Cited by 1,436Soil Carbon and Nitrogen DynamicsAgricultural Science and FertilizationSoil Management and Crop Yield

Long-term effects of organic amendments on soil fertility. A review

Open access
Diacono, Mariangela, Montemurro, Francesco·2010·Agronomy for Sustainable Development

Integrity signals

Registry

Crossref · 10.1051/agro/2009040

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Authors
Diacono, M., & Montemurro, F.
Affiliations
Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (IT)
Corresponding author
Montemurro, Francesco
Venue
Agronomy for Sustainable Development
Published
2010-04
Volume
30
Issue
2
Pages
401-422
ISSN
  • 1773-0155 (ISSN-L)
  • 1774-0746
OpenAlex
W1988563190
Cited by
1,436
References
1
Citations by year
2026: 123 · 2025: 113 · 2024: 112 · 2023: 107 · 2022: 124 · 2021: 139 · 2020: 144 · 2019: 105 · 2018: 96 · 2017: 88 · 2016: 86 · 2015: 59 · 2014: 53 · 2013: 36 · 2012: 27
FWCI
27.96
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Agronomy for Sustainable Development (publishedVersion)
  • HAL (submittedVersion, other-oa)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Agricultural Science and Fertilization
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Management and Crop Yield
Keywords
organic amendments, soil fertility, compost, municipal solid waste compost, soil organic carbon, soil carbon sequestration, soil degradation, soil organic matter, soil microbial biomass carbon, soil enzyme activity, soil aggregate stability, soil bulk density, crop yield, heavy metals, nitrate leaching, climate change mitigation, long-term field experiment, organic waste recycling, soil nitrogen mineralization

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.

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