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Physiological Assessment of Water Stress in Potato Using Spectral Information

Water stress in potato (Solanum tuberosum L.) causes considerable losses in yield, and therefore, potato is often considered to be a drought sensitive crop. Identification of water deficit tolerant potato genotypes is an adaptation strategy to mitigate the climatic changes that are occurring in the...

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Autores principales: Romero, Angela P., Alarcón, Andrés, Valbuena, Raúl I., Galeano, Carlos H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611683/
https://www.ncbi.nlm.nih.gov/pubmed/28979277
http://dx.doi.org/10.3389/fpls.2017.01608
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author Romero, Angela P.
Alarcón, Andrés
Valbuena, Raúl I.
Galeano, Carlos H.
author_facet Romero, Angela P.
Alarcón, Andrés
Valbuena, Raúl I.
Galeano, Carlos H.
author_sort Romero, Angela P.
collection PubMed
description Water stress in potato (Solanum tuberosum L.) causes considerable losses in yield, and therefore, potato is often considered to be a drought sensitive crop. Identification of water deficit tolerant potato genotypes is an adaptation strategy to mitigate the climatic changes that are occurring in the Cundiboyacense region in Colombia. Previous studies have evaluated potato plants under water stress conditions using physiological analyses. However, these methodologies require considerable amounts of time and plant material to perform these measurements. This study evaluated and compared the physiological and spectral traits between two genotypes, Diacol Capiro and Perla Negra under two drought levels (10 and 15 days without irrigation from flowering). Reflectance information was used to calculate indexes which were associated with the physiological behavior in plants. The results showed that spectral information was correlated (ρ < 0.0001) with physiological variables such as foliar area (FA), total water content (H(2)Ot), relative growth rate of potato tubers (RGTtub), leaf area ratio (LAR), and foliar area index (AFI). In general, there was a higher concentration of chlorophyll under drought treatments. In addition, Perla Negra under water deficit treatments did not show significant differences in its physiological variables. Therefore, it could be considered a drought tolerant genotype because its physiological performance was not affected under water stress conditions. However, yield was affected in both genotypes after being subject to 15 days of drought. The results suggested that reflectance indexes are a useful and affordable approach for potato phenotyping to select parent and segregant populations in breeding programs.
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spelling pubmed-56116832017-10-04 Physiological Assessment of Water Stress in Potato Using Spectral Information Romero, Angela P. Alarcón, Andrés Valbuena, Raúl I. Galeano, Carlos H. Front Plant Sci Plant Science Water stress in potato (Solanum tuberosum L.) causes considerable losses in yield, and therefore, potato is often considered to be a drought sensitive crop. Identification of water deficit tolerant potato genotypes is an adaptation strategy to mitigate the climatic changes that are occurring in the Cundiboyacense region in Colombia. Previous studies have evaluated potato plants under water stress conditions using physiological analyses. However, these methodologies require considerable amounts of time and plant material to perform these measurements. This study evaluated and compared the physiological and spectral traits between two genotypes, Diacol Capiro and Perla Negra under two drought levels (10 and 15 days without irrigation from flowering). Reflectance information was used to calculate indexes which were associated with the physiological behavior in plants. The results showed that spectral information was correlated (ρ < 0.0001) with physiological variables such as foliar area (FA), total water content (H(2)Ot), relative growth rate of potato tubers (RGTtub), leaf area ratio (LAR), and foliar area index (AFI). In general, there was a higher concentration of chlorophyll under drought treatments. In addition, Perla Negra under water deficit treatments did not show significant differences in its physiological variables. Therefore, it could be considered a drought tolerant genotype because its physiological performance was not affected under water stress conditions. However, yield was affected in both genotypes after being subject to 15 days of drought. The results suggested that reflectance indexes are a useful and affordable approach for potato phenotyping to select parent and segregant populations in breeding programs. Frontiers Media S.A. 2017-09-20 /pmc/articles/PMC5611683/ /pubmed/28979277 http://dx.doi.org/10.3389/fpls.2017.01608 Text en Copyright © 2017 Romero, Alarcón, Valbuena and Galeano. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Romero, Angela P.
Alarcón, Andrés
Valbuena, Raúl I.
Galeano, Carlos H.
Physiological Assessment of Water Stress in Potato Using Spectral Information
title Physiological Assessment of Water Stress in Potato Using Spectral Information
title_full Physiological Assessment of Water Stress in Potato Using Spectral Information
title_fullStr Physiological Assessment of Water Stress in Potato Using Spectral Information
title_full_unstemmed Physiological Assessment of Water Stress in Potato Using Spectral Information
title_short Physiological Assessment of Water Stress in Potato Using Spectral Information
title_sort physiological assessment of water stress in potato using spectral information
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611683/
https://www.ncbi.nlm.nih.gov/pubmed/28979277
http://dx.doi.org/10.3389/fpls.2017.01608
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