版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Univ Hyderabad Sch Life Sci Hyderabad 500046 Andhra Pradesh India JK AgriGenet Hyderabad 500016 Andhra Pradesh India St Edmunds Coll Dept Bot Shillong 793003 Meghalaya India Yogi Vemana Univ Dept Genet & Genom Kadapa 516003 India
出 版 物:《PLANT METHODS》 (栽培技术)
年 卷 期:2009年第5卷第1期
页 面:18-18页
核心收录:
学科分类:0710[理学-生物学] 071001[理学-植物学] 07[理学]
基 金:Dept of Biotechnology New Delhi India
主 题:Personal Digital Assistant Mobile Computing Touch Screen Program Code Reverse Genetic
摘 要:Background: 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 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. Results: Here 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. Conclusion: The 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.