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### Phenotyping | ||
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<!-- Ajay --> | ||
Phenotyping is fundamental to plant breeding, providing the accurate, high-quality data needed for downstream analyses and decisions. It goes beyond simple data collection, requiring a thorough understanding of research questions and strategic data gathering to ensure successful outcomes. Effective phenotyping can make or break a research project, underscoring the importance of mastering its techniques. The BrAPI specification supports phenotypic data throughout the entire phenomics and breeding pipeline, from initial collection and standardization to analysis, publication and archiving. The community has developed BrAPI-compatible tools to facilitate early data standardization, efficient storage, and curation of phenotypic data and trait metadata. Additionally, there are ongoing efforts to create tools for managing images and other high-throughput phenotyping techniques, further enhancing the precision and efficiency of plant breeding research. | ||
<!-- Ajay and Trevor --> | ||
Phenotyping is fundamental to plant breeding and genetics research, providing the accurate, high-quality data needed for downstream analyses and selection decisions. | ||
Effective phenotyping requires a thorough understanding of both biological research questions and operational data gathering to ensure successful outcomes. | ||
Collected data, subsequent analyses, and data visualizations all impact and shape downstream experiments. | ||
The BrAPI specification supports phenotypic data throughout the entire breeding pipeline, including collection, analyses, publication, and archiving. | ||
The BrAPI community has developed several BrAPI-compatible tools to facilitate data standardization, efficient storage, and curation of phenotypic data and trait metadata. | ||
Ongoing development efforts are creating tools to manage images and other high-throughput phenotypic data sources, further enhancing the precision and efficiency of plant breeding research. | ||
By supporting the accurate and efficient collection and storage of phenotypic data, BrAPI-compatible tools simplify the conversion of phenotypes into insights that are necessary to help digitize and boost modern breeding and genetics research programs. |
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#### Field Book | ||
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<!-- Trevor and Chaney --> | ||
Phenotypic data collection underpins scientific crop research and plant breeding. Knowledge gained from collected data and its analysis, alongside data visualizations, inform further phenotypic trials and ideally support research hypotheses. The importance of accuracy and efficiency in the collection of this data as well as the infrastructure to facilitate the flow of data from the field to a knowledge base cannot be underestimated. | ||
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[Field Book](fieldbook.phenoapps.org/) [@doi:10.2135/cropsci2013.08.0579] is an android based mobile app for collecting field data. Historically, gathering data in the field was done with pen and paper, or perhaps some version of a digital spreadsheet. The abundance and prevalence of smart phones has allowed Field Book to enhance data collection. Field Book can create well-formed digital observation records from the moment they are taken. This can improve the efficiency of data collection and reduce human error. | ||
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In 2018, BrAPI was introduced into Field Book, allowing for the automated the flow of data from the mobile app into a central, BrAPI compatible, database server. This workflow allows data collection and storage to be expedited, removing the need of the user to export and transfer data files manually. Since Field Book’s adoption of BrAPI, many community servers have been integrated to simplify data storage. In this work flow, data is collected and stored completely digitally with little-to-no human involvement. | ||
Data from plant breeding and genetics experiments has traditionally been collected using pen and paper, but this approach often results in transcription errors and delayed analysis. | ||
[Field Book](fieldbook.phenoapps.org/) [@doi:10.2135/cropsci2013.08.0579], a highly-customizable Android app, was developed to help scientists digitize and organize their phenotypic data as measurements are collected. | ||
This effectively improves data collection speed, reduces errors, and enables larger and more robust breeding populations and data sets. | ||
Field Book has added support for BrAPI to streamline data transfer to and from BrAPI-compatible servers. | ||
Removing the need to manually transfer data files simplifies data exchange between these systems and reduces the opportunities for human error and data loss. |
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orcid: 0000-0002-4126-0859 | ||
email: [email protected] | ||
affiliations: | ||
- Information and Computational Sciences Department, The James Hutton Institute, Dundee, Scotland | ||
- The James Hutton Institute | ||
- name: Lukas A. Mueller | ||
initials: LAM | ||
github: lukasmueller | ||
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orcid: 0000-0001-5659-247X | ||
email: [email protected] | ||
affiliations: | ||
- Information and Computational Sciences Department, The James Hutton Institute, Dundee, Scotland | ||
- The James Hutton Institute | ||
- name: Trevor Rife | ||
initials: TR | ||
github: trife | ||
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orcid: 0000-0002-0202-1150 | ||
email: [email protected] | ||
affiliations: | ||
- Information and Computational Sciences Department, The James Hutton Institute, Dundee, Scotland | ||
- The James Hutton Institute | ||
- name: Becky Smith | ||
initials: BS | ||
github: Batbaby91 | ||
orcid: 0000-0002-8968-3383 | ||
email: [email protected] | ||
affiliations: | ||
- Information and Computational Sciences Department, The James Hutton Institute, Dundee, Scotland | ||
- The James Hutton Institute | ||
- name: Nahuel Soldevilla | ||
initials: NS | ||
email: [email protected] | ||
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affiliations: | ||
- Cornell University | ||
- name: Chaney Courtney | ||
github: chaneylc | ||
initials: CC | ||
email: [email protected] | ||
github: chaneylc | ||
orcid: 0009-0004-7273-1280 | ||
affiliations: | ||
- Clemson University | ||
- name: Mariano Crimi | ||
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@@ -283,9 +284,9 @@ community: | |
- The James Hutton Institute | ||
- name: Trevor Rife | ||
initials: TR | ||
email: [email protected] | ||
github: trife | ||
orcid: 0000-0002-5974-6523 | ||
email: [email protected] | ||
affiliations: | ||
- Clemson University | ||
- name: Mathieu Rouard | ||
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