{"title":"从水库到盘子:监测灌溉水源作为萨赫勒小农系统蔬菜微生物污染风险的主要驱动因素","authors":"Adama Pamba Séré, Abdoudramane Sanou, Edwige Noëlle Roamba, Nabèrè Ouattara, Roger Dakuyo, Kabakdé Kaboré, Kiessoun Konaté, Donatien Kaboré, Mamoudou Hama Dicko","doi":"10.1007/s10661-026-16056-9","DOIUrl":null,"url":null,"abstract":"<div><p>Consumption of raw vegetables is a major foodborne exposure pathway in sub-Saharan Africa, yet the relative contribution of irrigation water quality versus on-farm hygiene practices to human contamination risk has rarely been quantified using a convergent, multi-method statistical framework. This study determined the relative weight of irrigation water source and Good Agricultural/Hygiene Practices (GAP/GHP) compliance as drivers of microbiological contamination, and thus human exposure risk, for raw vegetables in Northern Burkina Faso. Lettuce (<i>n</i> = 66) and tomato (<i>n</i> = 54) were sampled from 120 farms across three sites irrigated with reservoir, well, or borehole water. GAP/GHP compliance was scored by field audit; <i>Escherichia coli</i> and <i>Salmonella</i> spp. were quantified by ISO reference methods and analysed using ANOVA, logistic regression, random forest modelling, principal component analysis and k-means clustering. Irrigation water source was the dominant predictor of <i>E. coli</i> load (F = 61.6, <i>p</i> < 0.001, eta-squared = 0.51), with mean loads of 3.00, 2.25 and 1.19 log CFU/g for reservoir, well and borehole water respectively; no <i>Salmonella</i> was detected in borehole-irrigated samples. Reservoir water was the primary <i>Salmonella</i> risk factor (OR = 3.82, 95% CI 1.29–11.3). Random forest modelling confirmed water source as the leading predictor (41.1% importance) ahead of hygiene practices (9.8%), and this ranking was stable across five independent analytical methods. We translate these findings into a field-deployable Water-Security Risk Score for extension services, and situate irrigation water source as a broadly relevant human exposure pathway across smallholder vegetable systems in the wider Sahel.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From reservoir to plate: monitoring irrigation water source as the dominant driver of vegetable microbial contamination risk in Sahelian smallholder systems\",\"authors\":\"Adama Pamba Séré, Abdoudramane Sanou, Edwige Noëlle Roamba, Nabèrè Ouattara, Roger Dakuyo, Kabakdé Kaboré, Kiessoun Konaté, Donatien Kaboré, Mamoudou Hama Dicko\",\"doi\":\"10.1007/s10661-026-16056-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Consumption of raw vegetables is a major foodborne exposure pathway in sub-Saharan Africa, yet the relative contribution of irrigation water quality versus on-farm hygiene practices to human contamination risk has rarely been quantified using a convergent, multi-method statistical framework. This study determined the relative weight of irrigation water source and Good Agricultural/Hygiene Practices (GAP/GHP) compliance as drivers of microbiological contamination, and thus human exposure risk, for raw vegetables in Northern Burkina Faso. Lettuce (<i>n</i> = 66) and tomato (<i>n</i> = 54) were sampled from 120 farms across three sites irrigated with reservoir, well, or borehole water. GAP/GHP compliance was scored by field audit; <i>Escherichia coli</i> and <i>Salmonella</i> spp. were quantified by ISO reference methods and analysed using ANOVA, logistic regression, random forest modelling, principal component analysis and k-means clustering. Irrigation water source was the dominant predictor of <i>E. coli</i> load (F = 61.6, <i>p</i> < 0.001, eta-squared = 0.51), with mean loads of 3.00, 2.25 and 1.19 log CFU/g for reservoir, well and borehole water respectively; no <i>Salmonella</i> was detected in borehole-irrigated samples. 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We translate these findings into a field-deployable Water-Security Risk Score for extension services, and situate irrigation water source as a broadly relevant human exposure pathway across smallholder vegetable systems in the wider Sahel.</p></div>\",\"PeriodicalId\":544,\"journal\":{\"name\":\"Environmental Monitoring and Assessment\",\"volume\":\"198 11\",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2026-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Monitoring and Assessment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10661-026-16056-9\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Monitoring and Assessment","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s10661-026-16056-9","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
在撒哈拉以南非洲地区,食用生蔬菜是主要的食源性接触途径,然而,灌溉水质与农场卫生做法对人类污染风险的相对贡献很少使用收敛的多方法统计框架进行量化。本研究确定了灌溉水源和良好农业/卫生规范(GAP/GHP)合规性作为布基纳法索北部生蔬菜微生物污染驱动因素的相对权重,从而确定了人类暴露风险。生菜(n = 66)和番茄(n = 54)从三个用水库、水井或井水灌溉的地点的120个农场取样。通过现场审核对GAP/GHP符合性进行评分;采用ISO参考方法对大肠杆菌和沙门氏菌进行定量,并采用方差分析、logistic回归、随机森林模型、主成分分析和k-means聚类进行分析。灌溉水源是大肠杆菌负荷的主要预测因子(F = 61.6, p < 0.001, eta-squared = 0.51),水库、井水和钻孔水的平均负荷分别为3.00、2.25和1.19 log CFU/g;孔灌样品未检出沙门氏菌。水库水是沙门氏菌感染的主要危险因素(OR = 3.82, 95% CI 1.29-11.3)。随机森林模型证实,水源是最重要的预测因素(重要性为41.1%),高于卫生习惯(重要性为9.8%),这一排名在五种独立分析方法中是稳定的。我们将这些发现转化为可在现场部署的水安全风险评分,用于推广服务,并将灌溉水源定位为更广泛的萨赫勒地区小农蔬菜系统中广泛相关的人类暴露途径。
From reservoir to plate: monitoring irrigation water source as the dominant driver of vegetable microbial contamination risk in Sahelian smallholder systems
Consumption of raw vegetables is a major foodborne exposure pathway in sub-Saharan Africa, yet the relative contribution of irrigation water quality versus on-farm hygiene practices to human contamination risk has rarely been quantified using a convergent, multi-method statistical framework. This study determined the relative weight of irrigation water source and Good Agricultural/Hygiene Practices (GAP/GHP) compliance as drivers of microbiological contamination, and thus human exposure risk, for raw vegetables in Northern Burkina Faso. Lettuce (n = 66) and tomato (n = 54) were sampled from 120 farms across three sites irrigated with reservoir, well, or borehole water. GAP/GHP compliance was scored by field audit; Escherichia coli and Salmonella spp. were quantified by ISO reference methods and analysed using ANOVA, logistic regression, random forest modelling, principal component analysis and k-means clustering. Irrigation water source was the dominant predictor of E. coli load (F = 61.6, p < 0.001, eta-squared = 0.51), with mean loads of 3.00, 2.25 and 1.19 log CFU/g for reservoir, well and borehole water respectively; no Salmonella was detected in borehole-irrigated samples. Reservoir water was the primary Salmonella risk factor (OR = 3.82, 95% CI 1.29–11.3). Random forest modelling confirmed water source as the leading predictor (41.1% importance) ahead of hygiene practices (9.8%), and this ranking was stable across five independent analytical methods. We translate these findings into a field-deployable Water-Security Risk Score for extension services, and situate irrigation water source as a broadly relevant human exposure pathway across smallholder vegetable systems in the wider Sahel.
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.