稻谷深床干燥发芽率模型建立及影响因素

Development of germinating rate model and influencing parameters for paddy rice drying in a deep fixed-bed

为了提高稻谷种子干燥品质,并解决已有稻谷干燥发芽率预测模型应用的局限性,利用深床干燥试验台进行水稻干燥二次回归正交旋转组合试验,构建并验证了稻谷固定深床干燥发芽率一阶动力预测模型,确定并优化模型参数为待定常数Z1=0.06011,待定常数Z2=0.02558,胚蛋白变性活化能E=194.18333,经检验模型预测误差平方和为0.48358,具有较高的预测精度。建立了试验因子与发芽率间关系的回归数学模型,分析了各因素对发芽率的影响规律,利用贡献率法确定了各因素对发芽率影响的主次关系。比较两类模型并利用频数分析法进行了干燥工艺参数优化,给出了发芽率具有95%概率高于90%的参数范围,为种稻干燥生产和干燥设备的参数设计提供参考。

To improve the quality of dried rice seed and solve the application limitation in existing models for predicting germinating rate of dried paddy,we conducted experiments of paddy drying in a deep fixed-bed by using a quadratic orthogonal rotating design.First order dynamic model for predicting germinating rate of paddy dried in deep fixed-bed was developed and verified,model parameters were optimized：undetermined constants of Z1=0.06011 and Z2=0.02558,activation energy of germ protein denaturation E=194.18333.Model examination showed that higher prediction accuracy was achieved with error square sum 0.48358.A regression model describing relations between experiment factor and germinating rate was developed,and impact of experiment factors on germinating rate was analyzed.The order of the factor was clarified though calculation of contribution rate.The two types of model were compared and the parameters for paddy drying were optimized by frequency analytical method.An optimum range of the parameters for germinating rate higher than 90%was given with 95%probability.The results provide useful references for parameter design of drying equipment and drying procedure of rice seed in practice.