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 26:971-975 (1986)
© 1986 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 Salado-Navarro, L. R.
Right arrow Articles by Hinson, K.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Salado-Navarro, L. R.
Right arrow Articles by Hinson, K.
Agricola
Right arrow Articles by Salado-Navarro, L. R.
Right arrow Articles by Hinson, K.

Yield and Reproductive Growth of Simulated and Field-Grown Soybean. II. Dry Matter Allocation and Seed Growth Rates1

Luis R. Salado-Navarro, Thomas R. Sinclair and Kuell Hinson2

A better understanding of the main plant traits that ultimately lead to seed yield in soybean [Glycine max (L.) Merr.] is needed. Objectives were (i) to examine the association among various seed growth traits and yield, and (ii) to compare the stability across environments of dry matter allocation coefficient (DMAC) and seed growth rate on a land area (SGR) and individual seed (ISGR) basis with that for yield. Materials were 45 simulated genotypes generated with a model of soybean reproductive growth, and field evaluations of 88 random (1982) and 17 selected (1983) F7 determinate genotypes from two crosses plus their parents. Randomized complete blocks were used in three field growth analyses performed at Gainesville, FL. Negative correlations (r= –0.44**, significant at the 0.01 probability level) between DMAC and yield were predicted using simulated genotypes and were also found in field-grown soybean (r= –0.18 to –0.40). Simulations predicted strong negative correlations of DMAC with effective filling period (EFP) (r= –0.92**) and with reproductive period duration (RPD) (r= –0.89**). In most cases field data supported this hypothesis. Correlations of DMAC were r=0.30 to –0.72** with EFP, r= –0.79** to -0.85** with RPD, and r= –0.29* (significant at the 0.05 probability level) to –0.60** with the period R5 to R7. Simulations predicted linear yield increases with respect to SGR (r2=0.71**). In all cases, field results showed close agreement with the simulations (r2=0.64** to 0.95**). Correlations of ISGR with yield were low and positive (r=0.03 to 0.39). In simulated genotypes many pathways led to medium yields, but the highest yield was attained by a genotype with the highest biomass at the beginning of seed growth, highest potential maximum net hexose crop growth rate, and the lowest DMAC, which resulted in a high SGR and the longest seed-filling duration. Highly significant genotype by environment interactions were observed for DMAC and yield but not for SGR and ISGR. Results suggest that high DMAC strongly limited seed-filling duration and that DMAC estimates the intensity of self-senescence during seed filling. Yield was mainly a linear function of SGR, and ISGR was poorly associated with yield.

Key Words: Glycine max (L.) Merr. Dry matter partitioning • Seed filling period • Effective filling period • Reproductive period duration


1 Contribution from the Dep. of Agronomy, IFAS, Univ. of Florida, Gainesville, FL 3261 1 and USDA-ARS.

2 Research associate, Dep. of Agronomy, Univ. of Florida; and plant physiologist and research agronomist, USDA-ARS, respectively, Gainesville, FL 32611.

Received for publication July 9, 1985.


This article has been cited by other articles:


Home page
Agron. J.Home page
J. O. Paz, W. D. Batchelor, and P. Pedersen
WebGro: A Web-Based Soybean Management Decision Support System
Agron. J., November 1, 2004; 96(6): 1771 - 1779.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
P. Pedersen and J. G. Lauer
Soybean Growth and Development in Various Management Systems and Planting Dates
Crop Sci., March 1, 2004; 44(2): 508 - 515.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
K. J. Boote, J. W. Jones, W. D. Batchelor, E. D. Nafziger, and O. Myers
Genetic Coefficients in the CROPGRO-Soybean Model: Links to Field Performance and Genomics
Agron. J., January 1, 2003; 95(1): 32 - 51.
[Abstract] [Full Text] [PDF]


Home page
J. Environ. Qual.Home page
M. Yu, Q. Gao, and M. J. Shaffer
Simulating Interactive Effects of Symbiotic Nitrogen Fixation, Carbon Dioxide Elevation, and Climatic Change on Legume Growth
J. Environ. Qual., March 1, 2002; 31(2): 634 - 641.
[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 © 1986 by the Crop Science Society of America.