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Phenotypic techniques and applications in fruit trees: a review
Phenotypic information is of great significance for irrigation management, disease prevention and yield improvement. Interest in the evaluation of phenotypes has grown with the goal of enhancing the quality of fruit trees. Traditional techniques for monitoring fruit tree phenotypes are destructive a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412798/ https://www.ncbi.nlm.nih.gov/pubmed/32782454 http://dx.doi.org/10.1186/s13007-020-00649-7 |
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author | Huang, Yirui Ren, Zhenhui Li, Dongming Liu, Xuan |
author_facet | Huang, Yirui Ren, Zhenhui Li, Dongming Liu, Xuan |
author_sort | Huang, Yirui |
collection | PubMed |
description | Phenotypic information is of great significance for irrigation management, disease prevention and yield improvement. Interest in the evaluation of phenotypes has grown with the goal of enhancing the quality of fruit trees. Traditional techniques for monitoring fruit tree phenotypes are destructive and time-consuming. The development of advanced technology is the key to rapid and non-destructive detection. This review describes several techniques applied to fruit tree phenotypic research in the field, including visible and near-infrared (VIS–NIR) spectroscopy, digital photography, multispectral and hyperspectral imaging, thermal imaging, and light detection and ranging (LiDAR). The applications of these technologies are summarized in terms of architecture parameters, pigment and nutrient contents, water stress, biochemical parameters of fruits and disease detection. These techniques have been shown to play important roles in fruit tree phenotypic research. |
format | Online Article Text |
id | pubmed-7412798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74127982020-08-10 Phenotypic techniques and applications in fruit trees: a review Huang, Yirui Ren, Zhenhui Li, Dongming Liu, Xuan Plant Methods Review Phenotypic information is of great significance for irrigation management, disease prevention and yield improvement. Interest in the evaluation of phenotypes has grown with the goal of enhancing the quality of fruit trees. Traditional techniques for monitoring fruit tree phenotypes are destructive and time-consuming. The development of advanced technology is the key to rapid and non-destructive detection. This review describes several techniques applied to fruit tree phenotypic research in the field, including visible and near-infrared (VIS–NIR) spectroscopy, digital photography, multispectral and hyperspectral imaging, thermal imaging, and light detection and ranging (LiDAR). The applications of these technologies are summarized in terms of architecture parameters, pigment and nutrient contents, water stress, biochemical parameters of fruits and disease detection. These techniques have been shown to play important roles in fruit tree phenotypic research. BioMed Central 2020-08-06 /pmc/articles/PMC7412798/ /pubmed/32782454 http://dx.doi.org/10.1186/s13007-020-00649-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Huang, Yirui Ren, Zhenhui Li, Dongming Liu, Xuan Phenotypic techniques and applications in fruit trees: a review |
title | Phenotypic techniques and applications in fruit trees: a review |
title_full | Phenotypic techniques and applications in fruit trees: a review |
title_fullStr | Phenotypic techniques and applications in fruit trees: a review |
title_full_unstemmed | Phenotypic techniques and applications in fruit trees: a review |
title_short | Phenotypic techniques and applications in fruit trees: a review |
title_sort | phenotypic techniques and applications in fruit trees: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412798/ https://www.ncbi.nlm.nih.gov/pubmed/32782454 http://dx.doi.org/10.1186/s13007-020-00649-7 |
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