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Prof. Marcello Ermido Chiodini
University of Milan, Department of Agricultural and Environmental Sciences

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0 Fertiliser
0 Soil
0 Conservation agriculture
0 Nitrate Leaching

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Journal article
Published: 24 February 2021 in Agronomy
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Introducing smart and sustainable tools for climate change adaptation and mitigation is a major need to support agriculture’s productivity potential. We assessed the effects of the processed gypsum seed dressing SOP® COCUS MAIZE+ (SCM), combined with a gradient of N fertilization rates (i.e., 0%, 70% equal to 160 kg N ha−1, and 100% equal to 230 kg N ha−1) in maize (Zea mays L.), on: (i) grain yield, (ii) root length density (RLD) and diameter class length (DCL), (iii) biodiversity of soil bacteria and fungi, and (iv) Greenhouse Gases (GHGs, i.e., N2O, CO2, and CH4) emission. Grain yield increased with SCM by 1 Mg ha−1 (+8%). The same occurred for overall RLD (+12%) and DCL of very fine, fine, and medium root classes. At anthesis, soil microbial biodiversity was not affected by treatments, suggesting earlier plant-rhizosphere interactions. Soil GHGs showed that (i) the main driver of N losses as N2O is the N-fertilization level, and (ii) decreasing N-fertilization in maize from 100% to 70% decreased N2O emissions by 509 mg N-N2O m−2 y−1. Since maize grain yield under SCM with 70% N-fertilization was similar to that under Control with 100% N-fertilization, we concluded that under our experimental conditions SCM may be used for reducing N input (−30%) and N2O emissions (−23%), while contemporarily maintaining maize yield. Hence, SCM can be considered an available tool to improve agriculture’s alignment to the United Nation Sustainable Development Goals (UN SDGs) and to comply with Europe’s Farm to Fork strategy for reducing N-fertilizer inputs.

ACS Style

Stefania Maris; Federico Capra; Federico Ardenti; Marcello Chiodini; Roberta Boselli; Eren Taskin; Edoardo Puglisi; Chiara Bertora; Lorenzo Poggianella; Stefano Amaducci; Vincenzo Tabaglio; Andrea Fiorini. Reducing N Fertilization without Yield Penalties in Maize with a Commercially Available Seed Dressing. Agronomy 2021, 11, 407 .

AMA Style

Stefania Maris, Federico Capra, Federico Ardenti, Marcello Chiodini, Roberta Boselli, Eren Taskin, Edoardo Puglisi, Chiara Bertora, Lorenzo Poggianella, Stefano Amaducci, Vincenzo Tabaglio, Andrea Fiorini. Reducing N Fertilization without Yield Penalties in Maize with a Commercially Available Seed Dressing. Agronomy. 2021; 11 (3):407.

Chicago/Turabian Style

Stefania Maris; Federico Capra; Federico Ardenti; Marcello Chiodini; Roberta Boselli; Eren Taskin; Edoardo Puglisi; Chiara Bertora; Lorenzo Poggianella; Stefano Amaducci; Vincenzo Tabaglio; Andrea Fiorini. 2021. "Reducing N Fertilization without Yield Penalties in Maize with a Commercially Available Seed Dressing." Agronomy 11, no. 3: 407.

Journal article
Published: 08 December 2020 in Sustainability
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Feed additives have received increasing attention as a viable means to reduce enteric emissions from ruminants, which contribute to total anthropogenic methane (CH4) emissions. The aim of this study was to investigate the efficacy of the commercial feed additive SOP STAR COW (SOP) to reduce enteric emissions from dairy cows and to assess potential impacts on milk production. Twenty cows were blocked by parity and days in milk and randomly assigned to one of two treatment groups (n = 10): supplemented with 8 g/day SOP STAR COW, and an unsupplemented control group. Enteric emissions were measured in individual head chambers over a 12-hour period, every 14 days for six weeks. SOP-treated cows over time showed a reduction in CH4 of 20.4% from day 14 to day 42 (P = 0.014), while protein % of the milk was increased (+4.9% from day 0 to day 14 (P = 0.036) and +6.5% from day 0 to day 42 (P = 0.002)). However, kg of milk protein remained similar within the SOP-treated cows over the trial period. The control and SOP-treated cows showed similar results for kg of milk fat and kg of milk protein produced per day. No differences in enteric emissions or milk parameters were detected between the control and SOP-treated cows on respective test days.

ACS Style

Elizabeth Ross; Carlyn Peterson; Angelica Carrazco; Samantha Werth; Yongjing Zhao; Yuee Pan; Edward DePeters; James Fadel; Marcello Chiodini; Lorenzo Poggianella; Frank Mitloehner. Effect of SOP “STAR COW” on Enteric Gaseous Emissions and Dairy Cattle Performance. Sustainability 2020, 12, 10250 .

AMA Style

Elizabeth Ross, Carlyn Peterson, Angelica Carrazco, Samantha Werth, Yongjing Zhao, Yuee Pan, Edward DePeters, James Fadel, Marcello Chiodini, Lorenzo Poggianella, Frank Mitloehner. Effect of SOP “STAR COW” on Enteric Gaseous Emissions and Dairy Cattle Performance. Sustainability. 2020; 12 (24):10250.

Chicago/Turabian Style

Elizabeth Ross; Carlyn Peterson; Angelica Carrazco; Samantha Werth; Yongjing Zhao; Yuee Pan; Edward DePeters; James Fadel; Marcello Chiodini; Lorenzo Poggianella; Frank Mitloehner. 2020. "Effect of SOP “STAR COW” on Enteric Gaseous Emissions and Dairy Cattle Performance." Sustainability 12, no. 24: 10250.

Journal article
Published: 05 August 2019 in Agronomy
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The agricultural area in the Po Valley is prone to high nitrous oxide (N2O) emissions as it is characterized by irrigated maize-based cropping systems, high amounts of nitrogen supplied, and elevated air temperature in summer. Here, two monitoring campaigns were carried out in maize fertilized with raw digestate in a randomized block design in 2016 and 2017 to test the effectiveness of the 3, 4 DMPP inhibitor Vizura® on reducing N2O-N emissions. Digestate was injected into 0.15 m soil depth at side-dressing (2016) and before sowing (2017). Non-steady state chambers were used to collect N2O-N air samples under zero N fertilization (N0), digestate (D), and digestate + Vizura® (V). Overall, emissions were significantly higher in the D treatment than in the V treatment in both 2016 and 2017. The emission factor (EF, %) of V was two and four times lower than the EF in D in 2016 and 2017, respectively. Peaks of NO3-N generally resulted in N2O-N emissions peaks, especially during rainfall or irrigation events. The water-filled pore space (WFPS, %) did not differ between treatments and was generally below 60%, suggesting that N2O-N emissions were mainly due to nitrification rather than denitrification.

ACS Style

Marcello Ermido Chiodini; Alessia Perego; Marco Carozzi; Marco Acutis. The Nitrification Inhibitor Vizura® Reduces N2O Emissions When Added to Digestate before Injection under Irrigated Maize in the Po Valley (Northern Italy). Agronomy 2019, 9, 431 .

AMA Style

Marcello Ermido Chiodini, Alessia Perego, Marco Carozzi, Marco Acutis. The Nitrification Inhibitor Vizura® Reduces N2O Emissions When Added to Digestate before Injection under Irrigated Maize in the Po Valley (Northern Italy). Agronomy. 2019; 9 (8):431.

Chicago/Turabian Style

Marcello Ermido Chiodini; Alessia Perego; Marco Carozzi; Marco Acutis. 2019. "The Nitrification Inhibitor Vizura® Reduces N2O Emissions When Added to Digestate before Injection under Irrigated Maize in the Po Valley (Northern Italy)." Agronomy 9, no. 8: 431.

Journal article
Published: 01 November 2014 in Science of The Total Environment
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The expected climate change will affect the maize yields in view of air temperature increase and scarce water availability. The application of biophysical models offers the chance to design a drought-resistant ideotype and to assist plant breeders and agronomists in the assessment of its suitability in future scenarios. The aim of the present work was to perform a model-based estimation of the yields of two hybrids, current vs ideotype, under future climate scenarios (2030-2060 and 2070-2100) in Lombardy (northern Italy), testing two options of irrigation (small amount at fixed dates vs optimal water supply), nitrogen (N) fertilization (300 vs 400 kg N ha(-1)), and crop cycle durations (current vs extended). For the designing of the ideotype we set several parameters of the ARMOSA process-based crop model: the root elongation rate and maximum depth, stomatal resistance, four stage-specific crop coefficients for the actual transpiration estimation, and drought tolerance factor. The work findings indicated that the current hybrid ensures good production only with high irrigation amount (245-565 mm y(-1)). With respect to the current hybrid, the ideotype will require less irrigation water (-13%, p<0.01) and it resulted in significantly higher yield under water stress condition (+15%, p<0.01) and optimal water supply (+2%, p<0.05). The elongated cycle has a positive effect on yield under any combination of options. Moreover, higher yields projected for the ideotype implicate more crop residues to be incorporated into the soil, which are positively correlated with the SOC sequestration and negatively with N leaching. The crop N uptake is expected to be adequate in view of higher rate of soil mineralization; the N fertilization rate of 400 kg N ha(-1) will involve significant increasing of grain yield, and it is expected to involve a higher rate of SOC sequestration.

ACS Style

Alessia Perego; Mattia Sanna; Andrea Giussani; Marcello Ermido Chiodini; Mattia Fumagalli; Salvatore Roberto Pilu; Marco Bindi; Marco Moriondo; Marco Acutis. Designing a high-yielding maize ideotype for a changing climate in Lombardy plain (northern Italy). Science of The Total Environment 2014, 499, 497 -509.

AMA Style

Alessia Perego, Mattia Sanna, Andrea Giussani, Marcello Ermido Chiodini, Mattia Fumagalli, Salvatore Roberto Pilu, Marco Bindi, Marco Moriondo, Marco Acutis. Designing a high-yielding maize ideotype for a changing climate in Lombardy plain (northern Italy). Science of The Total Environment. 2014; 499 ():497-509.

Chicago/Turabian Style

Alessia Perego; Mattia Sanna; Andrea Giussani; Marcello Ermido Chiodini; Mattia Fumagalli; Salvatore Roberto Pilu; Marco Bindi; Marco Moriondo; Marco Acutis. 2014. "Designing a high-yielding maize ideotype for a changing climate in Lombardy plain (northern Italy)." Science of The Total Environment 499, no. : 497-509.

Journal article
Published: 01 November 2014 in Land Use Policy
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Intensive agriculture and livestock breeding represent critical factors in the Lombardy region since the nitrate vulnerable zones are 62% of utilised agricultural plain area. The aim of reducing the environmental risk caused by agriculture activities (e.g. nitrogen losses into groundwater and atmosphere) can be only achieved through a critical and scientific analysis of livestock manure management in a whole-farm perspective. Keeping in mind this objective, the decision support system (DSS) ValorE was developed. It can be described as a tool able to evaluate from the environmental, technical, agronomic and economic points of view the main components of manure management (production, storage, treatment and land application) for a variety of livestock types (i.e., cattle, swine, poultry, sheep, goats and horses), under different scenarios adopted at farm and territorial scale. ValorE consists of three main components: data management subsystem, model management subsystem and two versions of user-interface, both for farm and territorial scale. Most of the inputs to the DSS comes from external databases, while a software tool developed in the .NET environment and implemented using object oriented programming (C# language), provides the logic to manage the scenario simulation of agronomic and environmental farm-scale models. Users and stakeholders can carry out comparative analysis, starting from the knowledge of the current perspective, in terms of manure management system at farm or territorial scale by interrogating the available databases. Moreover, they can generate different alternative scenarios thanks to different options for the manure handling and cropping system simulation. Then they can finally evaluate and compare different scenarios through multidisciplinary and synthetic indicators but also visualise spatial effects exploiting the coupled webGIS. ValorE is therefore an attempt to offer a comprehensive tool for improving both farm strategy and decision making process, which is particularly important in a very intensive agricultural area, with one of the highest livestock density in the world, as Lombardy

ACS Style

Marco Acutis; Lodovico Alfieri; Andrea Giussani; Giorgio Provolo; Andrea Di Guardo; Stefania Colombini; Gianpaolo Bertoncini; Marco Castelnuovo; Guido Sali; Maurizio Moschini; Mattia Sanna; Alessia Perego; Marco Carozzi; Marcello Ermido Chiodini; Mattia Fumagalli. ValorE: An integrated and GIS-based decision support system for livestock manure management in the Lombardy region (northern Italy). Land Use Policy 2014, 41, 149 -162.

AMA Style

Marco Acutis, Lodovico Alfieri, Andrea Giussani, Giorgio Provolo, Andrea Di Guardo, Stefania Colombini, Gianpaolo Bertoncini, Marco Castelnuovo, Guido Sali, Maurizio Moschini, Mattia Sanna, Alessia Perego, Marco Carozzi, Marcello Ermido Chiodini, Mattia Fumagalli. ValorE: An integrated and GIS-based decision support system for livestock manure management in the Lombardy region (northern Italy). Land Use Policy. 2014; 41 ():149-162.

Chicago/Turabian Style

Marco Acutis; Lodovico Alfieri; Andrea Giussani; Giorgio Provolo; Andrea Di Guardo; Stefania Colombini; Gianpaolo Bertoncini; Marco Castelnuovo; Guido Sali; Maurizio Moschini; Mattia Sanna; Alessia Perego; Marco Carozzi; Marcello Ermido Chiodini; Mattia Fumagalli. 2014. "ValorE: An integrated and GIS-based decision support system for livestock manure management in the Lombardy region (northern Italy)." Land Use Policy 41, no. : 149-162.

Journal article
Published: 03 August 2009 in Field Crops Research
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Pre-samplings for sample size determination are strongly recommended to assure the reliability of collected data. However, there is a certain dearth of references about sample size determination in field experiments. Seldom if ever, differences in sample size were identified under different management conditions, plant traits, varieties grown and crop age. In order to analyze any differences in sample size for some of the variables measurable in rice field experiments, the visual jackknife method was applied to pre-samples collected in a paddy rice field in Northern Italy, where a management typical for European rice was conducted. Sample sizes for 14 variables describing plant features (plant density, spikelet sterility, biomass, carbon and nitrogen concentration for the different plant organs and for the whole plant) and for 12 variables describing physical and chemical soil features (texture, pH, water holding capacity, soil organic matter, total carbon and nitrogen concentration, mineral nitrogen concentration) and soil microbial activity were estimated. The elementary units of observation were a 3-plant sample and an aggregate sample of four 125 cm3 sub-samples respectively for plant- and soil-related variables. Sample sizes ranged between 15 and 27 for plant-related variables and between 5 and 6 for soil variables. Relating to plant features, remarkable differences in sample size were observed in carbon concentration values of different plant organs, probably due to maintenance respiration. Homogeneity among sample sizes for soil variables could be explained by the capability of aggregate samples in capturing a big part of the total variance. This study underlines importance of carrying out pre-samplings aiming at sample size determination for different variables describing the cropping system.JRC.G.3-Monitoring agricultural resource

ACS Style

Roberto Confalonieri; Alessia Perego; Marcello Ermido Chiodini; Barbara Scaglia; Alexandra Stella Rosenmund; Marco Acutis. Analysis of sample size for variables related to plant, soil, and soil microbial respiration in a paddy rice field. Field Crops Research 2009, 113, 125 -130.

AMA Style

Roberto Confalonieri, Alessia Perego, Marcello Ermido Chiodini, Barbara Scaglia, Alexandra Stella Rosenmund, Marco Acutis. Analysis of sample size for variables related to plant, soil, and soil microbial respiration in a paddy rice field. Field Crops Research. 2009; 113 (2):125-130.

Chicago/Turabian Style

Roberto Confalonieri; Alessia Perego; Marcello Ermido Chiodini; Barbara Scaglia; Alexandra Stella Rosenmund; Marco Acutis. 2009. "Analysis of sample size for variables related to plant, soil, and soil microbial respiration in a paddy rice field." Field Crops Research 113, no. 2: 125-130.