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首页> 外文期刊>Acta Horticulturae >Prediction of water status by means of an empirical model in orange bearing trees.
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Prediction of water status by means of an empirical model in orange bearing trees.

机译：通过经验模型预测橙色树木中的水分状况。

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During three consecutive years, in a citrus orchard planted with Tarocco 'Meli' and 'Scire' on sour orange (C. aurantium L.) were verified the differences of the plant water status and the possibility to build an empirical model to estimate the psi pd utilizing stem water potential ( psi md) and vapor pressure deficit (VPDmd) measured at midday. The first results showed statistical differences during the irrigation season in the two clones water potential. These difference permitted to separate the data of Tarocco 'Meli' and 'Scire'. As a result, two empirical models were built. The 2nd degree equation ( Psi pd=a+b1 Psi md+b2VPDmd) was obtained by considering the Psi pd as dependent variable, the Psi md and the VPDmd as explanatory variables. ANOVA applied to the multiple regression resulted highly significant with P-value <0.000, indicating highly predictive capacity of the equation. The multiple coefficients of correlation were R=0.783 for Tarocco 'Meli' and R=0.825 for Tarocco 'Scire'. The two models were tested with the method of the cross-validation, a technique for estimating the performance of a predictive model. The observed data showed no statistical differences when compared to the fitted data. The results were discussed in a relation to the application of the empirical model which estimates the Psi pd that seems to be the best indicator of tree water status, without measuring it before dawn.
机译：在连续三年中，在柑桔园中种植了酸橙（ C。aurantium ）上的Tarocco'Meli'和'Scire'的植物，验证了植物水分状况的差异以及建立水的可能性。一个利用干水势（psi md ）和中午测得的蒸气压亏空（VPD md ）估算psi pd 的经验模型。最初的结果表明，在灌溉季节中，两个克隆的水势存在统计差异。这些差异允许将Tarocco“ Meli”和“ Scire”的数据分开。结果，建立了两个经验模型。二次方程（Psi pd = a + b 1 Psi md + b 2 VPD md ）是通过将Psi pd作为因变量，将Psi md 和VPD md 视为解释变量而获得的。应用于多元回归的方差分析具有高度显着性，P值<0.000，表明该方程具有高度预测能力。 Tarocco'Meli'的相关系数为R = 0.783，Tarocco'Scire'的相关系数为R = 0.825。使用交叉验证的方法对这两个模型进行了测试，交叉验证是一种估计预测模型性能的技术。与拟合数据相比，观察到的数据没有统计学差异。讨论了与经验模型的应用有关的结果，该经验模型估计Psi pd 似乎是树木水状况的最佳指标，而无需在黎明前对其进行测量。

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