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基于空间相关性的核磁共振谱在精准农业中的应用

Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture.

机构信息

Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Biotechnology and Agro-Industry Division, Trisaia Research Center, SS 106 Jonica Km 419.5, 75025 Rotondella, Matera, Italy.

Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Biotechnology and Agro-Industry Division, Casaccia Research Center, Via Aguillarese 301, 00123 Rome, Italy.

出版信息

J Agric Food Chem. 2023 Mar 22;71(11):4745-4754. doi: 10.1021/acs.jafc.2c08265. Epub 2023 Mar 9.

Abstract

Nuclear magnetic resonance (NMR) profiling, sample georeferentiaton, and geostatistics are applied to evaluate the spatial variability of metabolic expression of durum wheat in fields managed by precision agriculture. Durum wheat at three different vegetation stages, grown in two different places of the Basilicata region, in Italy, is analyzed by NMR. The spatial variability, within each field, of metabolites, quantified by NMR, is evidenced by appropriate geostatistic tools through the definition of a suitable metabolic index. Metabolic maps are compared to highlight the effects of soil and farming strategies.

摘要

核磁共振(NMR)谱分析、样本地理定位和地统计学被应用于评估精准农业管理下冬小麦代谢表达的空间变异性。在意大利巴西利卡塔地区的两个不同地点,对处于三个不同生长阶段的冬小麦进行了 NMR 分析。通过合适的代谢指数定义,利用适当的地统计学工具证明了 NMR 定量代谢物在每个田间的空间变异性。代谢图谱被用来比较,以突出土壤和耕作策略的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59f8/10037328/cd33cbb6284a/jf2c08265_0001.jpg

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