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Cited by 16Soil and Unsaturated FlowSoil Management and Crop YieldIrrigation Practices and Water Management

The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index.

Spent coffee grounds as organic amendment modify hydraulic properties in a sandy loam Brazilian soil

Abstract

Abstract Soil physical and chemical properties can be amended by application of organic residues, such as spent coffee grounds (SCG). In this work we examined SCG effects on the modification of some soil physical-hydraulic properties, such as soil water retention and aeration, investigating beneficial uses for this waste product. Soil properties were evaluated using pots filled with a mixture of a sandy loam soil with the contents of 0, 5, 10, 15 and 20% of SCG. The most relevant soil properties to the purposes were the moisture at container capacity (θcc), readily available water capacity (RAWC) and drainable porosity (ϕD). Additionally, under the hypothesis that SCG can be used as soil conditioner, lettuce crop, cultivar “Mimosa Roxa Roxanne”, was transplanted to the pots where the leaf area index and the cumulative biomass throughout the growing cycle were examined. Comparing to the absence of SCG (0%), soil SCG contents of 5, 10, 15 and 20% presented larger values of θcc and consequently larger RAWC and smaller ϕD. Although the increase of soil water storage from 43.2 (0%) to 53.3 (20%) mm, crop development was prejudiced by the reduction on ϕD from 0.1595 (0%) to 0.0827 (20%) m3 m−3, which affected soil aeration. This greater water availability, obtained with the increase of θcc, was promoted by the residue addition pointing out for a possible use of SCG to increase water retention for other crops.

Overview

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Registry

Crossref · 10.1016/j.agwat.2019.06.006

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 35 references

Research works printed but not linked: 3

  1. Casaroli, 2008, Criteria for pot capacity determination, Braz. J. Soil Sci., 32, 59
  2. Moraes, 2001, Effect of the use of hydrorretentor polymer on the soil on the irrigation interval in lettuce (Lactuca sativa L.), Rural Eng., 12
  3. Prevedello, 2002, Model for estimating the hydraulic properties of porous media from the granulometric curve, Brazilian Conference on Soil Mechanics and Geotechnical Engineering, 467

Cited by

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Metadata

Authors
Turek, M. E., Freitas, K. S., & Armindo, R. A.
Affiliations
Universidade Federal de Lavras (BR)
Corresponding author
Armindo, Robson André
Venue
Agricultural Water Management
Publisher
Elsevier BV
Published
2019-08
Volume
222
Pages
313-321
ISSN
0378-3774 (ISSN-L)
OpenAlex
W2950425380
Cited by
16
References
35
Citations by year
2026: 2 · 2025: 3 · 2024: 2 · 2023: 5 · 2022: 3 · 2020: 1
FWCI
0.75
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
  • Agricultural Water Management (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Soil and Unsaturated Flow
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Management and Crop Yield
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Irrigation Practices and Water Management
Keywords
spent coffee grounds, organic amendments, soil water retention, soil aeration, specific yield, container capacity, soil amendment, lettuce growth, sandy loam soil, waste valorization, soil hydraulic properties

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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.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.