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为研究棉籽蛋白质和油分含量与环境因子间的定量关系,选择不同熟性棉花品种在长江流域下游棉区和黄河流域黄淮棉区各2个地点进行分期播种和施氮量试验,分析了品种、主要气象条件和施氮量对棉籽蛋白质和油分含量的影响。结果表明:棉籽蛋白质和油分含量的主要影响因子除品种外依次为铃期平均温度、太阳辐射量和施氮量;棉籽蛋白质和油分形成的最适宜铃期日均温分别为26.1℃和25.7℃;充足的光照不利于棉籽蛋白质和油分含量的提高;增加施氮量提高了棉籽蛋白质含量,降低了油分含量。建立了棉籽蛋白质含量与油分含量的生态模型,模型以品种、铃期平均温度、铃期日均太阳辐射量和施氮量为模型输入,简便易行。模型对棉籽蛋白质含量和油分含量预测的根均方差(RMSE)分别为2.03%和2.54%,具有较好的预测性。
In order to study the quantitative relationship between cottonseed protein and oil content and environmental factors, different cotton cultivars with different maturity were selected for sowing and nitrogen application in two cotton fields in the lower reaches of the Yangtze River valley and in the Huang-huai cotton area of the Yellow River valley. , The main meteorological conditions and the amount of nitrogen on cottonseed protein and oil content. The results showed that the main influencing factors of protein content and oil content of cottonseed were the average temperature of the ring, the amount of solar radiation and the amount of nitrogen application, respectively. The average daily temperature of cottonseed protein and oil was 26.1 ℃ and 25.7 ℃, respectively. Adequate light is not conducive to cottonseed protein and oil content increased; increasing the amount of nitrogen fertilizer increased cottonseed protein content, reducing oil content. The ecological model of protein content and oil content of cottonseed was established. The model was input by the model with the varieties, the average temperature of the bell, the average daily solar radiation and the amount of nitrogen application as the model. The root mean square error (RMSE) of the prediction of cottonseed protein content and oil content was 2.03% and 2.54%, respectively, which showed good predictability.