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An Alternative Model to Predict Corn Seed Deterioration during Storage

Shande Tanga, Dennis M. TeKronyb, Dennis B. Eglib and Paul L. Corneliusb

a RiceTec, Inc., P.O. Box 1305, Alvin, TX 77512 USA
b Dep. of Agronomy, University of Kentucky, Lexington, KY 40546-0091 USA



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Fig. 1 Comparison of observed and predicted storage environment coefficients (SEC). Predicted SECs were calculated with Eq. [9] and constants developed with data from Seed Lot 8. Data from Exp. 3. The solid line represents the 1:1 line and the dashed lines represent ± 10% of the 1:1 line

 


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Fig. 2 Comparison of observed and predicted P50 for Seed Lots 1 and 4 stored at a range of temperatures (30–50°C) and seed moisture contents (120–160 g kg-1). Data from the 40°C–160 g kg-1 and 50°C–120 g kg-1 storage environments were used as the rapid-aging test and the constants used in Eq. [9] were developed using data from Seed Lots 8 to 11 (Table 3)

 


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Fig. 3 Comparison of observed and predicted P90 for Seed Lots 1 and 4 stored at a range of temperatures (30–50°C) and seed moisture contents (120–160 g kg-1). Data from the 40°C–160 g kg-1 and 50°C–120 g kg-1 storage environments were used as the rapid-aging test and the constants used in Eq. [9] were developed using data from Seed Lots 8 to 11 (Table 3)

 


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Fig. 4 Comparison of observed and predicted P90 for Seed Lots 1, 4, 9, 10, and 11 stored at a range of temperatures (30–50°C) and seed moisture contents (120–160 g kg-1). Data from the 40°C–160 g kg-1 storage environment were used as the rapid-aging test and the constants used in Eq. [9] were developed using data from Seed Lot 8 (Table 3)

 





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