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本文通过单因子分析，发现甘蔗新台糖１号的生长发育期内降雨、积温、日照时数的连续累计值与株高生长呈极显著的线性相关。以Ｒｉｃｈａｒｄｓ方程作为基本模型，经综合分析确定并用Ｍａｒｑｕａｒｄｔ迭代法建立了综合预测模型［Ｈ＝４３９．４５６９０（１－ｅ－０．００００７２３６６Ｐ＋０．０００３４７０９Ｓ－０．００２８１０６Ｔ－０．００７１３１９Ｄ）５．３６３８０］，该模型因其含有时间变量和各参数能作出合理的解释，而对样本资料具有灵活的切合性能和适用性。它既可用于预测，又可用于对生态系统的调控。经对该模型参数和实际资料的进一步分析，得出降雨对株高生长影响最大，其次为积温和日照时数。同时得出土壤含水量每增加１％（基数为１３．０６３４％）相当于降雨量增加３２．５ｍｍ，甘蔗株高每天可增高２ｃｍ。
In this paper, through single factor analysis, it was found that there was a significant linear correlation between the continuous cumulative values of rainfall, accumulated temperature and sunshine duration and the plant height growth of Sugarcane Xintai Tang 1 during its growth and development. The Richards equation was taken as the basic model, and a comprehensive prediction model was established by the Marquardt iteration method [H = 439.45690 (1-e-0.000072366P + 0.00034709S-0.0028106T-0.0071319D) 5.36380] The model can reasonably explain its time-varying variables and parameters, and has flexible applicability and applicability to sample data. It can be used both for prediction and for ecosystem regulation. After further analysis of the model parameters and actual data, it is concluded that rainfall has the greatest impact on plant height growth, followed by accumulated temperature and sunshine hours. At the same time, every 1% increase of soil water content (base number is 13.0634%) is equivalent to an increase of 32.5mm rainfall, and the sugarcane plant height can be increased by 2cm per day.