| Titolo | Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture |
|---|---|
| Tipo di pubblicazione | Articolo su Rivista peer-reviewed |
| Anno di Pubblicazione | 2022 |
| Autori | Lamanna, Raffaele, Baviello Gerardo, and Catellani Marcello |
| Rivista | Journal of Agricultural and Food Chemistry |
| Type of Article | Article |
| ISSN | 00218561 |
| Parole chiave | Durum wheats, Farms, Geo-statistics, geographic information systems, Geostatistic tools, In-field, Metabolic index, metabolism, Metabolites, Nuclear magnetic resonance, Nuclear magnetic resonance spectroscopy, Precision agriculture, Profiling, Spatial variability |
| 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. © 2023 The Authors. Published by American Chemical Society. |
| Note | Cited by: 0; All Open Access, Hybrid Gold Open Access |
| URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149731456&doi=10.1021%2facs.jafc.2c08265&partnerID=40&md5=22a403e38c4c7e6086f7b2e8c13b37d9 |
| DOI | 10.1021/acs.jafc.2c08265 |
| Citation Key | Lamanna2022 |
