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Postma and Lynch

Parameterization

Parameterization was based on empirical data only; we did not calibrate the model. Parameters used in this study, with the references for these parameters, can be found in Supplemental Appendix S1.

Random Number Generator

SimRoot uses a random number generator to simulate natural variation in growth rates, direction, and branching frequency. The model results are different when we simulate this variation than if we use average values because of the nonlinearity of many processes (data not shown). The random number generator causes some variation in the results from different runs, which is multiplied when calculating the RCA benefit, because this calculation involves data of two simulation runs. We repeated our runs eight times to estimate this variation and show SE bars for this variation in the figures.

Runs

In total, we performed 2,200 runs on the PennState clusters lionxi and lionxj (http://rcc.its.psu.edu/hpc/systems). We varied the following: (1) percentage RCA formation; (2) the functional utility of RCA, either a relocation or a respiration benefit, or both; (3) the availability of nitrate, phosphorus, and potassium in the soil, from low to sufficient; (4) soil texture: loamy sand and silt loam; (5) precipitation: 62, 124, and 248 mm over 40 d of growth; (6) genotypes: inbred genotypes H99 and w64a and hybrid genotype 36H56; (7) our “max RCA” reference genotype with and without RCA formation in the lateral roots; and (8) our reference genotype with and without root maintenance respiration.

Supplemental Data

The following materials are available in the online version of this article.

Supplemental Appendix S1. SimRoot parameterization.

Supplemental Appendix S2. Animated movie of root growth and RCA distribution.

Supplemental Appendix S3. Figures for comparing the Barber-Cushman model with SWMS3D.

ACKNOWLEDGMENTS

We acknowledge the important contributions of Dr. Annette Dathe to the development of both the Simunekand Barber-Cushman-based modules that were used in this article. We are grateful for her assistance in solving the underlying mathematics of the Barber-Cushman model and her intense involvement in the strategic planning, implementation, and testing of the link between SimRoot and SWMS3D. We thank Dr. Maria Bredina Postma-Blaauw and Dr. Eric Nord for their helpful review of the manuscript.

Received March 1, 2011; accepted May 6, 2011; published May 31, 2011.

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