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![]() CORCIMARU, Serghei, MERENIUC, Lilia, SÎTNIC, Feodora. Microbiological tools for effective assessment and prediction of the impact of soil management on soil organic matter. In: Agrobiodiversity for improving the nutrition, health: , quality of life and spiritual human development, Ed. 5, 3 noiembrie 2021, Nitra. Nitra, Slovacia: Slovak University of Agriculture in Nitra, 2021, Ediția 5, p. 38. ISBN 978-80-552-2401-5. 10.15414/2021.9788055224015 |
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Agrobiodiversity for improving the nutrition, health Ediția 5, 2021 |
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Conferința "Agrobiodiversity for Improving the Nutrition, Health, Quality of Life and Spiritual Human Development" 5, Nitra, Slovacia, 3 noiembrie 2021 | ||||||
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Pag. 38-38 | ||||||
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Rezumat | ||||||
Efficient tools for the assessment and prediction of impacts on soil organic matter (SOM) |
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Cuvinte-cheie soil microbial biomass, soil organic matter, soil biodiversity, soil quality prediction |
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<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:oai_dc='http://www.openarchives.org/OAI/2.0/oai_dc/' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xsi:schemaLocation='http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd'> <dc:creator>Corcimaru, S.S.</dc:creator> <dc:creator>Mereniuc, L.F.</dc:creator> <dc:creator>Sîtnic, F.N.</dc:creator> <dc:date>2021</dc:date> <dc:description xml:lang='en'><p>Efficient tools for the assessment and prediction of impacts on soil organic matter (SOM)<br />are necessary for the development of sustainable management practices aimed at maintaining<br />and enhancing soil biodiversity. The usefulness of direct SOM measurements in these matters<br />is constrained by the impossibility of establishing experimentally verifiable changes within a<br />relatively short time. Soil microbial biomass (SMB) is among the most promising tools for<br />timely detection and prediction of changes in SOM induced by soil management. The purpose<br />of this work was to make use of the advantages of long-term field experiments to identify<br />microbial parameters that could be used as an effective tool for SOM-related assessments and<br />predictions. The long-term field experiments of the study included 2 soil types (the moderately<br />and the poorly humified Typical chernozems), 6 traditional (10-field) and 5 ecological (7-field)<br />crop rotations with and without alfalfa, mineral fertilizers and/or farmyard manure;<br />continuous black fallow and 5 continuous crops with and without mineral fertilizers with<br />farmyard manure. Soil samples were collected in the springtime from a depth of 0-20 cm;<br />passed through a 2 mm sieve and plant material, stones and visible organisms removed<br />manually; adjusted to 40 percent water holding capacity and pre-incubated for 10 days at 25oC<br />in the dark, in aerated plastic bags with periodic adjustment of moisture. SOM was determined<br />by dichromate oxidation followed by back titration of the excess dichromate. SMB was<br />determined by substrate-induced respiration and/or fumigation-extraction. Basal respiration<br />was determined by using IRGA or gas chromatography. Metabolic quotient was calculated as<br />basal respiration expressed per unit of SMB carbon, and microbial quotient was expressed as<br />the percentage of SMB carbon to the total soil organic carbon.<br />Significant correlations between SOM and soil microbial parameters (SMB, and/or basal<br />respiration, and/or metabolic quotient) were observed in the moderately and poorly humified<br />Typical chernozems of the studied long-term field experiments. These correlations<br />demonstrated that with time-specific relationships between SOM and SMB related parameters<br />are reached in the chernozem soils of Moldova, relationships that remain the same across a wide<br />range of experimental variants with different levels of SOM and SMB, and are conditioned by<br />peculiarities of soil management. These correlations as well as the difference in the turnover<br />rates between SMB and SOM permit a practical possibility of using SMB as a tool for SOM-related<br />assessments and predictions. Once a new soil management practice is introduced and SMB is<br />allowed sufficient time (comparable to the SMB turnover rates) to approach the new<br />equilibrium determined by peculiarities of this practice, the quantitative prediction of the<br />future SOM level becomes predictable from the new microbial parameters and the established<br />correlational relationship (assuming that given enough time SOM will tend to fit the same<br />correlational relationship that was observable in the long-term field experiments). These<br />predictions may be beneficial in such important fields as protection and enhancement of soil<br />quality and biodiversity, carbon sequestration, development/assessment of sustainable soil<br />management practices, and others. The implementation of the possibility will provide farmers<br />with better opportunities for investing in soil quality/biodiversity and will contribute to solving<br />problems related to climate change and others.</p></dc:description> <dc:identifier>10.15414/2021.9788055224015</dc:identifier> <dc:source>Agrobiodiversity for improving the nutrition, health (Ediția 5) 38-38</dc:source> <dc:subject>soil microbial biomass</dc:subject> <dc:subject>soil organic matter</dc:subject> <dc:subject>soil biodiversity</dc:subject> <dc:subject>soil quality prediction</dc:subject> <dc:title>Microbiological tools for effective assessment and prediction of the impact of soil management on soil organic matter</dc:title> <dc:type>info:eu-repo/semantics/article</dc:type> </oai_dc:dc>