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L-Y. Li, J.H. Lieth, R.H. Merritt and H.C. Kohl

47 ORAL SESSION 8 (Abstr. 430–435) Modeling–Floriculture/Foliage

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D.C. Bridges and D.S. NeSmith

130 ORAL SESSION 39 (Abstr. 271–273) Cross-commodity: Modeling

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Gina Zirkle, Rattan Lal and Bruce Augustin

/ha/year ( Post and Kwon, 2000 ), and the rate can be as high as 1.1 Mg C/ha/year with fertilizer and irrigation management ( Contant et al., 2001 ; Gebhart et al., 1994 ; Qian and Follett, 2002 ). Qian and Follett (2002) modeled SOC sequestration with

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Mark V. Yelanich and John A. Biernbaum

29 ORAL SESSION 11 (Abstr. 074-080) Cross-commodity: Modeling/Statistics

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Funoh Kwon and Richard A. Criley

29 ORAL SESSION 11 (Abstr. 074-080) Cross-commodity: Modeling/Statistics

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Dan J. Pantone and Robert A. Young

Nonpoint-source pesticide pollution from horticultural and other agricultural activities is a primary factor determining the quality of surface water. A menu-driven, interactive pesticide transport submodel has been developed for the agricultural nonpoint-source (AGNPS) pollution model. AGNPS simulates the surface transport of pesticides, sediment, and water from the headwaters to the outlet in a stepwise manner so that an assessment can be made at any point within a watershed boundary. The model can be used by farmers, agricultural extension agents, agrichemical industry workers, or researchers to develop agricultural activities that minimize the surface transport of pesticides. This user-friendly pesticide transport model is available at no cost to users through the Internet.

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Carlo Fallovo, Valerio Cristofori, Emilio Mendoza de-Gyves, Carlos Mario Rivera, Roberto Rea, Simone Fanasca, Cristina Bignami, Youssef Sassine and Youssef Rouphael

would be more advantageous than many of the methods mentioned here ( Beerling and Fry, 1990 ). Various combinations of measurements and various models relating length and width to area have been developed for many horticultural crops such as cucumber

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Brent Black, James Frisby, Kimberly Lewers, Fumiomi Takeda and Chad Finn

. Models that reliably predict bloom and fruit ripening are useful in understanding the environmental constraints on crop development, which in turn is useful in matching genotypes to their environment for optimum cropping. An understanding of how

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Thomas E. Marler and Nirmala Dongol

decisions. Our foremost objective was to quantify expansion rates of various components of leaves and strobili for the endangered Cycas micronesica and then determine if the growth patterns were amenable to being fitted with mathematical models. We then

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Douglas A. Hopper

for model validation and restructuring. Special thanks to Kevin T. Cifelli for programming in C++.