干旱区生态环境知识资源中心(Arid): A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system

Arid

DOI	10.1186/s13007-020-00639-9
	A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system
	Thompson, Alison L.; Thorp, Kelly R.; Conley, Matthew M.; Roybal, Michael; Moller, David; Long, Jacob C.
通讯作者	Thompson, AL
来源期刊	PLANT METHODS
EISSN	1746-4811
出版年	2020
卷号	16 期号:1
英文摘要	Field-based high-throughput plant phenotyping (FB-HTPP) has been a primary focus for crop improvement to meet the demands of a growing population in a changing environment. Over the years, breeders, geneticists, physiologists, and agronomists have been able to improve the understanding between complex dynamic traits and plant response to changing environmental conditions using FB-HTPP. However, the volume, velocity, and variety of data captured by FB-HTPP can be problematic, requiring large data stores, databases, and computationally intensive data processing pipelines. To be fully effective, FB-HTTP data workflows including applications for database implementation, data processing, and data interpretation must be developed and optimized. At the US Arid Land Agricultural Center in Maricopa Arizona, USA a data workflow was developed for a terrestrial FB-HTPP platform that utilized a custom Python application and a PostgreSQL database. The workflow developed for the HTPP platform enables users to capture and organize data and verify data quality before statistical analysis. The data from this platform and workflow were used to identify plant lodging and heat tolerance, enhancing genetic gain by improving selection accuracy in an upland cotton breeding program. An advantage of this platform and workflow was the increased amount of data collected throughout the season, while a main limitation was the start-up cost.
英文关键词	Field-based high-throughput plant phenotyping Database Data processing Plant breeding
类型	Review
语种	英语
开放获取类型	Green Published, Other Gold
收录类别	SCI-E
WOS记录号	WOS:000552382400001
WOS关键词	CANOPY TEMPERATURE ; PHENOMICS ; YIELD ; PERFORMANCE
WOS类目	Biochemical Research Methods ; Plant Sciences
WOS研究方向	Biochemistry & Molecular Biology ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325207
作者单位	[Thompson, Alison L.; Thorp, Kelly R.; Conley, Matthew M.; Roybal, Michael; Moller, David; Long, Jacob C.] USDA ARS, Arid Land Agr Res Ctr, Maricopa, AZ 85138 USA
推荐引用方式 GB/T 7714	Thompson, Alison L.,Thorp, Kelly R.,Conley, Matthew M.,et al. A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system[J],2020,16(1).
APA	Thompson, Alison L.,Thorp, Kelly R.,Conley, Matthew M.,Roybal, Michael,Moller, David,&Long, Jacob C..(2020).A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system.PLANT METHODS,16(1).
MLA	Thompson, Alison L.,et al."A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system".PLANT METHODS 16.1(2020).