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

[Image: see text] 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 d...

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Autores principales: Lamanna, Raffaele, Baviello, Gerardo, Catellani, Marcello
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037328/
https://www.ncbi.nlm.nih.gov/pubmed/36892971
http://dx.doi.org/10.1021/acs.jafc.2c08265
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author Lamanna, Raffaele
Baviello, Gerardo
Catellani, Marcello
author_facet Lamanna, Raffaele
Baviello, Gerardo
Catellani, Marcello
author_sort Lamanna, Raffaele
collection PubMed
description [Image: see text] 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.
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spelling pubmed-100373282023-03-25 Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture Lamanna, Raffaele Baviello, Gerardo Catellani, Marcello J Agric Food Chem [Image: see text] 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. American Chemical Society 2023-03-09 /pmc/articles/PMC10037328/ /pubmed/36892971 http://dx.doi.org/10.1021/acs.jafc.2c08265 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Lamanna, Raffaele
Baviello, Gerardo
Catellani, Marcello
Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture
title Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture
title_full Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture
title_fullStr Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture
title_full_unstemmed Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture
title_short Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture
title_sort spatially correlated nuclear magnetic resonance profiles as a tool for precision agriculture
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037328/
https://www.ncbi.nlm.nih.gov/pubmed/36892971
http://dx.doi.org/10.1021/acs.jafc.2c08265
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