Phenomics
"Phenomics" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements ac...
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| Main Authors: | , |
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| Format: | Online |
| Language: | English |
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Frontiers Media SA
2021
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| Subjects: | |
| Online Access: | 32005 |
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| _version_ | 1869514255745679360 |
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| author | Marcos Egea-Cortines John Doonan |
| author_browse | John Doonan Marcos Egea-Cortines |
| author_facet | Marcos Egea-Cortines John Doonan |
| author_sort | Marcos Egea-Cortines |
| collection | Directory of Open Access Books |
| description | "Phenomics" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements across time to follow phenotypes as a function of developmental time. These longitudinal traits promise new insights into the ways in which crops respond to their environment including how they are managed. To maximize the benefit, these approaches should ideally be scalable so that large populations in multiple environments can be sampled repeatedly at reasonable cost. Thus, the development and validation of non-contact sensing technologies remains an area of intensive activity that ranges from Remote Sensing of crops within the landscape to high resolution at the subcellular level. Integration of this potentially highly dimensional data and linking it with variation at the genetic level is an ongoing challenge that promises to release the potential of both established and under-exploited crops. |
| format | Online |
| id | doab-20.500.12854ir-56153 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-561532024-04-05T17:31:11Z Phenomics Marcos Egea-Cortines John Doonan QK1-989 Q1-390 RGB data Multispectral imaging RGB image analysis artificial vision Phenomics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences "Phenomics" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements across time to follow phenotypes as a function of developmental time. These longitudinal traits promise new insights into the ways in which crops respond to their environment including how they are managed. To maximize the benefit, these approaches should ideally be scalable so that large populations in multiple environments can be sampled repeatedly at reasonable cost. Thus, the development and validation of non-contact sensing technologies remains an area of intensive activity that ranges from Remote Sensing of crops within the landscape to high resolution at the subcellular level. Integration of this potentially highly dimensional data and linking it with variation at the genetic level is an ongoing challenge that promises to release the potential of both established and under-exploited crops. 2021-02-11T22:47:14Z 2021-02-11T22:47:14Z 2019-01-23 14:53:43 2018 book 32005 16648714 9782889456079 https://directory.doabooks.org/handle/20.500.12854/56153 eng Frontiers Research Topics image/jpeg Attribution 4.0 International https://www.frontiersin.org/research-topics/4419/phenomics Frontiers Media SA 10.3389/978-2-88945-607-9 10.3389/978-2-88945-607-9 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889456079 222 open access |
| spellingShingle | QK1-989 Q1-390 RGB data Multispectral imaging RGB image analysis artificial vision Phenomics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences Marcos Egea-Cortines John Doonan Phenomics |
| title | Phenomics |
| title_full | Phenomics |
| title_fullStr | Phenomics |
| title_full_unstemmed | Phenomics |
| title_short | Phenomics |
| title_sort | phenomics |
| topic | QK1-989 Q1-390 RGB data Multispectral imaging RGB image analysis artificial vision Phenomics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences |
| topic_facet | QK1-989 Q1-390 RGB data Multispectral imaging RGB image analysis artificial vision Phenomics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences |
| url | 32005 |
| work_keys_str_mv | AT marcosegeacortines phenomics AT johndoonan phenomics |