Evidence map›Paper›PMID 35092584›Full record

ArticleEnvironmental science and pollution research international2022

Selection of low-cadmium and high-micronutrient wheat cultivars and exploration of the relationship between agronomic traits and grain cadmium.

Shuangshuang Li, Xianmin Huang, Na Liu, Yihui Chen, Huan He, Xiaoyu Cao, Jiulan Dai

Abstract read
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In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Shuangshuang LiEnvironment Research Institute, Shandong University, Binhai Road 72, Qingdao, 266237, Shandong, China.
Xianmin HuangShandong General Station of Agricultural Environmental Protection and Rural Energy, Jinan, 250100, China.
Na LiuCollege of Resource and Environment, Shanxi Agricultural University, Taigu, 030801, China.
Yihui ChenEnvironment Research Institute, Shandong University, Binhai Road 72, Qingdao, 266237, Shandong, China.
Huan HeEnvironment Research Institute, Shandong University, Binhai Road 72, Qingdao, 266237, Shandong, China.
Xiaoyu CaoEnvironment Research Institute, Shandong University, Binhai Road 72, Qingdao, 266237, Shandong, China.
Jiulan DaiEnvironment Research Institute, Shandong University, Binhai Road 72, Qingdao, 266237, Shandong, China. daijiulan@sdu.edu.cn.ORCID http://orcid.org/0000-0001-9427-9679

Funding

national key research and development program of china 2017YFD0800900national key research and development program of china 2018YFD0800303national natural science foundation of china 41977144postdoctoral science foundation of qingdao city 61460079311133shandong provincial key research and development program of china 2018GSF117024
6 · The paper itself

Abstract

The cadmium (Cd) and micronutrient contents in grains were used as screening indicators through a pot experiment, and the hierarchical cluster analysis was used to select wheat cultivars with low Cd and high micronutrient contents. The potential human health risks caused by wheat intake and the relationship between the Cd concentration in wheat grains and 12 agronomic traits were also investigated using the risk assessment model and logistic equation fitting, respectively. Yannong-23, Zhongmmai-175, and Luyuan-502, the main wheat cultivars promoted in the Huang-Huai-Hai region of China, were screened for low Cd accumulation and high micronutrient. Health risk assessment results demonstrated that children showed a high noncarcinogenic risk and that adults posed a high carcinogenic risk. The results of the agronomic trait analysis showed that low-Cd accumulation wheat cultivars had high spikelet number and fresh and dry weights of root, stem, and leaf (p < 0.05). Logistic curve fitting results showed that among all agronomic traits, the root dry weight was the most suitable factor with remarkable goodness of fit and showed a significant negative correlation. The Cd concentration in wheat grains could be predicted by the logistic curve equation obtained by fitting this trait. Results provided theoretical support for the safe use of slightly to moderately contaminated farmland, formulation of health risk management policies for different populations, and breeding of high-quality wheat.

Indexed as

Soil PollutantsTrace ElementsAdultCadmiumChildEdible GrainHumansMicronutrientsPlant BreedingSoilTriticumCadmiumMicronutrientsSoilSoil PollutantsTrace ElementsAgronomic traitsCadmiumHealth risk assessmentLogistic curve equationMicronutrientWheat

Identifiers

PMID35092584

What OpenQuestion holds

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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.