Abstract
BackgroundThe data generated during a course of a biological experiment/study can be sometimes be massive and its management becomes quite critical for the success of the investigation undertaken. The accumulation and analysis of such large datasets often becomes tedious for biologists and lab technicians. Most of the current phenotype data acquisition management systems do not cater to the specialized needs of large-scale data analysis. The successful application of genomic tools/strategies to introduce desired traits in plants requires extensive and precise phenotyping of plant populations or gene bank material, thus necessitating an efficient data acquisition system.ResultsHere we describe newly developed software "PHENOME" for high-throughput phenotyping, which allows researchers to accumulate, categorize, and manage large volume of phenotypic data. In this study, a large number of individual tomato plants were phenotyped with the "PHENOME" application using a Personal Digital Assistant (PDA) with built-in barcode scanner in concert with customized database specific for handling large populations.ConclusionThe phenotyping of large population of plants both in the laboratory and in the field is very efficiently managed using PDA. The data is transferred to a specialized database(s) where it can be further analyzed and catalogued. The "PHENOME" aids collection and analysis of data obtained in large-scale mutagenesis, assessing quantitative trait loci (QTLs), raising mapping population, sampling of several individuals in one or more ecological niches etc.
Highlights
The data generated during a course of a biological experiment/study can be sometimes be massive and its management becomes quite critical for the success of the investigation undertaken
The present report highlights the use of personal digital assistants (PDAs) for collating a computable database of phenotypes of a mutagenized population of tomato (Solanum lycopersicon cv Arka Vikas)
The utility of the PHENOME application lies in its ability to characterize and evaluate very large sized populations
Summary
Computer aided data acquisition tool for high-throughput phenotyping of plant populations. Raju Naik Vankadavath, Appibhai Jakir Hussain, Reddaiah Bodanapu, Eros Kharshiing, Pinjari Osman Basha, Soni Gupta, Yellamaraju Sreelakshmi and Rameshwar Sharma*1. Address: 1School of Life Sciences, University of Hyderabad, Hyderabad 500 046, India, 2JK AgriGenetics, Begumpet, Hyderabad 500016, India, 3Department of Botany, St Edmund's College, Meghalaya 793003, India and 4Department of Genetics and Genomics, Yogi Vemana University, Kadapa 516003, India
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