Lu Lin , Xiaopeng Zhao , Yumeng Li , Jingbo Ling , Jinghua Ren , Qilin Liao , Dongmei Zhou , Xueyuan Gu
{"title":"小麦籽粒镉积累:积累模型和安全生产的土壤阈值","authors":"Lu Lin , Xiaopeng Zhao , Yumeng Li , Jingbo Ling , Jinghua Ren , Qilin Liao , Dongmei Zhou , Xueyuan Gu","doi":"10.1016/j.eehl.2025.100154","DOIUrl":null,"url":null,"abstract":"<div><div>The high cadmium (Cd) accumulation ability of wheat has garnered significant attention in China. It is crucial to identify the key factors affecting Cd accumulation in wheat and to develop predictive models to derive the threshold concentration of Cd in soil for safe wheat production. A total of 311 soil–wheat paired datasets were collected from both literature and field surveys in China, in which the ranges of Cd in soil and wheat grain were 0.068–13.500 mg/kg and 0.006–2.190 mg/kg, respectively. Correlation analyses and Partial Least Squares Path Model indicated that soil Cd, soil pH, and CEC together controlled the transfer of Cd from soil to wheat. Multiple linear regression models were successfully established using soil Cd contents or bioavailable Cd (extracted by CaCl<sub>2</sub> or calculated using a multi-surface speciation model), pH, and CEC as input variables to predict wheat Cd (RMSE = 0.242–0.327, MAE = 0.188–0.249). Furthermore, the Extreme Random Tree model (RMSE = 0.221, MAE = 0.165) outperformed the other seven machine learning algorithms. The thresholds for both soil total Cd and bioavailable Cd for safe wheat production were further back-calculated according to the permissible value of Cd in wheat grain, which demonstrated enhanced protection accuracy compared to the current soil quality standard. Our findings facilitate a quantitative assessment of Cd accumulation risk in wheat, offering a valuable reference for the safe production of wheat.</div></div>","PeriodicalId":29813,"journal":{"name":"Eco-Environment & Health","volume":"4 2","pages":"Article 100154"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cadmium accumulation in wheat grain: Accumulation models and soil thresholds for safe production\",\"authors\":\"Lu Lin , Xiaopeng Zhao , Yumeng Li , Jingbo Ling , Jinghua Ren , Qilin Liao , Dongmei Zhou , Xueyuan Gu\",\"doi\":\"10.1016/j.eehl.2025.100154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The high cadmium (Cd) accumulation ability of wheat has garnered significant attention in China. It is crucial to identify the key factors affecting Cd accumulation in wheat and to develop predictive models to derive the threshold concentration of Cd in soil for safe wheat production. A total of 311 soil–wheat paired datasets were collected from both literature and field surveys in China, in which the ranges of Cd in soil and wheat grain were 0.068–13.500 mg/kg and 0.006–2.190 mg/kg, respectively. Correlation analyses and Partial Least Squares Path Model indicated that soil Cd, soil pH, and CEC together controlled the transfer of Cd from soil to wheat. Multiple linear regression models were successfully established using soil Cd contents or bioavailable Cd (extracted by CaCl<sub>2</sub> or calculated using a multi-surface speciation model), pH, and CEC as input variables to predict wheat Cd (RMSE = 0.242–0.327, MAE = 0.188–0.249). Furthermore, the Extreme Random Tree model (RMSE = 0.221, MAE = 0.165) outperformed the other seven machine learning algorithms. The thresholds for both soil total Cd and bioavailable Cd for safe wheat production were further back-calculated according to the permissible value of Cd in wheat grain, which demonstrated enhanced protection accuracy compared to the current soil quality standard. Our findings facilitate a quantitative assessment of Cd accumulation risk in wheat, offering a valuable reference for the safe production of wheat.</div></div>\",\"PeriodicalId\":29813,\"journal\":{\"name\":\"Eco-Environment & Health\",\"volume\":\"4 2\",\"pages\":\"Article 100154\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eco-Environment & Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772985025000237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eco-Environment & Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772985025000237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cadmium accumulation in wheat grain: Accumulation models and soil thresholds for safe production
The high cadmium (Cd) accumulation ability of wheat has garnered significant attention in China. It is crucial to identify the key factors affecting Cd accumulation in wheat and to develop predictive models to derive the threshold concentration of Cd in soil for safe wheat production. A total of 311 soil–wheat paired datasets were collected from both literature and field surveys in China, in which the ranges of Cd in soil and wheat grain were 0.068–13.500 mg/kg and 0.006–2.190 mg/kg, respectively. Correlation analyses and Partial Least Squares Path Model indicated that soil Cd, soil pH, and CEC together controlled the transfer of Cd from soil to wheat. Multiple linear regression models were successfully established using soil Cd contents or bioavailable Cd (extracted by CaCl2 or calculated using a multi-surface speciation model), pH, and CEC as input variables to predict wheat Cd (RMSE = 0.242–0.327, MAE = 0.188–0.249). Furthermore, the Extreme Random Tree model (RMSE = 0.221, MAE = 0.165) outperformed the other seven machine learning algorithms. The thresholds for both soil total Cd and bioavailable Cd for safe wheat production were further back-calculated according to the permissible value of Cd in wheat grain, which demonstrated enhanced protection accuracy compared to the current soil quality standard. Our findings facilitate a quantitative assessment of Cd accumulation risk in wheat, offering a valuable reference for the safe production of wheat.
期刊介绍:
Eco-Environment & Health (EEH) is an international and multidisciplinary peer-reviewed journal designed for publications on the frontiers of the ecology, environment and health as well as their related disciplines. EEH focuses on the concept of “One Health” to promote green and sustainable development, dealing with the interactions among ecology, environment and health, and the underlying mechanisms and interventions. Our mission is to be one of the most important flagship journals in the field of environmental health.
Scopes
EEH covers a variety of research areas, including but not limited to ecology and biodiversity conservation, environmental behaviors and bioprocesses of emerging contaminants, human exposure and health effects, and evaluation, management and regulation of environmental risks. The key topics of EEH include:
1) Ecology and Biodiversity Conservation
Biodiversity
Ecological restoration
Ecological safety
Protected area
2) Environmental and Biological Fate of Emerging Contaminants
Environmental behaviors
Environmental processes
Environmental microbiology
3) Human Exposure and Health Effects
Environmental toxicology
Environmental epidemiology
Environmental health risk
Food safety
4) Evaluation, Management and Regulation of Environmental Risks
Chemical safety
Environmental policy
Health policy
Health economics
Environmental remediation