Predicting iron deficiency and oxidative stress in glycine max through Fourier transform infrared spectroscopy in a time-course experiment

Detalhes bibliográficos
Autor(a) principal: Santos, Carla S.
Data de Publicação: 2023
Outros Autores: Sousa, Clara, Bagheri, Maryam, Pinho, Simão, Vasconcelos, Marta
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.
id RCAP_9fa5af9e0fd8431254ca6dd605850067
oai_identifier_str oai:repositorio.ucp.pt:10400.14/41855
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling 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
instname_str 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
_version_ 1799133343325880320