The DOI matches its Crossref record.
A Case for Silicon Fertilization to Improve Crop Yields in Tropical Soils
Open accessAbstract
Long period of intensive crop cultivation deplete the available soil silicon (Si). Depletion of available Si in the soil could be one of the possible limiting factors amongst others contributing to declining yields. The lower values for Si in the soil can be justified due to (i) severe and frequent soil erosion and sediment transportation. (ii) Usually plants absorb Si almost equal to the concentration of most of macronutrients. (iii) Due to the desilication process, Si in the soil is continuously lost as the result of leaching process. Subtropical and tropical soils are generally low in available Si and would benefit from Si fertilization. The silicon content in some regions might be limited to sustainable crop production. Hence, improved Si management to increase yield and sustain crop productivity appears to be necessary in temperate as well in tropical countries. In order to address this problem of yield decline or stagnation, it seems necessary to survey the Si status of agriculturally important soils of different parts of the country and develop region-specific integrated nutrient management systems that include the Si element.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Etesami, H., & Jeong, B. R. (2018) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2017.09.063 · Cited by 549
Kelland, M. E., Wade, P. W., Lewis, A. L., Taylor, L. L., Sarkar, B., Andrews, M. G., Lomas, M. R., Cotton, T. E. A., Kemp, S. J., James, R. H., et al. (2020) · Global Change Biology · doi:10.1111/gcb.15089 · Cited by 281
Ning, D., Liang, Y., Liu, Z., Xiao, J., & Duan, A. (2016) · PLOS ONE · doi:10.1371/journal.pone.0168163 · Cited by 135
Metadata
- Authors
- Meena, V. D., Dotaniya, M. L., Coumar, V., Rajendiran, S., Ajay, Kundu, S., & Subba Rao, A.
- Venue
- Proceedings of the National Academy of Sciences, India Section B: Biological Sciences
- Published
- 2013-12-25
- Volume
- 84
- Issue
- 3
- Pages
- 505-518
- ISSN
- 0369-8211 (ISSN-L)
- 2250-1746
- OpenAlex
- W2072597984
- Cited by
- 399
- References
- 0
- FWCI
- 9.72
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Case for Silicon Fertilization to Improve Crop Yields in Tropical Soils. https://app.cochat.ai/papers/10.1007/s40011-013-0270-y
- The paper
- Meena, V. D., Dotaniya, M. L., Coumar, V., Rajendiran, S., Ajay, Kundu, S., & Subba Rao, A. (2014). A Case for Silicon Fertilization to Improve Crop Yields in Tropical Soils. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences. https://doi.org/10.1007/s40011-013-0270-y
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.