Abstract

This work, developed under the EuroPruning Project, aims to look at relations between pruning biomass production and several factors related both to crop species and management. The aim is to find out mathematical relations that allow improvement of the biomass potential assessment. This is generally calculated using biomass production ratios. These ratios are variable due to the influence of several aspects. On the one hand there are crop characteristics—such as species, cultivar, and age—and on the other, crop management, which is often associated to local habits and conditions such as the training system, planting pattern, density, pruning methods, irrigation and climate. This work has been produced by gathering data from literature reviews and surveying. The subset of Italian records in the EuroPruning database consists of 70 records. Each record contains the biomass production ratio and eight agronomic variables. Additionally, a set of six climatic and agro-climatic groups of variables (in total 28 variables) have been added to each record. Moderate to good correlations have been found, especially with few climatic factors. As a result, two regression models are proposed for the evaluation of the vineyard and olive tree pruning biomass ratios for Italy, and applied to assess pruning biomass potential.

Highlights

  • Bioenergy has a primary role in achieving the target set in the national Renewable Action Plans, accounting for almost 54.5% of these [1]

  • The bioeconomy fosters the hierarchical utilization of biomass, based on the “cascade principle” [3]

  • Agricultural Engineering Association) and ENEA is widely utilized to assess agricultural residues, both at NUTS-2 (Nomenclature of territorial units for statistics) [9,33] and NUTS-3 level [34,35]. It is based on crop-specific residue to product ratio

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Summary

Introduction

Bioenergy has a primary role in achieving the target set in the national Renewable Action Plans (nREAP), accounting for almost 54.5% of these [1]. In the last years several studies have assessed the biomass potential in Europe and in Italy from agricultural residues, including prunings Their results are often discordant or not directly comparable due to the different purposes (research oriented, decision making support), scale (national, regional, local level) and methodologies applied. Agricultural Engineering Association) and ENEA (the Italian National Agency for New Technologies, Energy and Sustainable Economic Development) is widely utilized to assess agricultural residues, both at NUTS-2 (Nomenclature of territorial units for statistics) [9,33] and NUTS-3 level [34,35] It is based on crop-specific residue to product ratio. Two regression models, respectively for vineyards and olive trees, have been built, allowing the calculation of a specific residue to surface ratio for each Italian province

Database Implementation
Survey
Literature Review
Addition of Further Variables
Correlation Analysis and Implementation of Regression Models
Ramp Function and Geographical Implementation
Literature Analysis
Locations
Literature & Surveys
Correlation and Regression Analysis
Pruning Biomass Potential for Vineyard and Olive
Conclusions
Methods
Full Text
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