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δ(13)C as a tool for iron and phosphorus deficiency prediction in crops
Many studies proposed the use of stable carbon isotope ratio (δ(13)C) as a predictor of abiotic stresses in plants, considering only drought and nitrogen deficiency without further investigating the impact of other nutrient deficiencies, that is, phosphorus (P) and/or iron (Fe) deficiencies. To fill...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027435/ https://www.ncbi.nlm.nih.gov/pubmed/36950260 http://dx.doi.org/10.1002/pld3.487 |
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author | Trevisan, Fabio Tiziani, Raphael Hall, Robert D. Cesco, Stefano Mimmo, Tanja |
author_facet | Trevisan, Fabio Tiziani, Raphael Hall, Robert D. Cesco, Stefano Mimmo, Tanja |
author_sort | Trevisan, Fabio |
collection | PubMed |
description | Many studies proposed the use of stable carbon isotope ratio (δ(13)C) as a predictor of abiotic stresses in plants, considering only drought and nitrogen deficiency without further investigating the impact of other nutrient deficiencies, that is, phosphorus (P) and/or iron (Fe) deficiencies. To fill this knowledge gap, we assessed the δ(13)C of barley ( Hordeum vulgare L.), cucumber ( Cucumis sativus L.), maize ( Zea mays L.), and tomato (Solanum lycopersicon L.) plants suffering from P, Fe, and combined P/Fe deficiencies during a two‐week period using an isotope‐ratio mass spectrometer. Simultaneously, plant physiological status was monitored with an infra‐red gas analyzer. Results show clear contrasting time‐, treatment‐, species‐, and tissue‐specific variations. Furthermore, physiological parameters showed limited correlation with δ(13)C shifts, highlighting that the plants' δ(13)C, does not depend solely on photosynthetic carbon isotope fractionation/discrimination (Δ). Hence, the use of δ(13)C as a predictor is highly discouraged due to its inability to detect and discern different nutrient stresses, especially when combined stresses are present. |
format | Online Article Text |
id | pubmed-10027435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100274352023-03-21 δ(13)C as a tool for iron and phosphorus deficiency prediction in crops Trevisan, Fabio Tiziani, Raphael Hall, Robert D. Cesco, Stefano Mimmo, Tanja Plant Direct Original Research Many studies proposed the use of stable carbon isotope ratio (δ(13)C) as a predictor of abiotic stresses in plants, considering only drought and nitrogen deficiency without further investigating the impact of other nutrient deficiencies, that is, phosphorus (P) and/or iron (Fe) deficiencies. To fill this knowledge gap, we assessed the δ(13)C of barley ( Hordeum vulgare L.), cucumber ( Cucumis sativus L.), maize ( Zea mays L.), and tomato (Solanum lycopersicon L.) plants suffering from P, Fe, and combined P/Fe deficiencies during a two‐week period using an isotope‐ratio mass spectrometer. Simultaneously, plant physiological status was monitored with an infra‐red gas analyzer. Results show clear contrasting time‐, treatment‐, species‐, and tissue‐specific variations. Furthermore, physiological parameters showed limited correlation with δ(13)C shifts, highlighting that the plants' δ(13)C, does not depend solely on photosynthetic carbon isotope fractionation/discrimination (Δ). Hence, the use of δ(13)C as a predictor is highly discouraged due to its inability to detect and discern different nutrient stresses, especially when combined stresses are present. John Wiley and Sons Inc. 2023-03-20 /pmc/articles/PMC10027435/ /pubmed/36950260 http://dx.doi.org/10.1002/pld3.487 Text en © 2023 The Authors. Plant Direct published by American Society of Plant Biologists and the Society for Experimental Biology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Trevisan, Fabio Tiziani, Raphael Hall, Robert D. Cesco, Stefano Mimmo, Tanja δ(13)C as a tool for iron and phosphorus deficiency prediction in crops |
title | δ(13)C as a tool for iron and phosphorus deficiency prediction in crops |
title_full | δ(13)C as a tool for iron and phosphorus deficiency prediction in crops |
title_fullStr | δ(13)C as a tool for iron and phosphorus deficiency prediction in crops |
title_full_unstemmed | δ(13)C as a tool for iron and phosphorus deficiency prediction in crops |
title_short | δ(13)C as a tool for iron and phosphorus deficiency prediction in crops |
title_sort | δ(13)c as a tool for iron and phosphorus deficiency prediction in crops |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027435/ https://www.ncbi.nlm.nih.gov/pubmed/36950260 http://dx.doi.org/10.1002/pld3.487 |
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