Meeting: High-throughput Plant Phenotyping and Data Analysis, A Series of Workshops at the Plant and Animal Genome Conference XXIV, January 9-13, 2016 San Diego, CA

会议：高通量植物表型和数据分析，第 24 届植物和动物基因组会议的一系列研讨会，2016 年 1 月 9-13 日，加利福尼亚州圣地亚哥

• 批准号: 1613452
• 负责人: Carolyn Lawrence-Dill
• 金额: $ 4.8万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1613452&HistoricalAwards=false
• 关键词: Meeting; throughput; Plant; Phenotyping; Data

An interdisciplinary group of researchers will meet to discuss and identify key challenges in plant biology and applied breeding at the Plant and Animal Genome Conference in San Diego, CA, January 10-11, 2016. Three workshops will focus on developing data standards for the use of so-called "high through-put phenotyping" tools, such as remote sensing, rover/robot field assistance, deployment of unmanned aerial device and other recent developments. These emerging technologies are powerful tools capable of generating large scale datasets that researchers and breeders can use to understand plant growth and responses to the environment. However, to make use of the data effectively, researchers must establish standards of data acquisition and develop best practices for managing and sharing the massive datasets these technologies produce. The goals of these workshops are to identify gaps in technology and develop a roadmap for managing and sharing data. On the first day, 8-12 invited speakers will deliver presentations at two workshop sessions on the broad topics of phenotyping, data collection and information management to catalyze broad discussion. A panel discussion will engage the audience in open dialogue to establish best practices and develop research trajectories. The second day will include a brainstorming session aimed at refining topics raised during the prior workshops and culminating in the development of a whitepaper, or roadmap, designed to guide research over the coming years. The workshops will encourage interdisciplinary discussions to develop data standards and recommend key priorities for strategic Federal and International investment. The workshop will include participation from researchers using both reductionist (controlled environment) and holistic (field-based) approaches, as well as the data scientists who enable broad access to research outcomes via information resources. Participants will be from across disciplines such as plant biology, genomics, genetics, plant breeding, systems biology, computer science and the data sciences. Scholars will also participate from diverse career stages, institutional types, geographical locations, gender, and ethnic backgrounds. As an outcome of the workshops, a whitepaper will be prepared that identifies gaps in knowledge, infrastructure, participation, and educational opportunities. The whitepaper will further identify potential research directions, propose solutions to fill the identified gaps and emphasize strategies for training the next generation of plant breeders. Both short- and long-term goals for integrating plant sciences, agriculture, and the data sciences will be articulated. The whitepaper will serve as a community gold standard to be widely disseminated through publication, meeting presentation and made available through web portals.

一个跨学科的研究小组将于2016年1月10日至11日在加利福尼亚州圣地亚哥举行的植物和动物基因组会议上讨论和确定植物生物学和应用育种的关键挑战。三个讲习班将侧重于为所谓的“高吞吐量”表型鉴定工具的使用制定数据标准，例如遥感、火星车/机器人现场协助、无人驾驶航空装置的部署和其他最新发展。这些新兴技术是能够产生大规模数据集的强大工具，研究人员和育种者可以使用这些数据集来了解植物生长和对环境的反应。然而，为了有效地利用数据，研究人员必须建立数据获取标准，并制定管理和共享这些技术产生的海量数据集的最佳实践。这些讲习班的目标是找出技术上的差距，并制定管理和共享数据的路线图。在第一天，8-12名受邀演讲者将在两个研讨会上就表型、数据收集和信息管理等广泛主题发表演讲，以促进广泛的讨论。小组讨论将吸引听众进行公开对话，以建立最佳做法并制定研究轨迹。第二天将包括一次集思广益会议，旨在提炼前几次研讨会中提出的主题，并最终制定一份白皮书或路线图，旨在指导未来几年的研究。讲习班将鼓励跨学科讨论，以制定数据标准，并为战略联邦和国际投资建议关键优先事项。研讨会将包括使用简约主义(受控环境)和整体(实地)方法的研究人员，以及通过信息资源广泛获取研究成果的数据科学家。参与者将来自不同学科，如植物生物学、基因组学、遗传学、植物育种、系统生物学、计算机科学和数据科学。来自不同职业阶段、机构类型、地理位置、性别和种族背景的学者也将参与其中。作为讲习班的成果，将编写一份白皮书，指出知识、基础设施、参与度和教育机会方面的差距。白皮书将进一步确定潜在的研究方向，提出填补已确定空白的解决方案，并强调培训下一代植物育种者的战略。将阐明整合植物科学、农业和数据科学的短期和长期目标。白皮书将作为社区的黄金标准，通过出版物、会议演示文稿和门户网站广泛传播。