Deviation From the Regression of Yield on Nitrogen Fertiliser Rate as a Tool for Detecting Fraud in Organic Banana Production

IF 2.8 3区 农林科学 Q1 AGRONOMY
Albrecht Benzing, Hans-Peter Piepho, Ryan Orr, Juan-Carlos Ullauri
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引用次数: 0

Abstract

Background and aims

Bananas are demanding in nitrogen (N) input; therefore, there is a temptation for organic farmers for using synthetic N fertilisers, which are not allowed under organic standards. The aim of our study was to develop a tool that identifies high banana yields obtained with suspiciously low organic N input.

Methods

We systematically reviewed literature from experimental studies on N fertilisation in bananas from all over the world. We also developed a simplified N balance model for organic bananas. Furthermore, N fertilisation and banana yield data from organic and conventional farmers in different countries were collected. From these, a subset of trustworthy organic farms was identified, as a reference concerning plausible ratios of yield versus fertilisation. A model was developed to estimate the deviation from the regression of trustworthy farms and thus identify suspicious cases.

Results

Neither literature nor the N balance led to a meaningful benchmark for differentiating plausible from non-plausible yields. The regression of yield on N fertiliser rate from the trustworthy organic farmers, however, turned out to be a helpful reference, and the deviation from this regression helps to achieve our aim. Depending on the alert limit, that is, the probability of obtaining false positive results, 4, 6, or 9 out of 157 data-pairs from organic farmers turned out to be suspicious.

Conclusion

Measuring deviation from the regression of the trustworthy farms is a useful tool for identifying organic banana farmers suspected to be using synthetic N fertilisers but is not in itself a proof of fraud. The model will improve as more data becomes available.

Abstract Image

有机香蕉生产中氮肥用量对产量回归偏差的检测
背景与目的香蕉对氮(N)的输入是有要求的;因此,有机农民有使用合成氮肥的诱惑,这在有机标准中是不允许的。我们研究的目的是开发一种工具,可以识别在可疑的低有机氮投入下获得的高香蕉产量。方法系统回顾了国内外香蕉施氮试验研究文献。我们还建立了一个简化的有机香蕉氮平衡模型。此外,还收集了不同国家有机和传统农民的氮肥和香蕉产量数据。从这些,一个值得信赖的有机农场的子集被确定,作为参考有关产量与施肥的合理比例。开发了一个模型来估计可信农场回归的偏差,从而识别可疑病例。结果无论是文献还是氮素平衡都没有得出一个有意义的基准来区分合理和不合理的产量。然而,可靠的有机农民的氮肥产量回归是一个有益的参考,偏离该回归有助于实现我们的目标。根据警报限制,即获得假阳性结果的概率,来自有机农民的157对数据中有4、6或9对被证明是可疑的。结论测量可信农场的回归偏差是识别疑似使用合成氮肥的有机香蕉农户的有用工具,但本身并不能证明欺诈行为。随着更多数据的出现,该模型将得到改进。
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来源期刊
CiteScore
4.70
自引率
8.00%
发文量
90
审稿时长
8-16 weeks
期刊介绍: Established in 1922, the Journal of Plant Nutrition and Soil Science (JPNSS) is an international peer-reviewed journal devoted to cover the entire spectrum of plant nutrition and soil science from different scale units, e.g. agroecosystem to natural systems. With its wide scope and focus on soil-plant interactions, JPNSS is one of the leading journals on this topic. Articles in JPNSS include reviews, high-standard original papers, and short communications and represent challenging research of international significance. The Journal of Plant Nutrition and Soil Science is one of the world’s oldest journals. You can trust in a peer-reviewed journal that has been established in the plant and soil science community for almost 100 years. Journal of Plant Nutrition and Soil Science (ISSN 1436-8730) is published in six volumes per year, by the German Societies of Plant Nutrition (DGP) and Soil Science (DBG). Furthermore, the Journal of Plant Nutrition and Soil Science (JPNSS) is a Cooperating Journal of the International Union of Soil Science (IUSS). The journal is produced by Wiley-VCH. Topical Divisions of the Journal of Plant Nutrition and Soil Science that are receiving increasing attention are: JPNSS – Topical Divisions Special timely focus in interdisciplinarity: - sustainability & critical zone science. Soil-Plant Interactions: - rhizosphere science & soil ecology - pollutant cycling & plant-soil protection - land use & climate change. Soil Science: - soil chemistry & soil physics - soil biology & biogeochemistry - soil genesis & mineralogy. Plant Nutrition: - plant nutritional physiology - nutrient dynamics & soil fertility - ecophysiological aspects of plant nutrition.
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