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Image-Based High-Throughput Phenotyping in Horticultural Crops

Plant phenotyping is the primary task of any plant breeding program, and accurate measurement of plant traits is essential to select genotypes with better quality, high yield, and climate resilience. The majority of currently used phenotyping techniques are destructive and time-consuming. Recently,...

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Autores principales: Abebe, Alebel Mekuriaw, Kim, Younguk, Kim, Jaeyoung, Kim, Song Lim, Baek, Jeongho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222289/
https://www.ncbi.nlm.nih.gov/pubmed/37653978
http://dx.doi.org/10.3390/plants12102061
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author Abebe, Alebel Mekuriaw
Kim, Younguk
Kim, Jaeyoung
Kim, Song Lim
Baek, Jeongho
author_facet Abebe, Alebel Mekuriaw
Kim, Younguk
Kim, Jaeyoung
Kim, Song Lim
Baek, Jeongho
author_sort Abebe, Alebel Mekuriaw
collection PubMed
description Plant phenotyping is the primary task of any plant breeding program, and accurate measurement of plant traits is essential to select genotypes with better quality, high yield, and climate resilience. The majority of currently used phenotyping techniques are destructive and time-consuming. Recently, the development of various sensors and imaging platforms for rapid and efficient quantitative measurement of plant traits has become the mainstream approach in plant phenotyping studies. Here, we reviewed the trends of image-based high-throughput phenotyping methods applied to horticultural crops. High-throughput phenotyping is carried out using various types of imaging platforms developed for indoor or field conditions. We highlighted the applications of different imaging platforms in the horticulture sector with their advantages and limitations. Furthermore, the principles and applications of commonly used imaging techniques, visible light (RGB) imaging, thermal imaging, chlorophyll fluorescence, hyperspectral imaging, and tomographic imaging for high-throughput plant phenotyping, are discussed. High-throughput phenotyping has been widely used for phenotyping various horticultural traits, which can be morphological, physiological, biochemical, yield, biotic, and abiotic stress responses. Moreover, the ability of high-throughput phenotyping with the help of various optical sensors will lead to the discovery of new phenotypic traits which need to be explored in the future. We summarized the applications of image analysis for the quantitative evaluation of various traits with several examples of horticultural crops in the literature. Finally, we summarized the current trend of high-throughput phenotyping in horticultural crops and highlighted future perspectives.
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spelling pubmed-102222892023-05-28 Image-Based High-Throughput Phenotyping in Horticultural Crops Abebe, Alebel Mekuriaw Kim, Younguk Kim, Jaeyoung Kim, Song Lim Baek, Jeongho Plants (Basel) Review Plant phenotyping is the primary task of any plant breeding program, and accurate measurement of plant traits is essential to select genotypes with better quality, high yield, and climate resilience. The majority of currently used phenotyping techniques are destructive and time-consuming. Recently, the development of various sensors and imaging platforms for rapid and efficient quantitative measurement of plant traits has become the mainstream approach in plant phenotyping studies. Here, we reviewed the trends of image-based high-throughput phenotyping methods applied to horticultural crops. High-throughput phenotyping is carried out using various types of imaging platforms developed for indoor or field conditions. We highlighted the applications of different imaging platforms in the horticulture sector with their advantages and limitations. Furthermore, the principles and applications of commonly used imaging techniques, visible light (RGB) imaging, thermal imaging, chlorophyll fluorescence, hyperspectral imaging, and tomographic imaging for high-throughput plant phenotyping, are discussed. High-throughput phenotyping has been widely used for phenotyping various horticultural traits, which can be morphological, physiological, biochemical, yield, biotic, and abiotic stress responses. Moreover, the ability of high-throughput phenotyping with the help of various optical sensors will lead to the discovery of new phenotypic traits which need to be explored in the future. We summarized the applications of image analysis for the quantitative evaluation of various traits with several examples of horticultural crops in the literature. Finally, we summarized the current trend of high-throughput phenotyping in horticultural crops and highlighted future perspectives. MDPI 2023-05-22 /pmc/articles/PMC10222289/ /pubmed/37653978 http://dx.doi.org/10.3390/plants12102061 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Abebe, Alebel Mekuriaw
Kim, Younguk
Kim, Jaeyoung
Kim, Song Lim
Baek, Jeongho
Image-Based High-Throughput Phenotyping in Horticultural Crops
title Image-Based High-Throughput Phenotyping in Horticultural Crops
title_full Image-Based High-Throughput Phenotyping in Horticultural Crops
title_fullStr Image-Based High-Throughput Phenotyping in Horticultural Crops
title_full_unstemmed Image-Based High-Throughput Phenotyping in Horticultural Crops
title_short Image-Based High-Throughput Phenotyping in Horticultural Crops
title_sort image-based high-throughput phenotyping in horticultural crops
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222289/
https://www.ncbi.nlm.nih.gov/pubmed/37653978
http://dx.doi.org/10.3390/plants12102061
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