Evidence map›Paper›PMID 34424470›Full record

ArticleEnvironmental science and pollution research international2022

Effect of foliar application of the selenium-rich nutrient solution on the selenium accumulation in grains of Foxtail millet (Zhangzagu 10).

Xiaojun Li, Jingjing Sun, Wenshuan Li, Zongqiang Gong, Chunyun Jia, Peijun Li

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiaojun LiInstitute of Applied Ecology, Chinese Academy of Sciences, Key Laboratory of Pollution Ecology and Environment Engineering, Shenyang, 110016, China. lixiaojun@iae.ac.cn.
Jingjing SunInstitute of Applied Ecology, Chinese Academy of Sciences, Key Laboratory of Pollution Ecology and Environment Engineering, Shenyang, 110016, China.
Wenshuan LiDepartment of Agriculture, Hetao College, Bayannur, 015000, China.
Zongqiang GongInstitute of Applied Ecology, Chinese Academy of Sciences, Key Laboratory of Pollution Ecology and Environment Engineering, Shenyang, 110016, China.
Chunyun JiaInstitute of Applied Ecology, Chinese Academy of Sciences, Key Laboratory of Pollution Ecology and Environment Engineering, Shenyang, 110016, China.
Peijun LiInstitute of Applied Ecology, Chinese Academy of Sciences, Key Laboratory of Pollution Ecology and Environment Engineering, Shenyang, 110016, China.

Funding

Academician and expert workstation for key techniques of functional agriculture in the Farming-Pastoral Zone No: 20190001Key Technology Research and Development Program of Shandong (CN) 2019YFD110050402
6 · The paper itself

Abstract

The foliar application of selenium (Se) is an effective method for biofortification of Se in crop grains in order to provide sufficient Se for human health. As a staple food in China, the foxtail millet (Setaria italica L.), which had been Se biofortification, would be helpful to overcome Se deficiency in the diet. The Se fertilizer and its application technology are vital for reducing environmental risk while enriching selenium. Hence, the Se-rich nutrient solution developed by ourselves was used, and the effect of its amount and growth stage applied on the accumulation of Se in grains of foxtail millet (Setaria italica L.) was studied in the present study. The results were as follows: (1) the Se concentration in grains increased with the Se application rate increasing, and the highest Se concentration in grains was 1.83 mg kg

Indexed as

OryzaSeleniumSetaria PlantFertilizersHumansNutrientsFertilizersNutrientsSeleniumFertilizerFoliar applicationFoxtail milletGrainGrowth stageSelenium

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.