Crop Science Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published in Crop Sci 37:1168-1176 (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 Cooper, M.
Right arrow Articles by Harch, B. D.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Cooper, M.
Right arrow Articles by Harch, B. D.
Agricola
Right arrow Articles by Cooper, M.
Right arrow Articles by Harch, B. D.

Wheat Breeding Nurseries, Target Environments, and Indirect Selection for Grain Yield

M. Cooper*, R. E. Stucker, I. H. DeLacy and B. D. Harch

Dep. of Agriculture, The University of Queensland, Brisbane, Queensland 4072, Australia
Dep. of Agronomy and Plant Genetics, Univ. of Minnesota, 411 Borlaug Hall, St Paul, MN 55108-6026
CSIRO, Mathematical and Information Sciences, PMB No. 2, Glen Osmond, South Australia 5064, Australia

* Corresponding author (m.cooper{at}uq.edu.au).

Use of appropriate nursery environments will maximize gain from selection for yield of wheat (Triticum aestivum L.) in the target population of environments of a breeding program. The objective of this study was to investigate how, well-irrigated (low-stress) nursery environments predict yield of lines in target environments that varied in degree of water limitation. Fifteen lines were sampled from the preliminary yield evaluation stage of the Queensland wheat breeding program and tested in 26 trials under on-farm conditions (Target Environments) across nine years (1985 to 1993) and also in 27 trials conducted at three research stations (Nursery Environments) in three years (1987 to 1989). The nursery environments were structured impose different levels of water and nitrogen (N) limitation, whereas the target environments represented a random sample of on-farm conditions from the target population of environments. Indirect selection and pattern analysis methods were used to investigate selection for yield in the nursery environments and gain from selection in the target environments. Yield under low-stress nursery conditions was an effective predictor of yield under similar low-stress target environments (r = 0.89, P < 0.01). However, the value of the low-stress nursery as a predictor of yield in the water-limited target environments decreased with increasing water stress (moderate stress r = 0.53, P < 0.05, to r = 0.38, P > 0.05; severe stress r = –0.08, P > 0.05). Yield in the stress nurseries was a poor predictor of yield in the target environments. Until there is a clear understanding of the physiological-genetic basis of variation for adaptation of wheat to the waterlimited environments in Queensland, yield improvement can best be achieved by selection for a combination of yield potential in an irrigated low-stress nursery and yield in on-farm trials that sample the range of water-limited environments of the target population of environments.


Journal no. 22424.

Received for publication July 1, 1996.


This article has been cited by other articles:


Home page
Crop Sci.Home page
F. K. Padi and J. D. Ehlers
Effectiveness of Early Generation Selection in Cowpea for Grain Yield and Agronomic Characteristics in Semiarid West Africa
Crop Sci., March 19, 2008; 48(2): 533 - 540.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
M. Brancourt-Hulmel, E. Heumez, P. Pluchard, D. Beghin, C. Depatureaux, A. Giraud, and J. Le Gouis
Indirect versus Direct Selection of Winter Wheat for Low-Input or High-Input Levels
Crop Sci., May 27, 2005; 45(4): 1427 - 1431.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
W. Yan and N. A. Tinker
An Integrated Biplot Analysis System for Displaying, Interpreting, and Exploring Genotype x Environment Interaction
Crop Sci., May 6, 2005; 45(3): 1004 - 1016.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
F. J. Betran, D. Beck, M. Banziger, and G. O. Edmeades
Genetic Analysis of Inbred and Hybrid Grain Yield under Stress and Nonstress Environments in Tropical Maize
Crop Sci., May 1, 2003; 43(3): 807 - 817.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
W. Yan
Singular-Value Partitioning in Biplot Analysis of Multienvironment Trial Data
Agron. J., September 1, 2002; 94(5): 990 - 996.
[Abstract] [Full Text] [PDF]


Home page
ANN BOT (LOND)Home page
J. L. ARAUS, G. A. SLAFER, M. P. REYNOLDS, and C. ROYO
Plant Breeding and Drought in C3 Cereals: What Should We Breed For?
Ann. Bot., June 15, 2002; 89(7): 925 - 940.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
W. Yan and L. A. Hunt
Biplot Analysis of Diallel Data
Crop Sci., January 1, 2002; 42(1): 21 - 30.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
W. Yan
GGEbiplot--A Windows Application for Graphical Analysis of Multienvironment Trial Data and Other Types of Two-Way Data
Agron. J., September 1, 2001; 93(5): 1111 - 1118.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
W. Yan and L.A. Hunt
Interpretation of Genotype Environment Interaction for Winter Wheat Yield in Ontario
Crop Sci., January 1, 2001; 41(1): 19 - 25.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
P. Annicchiarico, L. Pecetti, G. Boggini, and M. A. Doust
Repeatability of Large-Scale Germplasm Evaluation Results in Durum Wheat
Crop Sci., November 1, 2000; 40(6): 1810 - 1814.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
W. Yan, L.A. Hunt, Q. Sheng, and Z. Szlavnics
Cultivar Evaluation and Mega-Environment Investigation Based on the GGE Biplot
Crop Sci., May 1, 2000; 40(3): 597 - 605.
[Abstract] [Full Text]




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.