Agronomy Journal Journal of Natural Resources and Life Sciences Education
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A Genetic Neural Network Model of Flowering Time Control in Arabidopsis thaliana

Stephen M. Welch*,a, Judith L. Roeb and Zhanshan Donga

a Dep. of Agron., Kansas State Univ., Manhattan, KS 66506
b Div. of Biol., Kansas State Univ., Manhattan, KS 66506



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Fig. 1. Initial genetic neural network. The nodes correspond to genes controlling flowering time. Darker arrows denote the autonomous pathway, and the lighter tone indicates the photoperiod path. The inputs are daylength (L) and days after planting (D). Inputs with underlines were later dropped (see text).

 


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Fig. 2. Neural network notation example: (a) a simple neural network structure, (b) its corresponding notation with example weights, and (c) equivalent computer code. The network inputs are the two variables X1 and X2. The final output is from the C node as indicated by the symbol (C_out in the computer code).

 


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Fig. 3. Predicted vs. observed completion of the inflorescence transition. To focus on the accuracy of the transition, only those data are plotted for which either the predicted or actual values are between 0.05 and 0.95.

 


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Fig. 4. Cumulative distribution of sums of squared errors (SSEs) for 300 random networks. Training for all networks began with parameter values generating an SSE of 31.81. Final SSEs ranged from 6.50 to 31.13. The genetically based network had a final SSE of 0.59.

 


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Fig. 5. Predictions from the final two-temperature model. To simplify the plot, each series is truncated 1 d before (after) the first (last) observed plant transition. Symbols are actual data, and lines are model predictions (denoted A and P in the legend, respectively). The black arrows indicate the switch in the transition order of FVE and CO with cooling (see text).

 


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Fig. 6. Relation between genotype x environment interaction magnitude and differences in genotype means. The shape of the scatter is consistent with both the rarity and existence of exchanges in anthesis date order among pairs of soybean varieties grown in different environments (see text).

 





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