer regimes on soil microbial diversity are of theoretical and applied interest. Here, we conduct a meta-analysis of 31 studies reporting microbial diversity metrics in mineral fertilized (NPK), organically fertilized (ORG) and unfertilized control (CON) soils. Of these studies, 26 reported taxonomic diversity derived from sequencing, gradient gel electrophoresis, RFLP, or dilution plate assay. Functional diversity, derived from Biolog Ecoplate™ measures of carbon substrate metabolism, was reported in 8 studies, with 3 studies reporting both diversity metrics. We found that functional diversity was on average 2.6 % greater in NPK compared with CON, 6.8 % greater in ORG vs CON and 3.6 % greater in ORG vs NPK. Prokaryote taxonomic diversity was not significantly different between NPK and CON, 4.2 % greater in ORG vs CON and 4.6 % greater in ORG vs. NPK. Fungal taxonomic diversity was not significantly different between NPK or ORG vs CON, but 5.4 % lower between ORG and NPK. There was very high residual heterogeneity in all meta-analyses of soil diversity, suggesting that a large amount of further research with detailed analysis of soil properties is required to fully understand the influence of fertilizer regimes on microbial diversity and ecosystem function.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Authors Contributionsmentioning

confidence: 99%

“…Random 589 intercepts were fitted per Study. "All" refers to results of a single study (Mahanta et al, 2017) which 590 used soil dilution plate assays. 591…”

Section: Authors Contributionsmentioning

confidence: 99%

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