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为确定苹果树体的有效吸收期并建立初始流速v_0与有效吸收期内树体吸收量的回归方程,以纯水为注射液,研究了输液流速与树体吸收量的关系,通过统计软件分析相邻观测时间与对应流速间的函数关系,建立了初始流速v_0与树体有效吸收期内吸收量的回归方程。结果表明:树体的有效吸收期为注射开始后0~48 h;相邻观测时间与对应的流速间存在极显著的一元线性关系和幂函数曲线关系,同时注射期间温度对流速具有一定影响,温度上升时流速上升,温度下降则流速亦下降;v_0与48 h内树体的吸收量呈显著回归关系。建立回归方程时,若不区分9:00 am开始注射时的初始流速v_0与注射开始后3 h(12:00 am)时流速v3的比值(流速比,v_0/v3)关系,且v_0在0~1 m L/min时,采用一元回归方程时的差异率显著高于幂函数方程,而当v_0在2~4 m L/min时,采用幂函数方程的差异率显著高于一元回归方程;若区分流速比,且流速比为0.6~1,v_0为1~4 m L/min时,采用一元函数方程估测的差异率显著低于幂函数方程,流速比为1~1.6,v_0为0~4 m L/min时,一元函数与幂函数方程估测的差异率无显著性差异。在不区分流速比的情况下,两类方程的差异率均在20%~30%之间。因此,当v_0在0~1 m L/min之间时,建议采用幂函数方程;当v_0为1~2 m L/min时,采用一元函数或幂函数方程均可;当v_0在2~4 m L/min之间时,建议采用一元函数方程。区分流速比时,两类方程的差异率均小于15%。因此,当流速比为0.6~1,v_0在0~1 m L/min之间时,采用一元函数或幂函数方程均可,当v_0为1~4 m L/min时,建议采用一元函数方程;当流速比为1~1.6,v_0在0~4 m L/min之间时,采用一元函数或幂函数方程均可。
In order to determine the effective absorption period of apple tree and to establish the regression equation of the initial flow rate v_0 and the absorption of the tree during the period of effective absorption, the relationship between the flow rate of infusing solution and the amount of tree absorption was studied by using pure water as the injection. Through statistical software analysis The relationship between the adjacent observation time and the corresponding flow rate was established and the regression equation of the initial flow rate v_0 and the absorption amount during the effective absorption period of the tree was established. The results showed that the effective absorption period of the tree was 0 ~ 48 h after the start of injection, and there was a very significant linear relationship and power function curve between the adjacent observation time and the corresponding flow rate. Meanwhile, the temperature had an influence on the flow rate during injection, When the temperature rises, the flow rate increases, while the temperature decreases, the flow rate also decreases. V_0 has a significant regression relationship with the absorption of the tree within 48 h. When establishing the regression equation, if the relationship between the initial flow rate v_0 at the time of injection start at 9:00 am and the flow rate v3 at 3 h (12:00 am) after the start of injection (flow rate ratio, v_0 / v3) is not distinguished and v_0 is at 0 ~ 1 m L / min, the difference rate when using the univariate regression equation is significantly higher than that of the power function equation, while when v_0 is 2 ~ 4 m L / min, the difference rate using the power function equation is significantly higher than that of the univariate regression equation; If the flow velocity ratio is differentiated and the flow velocity ratio is 0.6 to 1 and v_0 is 1 to 4 m L / min, the variance rate estimated by the univariate function equation is significantly lower than the power function equation, the flow velocity ratio is 1 to 1.6 and v_0 is 0 ~ 4 m L / min, the difference between the univariate and power function equations was not significantly different. Without distinction between flow rate ratio, the difference between the two types of equations are between 20% to 30%. Therefore, when v_0 is between 0 and 1 m L / min, the power function equation is suggested. When v_0 is between 1 and 2 m L / min, the univariate function or the power function equation can be used. When v_0 is between 2 and 4 m L / min, it is recommended to use the one-way function equation. Differentiating the velocity ratio, the difference between the two types of equations were less than 15%. Therefore, when the flow velocity ratio is 0.6 ~ 1 and v_0 is between 0 ~ 1 m L / min, the univariate function or power function equation can be used. When v_0 is 1 ~ 4 m L / min, When the flow velocity ratio is 1 ~ 1.6 and v_0 is 0 ~ 4 m L / min, the univariate function or power function equation can be used.