Stable isotopes as a predictor for organic or conventional classification of berries and vegetables.

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES PLoS ONE Pub Date : 2025-03-12 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0318179
Xia Zhu-Barker, Michael Liou, Diana Zapata, Jingyi Huang, William R Horwath
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Abstract

Organic agriculture is expanding worldwide, driven by expectations of improving food quality and soil health. However, while organic certification by regulatory bodies such as the United States Department of Agriculture and the European Union confirms compliance with organic standards that prohibit synthetic chemical inputs, there is limited oversight to verify that organic practices, such as the use of authentic organic fertilizer sources, are consistently applied at the field level. This study investigated the elemental content of carbon (C) and nitrogen (N) and their stable isotopes (δ13C and δ15N) in seven different crops grown under organic or conventional practices to assess their applicability as a screening tool to verify the authenticity of organic labeled produce. Holm corrected Welch t-tests and a generalized linear mixed model (GLMM) were used to assess the potential of stable isotope or crop elemental content to differentiate organic vs. conventional production systems. Total C and N content or C/N ratio was not significantly different between production systems or among geographic origins for most crops. However, the average N stable isotope (δ15N) content differed, with conventional crops at 1.8 ±  2.2‰ and organic at 6.0 ±  3.4‰. A mixed model incorporating elemental contents and stable isotopes identified δ15N as the primary predictor in discriminating organic and conventional production systems. A δ15N threshold is suggested to differentiate conventional from organic grown raspberries (δ15N <  2.17‰) and strawberries (δ15N <  3.22‰), for an estimated false negative rate of 1%. Although further evaluation is needed, our extensive dataset (n = 791) captures key predictors of agricultural production systems and holds potential as a benchmark for future organic production verification.

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稳定同位素作为浆果和蔬菜有机或常规分类的预测因子。
在提高食品质量和土壤健康的期望的推动下,有机农业正在全球范围内扩张。然而,虽然美国农业部和欧洲联盟等监管机构的有机认证证实了禁止合成化学品投入的有机标准的遵守,但在核实有机做法(例如使用真正的有机肥料来源)在田间一级一贯应用方面的监督有限。本研究研究了7种不同有机或常规作物的碳(C)和氮(N)元素含量及其稳定同位素(δ13C和δ15N),以评估其作为有机标签产品真实性筛选工具的适用性。Holm校正了Welch t检验,并使用广义线性混合模型(GLMM)来评估稳定同位素或作物元素含量的潜力,以区分有机生产系统与传统生产系统。大多数作物的总碳氮含量或碳氮比在不同生产系统或不同产地间无显著差异。平均氮稳定同位素(δ15N)含量差异较大,常规作物为1.8±2.2‰,有机作物为6.0±3.4‰。结合元素含量和稳定同位素的混合模型确定δ15N是区分有机和常规生产系统的主要预测因子。提出了一个δ15N阈值来区分常规树莓和有机树莓(δ15N)
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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