Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.14/41855 |
Resumo: | Aims: The excessive use of fertilizers is a problem in current agricultural systems, and sustainable farming practices, including precision agriculture, demand the use of new technologies to manage plant stress at an early stage. To sustainably manage iron (Fe) fertilization in agricultural fields, it is urgent to develop early detection methods for Fe deficiency, and linked oxidative stress, in plant leaves. Herein, the potential of using Fourier Transform Infrared (FTIR) spectroscopy for Fe deficiency and oxidative stress detection in soybean plants was evaluated.Methods: After a period of two weeks of hydroponic growth under optimum conditions, soybean plants were grown under Fe-sufficient (Fe+) and Fe-deficient (Fe–) hydroponic conditions for four weeks. Sampling occurred every week, infrared (IR) spectra were acquired and biological parameters (total chlorophyll, anthocyanins and carotenoids concentration, and ABTS and DPPH free radical scavenging ability), mineral concentrations, and the Fe-related genes’ expression - FRO2- and IRT1-like - were evaluated. Results: Two weeks after imposing Fe deficiency, plants displayed decreased antioxidant activity, and increased expression levels of FRO2- and IRT1-like genes. Regarding the PLS models developed to estimate the biological parameters and mineral concentrations, satisfactory calibration models were globally obtained with R2C from 0.93 to 0.99. FTIR spectroscopy was also able to discriminate between Fe + and Fe– plants from an early stage of stress induction with 96.3% of correct assignments. Conclusion: High reproducibility was observed among the different spectra of each sample and FTIR spectroscopy may be an early, non-invasive, cheap, and environmentally friendly technique for IDC management. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experimentChemometricsFerric reductase oxidaseIron regulated transporterLegumesOxidative stressPhotosynthetic pigmentsAims: The excessive use of fertilizers is a problem in current agricultural systems, and sustainable farming practices, including precision agriculture, demand the use of new technologies to manage plant stress at an early stage. To sustainably manage iron (Fe) fertilization in agricultural fields, it is urgent to develop early detection methods for Fe deficiency, and linked oxidative stress, in plant leaves. Herein, the potential of using Fourier Transform Infrared (FTIR) spectroscopy for Fe deficiency and oxidative stress detection in soybean plants was evaluated.Methods: After a period of two weeks of hydroponic growth under optimum conditions, soybean plants were grown under Fe-sufficient (Fe+) and Fe-deficient (Fe–) hydroponic conditions for four weeks. Sampling occurred every week, infrared (IR) spectra were acquired and biological parameters (total chlorophyll, anthocyanins and carotenoids concentration, and ABTS and DPPH free radical scavenging ability), mineral concentrations, and the Fe-related genes’ expression - FRO2- and IRT1-like - were evaluated. Results: Two weeks after imposing Fe deficiency, plants displayed decreased antioxidant activity, and increased expression levels of FRO2- and IRT1-like genes. Regarding the PLS models developed to estimate the biological parameters and mineral concentrations, satisfactory calibration models were globally obtained with R2C from 0.93 to 0.99. FTIR spectroscopy was also able to discriminate between Fe + and Fe– plants from an early stage of stress induction with 96.3% of correct assignments. Conclusion: High reproducibility was observed among the different spectra of each sample and FTIR spectroscopy may be an early, non-invasive, cheap, and environmentally friendly technique for IDC management.Veritati - Repositório Institucional da Universidade Católica PortuguesaSantos, Carla S.Sousa, ClaraBagheri, MaryamPinho, SimãoVasconcelos, Marta2023-07-24T16:37:02Z2023-07-122023-07-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/41855eng0032-079X10.1007/s11104-023-06143-y85164574695001024121100003info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-01T23:52:39Zoai:repositorio.ucp.pt:10400.14/41855Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:09:29.650431Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment |
title |
Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment |
spellingShingle |
Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment Santos, Carla S. Chemometrics Ferric reductase oxidase Iron regulated transporter Legumes Oxidative stress Photosynthetic pigments |
title_short |
Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment |
title_full |
Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment |
title_fullStr |
Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment |
title_full_unstemmed |
Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment |
title_sort |
Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment |
author |
Santos, Carla S. |
author_facet |
Santos, Carla S. Sousa, Clara Bagheri, Maryam Pinho, Simão Vasconcelos, Marta |
author_role |
author |
author2 |
Sousa, Clara Bagheri, Maryam Pinho, Simão Vasconcelos, Marta |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Veritati - Repositório Institucional da Universidade Católica Portuguesa |
dc.contributor.author.fl_str_mv |
Santos, Carla S. Sousa, Clara Bagheri, Maryam Pinho, Simão Vasconcelos, Marta |
dc.subject.por.fl_str_mv |
Chemometrics Ferric reductase oxidase Iron regulated transporter Legumes Oxidative stress Photosynthetic pigments |
topic |
Chemometrics Ferric reductase oxidase Iron regulated transporter Legumes Oxidative stress Photosynthetic pigments |
description |
Aims: The excessive use of fertilizers is a problem in current agricultural systems, and sustainable farming practices, including precision agriculture, demand the use of new technologies to manage plant stress at an early stage. To sustainably manage iron (Fe) fertilization in agricultural fields, it is urgent to develop early detection methods for Fe deficiency, and linked oxidative stress, in plant leaves. Herein, the potential of using Fourier Transform Infrared (FTIR) spectroscopy for Fe deficiency and oxidative stress detection in soybean plants was evaluated.Methods: After a period of two weeks of hydroponic growth under optimum conditions, soybean plants were grown under Fe-sufficient (Fe+) and Fe-deficient (Fe–) hydroponic conditions for four weeks. Sampling occurred every week, infrared (IR) spectra were acquired and biological parameters (total chlorophyll, anthocyanins and carotenoids concentration, and ABTS and DPPH free radical scavenging ability), mineral concentrations, and the Fe-related genes’ expression - FRO2- and IRT1-like - were evaluated. Results: Two weeks after imposing Fe deficiency, plants displayed decreased antioxidant activity, and increased expression levels of FRO2- and IRT1-like genes. Regarding the PLS models developed to estimate the biological parameters and mineral concentrations, satisfactory calibration models were globally obtained with R2C from 0.93 to 0.99. FTIR spectroscopy was also able to discriminate between Fe + and Fe– plants from an early stage of stress induction with 96.3% of correct assignments. Conclusion: High reproducibility was observed among the different spectra of each sample and FTIR spectroscopy may be an early, non-invasive, cheap, and environmentally friendly technique for IDC management. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-24T16:37:02Z 2023-07-12 2023-07-12T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.14/41855 |
url |
http://hdl.handle.net/10400.14/41855 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0032-079X 10.1007/s11104-023-06143-y 85164574695 001024121100003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133343325880320 |