HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Heiniger, R. W. Articles by Muchow, R. C. Search for Related Content PubMed Articles by Heiniger, R. W. Articles by Muchow, R. C. Agricola Articles by Heiniger, R. W. Articles by Muchow, R. C.

Developing Guidelines for Replanting Grain Sorghum: II. Improved Methods of Simulating Caryopsis Weight and Tiller Number

Crop Sci. Dep., North Carolina State Univ., Raleigh, NC 27695-7620

Richard L. Vanderlip and Stephen M. Welch

Dep. of Agronomy, Kansas State Univ., Manhattan, KS 66506-5501

Russell C. Muchow

CSIRO, Div. of Tropical Crops and Pastures, Cunningham Lab., 306 Carmody Rd., St. Lucia, QLD 4067, Australia

^* Corresponding author (rheinig{at}plymouth.ces.ncsu.edu).

Enhancing the yield prediction accuracy of SORKAM, a growth model for sorghum [Sorghum bicolor(L.) Moench], requires improving the simulation of grain growth and the relationship between tiller number and minimum temperature. A new grain growth equation, developed from 1990 data collected at Manhattan, KS, relates grain-filling rate to the rate of change of plant dry matter per caryopsis during the effective filling period. Additional functions are specified for the lag and leveling-off phases of caryopsis growth, resulting in a new submodel, which was tested against data from Kansas and two Australian sites. The tiller number calculation was revised using three years of Manhattan data. After incorporating the new submodels, SORKAM outputs were compared with observed yields and yield components in three Kansas regions. The R² values for yield increased from 0.27, 0.46, and 0.79 to 0.76, 0.69, and 0.90 for eastern, central, and western Kansas, respectively. Caryopsis weight comparisons showed that the revised model accounted for 48 to 72% of observed variability, up from 15 to 57% for the original model. Tiller number predictions also improved, although modestly.

Received for publication September 22, 1994.

This article has been cited by other articles:

				R. L. Baumhardt, J. A. Tolk, T. A. Howell, and W. D. Rosenthal Sorghum Management Practices Suited to Varying Irrigation Strategies: A Simulation Analysis Agron. J., April 4, 2007; 99(3): 665 - 672. [Abstract] [Full Text] [PDF]

				R. L. Baumhardt and T. A. Howell Seeding Practices, Cultivar Maturity, and Irrigation Effects on Simulated Grain Sorghum Yield Agron. J., April 11, 2006; 98(3): 462 - 470. [Abstract] [Full Text] [PDF]

				R. L. Baumhardt, J. A. Tolk, and S. R. Winter Seeding Practices and Cultivar Maturity Effects on Simulated Dryland Grain Sorghum Yield Agron. J., May 13, 2005; 97(3): 935 - 942. [Abstract] [Full Text] [PDF]

				G. L. Hammer and I. J. Broad Genotype and Environment Effects on Dynamics of Harvest Index during Grain Filling in Sorghum Agron. J., January 1, 2003; 95(1): 199 - 206. [Abstract] [Full Text] [PDF]

				T. A. LAFARGE and G. L. HAMMER Tillering in Grain Sorghum over a Wide Range of Population Densities: Modelling Dynamics of Tiller Fertility Ann. Bot., July 1, 2002; 90(1): 99 - 110. [Abstract] [Full Text] [PDF]