Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12293
Title: Image analysis for mapping immeasurable phenotypes in Maize
Authors: Shyu, CR
Green, JM
Lun, DPK 
Kazic, T
Schaeffer, M
Coe, E
Issue Date: 2007
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Source: IEEE signal processing magazine, 2007, v. 24, no. 3, p. 116-119 How to cite?
Journal: IEEE Signal Processing Magazine 
Abstract: An overview is given of challenges in mapping immeasurable phenotypes in maize and the potential of image analysis in a phenotype mapping system. It is argued that the use of image analysis may improve phenotypic quantification by increasing the objectivity and granularity of quantification, which in turn may result in an increase in the rate at which the genes controlling phenotypic traits are isolated. With the provision of sufficient markers and finer characterization of phenotypes, QTL mapping may become more accurate and result in smaller sections of deoxyribonucleic acid (DNA) to sort through for isolation of genes contributing to a given phenotypic trait.
URI: http://hdl.handle.net/10397/12293
ISSN: 1053-5888
DOI: 10.1109/MSP.2007.361609
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