Study on Variation Characteristics and Prediction Model of Stem Sap Flow of Jujube Under Different Injection Irrigation Models

• 作者: Caili YU
• 来源期刊: 农业生物技术:英文版
• 学科: 医学
• 关键词: Stem sap flow rate Correlation analysis Regression analysis Time series
• 年，卷（期）: 2020,（4）
• 页码范围: 68-71
• 页数: 4页
• 分类号: R57

摘要

[Objectives]This study was conducted to study the variation laws and characteristics of stem sap flow rate in jujube under the injection irrigation mode,to improve the growth quality of jujube trees.[Methods]According to the characteristics of the growth environment and physiological characteristics of jujube Junzao trees in southern Xinjiang,eight different injection irrigation modes were designed.Through the variation of stem sap flow rate,the most suitable irrigation method for jujube Junzao trees in southern Xinjiang was explored.The variation law of stem sap flow rate of jujube and the effect of meteorological factors on stem sap flow rate of jujube were studied.The variation law of stem sap flow in jujube trees was analyzed,and multiple regression models and time series models were established to predict stem sap flow of jujube trees.[Results]The results showed that the simulation results of the time series model were closer to the actual data,and the model could accurately predict the stem sap flow rate of Junzao.[Conclusions]This study is suitable for the full utilization of water resources in the Tarim Basin in southern Xinjiang,and has important practical significance for analyzing the effect of water stress on the growth and development of jujube trees and precision irrigation.