| 张芳,张建丰,乔晓军,薛绪掌,王利春,陈晓丽,李友丽.环境因子对负水头供液下温室番茄耗液量影响的通径分析[J].干旱地区农业研究,2018,36(3):9~16 |
| 环境因子对负水头供液下温室番茄耗液量影响的通径分析 |
| Path analysis of the impact of environmental factors on daily consumption of tomato of supplying nutrient solution using negative pressure in greenhouse |
| |
| DOI：10.7606/j.issn.1000-7601.2018.03.02 |
| 中文关键词: 负水头灌溉技术；环境因子；温室；番茄 日耗液量；通径分析 |
| 英文关键词:negative pressure irrigation technique environmental factors greenhouse tomato daily consumption path analysis |
| 基金项目:北京市自然科学基金资助项目(6142008) |
|
| 摘要点击次数: 1014 |
| 全文下载次数: 500 |
| 中文摘要: |
| 采用Pearson相关分析法研究负水头供液下不同淋洗时间和淋洗量处理下温室番茄日耗液量与空气相对湿度、气温和太阳辐射强度等环境因子的相关关系，采用通径分析原理分析各环境因子对番茄日耗液量的直接作用和间接作用，并建立了多元回归模型。结果表明：番茄日耗液量与各环境因子均呈显著线性相关（P<0.05），其中与日平均太阳辐射强度和日最高太阳辐射强度的正相关性最强；与日最高相对湿度的负相关最强。日平均太阳辐射强度是番茄日耗液量的主要决策因子，决策系数为45.7%，日有效积温是主要限制因子，决策系数为-459.6%。番茄日耗液量模拟值与实测值的回归系数平方值为0.965。建立的多元线性回归模型可较好地预测番茄日耗液量。 |
| 英文摘要: |
| A experiment was conducted to explore the correlations between the daily consumption of tomato of supplying nutrient solution using negative pressure in greenhouse and the related environment factors such as air relative humidity, air temperature and solar radiation intensity under different leaching time and volume with supplying nutrient solution using negative pressure with Pearson correlational analysis method, and direct and indirect actions of environmental factors on tomato daily consumption with path analysis were also analyzed. A regression model for the daily consumption of tomato of supplying nutrient solution using negative pressure in greenhouse was established. The results showed that the daily consumption of tomato had significant linear correlation (P<0.05) with environment factors, including strongest positive correlation with daily average solar radiation intensity and daily maximum solar radiation intensity, and strongest negative correlation with daily maximum relative humidity. Daily average solar radiation intensity was the main decision factor of the daily consumption of tomato with the decision coefficient 45.7%, and daily effective accumulated temperature was the main limiting factor with the decision coefficient being -459.6%. The square value of the regression coefficient between the simulated and measured tomato daily consumption was 0.965. The regression model established by using the main environment factors could better simulate the daily consumption of the daily consumption of tomato of supplying nutrient solution using negative pressure in greenhouse. |
| 查看全文 查看/发表评论 下载PDF阅读器 |