| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
Grain Crops Inst., Private Bag X1251, Potchefstroom, 2520 Republic of South Africa
Dep. of Agronomy, 304 Newell Hall, Univ. of Florida, Gainesville, FL 32611
Dep. of Agricultural Engineering, 110 Roger Hall, Univ. of Florida, Gaineville, FL 32611
EPAGRI/SC - Empresa de Pesquisa Agropecuaria e Difusao de Tecnologia de Santa Catarine S.A., Caixa Postal 502, 88001 Florianopolis, SC, Brazil
* Corresponding author (e_piper{at}ops1.agric.za).
Unbiased prediction of plant growth stages is essential for accurate simulation of stage-specific responses to environmental factors. The phenology model in SOYGRO V5.42 was compared with the phenology model in CROPGRO V3.0 for prediction of flowering and maturity date. Data came from 17 sources in North America and covered a wide range of maturity groups. An additional large-scale data set from the U.S. Soybean Uniform Tests was used to evaluate predictions of maturity date. Parameters of the phenology models were estimated with an optimization procedure in which the downhill simplex method determined the direction of the search. While the optimization procedure was valuable to estimate the parameters, additional criteria were required to obtain realistic values. Based on the root mean square error (RMSE) criterion between predicted and observed dates, SOYGRO and CROPGRO predicted flowering equally well. Development rate after flowering was underpredicted by SOYGRO in cool environments so that in some years, maturity was predicted very late. CROPGRO has a separate temperature function after beginning seedfill, which decreased the RMSE for prediction of maturity date compared with SOYGRO, especially for early maturity cultivars. Allowing the critical short day length to increase after flowering date in the CROPGRO model consistently decreased the RMSE for prediction of beginning seedfill and maturity. CROPGRO was superior to SOYGRO for prediction of maturity date.
Received for publication May 26, 1995.
This article has been cited by other articles:
|
|
 |
|
  A. G. Kantolic and G. A. Slafer Development and Seed Number in Indeterminate Soybean as Affected by Timing and Duration of Exposure to Long Photoperiods after Flowering Ann. Bot., May 1, 2007; 99(5): 925 - 933. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 C. D. Messina, J. W. Jones, K. J. Boote, and C. E. Vallejos A Gene-Based Model to Simulate Soybean Development and Yield Responses to Environment Crop Sci., January 24, 2006; 46(1): 456 - 466. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 P. Pedersen, K. J. Boote, J. W. Jones, and J. G. Lauer Modifying the CROPGRO-Soybean Model to Improve Predictions for the Upper Midwest Agron. J., March 1, 2004; 96(2): 556 - 564. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
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]
|
|
|
|
|
|
D. W. Stewart, E. R. Cober, and R. L. Bernard Modeling Genetic Effects on the Photothermal Response of Soybean Phenological Development Agron. J., January 1, 2003; 95(1): 65 - 70. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
T. Mavromatis, K. J. Boote, J. W. Jones, G. G. Wilkerson, and G. Hoogenboom Repeatability of Model Genetic Coefficients Derived from Soybean Performance Trials across Different States Crop Sci., January 1, 2002; 42(1): 76 - 89. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. A. Andresen, G. Alagarswamy, C. A. Rotz, J. T. Ritchie, and A. W. LeBaron Weather Impacts on Maize, Soybean, and Alfalfa Production in the Great Lakes Region, 1895-1996 Agron. J., September 1, 2001; 93(5): 1059 - 1070. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
E. R. Cober, D. W. Stewart, and H. D. Voldeng Photoperiod and Temperature Responses in Early-Maturing, Near-Isogenic Soybean Lines Crop Sci., May 1, 2001; 41(3): 721 - 727. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
T. Mavromatis, K.J. Boote, J.W. Jones, A. Irmak, D. Shinde, and G. Hoogenboom Developing Genetic Coefficients for Crop Simulation Models with Data from Crop Performance Trials Crop Sci., January 1, 2001; 41(1): 40 - 51. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Irmak, J. W. Jones, T. Mavromatis, S. M. Welch, K. J. Boote, and G. G. Wilkerson Evaluating Methods for Simulating Soybean Cultivar Responses Using Cross Validation Agron. J., November 1, 2000; 92(6): 1140 - 1149. [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 | |||
