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Ian-Huei Yau, Joan R. Davenport, and Michelle M. Moyer

Model (PRISM) monthly normal summations from 1971 to 2000. PRISM produces official climate data sets for the USDA using a vast network of weather stations, relying on a large community of climate experts and modeling numerous environmental factors

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Dewayne L. Ingram and Charles R. Hall

data from the literature that was compiled and calculated in a spreadsheet. This validated the use of SimaPro for estimating midpoint environmental impacts in green industry production systems. Literature Cited Alcamo, J. Henrichs, T. Rosch, T. 2000

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Rolston St. Hilaire, Theodore W. Sammis, and John G. Mexal

environment and to ensure that ambient air temperature was measured correctly. Several students downloaded environmental data from the data loggers weekly using a portable computer. Data were imported into Excel (Microsoft, Redmond, WA), graphed, and presented

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

containers. Our goal was to use daily lysimeter and environmental data to more precisely understand DWU over an entire production cycle in a production environment. Specific objectives were to 1) determine DWU of Hydrangea macrophylla and Gardenia

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Haofeng Chen, Vanessa E.T.M. Ashworth, Shizhong Xu, and Michael T. Clegg

species, perhaps because of environmental differences between the locations, the different planting times of trees, and the low level of genotype replication in the two locations. The low heritability of fruit set may be also incited by limited data (only

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

understood. It was found that in some cultivars such as Derby and Meteor, three preceding weekly yields gave a good estimate of current yield by using time series analysis ( Verroens et al., 2006 ). They also found that the inclusion of environmental

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Donald R. Davis

data (e.g., sampling, analytical and environmental variations). However, with historical data, one can never exclude possible systematic errors that could affect any of the median R values in either direction. For example, it is known that some early

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Derek W. Barchenger, Robert A. Clark III, Paul A. Gniffke, Dolores R. Ledesma, Shih-wen Lin, Peter Hanson, and Sanjeet Kumar

environments in the breeding program. It is also possible that the environments in this study were too diverse, resulting in high environmental effects. It might be useful to analyze the data in terms of broad macroenvironments in future studies; however, as a

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Arthur Villordon, Julio Solis, Don LaBonte, and Christopher Clark

allow combining of domain-specific (expert knowledge) and empirical data obtained from planned or ongoing experiments. An added benefit is that BBNs can learn from small and incomplete data sets ( Uusitalo, 2007 ). BBNs have been used extensively in

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A.J. Both, E. Reiss, J.F. Sudal, K.E. Holmstrom, C.A. Wyenandt, W.L. Kline, and S.A. Garrison

dataloggers (model 21X; Campbell Scientific, Logan, UT). At HF3, data were recorded using 1-min measurement averages, whereas 5-min averages were recorded at RAREC (where additional, nonrelated environmental data were recorded, necessitating the longer