Herbicide and nutrient monitoring in surface waters and groundwater of a paddy district in northern Italy.

Italy is the leading rice producer in Europe and the second in the Mediterranean basin (after Egypt), with most of the production concentrated in a large paddy area between the Lombardy and Piedmont regions (northern Italy). In this area, irrigation of rice was traditionally carried out by wet seeding and continuous flooding; in the last fifteen years, this technique has been gradually replaced by dry seeding followed by a delayed flooding (DFL) or by an alternation of flooding and dry periods (FTI), which are economically more advantageous. This study presents the results of an extensive monitoring campaign designed and carried out in 2021 in a representative paddy district of the Lomellina area (Pavia, northern Italy) to assess the impact of the actual rice cropping strategies on surface water and groundwater quality, with particular attention to two widely used herbicides (MCPA and clomazone) and to nutrient losses (e.

A multidisciplinary approach to assess environmental and economic impact of conventional and innovative vineyards management systems in Northern Italy.

Viticulture is gradually shifting to more sustainable production systems and a fair number of studies aim at assessing the environmental impacts of different technologies and techniques adopted in the wine production through the Life Cycle Assessment approach. The main environmental issues identified are on water, soil and energy use, management of organic and inorganic solid waste streams, greenhouse gas emissions and use of chemicals. Precision viticulture (PV) techniques can play an important role in the sustainable use of water and fertilizers in grape production, thanks to the site-specific application of these inputs, improving yield and quality of grapes while minimizing negative effects on the environment.

Integrating Geophysical and Multispectral Data to Delineate Homogeneous Management Zones within a Vineyard in Northern Italy.

Soil electrical conductivity (EC) maps obtained through proximal soil sensing (i.e., geophysical data) are usually considered to delineate homogeneous site-specific management zones (SSMZ), used in Precision Agriculture to improve crop production.

Monitoring of water quality inflow and outflow of a farm in Italian Padana plain for rice cultivation: a case study of two years.

Rice cultivation requires a large use of pesticides and nutrients to control weed proliferation and improve production. The water quality of four neighboring rice fields located in the Lomellina area (Italian Padana plain) was monitored in this study along with the cultivation period (before, during, and after the period of planting), for two successive agricultural seasons (2015 and 2016). Two paddy fields were traditionally cultivated with wet-seeding and the other fields with dry-seeding.

An integrated, multisensor system for the continuous monitoring of water dynamics in rice fields under different irrigation regimes.

The cultivation of rice, one of the most important staple crops worldwide, has very high water requirements. A variety of irrigation practices are applied, whose pros and cons, both in terms of water productivity and of their effects on the environment, are not completely understood yet. The continuous monitoring of irrigation and rainfall inputs, as well as of soil water dynamics, is a very important factor in the analysis of these practices.

Spatial and statistical assessment of factors influencing nitrate contamination in groundwater.

The weights of evidence (WofE) modeling technique has been used to analyze both natural and anthropogenic factors influencing the occurrence of high nitrate concentrations in groundwater resources located in the central part of the Po Plain (Northern Italy). The proposed methodology applied in the Lodi District combines measurements of nitrate concentrations, carried out by means of a monitoring net of 69 wells, with spatial data representing both categorical and numerical variables. These variables describe either potential sources of nitrate and the relative ease with which it may migrate towards groundwater.