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


     


Published online 25 July 2006
Published in Crop Sci 46:1972-1980 (2006)
© 2006 Crop Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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 (5)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bernardo, R.
Right arrow Articles by Charcosset, A.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Bernardo, R.
Right arrow Articles by Charcosset, A.
Agricola
Right arrow Articles by Bernardo, R.
Right arrow Articles by Charcosset, A.
Related Collections
Right arrow Biometrics

CROP BREEDING & GENETICS

Number and Fitness of Selected Individuals in Marker-Assisted and Phenotypic Recurrent Selection

Rex Bernardoa,*, Laurence Moreaub and Alain Charcossetb

a Dep. of Agronomy and Plant Genetics, Univ. of Minnesota, 411 Borlaug Hall, 1991 Upper Buford Cir., St. Paul, MN 55108
b Institut National de la Recherche Agronomique, Station de génétique végétale, Ferme du Moulon, 91190 Gif-sur-Yvette, France

* Corresponding author (bernardo{at}umn.edu)

Selected individuals in recurrent selection usually have equal fitness, i.e., they contribute the same number of progenies to the next cycle of selection. Our objective was to determine if varying the fitness of selected individuals increases the response to recurrent selection. We developed and evaluated an optimum method (Unequal Fitness) and a simplified method (Better Half) for determining the appropriate fitness of selected individuals. By computer simulation we found that if the number of selected individuals (NSel) is constant, the short-term response (cycles 1–5) to phenotypic recurrent selection was generally higher with the Better Half and Unequal Fitness methods than with the Equal Fitness method. In practice, however, breeders would find it easier to change NSel than to manipulate the fitness of selected individuals. Reducing NSel often negated any short-term advantage of the Better Half and Unequal Fitness methods. Likewise, the Better Half and Unequal Fitness methods were not advantageous in marker-assisted recurrent selection, which is a short-term procedure. Across different NSel values, the Better Half and Unequal Fitness methods were superior to the Equal Fitness method for medium- and long-term phenotypic recurrent selection (cycles 6–30). We recommend the Better Half method over the Unequal Fitness method because of its simplicity and because it remained superior to the Equal Fitness method over more cycles of selection. As a rule-of-thumb, we suggest that NSel should be roughly equal to the number of cycles for which selection will be conducted. This rule of thumb leads to NSel values lower than those typically used in selection programs.




This article has been cited by other articles:


Home page
Plant Physiol.Home page
N. C. Collins, F. Tardieu, and R. Tuberosa
Quantitative Trait Loci and Crop Performance under Abiotic Stress: Where Do We Stand?
Plant Physiology, June 1, 2008; 147(2): 469 - 486.
[Full Text] [PDF]


Home page
Crop Sci.Home page
Y. Xu and J. H. Crouch
Marker-Assisted Selection in Plant Breeding: From Publications to Practice
Crop Sci., March 19, 2008; 48(2): 391 - 407.
[Abstract] [Full Text] [PDF]


Home page
GeneticsHome page
S. Zhong and J.-L. Jannink
Using Quantitative Trait Loci Results to Discriminate Among Crosses on the Basis of Their Progeny Mean and Variance
Genetics, September 1, 2007; 177(1): 567 - 576.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
R. Bernardo and J. Yu
Prospects for Genomewide Selection for Quantitative Traits in Maize
Crop Sci., May 31, 2007; 47(3): 1082 - 1090.
[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 © 2006 by the Crop Science Society of America.