摘要
为了提高日光温室黄瓜果实生长的预测能力,根据温室黄瓜果实生长指标对温室小气候因子的响应,分析了温室黄瓜果实生长天数与温室小气候因子的关系,建立了基于多项温室小气候因子的黄瓜果实体积增量预测模型;并用独立的试验数据进行了预测检验。结果表明:同一棵植株不同时间段黄瓜发育所需天数的变异系数相对较大,最小值为37.3%,最大值为48.1%;同一时间段,不同植株之间黄瓜果实生长天数差异很小。综合分析相关性和独立性,选取同期11~34℃日有效积温及1d前的气温日较差和日平均相对湿度为黄瓜果实体积增量的预测因子,据此建立的模型对温室黄瓜果实体积增量独立数据的预测值与实测值的符合度较好,相对误差为29.06%,决定系数为0.78,且具有较好的可移植性。上述模型可用于日光温室黄瓜生长和产量的分析预测。
In order to improve the prediction ability sunken sunlight greenhouse cucumber fruit growth, green- house cucumber fruit growth indicators response to the micro-climatic factors, to establish greenhouse cucumber fruit growth day number and small climatic factors of the relationship between model and the analysis, established based on a number of small climate factor cucumber fruit volume increment prediction model, and the independent test data prediction test. The results showed that : the coefficient of variation of the same plant in different periods of cucumber growth of days required is relatively large, the minimum value is 37.3% , the maximum value is 48.1% ; the comprehensive and independent correlation analysis, selects the 11 -34 ~C effective accumulated temperature the same day, daily range of air temperature and daily average relative humidity both 1 d ago as predictors of cucum- ber fruit volume increment, pursuant to which the model of greenhouse cucumber fruit volume increment predicted and measured values of the independent data fit better, relative error of 29.06% , and the coefficient of determina- tion was 0.78, and has good portability. For the sunken greenhouse cucumber in the analysis and prediction of growth and yield model can be used.
出处
《科学技术与工程》
北大核心
2014年第9期1-5,24,共6页
Science Technology and Engineering
基金
公益性行业(气象)科研专项(GYHY201006028和GYHY201306039)
科技部农业资金转化项目(2008GB24160441)
江苏省普通高校研究生科研创新计划(CXZZ13_0521)资助
关键词
果实生长
小气候
模型
日光温室
黄瓜
fruit growth microclimate model solar greenhouse cucumber