首页|日光温室黄瓜果实生长与温室小气候的关系

日光温室黄瓜果实生长与温室小气候的关系

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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.
Relationship between Cucumber Fruit Growth and Microclimate in Solar Greenhouse
In order to improve the prediction ability sunken sunlight greenhouse cucumber fruit growth,greenhouse 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 ℃ effective accumulated temperature the same day,daily range of air temperature and daily average relative humidity both 1 d ago as predictors of cucumber 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 determination 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.

fruit growthmicroclimatemodelsolar greenhousecucumber

王春玲、魏瑞江、康西言、王鑫、邢文发、朱慧钦

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南京信息工程大学应用气象学院,南京210044

河北省气象科学研究所,石家庄050021

河北省气象与生态环境重点实验室,石家庄050021

河北省高邑县气象局,河北高邑051330

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果实生长 小气候 模型 日光温室 黄瓜

公益性行业(气象)科研专项科技部农业资金转化项目江苏省普通高校研究生科研创新计划

GYHY201006028和GYHY2013060392008GB24160441CXZZ13_0521

2014

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2014.14(9)
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