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


     


This Article
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 (2)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Helms, T. C.
Right arrow Articles by Terpstra, J. T.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Helms, T. C.
Right arrow Articles by Terpstra, J. T.
Agricola
Right arrow Articles by Helms, T. C.
Right arrow Articles by Terpstra, J. T.
Related Collections
Right arrow Soybean
Right arrow Plant and Environment Interactions
Crop Science 42:1493-1497 (2002)
© 2002 Crop Science Society of America

CROP BREEDING, GENETICS & CYTOLOGY

Resource Allocation to Select for Yield in Soybean

T. C. Helms*,a, J. H. Orfb and J. T. Terpstraa

a Dep. of Statistics, North Dakota State Univ., Fargo, ND 58105
b Dep. of Agronomy and Plant Genetics, Univ. of Minnesota, St. Paul, MN 55108

* Corresponding author (Ted.Helms{at}ndsu.nodak.edu)

Breeders need information on the best way to allocate resources to develop higher-yielding soybean [Glycine max (L.) Merr.] lines using a fixed amount of resources. Our objectives were to determine the best resource allocation for first-year yield tests by varying the number of replicates, number of lines per population, and number of populations. Thirty lines developed from each of 10 populations were tested in two selection environments. All 300 lines were evaluated in each of the seven environments. Five environments were used as validation environments to compare the mean of the selected lines to the overall mean. Increasing the number of replicates did not increase the effectiveness of selection. When 30 lines were tested from five populations, the realized selection differential varied from 170 to 310 kg ha-1, depending on which of the five populations were evaluated. We concluded that no more than 15 lines should be sampled from as many different populations as possible. The best allocation of resources to maximize the response to selection for first-year yield evaluation was the use of a single replicate at one location.




This article has been cited by other articles:


Home page
Crop Sci.Home page
T. C. Helms and J. J. Hammond
Genetic Gain Equation with Correlated Genotype x Environment Effects
Crop Sci., March 27, 2006; 46(3): 1137 - 1142.
[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 © 2002 by the Crop Science Society of America.