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


     


This Article
Right arrow Figures Only
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 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 HighWire
Right arrow Citing Articles via ISI Web of Science (16)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Trethowan, R. M.
Right arrow Articles by Hernandez, E.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Trethowan, R. M.
Right arrow Articles by Hernandez, E.
Agricola
Right arrow Articles by Trethowan, R. M.
Right arrow Articles by Hernandez, E.
Related Collections
Right arrow Crop Genetics
Right arrow Plant and Environment Interactions
Published in Crop Sci. 43:1698-1711 (2003).
© 2003 Crop Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA

CROP BREEDING, GENETICS & CYTOLOGY

Associations among Twenty Years of International Bread Wheat Yield Evaluation Environments

R. M. Trethowan*,a, M. van Ginkela, K. Ammara, J. Crossab, T. S. Paynea, B. Cukadarc, S. Rajarama and E. Hernandeza

a Wheat Program, International Maize and Wheat Improvement Center (CIMMYT) Apdo. Postal 6-641, 06600 Mexico DF, Mexico
b Biometrics and Statistics Unit, CIMMYT Apdo. Postal 6-641, 06600 Mexico DF, Mexico
c Monsanto Corporation, RR3 Box 331C, Harbstadt, IN, USA

* Corresponding author (r.trethowan{at}cgiar.org).

Understanding the way different environments differentiate cultivars for yield allows the plant breeder to optimize choice of parents, germplasm screening, yield testing, and resource use within the target region. To determine the associations among yield testing environments, wheat (Triticum aestivum L.) yield data from 963 replicated trials sown across a 20-yr period were analyzed by means of pattern analysis and the shifted multiplicative model (SHMM) to group sites within and across years. Pattern analysis identified four primary clusters of sites and four representative locations within these clusters were identified by squared Euclidean distances. Group-1 represented primarily Mediterranean and West Asian locations and South American sites. Group-2 was comprised of generally warmer sites in southern and eastern Asia. Group-3 comprised higher rainfall locations in South America and eastern Africa and Group-4 represented cooler sites in South America and West Asia. The respective key locations for each of the four groups were Sakha, Egypt; Quezaltenango, Guatemala; Londrina, Brazil; and Pirsabak, Pakistan. The four key sites were then used to examine site clusters within each year by SHMM. The sites at Pirsabak and Sakha associated best across all global wheat-growing regions where a combined total of 700 of 1117 (62%) possible clusters with other global wheat locations were realized. This compared with 52% for Quezaltenango and 38% for Londrina. Factors with a primary influence on site clustering were cropping season moisture availability and temperature. Genotype performance at Pirsabak and Sakha can be used to enhance genetic progress in a range of related wheat growing environments thereby improving the effectiveness of global wheat breeding.

Abbreviations: CIANO, Centro de Investigaciones Agricolas del Noroeste • CIMMYT, Centro Internacional de Mejoramiento de Maiz y Trigo (International Maize and Wheat Improvement Center) • COI, crossover interaction • ESWYT, Elite Spring Wheat Yield Trial • GEI, genotype x environment interaction • SHMM, shifted multiplicative model




This article has been cited by other articles:


Home page
Crop Sci.Home page
W. Putto, A. Patanothai, S. Jogloy, and G. Hoogenboom
Determination of Mega-Environments for Peanut Breeding Using the CSM-CROPGRO-Peanut Model
Crop Sci., May 1, 2008; 48(3): 973 - 982.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
J. G. Robins, B. L. Waldron, K. P. Vogel, J. D. Berdahl, M. R. Haferkamp, K. B. Jensen, T. A. Jones, R. Mitchell, and B. K. Kindiger
Characterization of Testing Locations for Developing Cool-Season Grass Species
Crop Sci., May 31, 2007; 47(3): 1004 - 1012.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
S. B. Blanche and G. O. Myers
Identifying Discriminating Locations for Cultivar Selection in Louisiana
Crop Sci., February 24, 2006; 46(2): 946 - 949.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
M. Lillemo, M. van Ginkel, R. M. Trethowan, E. Hernandez, and J. Crossa
Differential Adaptation of CIMMYT Bread Wheat to Global High Temperature Environments
Crop Sci., October 27, 2005; 45(6): 2443 - 2453.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
M. Lillemo, M. van Ginkel, R. M. Trethowan, E. Hernandez, and S. Rajaram
Associations among International CIMMYT Bread Wheat Yield Testing Locations in High Rainfall Areas and Their Implications for Wheat Breeding
Crop Sci., July 1, 2004; 44(4): 1163 - 1169.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Vadose Zone Journal
Journal of Plant Registrations Soil Science Society of America Journal
Journal of Natural Resources
and Life Sciences Education
Journal of
Environmental Quality
Copyright © 2003 by the Crop Science Society of America.