Cited by 414Bioenergy crop production and managementCrop Yield and Soil FertilityPlant Growth and Agriculture Techniques

Key cultivation techniques for hemp in Europe and China

Amaducci, S., Scordia, D., Liu, F.H., Zhang, Q., Guo, H., Testa, G., Cosentino, S.L.·2015·Industrial Crops and Products

Abstract

Hemp (Cannabis sativa L.) is a multiuse, multifunctional crop that provides raw material to a large number of traditional and innovative industrial applications. A relatively simple, low input cultivation technique and the sustainability of its products are the main drivers for a future expansion of the hemp crop. In Europe, the large political support of bioenergy in recent years has fuelled numerous studies on the potential cultivation of hemp for bioenergy production. In China the main drivers for a renewed interest in hemp are its traditional applications. For any given destination, the main target of hemp cultivation is the maximization of biomass production, but each end-use destination has specific quality requirements in terms of properties of the bast fibre, characteristics of the oil and proteins in the seeds, or profile of secondary metabolites in the inflorescence.In this paper, traditional and innovative end use destinations and cultivation systems for hemp are introduced, together with some notes on hemp botany, biology, and resource use efficiency. This information, together with a review of the practical experience of hemp cultivation in Europe and China and knowledge gathered form scientific literature, highlights the effect of agronomic factors in determining the yield potential and quality level of hemp for specific end use destinations. To conclude, future perspectives and recommendations for hemp cultivation and research are discussed.

Integrity signals

Registry

Crossref · 10.1016/j.indcrop.2014.06.041

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Amaducci, S., Scordia, D., Liu, F. H., Zhang, Q., Guo, H., Testa, G., & Cosentino, S. L.
Affiliations
  • Università Cattolica del Sacro Cuore (IT)
  • University of Catania (IT)
  • Yunnan University (CN)
  • Yunnan Academy of Agricultural Sciences (CN)
Corresponding author
Amaducci, S.
Venue
Industrial Crops and Products
Publisher
Elsevier BV
Published
2015-06
Volume
68
Pages
2-16
ISSN
0926-6690 (ISSN-L)
OpenAlex
W1990762872
Cited by
414
References
5
Citations by year
2026: 40 · 2025: 58 · 2024: 46 · 2023: 40 · 2022: 57 · 2021: 59 · 2020: 40 · 2019: 28 · 2018: 16 · 2017: 21 · 2016: 7 · 2015: 1 · 2014: 1
FWCI
19.94
Type
journal article
Language
en
Open access
closed
Locations
Industrial Crops and Products (publishedVersion)
Funders
EU Seventh Framework Programme (311965)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Plant Growth and Agriculture Techniques
Keywords
hemp, Cannabis sativa, cultivation techniques, biomass production, bast fibers, hemp oil, seed proteins, secondary metabolites, bioenergy, agronomic factors, resource efficiency, yield potential, Europe, China

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review