Modelling the effects of soil water potential on growth and quality of cut chrysanthemum (Chrysanthemum morifolium)

Modelling the effects of soil water potential on growth and quality of cut chrysanthemum (Chrysanthemum morifolium)
复制标题

模拟土壤水势对切花菊花(Chrysanthemum morifolium)生长和品质的影响

DOI:
10.1016/j.scienta.2011.06.008
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发表时间:
2011-08
影响因子:
4.3
通讯作者:
Chunjiang Zhao
Chunjiang Zhao
中科院分区:
农林科学2区
文献类型:
--
作者:
(3) Lu Lin;Wenwen Li;Jingqing Shao;Weihong Luo;Jianfeng Da;Xinyou Yin;Yanbao Zhou;Chunjiang Zhao

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为优化温室作物水分管理,建立了土壤水势(WP)对标准切花菊(chrysanthemum morifolium)生长和外在品质影响的完整动态模型。实验用菊花cv。从2006年到2008年,在一个倾斜型温室中进行了不同种植日期和不同水处理水平的“金巴”。首先确定了叶片面积指数(LAI)、干物质分配和外部品质性状(株高、单株叶数、花头直径和花梗长度)的动态变化是累积光热指数(PTI)的函数。通过引入实验确定的WP对叶片光合速率光响应曲线参数和pti函数的影响,量化了WP对叶片光合速率、LAI、干物质分配和外部品质性状的影响。这些定量关系被纳入一个通用作物生长模型SUCROS。利用独立的试验数据,发现该模型能较好地预测不同供水水平下菊花品种的生物量、器官干重和外部品质性状。LAI预测值与实测值的决定系数(r2)分别为0.91、0.88、0.83 ~ 0.93。在将该模型应用于更大范围时,需要进一步评估。
A complete dynamic model was developed to describe the effects of soil water potential (WP) on the growth and external quality of standard cut chrysanthemum (Chrysanthemum morifolium) in order to optimise water management of greenhouse crops. Experiments using chrysanthemum cv. ‘Jinba’ with different planting dates and levels of water treatment were conducted in a lean-to type greenhouse from 2006 to 2008. The dynamics of leaf area index (LAI), dry matter partitioning, and external quality traits (plant height, number of leaves per plant, flower-head diameter and peduncle length) were first determined as functions of accumulated photothermal index (PTI). Impacts of WP on leaf photosynthetic rate, LAI, dry matter partitioning, and the external quality traits were quantified via introducing the experimentally identified effects of WP on the parameters in the light response curve of leaf photosynthetic rate and the PTI-based functions. These quantitative relationships were incorporated into a generic crop growth model SUCROS. Using independent experimental data, the model was found to give good predictions for biomass production, dry weight of organs, and the external quality traits of the chrysanthemum cultivar grown under different levels of water supply. The coefficient of determination (r2) between the predicted and measured results was 0.91 for LAI, 0.88 for biomass production, and varied between 0.83 and 0.93 for organ dry weight and the external quality traits. Further evaluation is needed when applying this model to a wider range.
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