High-throughput phenotyping of plant populations using a personal digital assistant

dc.contributor.author Vankudavath, Raju Naik
dc.contributor.author Bodanapu, Reddaiah
dc.contributor.author Sreelakshmi, Yellamaraju
dc.contributor.author Sharma, Rameshwar
dc.date.accessioned 2022-03-27T03:49:17Z
dc.date.available 2022-03-27T03:49:17Z
dc.date.issued 2012-01-01
dc.description.abstract During many biological experiments voluminous data is acquired, which can be best collected with portable data acquisition devices and later analyzed with a personal computer (PC). Public domain software catering to data acquisition and analysis is currently limited. The necessity of phenotyping large plant populations led to the development of the application "PHENOME" to manage the data. PHENOME allows acquisition of phenotypic data using a personal digital assistant (PDA) with a built-in barcode scanner. The acquired data can be exported to a customized database on a PC for further analysis and cataloging. PHENOME can be used for a variety of applications, for example high-throughput phenotyping of a mutagenized or mapping population, or phenotyping of several individuals in one or more ecological niches. © 2012 Springer Science+Business Media, LLC.
dc.identifier.citation Methods in Molecular Biology. v.918
dc.identifier.issn 10643745
dc.identifier.uri 10.1007/978-1-61779-995-2_8
dc.identifier.uri http://link.springer.com/10.1007/978-1-61779-995-2_8
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/5633
dc.subject Computable phenotypic database
dc.subject Computer-aided data acquisition
dc.subject Functional genomics
dc.subject High-throughput phenotyping
dc.subject Personal digital assistant
dc.title High-throughput phenotyping of plant populations using a personal digital assistant
dc.type Book Series. Article
dspace.entity.type
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