首页> 外文期刊>HortScience >Root zone temperatures of Viburnum odoratissimum grown in the multipot box system and conventional systems: measurement and analyses of temperature profiles and predicting root zone temperatures.
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Root zone temperatures of Viburnum odoratissimum grown in the multipot box system and conventional systems: measurement and analyses of temperature profiles and predicting root zone temperatures.

机译:在多罐箱系统和常规系统中生长的荚莲荚莲(Viburnum odoratissimum)的根区温度:温度曲线的测量和分析以及预测根区温度。

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摘要

This research study evaluates the effectiveness of a recently introduced irrigation-plant production system, multipot box system (MPBS), for moderating root zone temperature (RZT) compared with the conventional nursery containers. The study also deals with the development, calibration, and validation of a series of models that can be used to predict maximum (max) and minimum (min) RZTs using commonly available input variables. The Viburnum odoratissimum (Ker.-gawl.) was used as the test plant. Models were calibrated in the fall growing season and validated during the summer. The RZT was used as the dependent variable while the max and min air temperatures (Tmax and Tmin) and/or incoming solar radiation (Rs) were used as independent variables. The colour of the MPBS had an effect on plant growth. Plants grown in the white MPBS had higher growth indices, shoot and root dry weights, and number of stems as compared with the plants in the black MPBS or the conventional (control) system (CS). White MPBS maintained cooler RZTs than the max air temperature during both seasons. Also, white MPBS maintained cooler RZTs than the black MPBS and CS during the two seasons. In both seasons, water temperature in the black MPBS was higher than the temperature in the white MPBS contributing to the high RZTs in the black MPBS. The RZT of the black MPBS and CS exceeded the critical value (40 degrees C), which is cited in the literatures as negatively impacting root growth, water and nutrient uptake, leaf area, plant survival, root and shoot dry weights, water status, and photosynthesis. The RZT in the CS was above 45 degrees C for most of the summer season and plants were exposed to this extreme temperature for a few hours a day during most of the summer. The white MPBS provided a better environment and enhanced plant growth. For regions where ambient air temperature ranged from 2 to 41 degrees C, the white MPBS can provide adequate and effective RZT protection for plants grown in No. 1, 3.8-L standard black conventional containers. Predicted RZT values were well correlated with measured values in all systems. Rs did not have an effect on predicting RZTmax in the MPBS treatments. Wind speed did not contribute to predicting RZT in any production systems. The root mean square error between measured and predicted RZT was relatively low ranging from 0.9 to 2.8 degrees C. Models were able to explain at least 74% of the variability in RZTs using only Tmax, Tmin, and/or Rs. Models developed in this study should be applicable for estimating RZTs when similar management and cultural practices are present. Models of this study are practical, simple, and applicable to predict RZTs where ambient air temperature ranges from 1.9 to 40 degrees C. Model results should not be extrapolated beyond these limits..
机译:这项研究评估了与传统的育苗容器相比,最近引入的灌溉植物生产系统多罐箱系统(MPBS)降低根区温度(RZT)的有效性。该研究还涉及一系列模型的开发,校准和验证,这些模型可用于使用常用输入变量来预测最大(最大)和最小(最小)RZT。荚Vi荚K(Ker.-gawl。)用作测试植物。在秋季生长季节对模型进行校准,并在夏季进行验证。 RZT用作因变量,而最高和最低气温(Tmax和Tmin)和/或入射太阳辐射(Rs)用作自变量。 MPBS的颜色对植物生长有影响。与黑色MPBS或常规(对照)系统中的植物相比,在白色MPBS中生长的植物具有更高的生长指数,枝条和根的干重以及茎数。在两个季节中,白色MPBS的RZT保持低于最高气温。同样,在两个季节中,白色MPBS的RZT比黑色MPBS和CS的凉爽。在两个季节中,黑色MPBS中的水温都高于白色MPBS中的水温,这导致黑色MPBS中的高RZT。黑色MPBS和CS的RZT超过了临界值(40摄氏度),在文献中被引用为对根部生长,水分和养分吸收,叶面积,植物存活,根和茎干重,水分状况,和光合作用。在整个夏季的大部分时间里,CS的RZT都高于45摄氏度,并且在整个夏季的大部分时间里,植物每天都暴露于这种极端温度下几个小时。白色MPBS提供了更好的环境并增强了植物的生长。对于周围空气温度在2到41摄氏度之间的区域,白色MPBS可以为1号,3.8升标准黑色常规容器中生长的植物提供足够有效的RZT保护。在所有系统中,预测的RZT值与测量值均具有良好的相关性。在MPBS治疗中,Rs对预测RZTmax没有影响。风速对任何生产系统中的RZT预测均无贡献。测量和预测的RZT之间的均方根误差相对较低,范围为0.9到2.8摄氏度。模型仅使用Tmax,Tmin和/或Rs就能解释RZT的至少74%的变异性。当存在类似的管理和文化实践时,本研究中开发的模型应适用于估算RZT。这项研究的模型实用,简单,可用于预测周围空气温度在1.9到40摄氏度之间的RZT。模型结果不应外推到这些限制之外。

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