The footprint of organic farms. Some ecological indicators to evaluate it Department of Food crops – State University of Milan

Agro-ecological indicators are a tool which provides an agile evaluation of the ecological footprint of a farm. This paper analyses the preliminary results of a survey in which 7 agro-ecological indicators were calculated for 81 organic farms in the region of Lombardy in the northern part of Italy. The indicators chosen (all indicators of State) are: hedges and rows, energy input, energy output, energy output/input ratio, N balance, P2O5 balance, works unit per hectare. The preliminary results suggest that these indicators allow to discriminate between different farms on the basis of the productive orientation (cropping classes). In perspective, the use of indicators may enable farmers to improve the management of their farm, evaluating the ecological footprint in order to reduce it gradually

Nitrogen fertilizer value of animal slurries with different proportions of liquid and solid fractions: A 3-year study under field conditions

AbstractThe plant availability of manure nitrogen (N) is influenced by manure composition in the year of application whereas some studies indicate that the legacy effect in following years is independent of the composition. The plant availability of N in pig and cattle slurries with variable contents of particulate matter was determined in a 3-year field study. We separated cattle and a pig slurry into liquid and solid fractions by centrifugation. Slurry mixtures with varying proportions of solid and liquid fraction were applied to a loamy sand soil at similar NH4+-N rates in the first year. Yields and N offtake of spring barley and undersown perennial ryegrass were compared to plots receiving mineral N fertilizer. The first year N fertilizer replacement value (NFRV) of total N in slurry mixtures decreased with increasing proportion of solid fraction. The second and third season NFRV averaged 6.5% and 3.8% of total N, respectively, for cattle slurries, and 18% and 7.5% for pig slurries and was not related to the proportion of solid fraction. The estimated net N mineralization of residual organic N increased nearly linearly with growing degree days (GDD) with a rate of 0.0058%/GDD for cattle and 0.0116%/GDD for pig slurries at 2000–5000 GDD after application. In conclusion NFRV of slurry decreased with increasing proportion of solid fraction in the first year. In the second year, NFRV of pig slurry N was significantly higher than that of cattle slurry N and unaffected by proportion between solid and liquid fraction

Nitrogen fertiliser value of digested dairy cow slurry, its liquid and solid fractions, and of dairy cow slurry

An understanding of crop availability of livestock slurry nitrogen (N) is necessary to maximise crop N use efficiency and to minimise environmental losses. Results from field and laboratory incubation experiments suggest that first-year crop availability of slurry N comes mainly from its ammonium fraction because net mineralisation of organic N is often negligible in the short term. A two-year field experiment during 2011 and 2012 in northern Italy was undertaken with several aims: to estimate the N fertiliser value of raw dairy cow slurry, digested dairy cow slurry, and the liquid and solid fractions of the digested slurry, and to verify if applied ammonium recovery was similar both among slurries and between slurries and inorganic N fertiliser (ammonium sulphate). Different fertilisers were applied before silage maize cultivation followed by an unfertilised Italian ryegrass crop. The results showed that ammonium recovery was significantly higher in mineral-fertilised (75%) versus slurry-fertilised (30%) treatments, except in digested slurry (65%). This indicates that ammonium applied with organic materials is less efficient than when applied with mineral fertiliser. For the digested slurry and its liquid fraction, most of the applied ammonium was available to the maize during its application year (55%) due to a low carbon (C)/organic N ratio. The apparent N recovery of the raw slurry and digested slurry solid fraction increased substantially between the first (-1.4%) and second (20%) years, as these materials had high C/organic N ratios; they likely immobilised N for several months post application, producing residual effects during the Italian ryegrass and next maize crops

A Simulation Software for the Analysis of Cropping Systems in Livestock Farms

n/

Long-term effects of best management practices on crop yield and nitrogen surplus

Inherent in the concept of good agricultural practice (BMP) is that it improves resource use efficiency, mitigates environmental impact or increases farm profitability. However, it is usually impossible to achieve all the objectives, and trade-offs need to be accepted, such as a reduction in productivity together with a reduction in costs or an increase of soil organic matter. A European FP7 project, Catch-C (http://www.catch-c.eu) analyses the effects that different management practices have on productivity, mitigation of climate change and chemical, physical and biological soil fertility, based on simple indicators. Such indicators were collected from international literature, national scientific or technical journals, or grey literature that dealt with long-term field trials in Europe. We collected and analysed data from more than 350 experiments. This paper presents the overall results of the effects of a series of BMP have on crop productivity, soil nitrogen (N) uptake, N use efficiency end N balance. Important interactions with soil and climate types, crop and duration of the experiment were noticed for most BMPs. Rotations, also including double cropping, were among practices with more positive effects of productivity and N indicators. A slight reduction of yield counteracted benefits to soil quality and to climate change mitigation of minimum and no tillage, and of organic fertilisers

Rapid molecular assay for the evaluation of clove essential oil antifungal activity against wheat common bunt

Common bunt of durum wheat (DW), Triticum turgidum L. ssp. durum (Desf.) Husn., is caused by the two closely related fungal species belonging to Tilletia genus (Tilletiales, Exobasidiomycetes, Ustilaginomycotina): Tilletia laevis Kühn (syn. T. foetida (Wallr.) Liro.) and T. caries (DC) Tul. (syn. T. tritici (Bjerk.) G. Winter). This is one of the most devastating diseases in wheat growing areas worldwide, causing considerable yield loss and reduction of wheat grains and flour quality. For these reasons, a fast, specific, sensitive, and cost-effective method for an early diagnosis of common bunt in wheat seedlings is urgent. Several molecular and serological methods were developed for diagnosis of common bunt in wheat seedlings but at late phenological stages (inflorescence) or based on conventional PCR amplification, with low sensitivity. In this study, a TaqMan Real Time PCR-based assay was developed for rapid diagnosis and quantification of T. laevis in young wheat seedlings, before tillering stage. This method, along with phenotypic analysis, was used to study conditions favoring pathogen infection and to evaluate the effectiveness of clove oil-based seed dressing in controlling the disease. The overall results showed that: i) the Real Time PCR assay was able to quantify T. laevis in young wheat seedlings after seed dressing by clove oil in different formulations, greatly reducing times of analysis. It showed high sensitivity, detecting up to 10 fg of pathogen DNA, specificity and robustness, allowing to directly analyze crude plant extracts and representing a useful tool to speed up the tests of genetic breeding for disease resistance; ii) temperature was a critical point for disease development when using wheat seeds contaminated by T. laevis spores; iii) at least one of the clove oil-based formulations tested was able to efficiently control wheat common bunt, suggesting that clove oil dressing could represent a promising tool for managing the disease, especially in sustainable farming

Ensemble modelling, uncertainty and robust predictions of organic carbon in long-term bare-fallow soils

ACKNOWLEDGEMENTS This study was supported by the project “C and N models inter-comparison and improvement to assess management options for GHG mitigation in agro-systems worldwide” (CN-MIP, 2014- 2017), which received funding by a multi-partner call on agricultural greenhouse gas research of the Joint Programming Initiative ‘FACCE’ through national financing bodies. S. Recous, R. Farina, L. Brilli, G. Bellocchi and L. Bechini received mobility funding by way of the French Italian GALILEO programme (CLIMSOC project). The authors acknowledge particularly the data holders for the Long Term Bare-Fallows, who made their data available and provided additional information on the sites: V. Romanenkov, B.T. Christensen, T. Kätterer, S. Houot, F. van Oort, A. Mc Donald, as well as P. Barré. The input of B. Guenet and C. Chenu contributes to the ANR “Investissements d’avenir” programme with the reference CLAND ANR-16-CONV-0003. The input of P. Smith and C. Chenu contributes to the CIRCASA project, which received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no 774378 and the projects: DEVIL (NE/M021327/1) and Soils‐R‐GRREAT (NE/P019455/1). The input of B. Grant and W. Smith was funded by Science and Technology Branch, Agriculture and Agri-Food Canada, under the scope of project J-001793. The input of A. Taghizadeh-Toosi was funded by Ministry of Environment and Food of Denmark as part of the SINKS2 project. The input of M. Abdalla contributes to the SUPER-G project, which received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no 774124.Peer reviewedPostprin

Utilizzo di un GIS e di un modello di simulazione per la previsione a scala territoriale dell'eventuale inquinamento delle acque generato dalla distribuzione di reflui zootecnici

Dottorato di ricerca in ecologia agraria. 11. ciclo. Coordinatore G. SucciConsiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome; Biblioteca Nazionale Centrale - P.za Cavalleggeri, 1, Florence / CNR - Consiglio Nazionale delle RichercheSIGLEITItal

Energy, Nutrient and Economic Cross Indicators of Cropping Systems in Northern Italy

Agro-ecological indicators are useful tools to provide synthetic representations of agricultural systems. Simple indicators can be combined to calculate cross indicators, for example efficiencies, calculated as a ratio between two simple indicators. In sustainability studies, efficiency is frequently calculated in energy terms (energy output / energy input); however, other “output” and “input” terms can be used. In this study, we evaluated how the ranking of systems changes when different metrics of agricultural production (economic gross margin vs. energy output) and resource use (nutrients inputs and surpluses, fossil energy inputs, economic costs) are used. The calculations were carried out for a study area in northern Italy (Sud Milano Agricultural Park), characterised by intensively cultivated arable cropping systems (cereals and forage crops). Crop types were ranked differently when metrics changed. In general, maize (a highly productive crop) had good performances when evaluated using the output / input energy ratio, while rice was good when we used the ratios based on gross margin. When energy or monetary outputs were divided by N surplus, all crop types had very similar median values, suggesting a common energetic and economic efficiency of N use. Overall, different cross indicators may provide a different representation of the system studied. This means that it is not possible to provide a unique synthetic evaluation of sustainability, which instead depends on the indicator(s) chosen.We conclude that it is very important to clarify the objective of sustainability studies and to select accordingly the most adequate indicators

Calculating the soil surface nitrogen balance at regional scale : example application and critical evaluation of tools and data

Agro-ecological indicators (AEIs) allow evaluating sustainability for a large number of farms. The SITPAS Information System developed for the agricultural park "Parco Agricolo Sud Milano" (northern Italy) contains detailed farming and cropping systems information for 731 farms that can be used for these analyses. We used the SITPAS database to evaluate N management with an AEI and to evaluate the suitability of the SITPAS data model for this type of applications. The AEI (soil surface N balance) was calculated for each crop at field scale, as the difference between the sum of N inputs (atmospheric depositions, biological fixation, fertilisers, residues from previous crop) and crop N uptake; the results were aggregated at rotation and farm levels. The farming systems with the highest surplus (> 300 kg N ha-1) are dairy, cattle and pig farms, in which chemical N fertilisers are used in addition to animal manures. The crops with the highest surplus are Italian ryegrass and maize (183 and 172 kg N ha-1, respectively), while rice and wheat have the lowest surplus (87 and 85 kg N ha-1). The data model allowed to store and analyse complex information not manageable otherwise; its main limitation was the excessive flexibility, requiring a complicated procedure for the calculations of this example, and the exclusion of most data at the farming systems level (corresponding to 82% of the studied area) for missing, incomplete, out-of-range or inconsistent data. These results suggest to promote actions towards better N management in cropping systems in the Park and to develop simple data models based on minimum data requirements when sustainability evaluations are to be conducted