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Karen K. Tanino and Ruojing Wang

temperature difference, and daylength were selected as major parameters to construct models for predicting yield potential in this study. Previous studies indicate modeling approaches that are based on physiological responses of plants to their environment

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Lucas O’Meara, Marc W. van Iersel, and Matthew R. Chappell

the development of quantitative irrigation guidelines and/or weather-based irrigation models could assist nursery and floriculture growers in reducing their water use while still meeting the needs of their crops. This is especially true because growers

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Richard C. Beeson Jr.

seasons to reach marketable size. Each species required a unique equation. In 2004, a new model to calculate a crop coefficient, termed water needs index (WNI), was proposed ( Beeson, 2004 ). The term was invented because nursery production and landscapes

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Richard C. Beeson Jr

conserve water. Attempts to develop such an irrigation model for container-grown woody shrubs have been limited. Knox (1989) reported relatively high correlations between pan evaporation, a growth index, and ET A for five woody ornamentals during a

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Mark K. Ehlenfeldt, James J. Polashock, Allan W. Stretch, and Matthew Kramer

means (from the resampling) with the average model estimate of the variance of the mean. In other words, did the actual variance of the means, based on resampling, match what the models estimate this value to be? If they are not close, then the model

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André Pereira and Nilson Villa Nova

assessing physiological crop responses to environmental factors under field conditions, it is possible to derive mathematical models to estimate crop potential production as a function of climatic variables with good precision. Research has been conducted

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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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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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Wei-Chin Lin, Dietmar Frey, Gordon D. Nigh, and Cheng C. Ying

parameters could further improve the model up to 20%. In a recent attempt, Schepers et al. (2006) developed a model applicable to greenhouse peppers. The model was specifically developed for outputs of known biological variables and to simulate assimilate

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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