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Soil Microbial Indicators within Rotations and Tillage Systems

Recent advancements in agricultural metagenomics allow for characterizing microbial indicators of soil health brought on by changes in management decisions, which ultimately affect the soil environment. Field-scale studies investigating the microbial taxa from agricultural experiments are sparse, wi...

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Autores principales: Behnke, Gevan D., Kim, Nakian, Zabaloy, Maria C., Riggins, Chance W., Rodriguez-Zas, Sandra, Villamil, Maria B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228827/
https://www.ncbi.nlm.nih.gov/pubmed/34201118
http://dx.doi.org/10.3390/microorganisms9061244
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author Behnke, Gevan D.
Kim, Nakian
Zabaloy, Maria C.
Riggins, Chance W.
Rodriguez-Zas, Sandra
Villamil, Maria B.
author_facet Behnke, Gevan D.
Kim, Nakian
Zabaloy, Maria C.
Riggins, Chance W.
Rodriguez-Zas, Sandra
Villamil, Maria B.
author_sort Behnke, Gevan D.
collection PubMed
description Recent advancements in agricultural metagenomics allow for characterizing microbial indicators of soil health brought on by changes in management decisions, which ultimately affect the soil environment. Field-scale studies investigating the microbial taxa from agricultural experiments are sparse, with none investigating the long-term effect of crop rotation and tillage on microbial indicator species. Therefore, our goal was to determine the effect of rotations (continuous corn, CCC; continuous soybean, SSS; and each phase of a corn-soybean rotation, Cs and Sc) and tillage (no-till, NT; and chisel tillage, T) on the soil microbial community composition following 20 years of management. We found that crop rotation and tillage influence the soil environment by altering key soil properties, such as pH and soil organic matter (SOM). Monoculture corn lowered pH compared to SSS (5.9 vs. 6.9, respectively) but increased SOM (5.4% vs. 4.6%, respectively). Bacterial indicator microbes were categorized into two groups: SOM dependent and acidophile vs. N adverse and neutrophile. Fungi preferred the CCC rotation, characterized by low pH. Archaeal indicators were mainly ammonia oxidizers with species occupying niches at contrasting pHs. Numerous indicator microbes are involved with N cycling due to the fertilizer-rich environment, prone to aquatic or gaseous losses.
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spelling pubmed-82288272021-06-26 Soil Microbial Indicators within Rotations and Tillage Systems Behnke, Gevan D. Kim, Nakian Zabaloy, Maria C. Riggins, Chance W. Rodriguez-Zas, Sandra Villamil, Maria B. Microorganisms Article Recent advancements in agricultural metagenomics allow for characterizing microbial indicators of soil health brought on by changes in management decisions, which ultimately affect the soil environment. Field-scale studies investigating the microbial taxa from agricultural experiments are sparse, with none investigating the long-term effect of crop rotation and tillage on microbial indicator species. Therefore, our goal was to determine the effect of rotations (continuous corn, CCC; continuous soybean, SSS; and each phase of a corn-soybean rotation, Cs and Sc) and tillage (no-till, NT; and chisel tillage, T) on the soil microbial community composition following 20 years of management. We found that crop rotation and tillage influence the soil environment by altering key soil properties, such as pH and soil organic matter (SOM). Monoculture corn lowered pH compared to SSS (5.9 vs. 6.9, respectively) but increased SOM (5.4% vs. 4.6%, respectively). Bacterial indicator microbes were categorized into two groups: SOM dependent and acidophile vs. N adverse and neutrophile. Fungi preferred the CCC rotation, characterized by low pH. Archaeal indicators were mainly ammonia oxidizers with species occupying niches at contrasting pHs. Numerous indicator microbes are involved with N cycling due to the fertilizer-rich environment, prone to aquatic or gaseous losses. MDPI 2021-06-08 /pmc/articles/PMC8228827/ /pubmed/34201118 http://dx.doi.org/10.3390/microorganisms9061244 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Behnke, Gevan D.
Kim, Nakian
Zabaloy, Maria C.
Riggins, Chance W.
Rodriguez-Zas, Sandra
Villamil, Maria B.
Soil Microbial Indicators within Rotations and Tillage Systems
title Soil Microbial Indicators within Rotations and Tillage Systems
title_full Soil Microbial Indicators within Rotations and Tillage Systems
title_fullStr Soil Microbial Indicators within Rotations and Tillage Systems
title_full_unstemmed Soil Microbial Indicators within Rotations and Tillage Systems
title_short Soil Microbial Indicators within Rotations and Tillage Systems
title_sort soil microbial indicators within rotations and tillage systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228827/
https://www.ncbi.nlm.nih.gov/pubmed/34201118
http://dx.doi.org/10.3390/microorganisms9061244
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