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Tommaso Tadiello
Department of Agricultural and Environmental Sciences, University of Milan, via Celoria 2, 20133 Milano, Italy

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Short Biography

Tommaso Tadiello is a PhD student in Agriculture and Environmental Science at the University of Milan. His research activity deals with soil organic carbon modelling in the cropping systems of conventional and conservation agriculture. His expertise include the advanced use of the R statistical package.

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Journal article
Published: 19 July 2021 in Sustainability
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Proximal sensing represents a growing avenue for precision fertilization and crop growth monitoring. In the last decade, precision agriculture technology has become affordable in many countries; Global Positioning Systems for automatic guidance instruments and proximal sensors can be used to guide the distribution of nutrients such as nitrogen (N) fertilization using real-time applications. A two-year field experiment (2017–2018) was carried out to quantify maize yield in response to variable rate (VR) N distribution, which was determined with a proximal vigour sensor, as an alternative to a fixed rate (FR) in a cereal-livestock farm located in the Po valley (northern Italy). The amount of N distributed for the FR (140 kg N ha−1) was calculated according to the crop requirement and the regional regulation: ±30% of the FR rate was applied in the VR treatment according to the Vigour S-index calculated on-the-go from the CropSpec sensor. The two treatments of N fertilization did not result in a significant difference in yield in both years. The findings suggest that the application of VR is more economically profitable than the FR application rate, especially under the hypothesis of VR application at a farm scale. The outcome of the experiment suggests that VR is a viable and profitable technique that can be easily applied at the farm level by adopting proximal sensors to detect the actual crop N requirement prior to stem elongation. Besides the economic benefits, the VR approach can be regarded as a sustainable practice that meets the current European Common Agricultural Policy.

ACS Style

Calogero Schillaci; Tommaso Tadiello; Marco Acutis; Alessia Perego. Reducing Topdressing N Fertilization with Variable Rates Does Not Reduce Maize Yield. Sustainability 2021, 13, 8059 .

AMA Style

Calogero Schillaci, Tommaso Tadiello, Marco Acutis, Alessia Perego. Reducing Topdressing N Fertilization with Variable Rates Does Not Reduce Maize Yield. Sustainability. 2021; 13 (14):8059.

Chicago/Turabian Style

Calogero Schillaci; Tommaso Tadiello; Marco Acutis; Alessia Perego. 2021. "Reducing Topdressing N Fertilization with Variable Rates Does Not Reduce Maize Yield." Sustainability 13, no. 14: 8059.

Review
Published: 04 March 2021
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Mediterranean and humid subtropical climate is characterized by hot summer and cold to mild winter with a medium-low soil organic carbon (SOC) content and high risk of land desertification. Recent EU policies pointed out the need to preserve the SOC stock and to enhance its accumulation by promoting the adoption of conservation agriculture (CA) as an efficient action for climate change adaptation and mitigation. The meta-analysis is a powerful data analysis tool, which can be useful to evaluate the effectiveness of CA in increase SOC in comparison with conventional agriculture. In fact, this topic has been addressed by several published articles even though the methodology shortcomings make sometimes difficult to draw reliable conclusions about the contribution of CA. In our work, we applied a robust methodology to comply with the meta-analytic assumptions, such as an independence of effect sizes and weighting, as well as the requirement to use no predictive functions like pedotransfer. Therefore, the present meta-analysis defines a conservative and replicable approach to deal with soil carbon data, explaining the differences between conventional (control) and CA management (treatment) in terms of SOC stock accumulation in the first 0-0.3 m layer. A defined methodology was developed to summarize carbon data within a unique soil layer taking into account the real variance and correlation between different initial soil carbon layers. A final database of 49 studies has been used to summarize the effect and to explain the heterogeneity across studies, including also several pedoclimatic moderators in the analysis. An overall positive effect of about 13 % change in SOC accumulation was found due to CA practices compared to control. To better explain the data variability, we created two different groups of studies ("low carbon in control, LC" and "high carbon in control", HC) base on the amount of SOC in control (with 40 Mg ha-1 as a threshold). This method leads to more reliable conclusions that it is more likely to find a response to CA management in soil with low carbon content rather than in soil that have more than 40 t C stock ha-1 . A positive correlation was also found between clay soils with high carbon content in control and carbon sequestration event though the texture classification did not explain data variability. Agronomic management plays an essential role in inducing C accumulation under CA in both LC and HC groups, especially with high residue retention during long-term experiments (0.21 Mg C ha-1 yr-1 for the whole database). We also found that climatic and geographical moderators can explain the variability among the effect sizes, like the absolute value of latitude or the precipitation during the year, even though the different continent or climate Köppen classification did not give significant results.

ACS Style

Tommaso Tadiello; Marco Acutis; Alessia Perego; Calogero Schillaci; Elena Valkama. Can Conservation Agriculture Enhance Soil Organic Carbon Sequestration In Mediterranean And Humid Subtropical Climates? A Meta-Analysis. 2021, 1 .

AMA Style

Tommaso Tadiello, Marco Acutis, Alessia Perego, Calogero Schillaci, Elena Valkama. Can Conservation Agriculture Enhance Soil Organic Carbon Sequestration In Mediterranean And Humid Subtropical Climates? A Meta-Analysis. . 2021; ():1.

Chicago/Turabian Style

Tommaso Tadiello; Marco Acutis; Alessia Perego; Calogero Schillaci; Elena Valkama. 2021. "Can Conservation Agriculture Enhance Soil Organic Carbon Sequestration In Mediterranean And Humid Subtropical Climates? A Meta-Analysis." , no. : 1.

Preprint content
Published: 23 March 2020
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Conservation agriculture (CA) is characterized by minimal soil disturbance, permanent soil cover, and diversification of crop species, as stated by FAO in 2017. Many CA experiments, however, have been carried out so far, by taking into account only one or two of the three principles. Therefore, the meta-analyses recently published may fail in giving correct results about the CA effectiveness on agroecosystem variables, mostly on soil organic carbon (SOC) content or stock.

In preparation of conducting a meta-analysis, the present study was carried out to collect published results about the effect of the concurrent adoption of the three CA principles on SOC under Mediterranean climate with a systematic literature search in Scopus and Web of Science. Initially, a single nested query has been applied to both the database, using the Boolean operators, in order to include all the international literature about CA experiments and SOC variable without climate filter at this step. The resulting raw files were downloaded and merged in a unique dataframe using R software with "Bibliometrix" package1, which is an open-source tool developed for bibliometric analysis. The use of merged dataframe has mainly two advantages: it allows an easy duplicate removal (847 records in our case) and a more detailed information research both automatic and manual. Bibliometrix indeed provides tools for bibliometric analysis and data matrices building for co-citation, coupling, and co-word analysis highlighting, for example, that in the European continent both Italy and Spain are the most productive countries on these topics.
With these possibilities, as a further step, a new sub dataframe has been extracted by using the Köppen classification for Mediterranean climate (sub-climates, Csa/Csb/Csc), allowing a reduction of 32% of the records.

1) Aria, M., Cuccurullo, C., 2017. Bibliometrix: An R-tool for comprehensive science mapping analysis, Journal of Informetrics, 11(4).

 

ACS Style

Tommaso Tadiello; Marco Acutis. Effect of conservation agriculture on soil organic carbon sequestration in Mediterranean region. A systematic map. 2020, 1 .

AMA Style

Tommaso Tadiello, Marco Acutis. Effect of conservation agriculture on soil organic carbon sequestration in Mediterranean region. A systematic map. . 2020; ():1.

Chicago/Turabian Style

Tommaso Tadiello; Marco Acutis. 2020. "Effect of conservation agriculture on soil organic carbon sequestration in Mediterranean region. A systematic map." , no. : 1.