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Featured researches published by Natalia Rogovska.


Gcb Bioenergy | 2016

A model for mechanistic and system assessments of biochar effects on soils and crops and trade‐offs

Sotirios V. Archontoulis; Isaiah Huber; Fernando E. Miguez; Peter J. Thorburn; Natalia Rogovska; David A. Laird

We developed a biochar model within the Agricultural Production Systems sIMulator (APSIM) software that integrates biochar knowledge and enables simulation of biochar effects within cropping systems. The model has algorithms that mechanistically connect biochar to soil organic carbon (SOC), soil water, bulk density (BD), pH, cation exchange capacity, and organic and mineral nitrogen. Soil moisture (SW)–temperature–nitrogen limitations on the rate of biochar decomposition were included as well as biochar‐induced priming effect on SOC mineralization. The model has 10 parameters that capture the diversity of biochar types, 15 parameters that address biochar‐soil interactions and 4 constants. The range of values and their sensitivity is reported. The biochar model was connected to APSIMs maize and wheat crop models to investigate long‐term (30 years) biochar effects on US maize and Australia wheat in various soils. Results from this sensitivity analysis showed that the effect of biochar was the largest in a sandy soil (Australian wheat) and the smallest in clay loam soil (US maize). On average across cropping systems and soils the order of sensitivity and the magnitude of the response of biochar to various soil‐plant processes was (from high to low): SOC (11% to 86%) > N2O emissions (−10% to 43%43%) > plant available water content (0.6% to 12.9%) > BD (−6.5% to −1.7%) > pH (−0.8% to 6.3%) > net N mineralization (−19% to 10%) > CO2 emissions (−2.0% to 4.3%) > water filled pore space (−3.7% to 3.4%) > grain yield (−3.3% to 1.8%) > biomass (−1.6% to 1.4%). Our analysis showed that biochar has a larger impact on environmental outcomes rather than agricultural production. The mechanistic model has the potential to optimize biochar application strategies to enhance environmental and agronomic outcomes but more work is needed to fill knowledge gaps identified in this work.


Plant and Soil | 2017

Biochar effect on severity of soybean root disease caused by Fusarium virguliforme

Natalia Rogovska; David A. Laird; Leonor F.S. Leandro; Deborah Aller

Background and aimsBiochar is known to decrease soil bulk density, increase nutrient and water retention, and to suppress certain soil-borne pathogens. The aims of our glasshouse and field experiments were to; 1) determine whether biochar amendments impact the severity of soybean root rot caused by Fusarium virguliforme; 2) to determine if biochar reduces severity of root rot by changes in physicochemical properties of soil; 3) whether biochar induces systemic resistance to root rot in soybean plants.ResultsResults of the first glasshouse pot study indicate that biochars differ significantly in their effect on root rot caused by F. virguliforme, as two of eight biochars significantly suppressed root rot severity. Results for the second glasshouse pot study indicate that disease suppression was not related to changes in soil physicochemical properties (bulk density, soil moisture, soil pH). A third split-root experiment provided no evidence that biochar amendments are capable of inducing systemic resistance in soybean plants. Results of the small plot experiment proved that biochar was effective at reducing visual above ground symptoms of SDS, but did not affect soybean grain yields.ConclusionsBoth systemic and indirect effects of biochar on SDS root rot severity have been eliminated in the present study; further research is needed to determine whether suppression of root rot severity is related to changes in soil microbial communities induced by biochar.


Soil Science Society of America Journal | 2011

Impact of Biochar on Manure Carbon Stabilization and Greenhouse Gas Emissions

Natalia Rogovska; David A. Laird; Richard M. Cruse; Pierce Fleming; Timothy B. Parkin; David W. Meek


Geoderma | 2014

Biochar impact on Midwestern Mollisols and maize nutrient availability

Natalia Rogovska; David A. Laird; Samuel J. Rathke; Douglas L. Karlen


Soil Science Society of America Journal | 2007

Relationships between Soybean Yield, Soil pH, and Soil Carbonate Concentration

Natalia Rogovska; Alfred M. Blackmer; Antonio P. Mallarino


Archive | 2011

Climate Change Impacts on Iowa, 2010

Peter B. Berendzen; Richard M. Cruse; Laura L. Jackson; Robert Mulqueen; Cornelia F. Mutel; David Osterberg; Natalia Rogovska; Jerald L. Schnoor; Dave Swenson; Eugene S. Takle; Peter S. Thorne


Precision Agriculture | 2009

Remote sensing of soybean canopy as a tool to map high pH, calcareous soils at field scale

Natalia Rogovska; Alfred M. Blackmer


Precision Agriculture | 2018

Development of field mobile soil nitrate sensor technology to facilitate precision fertilizer management

Natalia Rogovska; David A. Laird; Chien-Ping Chiou; Leonard J. Bond


Studies in Agricultural Economics | 2014

Soil and crop management and biomass removal effects on soil organic matter content in Hungary

Krisztina Eleki; Richard M. Cruse; Natalia Rogovska; László Fodor; Lajos Szabó; Sandor Holló


Archive | 2006

Use of precision agriculture technologies in studying the relationships among soil pH, calcium carbonate equivalent, soybean cyst nematode population density, and soybean yield

Natalia Rogovska

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David W. Meek

Agricultural Research Service

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Douglas L. Karlen

Agricultural Research Service

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