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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...

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Autores principales: Huang, Wen-Dar, Lin, Kuan-Hung, Hsu, Ming-Huang, Huang, Meng-Yuan, Yang, Zhi-Wei, Chao, Pi-Yu, Yang, Chi-Ming
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
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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.
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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
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