δ13C as a tool for iron and phosphorus deficiency prediction in crops
Abstract Many studies proposed the use of stable carbon isotope ratio (δ13C) 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....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-03-01
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| Series: | Plant Direct |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/pld3.487 |
| _version_ | 1797857458295668736 |
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| author | Fabio Trevisan Raphael Tiziani Robert D. Hall Stefano Cesco Tanja Mimmo |
| author_facet | Fabio Trevisan Raphael Tiziani Robert D. Hall Stefano Cesco Tanja Mimmo |
| author_sort | Fabio Trevisan |
| collection | DOAJ |
| description | Abstract Many studies proposed the use of stable carbon isotope ratio (δ13C) 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 δ13C 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 δ13C shifts, highlighting that the plants' δ13C, does not depend solely on photosynthetic carbon isotope fractionation/discrimination (Δ). Hence, the use of δ13C as a predictor is highly discouraged due to its inability to detect and discern different nutrient stresses, especially when combined stresses are present. |
| first_indexed | 2024-04-09T20:57:01Z |
| format | Article |
| id | doaj.art-f7a87c651dd448999ed0680c690e5bfa |
| institution | Directory Open Access Journal |
| issn | 2475-4455 |
| language | English |
| last_indexed | 2024-04-09T20:57:01Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Plant Direct |
| spelling | doaj.art-f7a87c651dd448999ed0680c690e5bfa2023-03-29T15:36:31ZengWileyPlant Direct2475-44552023-03-0173n/an/a10.1002/pld3.487δ13C as a tool for iron and phosphorus deficiency prediction in cropsFabio Trevisan0Raphael Tiziani1Robert D. Hall2Stefano Cesco3Tanja Mimmo4Faculty of Science and Technology Free University of Bolzano Bolzano ItalyFaculty of Science and Technology Free University of Bolzano Bolzano ItalyLaboratory of Plant Physiology Wageningen University & Research Wageningen The NetherlandsFaculty of Science and Technology Free University of Bolzano Bolzano ItalyFaculty of Science and Technology Free University of Bolzano Bolzano ItalyAbstract Many studies proposed the use of stable carbon isotope ratio (δ13C) 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 δ13C 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 δ13C shifts, highlighting that the plants' δ13C, does not depend solely on photosynthetic carbon isotope fractionation/discrimination (Δ). Hence, the use of δ13C as a predictor is highly discouraged due to its inability to detect and discern different nutrient stresses, especially when combined stresses are present.https://doi.org/10.1002/pld3.487barleyC4 and C3 plantscarbon isotope ratiocucumberfractionationmaize |
| spellingShingle | Fabio Trevisan Raphael Tiziani Robert D. Hall Stefano Cesco Tanja Mimmo δ13C as a tool for iron and phosphorus deficiency prediction in crops Plant Direct barley C4 and C3 plants carbon isotope ratio cucumber fractionation maize |
| title | δ13C as a tool for iron and phosphorus deficiency prediction in crops |
| title_full | δ13C as a tool for iron and phosphorus deficiency prediction in crops |
| title_fullStr | δ13C as a tool for iron and phosphorus deficiency prediction in crops |
| title_full_unstemmed | δ13C as a tool for iron and phosphorus deficiency prediction in crops |
| title_short | δ13C as a tool for iron and phosphorus deficiency prediction in crops |
| title_sort | δ13c as a tool for iron and phosphorus deficiency prediction in crops |
| topic | barley C4 and C3 plants carbon isotope ratio cucumber fractionation maize |
| url | https://doi.org/10.1002/pld3.487 |
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