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The field phenotyping platform's next darling: Dicotyledons
The genetic information and functional properties of plants have been further identified with the completion of the whole-genome sequencing of numerous crop species and the rapid development of high-throughput phenotyping technologies, laying a suitable foundation for advanced precision agriculture...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449727/ https://www.ncbi.nlm.nih.gov/pubmed/36092402 http://dx.doi.org/10.3389/fpls.2022.935748 |
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author | Li, Xiuni Xu, Xiangyao Chen, Menggen Xu, Mei Wang, Wenyan Liu, Chunyan Yu, Liang Liu, Weiguo Yang, Wenyu |
author_facet | Li, Xiuni Xu, Xiangyao Chen, Menggen Xu, Mei Wang, Wenyan Liu, Chunyan Yu, Liang Liu, Weiguo Yang, Wenyu |
author_sort | Li, Xiuni |
collection | PubMed |
description | The genetic information and functional properties of plants have been further identified with the completion of the whole-genome sequencing of numerous crop species and the rapid development of high-throughput phenotyping technologies, laying a suitable foundation for advanced precision agriculture and enhanced genetic gains. Collecting phenotypic data from dicotyledonous crops in the field has been identified as a key factor in the collection of large-scale phenotypic data of crops. On the one hand, dicotyledonous plants account for 4/5 of all angiosperm species and play a critical role in agriculture. However, their morphology is complex, and an abundance of dicot phenotypic information is available, which is critical for the analysis of high-throughput phenotypic data in the field. As a result, the focus of this paper is on the major advancements in ground-based, air-based, and space-based field phenotyping platforms over the last few decades and the research progress in the high-throughput phenotyping of dicotyledonous field crop plants in terms of morphological indicators, physiological and biochemical indicators, biotic/abiotic stress indicators, and yield indicators. Finally, the future development of dicots in the field is explored from the perspectives of identifying new unified phenotypic criteria, developing a high-performance infrastructure platform, creating a phenotypic big data knowledge map, and merging the data with those of multiomic techniques. |
format | Online Article Text |
id | pubmed-9449727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94497272022-09-08 The field phenotyping platform's next darling: Dicotyledons Li, Xiuni Xu, Xiangyao Chen, Menggen Xu, Mei Wang, Wenyan Liu, Chunyan Yu, Liang Liu, Weiguo Yang, Wenyu Front Plant Sci Plant Science The genetic information and functional properties of plants have been further identified with the completion of the whole-genome sequencing of numerous crop species and the rapid development of high-throughput phenotyping technologies, laying a suitable foundation for advanced precision agriculture and enhanced genetic gains. Collecting phenotypic data from dicotyledonous crops in the field has been identified as a key factor in the collection of large-scale phenotypic data of crops. On the one hand, dicotyledonous plants account for 4/5 of all angiosperm species and play a critical role in agriculture. However, their morphology is complex, and an abundance of dicot phenotypic information is available, which is critical for the analysis of high-throughput phenotypic data in the field. As a result, the focus of this paper is on the major advancements in ground-based, air-based, and space-based field phenotyping platforms over the last few decades and the research progress in the high-throughput phenotyping of dicotyledonous field crop plants in terms of morphological indicators, physiological and biochemical indicators, biotic/abiotic stress indicators, and yield indicators. Finally, the future development of dicots in the field is explored from the perspectives of identifying new unified phenotypic criteria, developing a high-performance infrastructure platform, creating a phenotypic big data knowledge map, and merging the data with those of multiomic techniques. Frontiers Media S.A. 2022-08-24 /pmc/articles/PMC9449727/ /pubmed/36092402 http://dx.doi.org/10.3389/fpls.2022.935748 Text en Copyright © 2022 Li, Xu, Chen, Xu, Wang, Liu, Yu, Liu and Yang. https://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) and the copyright owner(s) 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 Li, Xiuni Xu, Xiangyao Chen, Menggen Xu, Mei Wang, Wenyan Liu, Chunyan Yu, Liang Liu, Weiguo Yang, Wenyu The field phenotyping platform's next darling: Dicotyledons |
title | The field phenotyping platform's next darling: Dicotyledons |
title_full | The field phenotyping platform's next darling: Dicotyledons |
title_fullStr | The field phenotyping platform's next darling: Dicotyledons |
title_full_unstemmed | The field phenotyping platform's next darling: Dicotyledons |
title_short | The field phenotyping platform's next darling: Dicotyledons |
title_sort | field phenotyping platform's next darling: dicotyledons |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449727/ https://www.ncbi.nlm.nih.gov/pubmed/36092402 http://dx.doi.org/10.3389/fpls.2022.935748 |
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