To predict mulberry (Morus alba L. ‘Shin-ichinose’) vegetative growth, I constructed shoot elongation and leaf appearance models for mulberry grown in field conditions. The shoot elongation rate and leaf appearance rate were decided by the product of growth activity (GA) and potential rates (PR) realized at the maximum GA under a given environmental condition. GA is dimensionless and ranges from 0 to 1. GA and PR of shoot elongation rate were determined by temperature, photoperiod and shoot length, and temperature and shoot length, respectively. GA and PR of leaf appearance rate were determined by photoperiod, and temperature, respectively. Model parameters were estimated by an iterative method using five-year mulberry growth data. The values calculated by both models were similar to the measured values and represented annual fluctuation well. These models also showed good estimation of data, which were not used for determining parameters. Therefore, it seems that these models well represent mulberry vegetative growth response to temperature and photoperiod, and are practical.
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机译：为了预测桑树（Morus alba L.'Shin-ichinose'）的营养生长，我为田间条件下种植的桑树构建了茎伸长和叶片外观模型。在给定的环境条件下，枝条伸长率和叶片出现率取决于生长活性（GA）和最大GA下实现的潜在速率（PR）的乘积。 GA是无量纲的，范围是0到1。芽伸长率的GA和PR分别由温度，光周期和芽长以及温度和芽长决定。叶片出现率的GA和PR分别通过光周期和温度确定。使用五年桑树生长数据，通过迭代方法估算模型参数。这两个模型计算出的值与实测值相似，很好地表示了年度波动。这些模型还显示出对数据的良好估计，这些数据并未用于确定参数。因此，这些模型似乎很好地代表了桑树对温度和光周期的营养生长反应，并且是实用的。
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