Strickler SR, Powell AF, Mabry ME, An H, Mirzaei M, York T, Holland CK, Kumar P, Erb M, et al. Independent evolution of ancestral and novel defenses in a genus of toxic plants ( Erysimum , Brassicaceae). eLife. 2020;9(April). 10.7554/eLife.51712. Associated Data Data Availability Statement All codes are available from Github ( https://github.com/solgenomics ) and docker hub ( https://hub.docker.com/r/breedbase/breedbase# ).
Open resource ↗solgenomics · lines:411-414Unverified paper record
Breedbase: a digital ecosystem for modern plant breeding.
G3 (Bethesda, Md.) · 1 Jul 2022 · 10.1093/g3journal/jkac078
Abstract
Modern breeding methods integrate next-generation sequencing and phenomics to identify plants with the best characteristics and greatest genetic merit for use as parents in subsequent breeding cycles to ultimately create improved cultivars able to sustain high adoption rates by farmers. This data-driven approach hinges on strong foundations in data management, quality control, and analytics. Of crucial importance is a central database able to (1) track breeding materials, (2) store experimental evaluations, (3) record phenotypic measurements using consistent ontologies, (4) store genotypic information, and (5) implement algorithms for analysis, prediction, and selection decisions. Because of the complexity of the breeding process, breeding databases also tend to be complex, difficult, and expensive to implement and maintain. Here, we present a breeding database system, Breedbase (https://breedbase.org/, last accessed 4/18/2022). Originally initiated as Cassavabase (https://cassavabase.org/, last accessed 4/18/2022) with the NextGen Cassava project (https://www.nextgencassava.org/, last accessed 4/18/2022), and later developed into a crop-agnostic system, it is presently used by dozens of different crops and projects. The system is web based and is available as open source software. It is available on GitHub (https://github.com/solgenomics/, last accessed 4/18/2022) and packaged in a Docker image for deployment (https://hub.docker.com/u/breedbase, last accessed 4/18/2022). The Breedbase system enables breeding programs to better manage and leverage their data for decision making within a fully integrated digital ecosystem.
Plant phenotyping relevance
Breedbaseは植物育種データベースおよびオープンソースのソフトウェア基盤で、表現型測定の記録・管理を中核機能として提供するため、表現型研究の方法基盤として含める。
abstractHere, we present a breeding database system, Breedbase
abstractrecord phenotypic measurements using consistent ontologies
abstractThe system is web based and is available as open source software.
Code and data availability
This is a software/database description paper for Breedbase, not a phenotyping study with its own measurements. The qualifying paper-specific assets are the authors' open-source codebase and Docker deployment image, explicitly stated in the Data Availability Statement. Cassavabase and other instance URLs are the system
M, York T, Holland CK, Kumar P, Erb M, et al. Independent evolution of ancestral and novel defenses in a genus of toxic plants ( Erysimum , Brassicaceae). eLife. 2020;9(April). 10.7554/eLife.51712. Associated Data Data Availability Statement All codes are available from Github ( https://github.com/solgenomics ) and docker hub ( https://hub.docker.com/r/breedbase/breedbase# ).
Open resource ↗breedbase/breedbase · lines:411-414This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.