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 37:1443-1452 (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 Manjarrez-Sandoval, P.
Right arrow Articles by Burton, J. W.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Manjarrez-Sandoval, P.
Right arrow Articles by Burton, J. W.
Agricola
Right arrow Articles by Manjarrez-Sandoval, P.
Right arrow Articles by Burton, J. W.

Heterosis in Soybean and Its Prediction by Genetic Similarity Measures

P. Manjarrez-Sandoval and Thomas E. Carter, Jr.*

USDA/ARS. Dep. of Crop Science, North Carolina State Univ., Raleigh, NC,27695-7631

D. M. Webb and J. W. Burton

Pioneer Hi-Bred International Inc., P.O. Box 1004, Johnston, IA 50131
USDA/ARS. Dep. of Crop Science, North Carolina State Univ., Raleigh, NC,27695-7631

* Corresponding author (tommy_carter{at}ncsu.edu).

Coefficient of parentage (CP) and restriction fragment length polymorphism-based genetic similarity estimates (RFLP-GS) have been proposed as measures of genetic distance in crop species. If these measures are to have application in practical breeding, it is important to validate their utility in predicting genetic traits of interest such as heterosis. The objectives of this paper were to (i) estimate heterosis for yield in soybean [Glycine max (L.) Merr.] adapted to the southern USA, and (ii) predict heterosis by means of CP and RFLP-GS as genetic distance measures. Twenty-four F2 populations were developed by crossing three testers (‘Young’, ‘Centennial’, and ‘Tracy’) eight contrasting parents, representing a wide range of CP and RFLPGS. The experimental material was divided into three sets representing the testers above, and was evaluated in eight replications at Clayton and Plymouth, NC, in 1994. Midparent heterosis for yield was 7.9, 4.5, and 7.9% for Sets 1, 2, and 3, respectively. Heterosis was 3.5, 1.6, and 3.0% for 100-seed weight, and 4.1, 5.4, and 13.2% for plant height. The CP and RFLP-GS were highly correlated (r = 0.80, 0.92 and 0.95 for Sets 1, 2, and 3, respectively, P = 0.01), but neither predicted heterosis well for yield averaged across locations because of a large genotype x environment (G x E) interaction. In contrast, CP and RFLP-GS predicted heterosis well for 100-seed weight and plant height in two of the three sets averaged over locations. Our estimates of high parent heterosis for yield (as high as 11% over locations), may justify soybean hybrids as a breeding objective. However, the limited predictive value of CP and RFLP-GS in our study indicates that the identification of favorable heterotic combinations may require extensive field testing.

Received for publication October 28, 1996.


This article has been cited by other articles:


Home page
Crop Sci.Home page
D. Li, T. W. Pfeiffer, and P. L. Cornelius
Soybean QTL for Yield and Yield Components Associated with Glycine soja Alleles
Crop Sci., March 19, 2008; 48(2): 571 - 581.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
J. W. Burton and C. Brownie
Heterosis and Inbreeding Depression in Two Soybean Single Crosses
Crop Sci., November 21, 2006; 46(6): 2643 - 2648.
[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.