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License: CC BY
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Project deliverable . 2018
License: CC BY
Data sources: Datacite
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D1.4 – First version of MAGIC-CROPS

Authors: Monti, A.;

D1.4 – First version of MAGIC-CROPS

Abstract

The MAGIC-CROPS database is an easy-to-use tool describing 37 promising species suited to marginal land as defined in the JRC’s report (EUR 23412 EN - 2008 and later modifications). Crop descriptions include general botanical and morphological characteristics, agricultural practices, potential yield and quality, and current and potential uses. An evaluation score (0 to 3, unfeasible, high, moderate and low decrease of potential yield caused by biophysical constrains) is used to describe crop suitability to develop under different marginal conditions. The MAGIC-CROPS database will be continuously updated throughout the project. The present deliverable is an early version of the database including switchgrass, camelina, sugar beet, willow, lupin, wild sugarcane, giant reed, Siberian elm, Spanish broom, tall wheatgrass, cardoon, lavender.

Keywords

marginal lands, industrial crops, database

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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