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核桃树休眠期茎干含水量的动态建模

Dynamic modeling of stem water content during the dormant period in walnut trees.

作者信息

Charrier Guillaume, Améglio Thierry

机构信息

Université Clermont Auvergne, INRAE, PIAF, Clermont-Ferrand F-63000, France.

出版信息

Tree Physiol. 2024 Feb 6;44(1). doi: 10.1093/treephys/tpad128.

DOI:10.1093/treephys/tpad128
PMID:37847599
Abstract

Water content (WC) is a key variable in plant physiology even during the winter period. To simulate stem WC during the dormant season, a series of experiments were carried out on walnut trees under controlled conditions. In the field, WC was significantly correlated with soil temperature at 50 cm depth (R2 = 0.526). In the greenhouse, WC remained low as long as soil temperature was kept cold (<+5 °C) and increased after the soil temperature was warmed to +15 °C regardless of the date. Stem dehydration rate was significantly influenced by the WC and evaporative demand. A parsimonious model with functions describing the main experimental results was calibrated and validated with field data from 13 independent winter dynamics in Juglans regia L. orchards. Three functions of water uptake were tested, and these gave equivalent accuracies (root-mean-square error (RMSE) = 0.127-8; predictive root-mean-square error = 0.116). However, only a sigmoid function describing the relationship between the root water uptake and soil temperature gave values in agreement with the experimental results. Finally, the simulated WC provided a similar accuracy in predicting frost hardiness compared with the measured WC (RMSE ca 3 °C) and was excellent in spring (RMSE ca 2 °C). This model may be a relevant tool for predicting the risk of spring frost in walnut trees. Its genericity should be tested in other fruit and forest tree species.

摘要

即使在冬季,含水量(WC)也是植物生理学中的一个关键变量。为了模拟休眠季节的茎干含水量,在可控条件下对核桃树进行了一系列实验。在田间,含水量与50厘米深度处的土壤温度显著相关(R2 = 0.526)。在温室中,只要土壤温度保持低温(< +5°C),含水量就会保持在较低水平,并且在土壤温度升至+15°C后,无论日期如何,含水量都会增加。茎干脱水率受含水量和蒸发需求的显著影响。利用来自13个独立的核桃(Juglans regia L.)果园冬季动态的田间数据,校准并验证了一个具有描述主要实验结果功能的简约模型。测试了三种水分吸收函数,它们具有相同的精度(均方根误差(RMSE) = 0.127 - 8;预测均方根误差 = 0.116)。然而,只有一个描述根系水分吸收与土壤温度之间关系的S形函数给出的值与实验结果一致。最后,与实测含水量相比,模拟的含水量在预测抗冻性方面具有相似的精度(RMSE约为3°C),在春季表现出色(RMSE约为2°C)。该模型可能是预测核桃树春季霜冻风险相关的工具。其通用性应在其他果树和林木树种中进行测试。

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