Literature DB >> 22893288

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

Raju Naik Vankudavath1, Reddaiah Bodanapu, Yellamaraju Sreelakshmi, Rameshwar Sharma.   

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.

Mesh:

Year:  2012        PMID: 22893288     DOI: 10.1007/978-1-61779-995-2_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

Review 1.  Crop improvement using life cycle datasets acquired under field conditions.

Authors:  Keiichi Mochida; Daisuke Saisho; Takashi Hirayama
Journal:  Front Plant Sci       Date:  2015-09-22       Impact factor: 5.753

  1 in total

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