Giuseppe Todde

Dairy Energy Prediction (DEP) model

A population of 285 dairy cow farms located in the south of Italy was involved.Linear regression models for predicting diesel and electricity use were developed.A tool (DEP) was developed to predict direct energy related emission and costs.DEP tool is available online at this link: http://bit.ly/DEPTOOL. The need of reducing energy consumption in agriculture through more efficient working methods came first into focus in the 1970s as a consequence of oil crisis and the sharp increase of the energy price. Today, besides the economic issues, other aspects connected to a large use of fossil energies are becoming prominent: the depletion of nonrenewable resources and the pollution of the environment. The consumption of direct energy, as fuels and electricity, in dairy farming is a source of greenhouse gas emissions and contributes significantly to increasing the carbon footprint of milk.The objectives of this study were: (a) to build linear models to estimate the consumption of diesel fuel and electricity in dairy farms; (b) to develop a calculation tool in order to assess efficiency indicators associated to energy consumption, emissions of carbon dioxide and energy costs in dairy farms.Data used in the model development were collected from 285 dairy farms located in southern Italy. Two linear regression models were developed using total fuel (TF, kgyear1) and electricity consumption (TE, kWhyear1) as responses and total number of heads, total number of lactating cows, milk produced, and cultivated land as primary independent variables. Models parameters were then implemented in a spread sheet to develop the Dairy Energy Prediction (DEP) tool. Entering some basic information about dairy farms characteristics, DEP is able to predict diesel fuel and electricity consumptions, to list several Energy Utilization Indices (EUIs), to estimate carbon dioxide emissions from energy uses (kg CO2-eq), to evaluate the costs of energy purchase. DEP may be used by farmers, to evaluate the energy performances of their farms, and by researchers and stakeholders to compare the impact of different energy scenarios (i.e. LCA studies, economic evaluation, environmental assessment, etc.). DEP tool is available online at this link: http://bit.ly/DEPTOOL.

Development and test of a portable device to monitor the health status of Sarda breed sheep by the measurement of the milk electrical conductivity

Abstract The electrical conductivity (EC) of milk is a parameter which is often used for identifying sub-clinical mastitis in dairy animals. It is widely used for cattle, and is measured either by means of probes integrated into the milking machine or by means of portable devices. However this is not the case for small ruminants, where the available devices are few. The aim of this study is to deepen the knowledge of about the relationship between EC and certain constituents of Sarda sheep milk, and thus to develop a portable device specifically designed for on-site measurement of conductivity and to estimate the somatic cell count (SCC) of Sarda sheep milk. Therefore, the device allows a rapid test for checking the acceptability of milk to monitor the effects of udder infection. The receiver operating characteristic (ROC) method was used to evaluate how efficacious EC was in discriminating between animals with a somatic cell level higher or lower of a threshold value previously defined. The cut-off values, sensitivity, specificity and the area under the ROC curve for EC were, respectively, 4.835 mS/cm, 73.08, 75.46 and 0.804, using a threshold of 700 000 cells/ml. Our results gave a positive evaluation of the portable device that we had designed for estimating the SCC in sheep milk. Only 8.8% of the samples were incorrectly identified as negative. A portable device for EC measurement is a useful tool for monitoring the somatic cell level individually, and allows early and efficacious action to contrast new intramammary infections.

Climate change adaptation and water saving by innovative irrigation management applied on open field globe artichoke

The setting up of innovative irrigation water management might contribute to the mitigation of negative issues related to climate change. Our hypothesis was that globe artichoke irrigated with a traditionally drip system could be converted to an innovative water management system based on precision irrigation techniques and on evaporative cooling application in order to improve crop physiological status with positive impacts on earliness, total heads yield and water saving. Over two experiments carried out at plot- and field-scale, two irrigation management systems, differing in type and application time, were compared: (i) conventional, and (ii) canopy-cooling. Plant physiological status at a weekly sampling interval and the head atrophy incidence (as the ratio of the total primary heads collected) were monitored. We also recorded and determined heads production, and yield components. In both experiments, throughout the application period of evaporative cooling (three months), canopy-cooling showed the lowest value of leaf temperature and the highest photosynthesis values compared with the conventional one (+3 °C and -30%, respectively). The physiological advantage gained by the crop with evaporative cooling has led to a higher production both in terms of total yield (+30%), and in terms of harvested first order heads that from an economic viewpoint are the most profitable for farmers. At farm-scale, the canopy-cooling treatment resulted in a higher earliness (35 days) and water productivity (+36%) compared with conventional one. Our findings show that by combining evaporative cooling practice with precision irrigation technique the heads yield can be optimized also leading to a relevant water saving (-34%). Moreover, the study proved that canopy-cooling set up might be a winning strategy in order to mitigate climatic changes and heat stress conditions.

Energy and environmental performances of hybrid photovoltaic irrigation systems in Mediterranean intensive and super-intensive olive orchards

Over the last decades, traditional olive production has been converted to intensive and super-intensive cultivation systems, characterized by high plant density and irrigation. Although this conversion improves product quality and quantity, it requires a larger amount of energy input. The new contributions in this paper are, first, an analysis of the energy and environmental performance of two commercial-scale high peak-power hybrid photovoltaic irrigation systems (HPVIS) installed at intensive and super-intensive Mediterranean olive orchards; second, an analysis of PV hybrid solutions, comparing PV hybridization with the electric power grid and with diesel generators; and finally, a comparison of the environmental benefits of HPVIS with conventional power sources. Energy and environmental performances were assessed through energy and carbon payback times (EPBT and CPBT). The results show EPBT of 1.98 and 4.58 years and CPBT of 1.86 and 9.16 years for HPVIS in Morocco and Portugal, respectively. Moreover, the HPVIS were able to achieve low emission rates, corresponding to 48 and 103 g CO2e per kWh generated. The EPBT and CPBT obtained in this study were directly linked with the irrigation schedules of the olive orchards; therefore, weather conditions and irrigation management may modify the energy and environmental performances of HPVIS. The consumption of grid electricity and diesel fuel, before and after the implementation of HPVIS, was also analyzed. The results obtained show fossil energy savings of 67% for the Moroccan farm and 41% for the Portuguese installation. These savings suggest that the energy produced by HPVIS in olive orchards will avoid the emissions of a large amount of greenhouse gas and the exploitation of natural resources associated with fossil fuel production.