Crop Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 24 June 2005
Published in Crop Sci 45:1603-1609 (2005)
© 2005 Crop Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Abstract Freely available
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Related articles in Crop Science
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via ISI Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bramardi, S. J.
Right arrow Articles by Carbonell, E. A.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Bramardi, S. J.
Right arrow Articles by Carbonell, E. A.
Agricola
Right arrow Articles by Bramardi, S. J.
Right arrow Articles by Carbonell, E. A.
Related Collections
Right arrow Biometrics
Right arrow Plant Genetic Resources
Right arrow Statistics

Simultaneous Agronomic and Molecular Characterization of Genotypes via the Generalised Procrustes Analysis

An Application to Cucumber

S. J. Bramardia, G. P. Bernetb, M. J. Asínsb and E. A. Carbonellb,*

a Facultad de Ciencias Agrarias, Universidad Nacional del Comahue, 8303 Cinco Saltos, Río Negro, Argentina
b Instituto Valenciano de Investigaciones Agrarias (IVIA), Apartado Oficial, E-46113 Moncada (Valencia), Spain



View larger version (30K):

[in a new window]
 
Fig. 1. Two-dimensional agronomic ordination of the 41 entries of cucumber and Minimum Spanning Tree (MST): (a) Principal Coordinate (PcoA) for qualitative traits and (b) Principal Component Analysis (PCA) for quantitative traits.

 


View larger version (27K):

[in a new window]
 
Fig. 2. Two-dimensional ordination of the 41 entries of cucumber after a Principal Coordinates Analysis using RAPD markers data and Minimum Spanning Trees (MST).

 


View larger version (32K):

[in a new window]
 
Fig. 3. Configuration of consensus matrix of Generalized Procrustes Analysis (GPA) in first two axes with Minimum Spanning Trees (MST): (a) consensus between qualitative and quantitative agronomic data, and (b) consensus between agronomic traits and molecular traits.

 


View larger version (22K):

[in a new window]
 
Fig. 4. Configuration of consensus matrix of Generalized Procrustes Analysis (GPA) in first and third axis.

 


View larger version (24K):

[in a new window]
 
Fig. 5. Cluster analysis for 41 entries of cucumber for agronomic traits and random amplified polymorphic DNA (RAPDs) using Euclidean distance for consensus configuration obtained of Generalized Procrustes Analysis (GPA) and unweighed pair-group method using arithmetic averages (UPGMA) groping method. Encircled entry labels correspond to external controls.

 





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2005 by the Crop Science Society of America.