Cargando…
Eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (Ipomoea batatas L.) leaves
BACKGROUND: Spectral reflectance was evaluated for its usefulness as a nondestructive estimation of chlorophyll (Chl) content from three cultivars of sweet potato (Ipomoea batatas L.) with green, yellow, and purple leaves grown in a greenhouse for 22 days. While the green and yellow leaves contain v...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432896/ https://www.ncbi.nlm.nih.gov/pubmed/28510919 http://dx.doi.org/10.1186/1999-3110-55-11 |
_version_ | 1783236730622574592 |
---|---|
author | Huang, Wen-Dar Lin, Kuan-Hung Hsu, Ming-Huang Huang, Meng-Yuan Yang, Zhi-Wei Chao, Pi-Yu Yang, Chi-Ming |
author_facet | Huang, Wen-Dar Lin, Kuan-Hung Hsu, Ming-Huang Huang, Meng-Yuan Yang, Zhi-Wei Chao, Pi-Yu Yang, Chi-Ming |
author_sort | Huang, Wen-Dar |
collection | PubMed |
description | BACKGROUND: Spectral reflectance was evaluated for its usefulness as a nondestructive estimation of chlorophyll (Chl) content from three cultivars of sweet potato (Ipomoea batatas L.) with green, yellow, and purple leaves grown in a greenhouse for 22 days. While the green and yellow leaves contain variant amount of photosynthetic pigments without or with little level of anthocyanins, the purple leaves, except large amount of photosynthetic pigments, have high quantity of anthocyanins. RESULTS: For green and yellow leaves, the reciprocal reflectance (R(-1)) and derived indices incorporating near infrared (NIR) reflectance, [(R(λ))(-1) - (R(NIR))(-1)] and [(R(NIR)/R(λ)) - 1], in the green and red edge spectral ranges were shown to be strongly correlated (r(2) = 0.8 ~ 0.9) with the chlorophyll content. The root mean square error (RMSE) of the chlorophyll content estimation using these indices was < 50 mg m(-2). However, when purple leaves containing high levels of anthocyanins were included in the sample, R(-1) in the green spectral range and the above-mentioned indices displayed much weaker correlations with the chlorophyll content. The RMSE of chlorophyll estimation using these indices in the green spectral range sharply increased to > 110 mg m(-2) when the sample included purple leaves. The new index, [1 - (R(λ)/R(NIR))], was therefore inferred and developed to eliminate the distorting effect of anthocyanins on chlorophyll content estimation using reflectance in the green spectral range. For leaves with high levels of anthocyanins, the correlation between [1 - (R(λ)/R(NIR))] and the chlorophyll content remained strong (r(2) = 0.8 ~ 0.9) in the green spectral range, and the RMSE was minimal. CONCLUSION: The reflectance index, [1 - (R(λ)/R(NIR))], therefore represents a new and useful parameter for estimating leaf chlorophyll content in leaves with any level of anthocyanins such as purple rice leaf. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1999-3110-55-11) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5432896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-54328962017-05-31 Eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (Ipomoea batatas L.) leaves Huang, Wen-Dar Lin, Kuan-Hung Hsu, Ming-Huang Huang, Meng-Yuan Yang, Zhi-Wei Chao, Pi-Yu Yang, Chi-Ming Bot Stud Research BACKGROUND: Spectral reflectance was evaluated for its usefulness as a nondestructive estimation of chlorophyll (Chl) content from three cultivars of sweet potato (Ipomoea batatas L.) with green, yellow, and purple leaves grown in a greenhouse for 22 days. While the green and yellow leaves contain variant amount of photosynthetic pigments without or with little level of anthocyanins, the purple leaves, except large amount of photosynthetic pigments, have high quantity of anthocyanins. RESULTS: For green and yellow leaves, the reciprocal reflectance (R(-1)) and derived indices incorporating near infrared (NIR) reflectance, [(R(λ))(-1) - (R(NIR))(-1)] and [(R(NIR)/R(λ)) - 1], in the green and red edge spectral ranges were shown to be strongly correlated (r(2) = 0.8 ~ 0.9) with the chlorophyll content. The root mean square error (RMSE) of the chlorophyll content estimation using these indices was < 50 mg m(-2). However, when purple leaves containing high levels of anthocyanins were included in the sample, R(-1) in the green spectral range and the above-mentioned indices displayed much weaker correlations with the chlorophyll content. The RMSE of chlorophyll estimation using these indices in the green spectral range sharply increased to > 110 mg m(-2) when the sample included purple leaves. The new index, [1 - (R(λ)/R(NIR))], was therefore inferred and developed to eliminate the distorting effect of anthocyanins on chlorophyll content estimation using reflectance in the green spectral range. For leaves with high levels of anthocyanins, the correlation between [1 - (R(λ)/R(NIR))] and the chlorophyll content remained strong (r(2) = 0.8 ~ 0.9) in the green spectral range, and the RMSE was minimal. CONCLUSION: The reflectance index, [1 - (R(λ)/R(NIR))], therefore represents a new and useful parameter for estimating leaf chlorophyll content in leaves with any level of anthocyanins such as purple rice leaf. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1999-3110-55-11) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2014-01-30 /pmc/articles/PMC5432896/ /pubmed/28510919 http://dx.doi.org/10.1186/1999-3110-55-11 Text en © Huang et al.; licensee Springer. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Research Huang, Wen-Dar Lin, Kuan-Hung Hsu, Ming-Huang Huang, Meng-Yuan Yang, Zhi-Wei Chao, Pi-Yu Yang, Chi-Ming Eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (Ipomoea batatas L.) leaves |
title | Eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (Ipomoea batatas L.) leaves |
title_full | Eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (Ipomoea batatas L.) leaves |
title_fullStr | Eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (Ipomoea batatas L.) leaves |
title_full_unstemmed | Eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (Ipomoea batatas L.) leaves |
title_short | Eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (Ipomoea batatas L.) leaves |
title_sort | eliminating interference by anthocyanin in chlorophyll estimation of sweet potato (ipomoea batatas l.) leaves |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432896/ https://www.ncbi.nlm.nih.gov/pubmed/28510919 http://dx.doi.org/10.1186/1999-3110-55-11 |
work_keys_str_mv | AT huangwendar eliminatinginterferencebyanthocyanininchlorophyllestimationofsweetpotatoipomoeabatataslleaves AT linkuanhung eliminatinginterferencebyanthocyanininchlorophyllestimationofsweetpotatoipomoeabatataslleaves AT hsuminghuang eliminatinginterferencebyanthocyanininchlorophyllestimationofsweetpotatoipomoeabatataslleaves AT huangmengyuan eliminatinginterferencebyanthocyanininchlorophyllestimationofsweetpotatoipomoeabatataslleaves AT yangzhiwei eliminatinginterferencebyanthocyanininchlorophyllestimationofsweetpotatoipomoeabatataslleaves AT chaopiyu eliminatinginterferencebyanthocyanininchlorophyllestimationofsweetpotatoipomoeabatataslleaves AT yangchiming eliminatinginterferencebyanthocyanininchlorophyllestimationofsweetpotatoipomoeabatataslleaves |