Crop Science Grow Your Career with CSSA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published in Crop Sci 37:88-97 (1997)
© 1997 Crop Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
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 HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Abdalla, O. S.
Right arrow Articles by Cornelius, P. L.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Abdalla, O. S.
Right arrow Articles by Cornelius, P. L.
Agricola
Right arrow Articles by Abdalla, O. S.
Right arrow Articles by Cornelius, P. L.

Results and Biological Interpretation of Shifted Multiplicative Model Clustering of Durum Wheat Cultivars and Test Site

Osman S. Abdalla and José Crossa*

International Maize and Wheat Improvement Center (CIMMYT), Lisboa 27, Apdo. Postal 6-641, 06600, Mé D.F., México

Paul L. Cornelius

Dep. of Agronomy and Dep. of Statistics, Univ. of Kentucky, Lexington, KY 40546-0091

* Corresponding author (jcrossa{at}cimmyt.mx).

The examination of crossover interactions (COI) (genotypic rank change) and identification of subsets of homogeneous groups of sites and cultivars without COI are important in the interpretation of cultivar trials in breeding and agronomy. The shifted multiplicative model (SHMM) clustering method was applied to a CIMMYT durum wheat (Triticum turgidum L. var. durum) yield trial consisting of 24 cuitivars grown at 40 international sites during the 1990-1991 season. The objectives were to identify subsets of sites and cultivars with negligible genotypic rank change and attempt to give a biological interpretation for the resulting clusters. The SHMM with one multiplicative term (SHMM1) provided an adequate fit for seven final groups of cultivars and eight final groups of sites with small numbers of COI. Grouping of cultivars greatly reflected similarity in genetic backgrounds and, consequently, similarity of response to test environments. Differential responses within the same genetic background were attributed to differences in simply inherited traits such as plant height and disease resistance. The observed grouping of sites was generally associated with latitude, while environmental conditions that influenced crop phenology and cropping cycle delineated the final groupings. The results suggest that groups formed based on SHMM clustering methods have valid biological basis. Routine use of SHMM clustering methods could increase selection efficiency through the identification and selection of superior cultivars within clusters having negligible COI. Similarly, groups of test sites that represent similar selection environments could be identified and that would facilitate identification of key test sites as well as decision making concerning exchange of germplasm and information.


The third author's contribution to this paper (No. 95-06-031) is in connection with a project of the Kentucky Agricultural Experiment Station and is published with approval of the Director.

Received for publication May 5, 1995.


This article has been cited by other articles:


Home page
Crop Sci.Home page
R. M. Trethowan, M. van Ginkel, K. Ammar, J. Crossa, T. S. Payne, B. Cukadar, S. Rajaram, and E. Hernandez
Associations among Twenty Years of International Bread Wheat Yield Evaluation Environments
Crop Sci., September 1, 2003; 43(5): 1698 - 1711.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
J. Franco, J. Crossa, S. Taba, and H. Shands
A Multivariate Method for Classifying Cultivars and Studying Group x Environment x Trait Interaction
Crop Sci., July 1, 2003; 43(4): 1249 - 1258.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
J. Crossa, P. L. Cornelius, and W. Yan
Biplots of Linear-Bilinear Models for Studying Crossover Genotype x Environment Interaction
Crop Sci., March 1, 2002; 42(2): 619 - 633.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
R. M. Trethowan, J. Crossa, M. van Ginkel, and S. Rajaram
Relationships among Bread Wheat International Yield Testing Locations in Dry Areas
Crop Sci., September 1, 2001; 41(5): 1461 - 1469.
[Abstract] [Full Text] [PDF]




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 © 1997 by the Crop Science Society of America.