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Prediction of white cabbage (Brassica oleracea var. capitata) self-incompatibility based on neural network and discriminant analysis of complex electrophoretic patterns

Paper ID Volume ID Publish Year Pages File Format Full-Text
15342 1405 2010 7 PDF Available
Title
Prediction of white cabbage (Brassica oleracea var. capitata) self-incompatibility based on neural network and discriminant analysis of complex electrophoretic patterns
Abstract

Self-incompatibility (SI) of white cabbage (Brassica oleracea var. capitata), a biological mechanism triggering the ability to pollinate plant ovules, is modelled based on the statistical analysis of electrophoretic patterns of stigma extracts. The patterns obtained for 72 plants grown in three different seasons (2003–2005) have been explored with discriminant analysis and non-linear neural networks. The NN models obtained perform a flawless classification of SI and provide a useful and fast technique for SI prediction before the end of the season. The discriminant analysis turns out to be less effective (74% of good predictions), but together with sensitivity analysis of NN, it points out the important markers of the SI process (peaks 1, 3, 5, 15 and 18).

Keywords
Discriminant analysis; Neural network; Self-incompatibility; Brassica oleracea
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Prediction of white cabbage (Brassica oleracea var. capitata) self-incompatibility based on neural network and discriminant analysis of complex electrophoretic patterns
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Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 34, Issue 2, April 2010, Pages 115–121
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us