干草垃圾袋中生物肥料的近红外光谱足迹

G. Masoero, Marco Delmastro, Alberto Cugnetto, G. Giovannetti, M. Nuti
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引用次数: 8

摘要

利用土壤微生物群对作物进行生物施肥(MBS)是一种用于维持肥力的现代做法。MBS药剂可以通过对茎部和根系的繁茂来促进作物的产量和健康。致力于系统MBS施肥的农民正在创造一种“共生”(S)形式的农业,它比传统(C)或有机农业具有更大的弹性优势。由于MBS与有机物降解有关,因此在中短期内,干草垃圾袋探针可用于反映活性土壤的整体功能。本文表明,NIRS干草-垃圾袋技术,不是作为质量衰减,而是作为干草探针的质量进化,可以作为S与C土壤的有效足迹建模。在8个实验中,使用专利MBS,将S处理论文的垃圾袋与未接种C论文的等效垃圾袋进行比较。垃圾袋成分中S和C的化学特征是糖和纤维的百分比减少。采用智能近红外光谱(NIRS)鉴别S和C垃圾袋的来源,灵敏度为71% (P<0.0001)。对37个S农场的外部验证表明,3种近红外光谱模型对S真阳性光谱的判别灵敏度为90%(单一概率)和98%(复合概率)。此外,SCIO-NIR设备还可以将S农场连接到智能网络中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NIRS Footprint of Bio-Fertilizers from Hay Litter-Bags
The biofertilization of cropsusing microbial biota in the soil (MBS) is a modern practice that is used to sustain fertility. MBS agents can promote the yield and health of crops, by luxuriating in the shoot as well as in the root systems. Farmers devoted to systematic MBS fertilization are creating a “Symbiotic” (S) form of agriculture, which offers a greater advantage of resilience than Conventional (C) or organic farming. Since MBS is involved in organic matter degradation, hay-litter-bag probes can be used to reflect a global functionality of the active soil, in the short-medium term. It is here shown that the NIRS hay-litter-bag technique, intended not as mass decay but as a quality evolution of the hay probes, can be modelled as a valid footprint of S vs. C soils. A patented MBS was used in eight experiments in which litter-bags from an S treated thesis were compared with equivalent litter-bags from a non-inoculated C thesis. The chemical signature of the S vs. C in the litter-bag composition was a percentage decrease of sugars and fibres. A smart NIRS device was used to discriminate the origin of the S vs. C litter-bags and a sensitivity of 71% (P<0.0001) was obtained. External validations on 37 S farms showed that three NIRS models discriminated the true positive S spectra, with a sensitivity of 90% as single and 98% as compound probabilities The NIRS radiation of the hay-litter-bags confirmed the results of the S vs. C agriculture soil footprint. Moreover, the SCIO-NIR devices also made it possible to connect the S farms in a smart network.
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