• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过使用由作物实践社区开发的作物本体进行数据注释,将有助于综合育种的表型数据和遗传数据联系起来。

Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice.

作者信息

Shrestha Rosemary, Matteis Luca, Skofic Milko, Portugal Arllet, McLaren Graham, Hyman Glenn, Arnaud Elizabeth

机构信息

Genetic Resources Program, Centro Internacional de Mejoramiento de Maiz y Trigo Texcoco, Edo. de México, Mexico.

出版信息

Front Physiol. 2012 Aug 25;3:326. doi: 10.3389/fphys.2012.00326. eCollection 2012.

DOI:10.3389/fphys.2012.00326
PMID:22934074
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3429094/
Abstract

The Crop Ontology (CO) of the Generation Challenge Program (GCP) (http://cropontology.org/) is developed for the Integrated Breeding Platform (IBP) (http://www.integratedbreeding.net/) by several centers of The Consultative Group on International Agricultural Research (CGIAR): bioversity, CIMMYT, CIP, ICRISAT, IITA, and IRRI. Integrated breeding necessitates that breeders access genotypic and phenotypic data related to a given trait. The CO provides validated trait names used by the crop communities of practice (CoP) for harmonizing the annotation of phenotypic and genotypic data and thus supporting data accessibility and discovery through web queries. The trait information is completed by the description of the measurement methods and scales, and images. The trait dictionaries used to produce the Integrated Breeding (IB) fieldbooks are synchronized with the CO terms for an automatic annotation of the phenotypic data measured in the field. The IB fieldbook provides breeders with direct access to the CO to get additional descriptive information on the traits. Ontologies and trait dictionaries are online for cassava, chickpea, common bean, groundnut, maize, Musa, potato, rice, sorghum, and wheat. Online curation and annotation tools facilitate (http://cropontology.org) direct maintenance of the trait information and production of trait dictionaries by the crop communities. An important feature is the cross referencing of CO terms with the Crop database trait ID and with their synonyms in Plant Ontology (PO) and Trait Ontology (TO). Web links between cross referenced terms in CO provide online access to data annotated with similar ontological terms, particularly the genetic data in Gramene (University of Cornell) or the evaluation and climatic data in the Global Repository of evaluation trials of the Climate Change, Agriculture and Food Security programme (CCAFS). Cross-referencing and annotation will be further applied in the IBP.

摘要

国际农业研究磋商组织(CGIAR)的多个中心:生物多样性国际、国际玉米小麦改良中心(CIMMYT)、国际马铃薯中心(CIP)、国际半干旱热带作物研究所(ICRISAT)、国际热带农业研究所(IITA)和国际水稻研究所(IRRI),为综合育种平台(IBP)(http://www.integratedbreeding.net/)开发了世代挑战计划(GCP)的作物本体(CO)(http://cropontology.org/)。综合育种要求育种者获取与特定性状相关的基因型和表型数据。CO提供了经作物实践社区(CoP)使用的经过验证的性状名称,以协调表型和基因型数据的注释,从而通过网络查询支持数据的可访问性和发现。性状信息通过测量方法和尺度的描述以及图像来完善。用于生成综合育种(IB)田间记录簿的性状词典与CO术语同步,以便对田间测量的表型数据进行自动注释。IB田间记录簿使育种者能够直接访问CO,以获取有关性状的更多描述性信息。木薯、鹰嘴豆、菜豆、花生、玉米、香蕉、马铃薯、水稻、高粱和小麦的本体和性状词典均在线提供。在线管理和注释工具便于作物社区直接维护性状信息并生成性状词典(http://cropontology.org)。一个重要特征是CO术语与作物数据库性状ID以及它们在植物本体(PO)和性状本体(TO)中的同义词进行交叉引用。CO中交叉引用术语之间的网络链接提供了对用类似本体术语注释的数据的在线访问,特别是康奈尔大学Gramene中的遗传数据或气候变化、农业和粮食安全计划(CCAFS)全球评估试验库中的评估和气候数据。交叉引用和注释将在IBP中进一步应用。

相似文献

1
Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice.通过使用由作物实践社区开发的作物本体进行数据注释,将有助于综合育种的表型数据和遗传数据联系起来。
Front Physiol. 2012 Aug 25;3:326. doi: 10.3389/fphys.2012.00326. eCollection 2012.
2
Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.多功能作物性状本体论,用于育种者的数据:田野手册、注释、文献数据发现和语义丰富。
AoB Plants. 2010;2010:plq008. doi: 10.1093/aobpla/plq008. Epub 2010 May 27.
3
The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.Planteome 数据库:参考本体、植物基因组学和表型组学的综合资源。
Nucleic Acids Res. 2018 Jan 4;46(D1):D1168-D1180. doi: 10.1093/nar/gkx1152.
4
Challenges for FAIR-compliant description and comparison of crop phenotype data with standardized controlled vocabularies.符合 FAIR 原则的作物表型数据描述和标准化控制词汇比较面临的挑战。
Database (Oxford). 2021 May 15;2021. doi: 10.1093/database/baab028.
5
Gramene: development and integration of trait and gene ontologies for rice.Gramene:水稻性状和基因本体的开发与整合
Comp Funct Genomics. 2002;3(2):132-6. doi: 10.1002/cfg.156.
6
Planteome 2024 Update: Reference Ontologies and Knowledgebase for Plant Biology.Planteome 2024 更新:植物生物学参考本体论和知识库。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1548-D1555. doi: 10.1093/nar/gkad1028.
7
Transition From Targeted Breeding to Mainstreaming of Biofortification Traits in Crop Improvement Programs.从定向育种到作物改良计划中生物强化性状主流化的转变。
Front Plant Sci. 2021 Sep 14;12:703990. doi: 10.3389/fpls.2021.703990. eCollection 2021.
8
Cross-species multiple environmental stress responses: An integrated approach to identify candidate genes for multiple stress tolerance in sorghum (Sorghum bicolor (L.) Moench) and related model species.跨物种多环境胁迫响应:一种鉴定高粱(高粱 bicolor(L.)Moench)和相关模式物种多逆境耐受候选基因的综合方法。
PLoS One. 2018 Mar 28;13(3):e0192678. doi: 10.1371/journal.pone.0192678. eCollection 2018.
9
A trait-based model ensemble approach to design rice plant types for future climate.基于特征的模型集成方法设计未来气候水稻品种。
Glob Chang Biol. 2022 Apr;28(8):2689-2710. doi: 10.1111/gcb.16087. Epub 2022 Jan 30.
10
The Vertebrate Trait Ontology: a controlled vocabulary for the annotation of trait data across species.脊椎动物性状本体论:用于跨物种性状数据注释的受控词汇表。
J Biomed Semantics. 2013 Aug 9;4(1):13. doi: 10.1186/2041-1480-4-13.

引用本文的文献

1
Post-composing ontology terms for efficient phenotyping in plant breeding.用于植物育种中高效表型分析的后合成本体术语
Database (Oxford). 2025 Mar 21;2025. doi: 10.1093/database/baaf020.
2
The FLAIR-GG federated network of FAIR germplasm data resources.公平种质数据资源的FLAIR-GG联邦网络。
Sci Data. 2024 Dec 18;11(1):1386. doi: 10.1038/s41597-024-04243-7.
3
PotatoG-DKB: a potato gene-disease knowledge base mined from biological literature.马铃薯基因-疾病知识库(PotatoG-DKB):从生物文献中挖掘的马铃薯基因-疾病知识库。

本文引用的文献

1
Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.多功能作物性状本体论,用于育种者的数据:田野手册、注释、文献数据发现和语义丰富。
AoB Plants. 2010;2010:plq008. doi: 10.1093/aobpla/plq008. Epub 2010 May 27.
2
Gramene: development and integration of trait and gene ontologies for rice.Gramene:水稻性状和基因本体的开发与整合
Comp Funct Genomics. 2002;3(2):132-6. doi: 10.1002/cfg.156.
3
OBO-Edit--an ontology editor for biologists.OBO-Edit——一款面向生物学家的本体编辑器。
PeerJ. 2024 Oct 3;12:e18202. doi: 10.7717/peerj.18202. eCollection 2024.
4
Advancing utilization of diverse global carrot ( L.) germplasm with flowering habit trait ontology.利用具有开花习性性状本体的多种全球胡萝卜(L.)种质资源。
Front Plant Sci. 2024 Apr 19;15:1342513. doi: 10.3389/fpls.2024.1342513. eCollection 2024.
5
ClimMob: Software to support experimental citizen science in agriculture.ClimMob:支持农业领域实验性公民科学的软件。
Comput Electron Agric. 2024 Feb;217:None. doi: 10.1016/j.compag.2023.108539.
6
The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective.经编方法:一种由公民科学支持的用于分散式农场测试的敏捷框架。一项回顾性研究。
Agron Sustain Dev. 2024;44(1):8. doi: 10.1007/s13593-023-00937-1. Epub 2024 Jan 25.
7
Ontologies for increasing the FAIRness of plant research data.提高植物研究数据 FAIR 性的本体论。
Front Plant Sci. 2023 Nov 30;14:1279694. doi: 10.3389/fpls.2023.1279694. eCollection 2023.
8
Planteome 2024 Update: Reference Ontologies and Knowledgebase for Plant Biology.Planteome 2024 更新:植物生物学参考本体论和知识库。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1548-D1555. doi: 10.1093/nar/gkad1028.
9
Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the Agbiodata Consortium.Agbiodata 联盟的农业遗传学、基因组学和育种数据库和资源的数据共享和本体使用。
Database (Oxford). 2023 Nov 15;2023. doi: 10.1093/database/baad076.
10
Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes.开发一个知识图谱框架以简化并增强植物研究中的转化方法:以豆科作物为例
Front Artif Intell. 2023 Aug 3;6:1191122. doi: 10.3389/frai.2023.1191122. eCollection 2023.
Bioinformatics. 2007 Aug 15;23(16):2198-200. doi: 10.1093/bioinformatics/btm112. Epub 2007 Jun 1.
4
On ontologies for biologists: the Gene Ontology--untangling the web.面向生物学家的本体论:基因本体论——理清脉络
Novartis Found Symp. 2002;247:66-80; discussion 80-3, 84-90, 244-52.