Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 255

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Effect of Foliar Application of Zinc, Selenium, and Iron Fertilizers on Nutrients Concentration and Yield of Rice Grain in China

Fang, Yong, Wang, Lin, Xin, Zhihong, Zhao, Liyan, An, Xinxin, Hu, Qiuhui·2008·Journal of Agricultural and Food Chemistry

Abstract

Zn, Se, and Fe levels in 65 Chinese rice samples were investigated, and the results indicated that these micronutrients contents of rice products from different location varied considerably. The mean contents of Zn, Se and Fe in these rice samples were 21.5+/-1.8, 0.020+/-0.012, and 12.4+/-4.3 mg kg(-1), respectively, which were too low to meet the micronutrient demands for the population feeding on the rice as staple. A field orthogonal experiment L9 (3(4)) was conducted on rice cultivar Wuyunjing 7, to evaluate the effect of Zn, Se, and Fe foliar fertilization on the concentration of these micronutrients, yield, and protein and ash content of rice grain. The results indicated that Zn and Se were the main variables influencing the Zn, Se, and Fe content of rice, and the optimal combination of fertilization for enhancing these micronutrients was 0.90 kg ha(-1) Zn, 0.015 kg ha(-1) Se, and 0.90 kg ha(-1) Fe. Under the optimal application condition, Zn, Se, and Fe content of rice could be significantly increased by 36.7%, 194.1%, and 37.1%, respectively, compared with the control, without affecting grain yield and protein and ash content of rice products. Moreover, in the confirmation experiment on rice cultivar Ninggeng 1, the optimal fertilization could increase the Zn, Se, and Fe content of rice up to 17.4, 0.123, and 14.2 mg kg(-1), respectively.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/jf800150z

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Cited by

See all 255

Metadata

Authors
Fang, Y., Wang, L., Xin, Z., Zhao, L., An, X., & Hu, Q.
Venue
Journal of Agricultural and Food Chemistry
Published
2008-03-01
Volume
56
Issue
6
Pages
2079-2084
ISSN
  • 0021-8561 (ISSN-L)
  • 1520-5118
OpenAlex
W2055632136
Cited by
255
References
28
FWCI
10.03
Type
journal article
Language
en
Open access
closed

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

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.