江苏淮安日光能温室光温指标在黄瓜生长发育中的应用
The Application of Light Temperature Indicators on Cucumber in Jiangsu Huaian Solar Greenhouse
徐海斌 1陈富平 1王丽平 1姜晓剑2
作者信息
- 1. 江苏省徐淮地区淮阴农业科学研究所,江苏淮安223001
- 2. 江苏省区域现代农业与环境保护协同创新中心,江苏淮安 223003
- 折叠
摘要
根据江苏淮安地区设施黄瓜栽培的生产实践,基于黄瓜生理发育时间构建黄瓜发育模拟模型.试验期间每天对黄瓜发育状况进行观测,并记录各个生育阶段的起始日期;通过监测设备采集光温数据,每5 min自动记录监测数据并存入数据库中;采用编程的方式读取光温数据并根据温度变化绘制曲线,逐日计算生理发育时间,对黄瓜设施生产进行预测和模拟.结果表明,从播种到发芽期、苗期、开花期,模型预测与实际观测的生育期天数误差较小,分别为-1、-2和-3d,总体上可以较好地模拟预测黄瓜的生育期进程.该模型充分利用了设施农业精确的光温监测,改进了生育期模拟模型中的热效应积累算法,提高了黄瓜生理发育时间的计算精度,不仅可以用于预测、调控设施黄瓜生产中的生育期,而且可以为其生产环境的智能调控提供决策支持.
Abstract
According to production practice of cucumber cultivation in Huaian Region,Jiangsu Province,cucumber growth model was built based on physiological development time.During the period,the growth status of cucumber was observed,the initial date of each growth period was recorded;light temperature data was collected through monitoring equipment,recording data and storing in database every 5 min automatically;by using programming way to read and according to temperature variation,change curve was made,daily physiological development time was calculated,cucumber production was predicted and simulated.The results showed that from sowing to germination period,seedling period,flowering period,the error between model simulation and actual observation are-1,-2,and-3 d.The model makes full use of precise light temperature,improves the calculation accuracy of physiological development time,not only can be used to predict and regulate growth period in cucumber production,but also provide policy-making support for intelligent regulation of production environment.
关键词
黄瓜/光温/生长模型Key words
Cucumber/Light temperature/Growth model引用本文复制引用
基金项目
江苏徐淮地区淮阴农业科学研究所所长基金()
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据