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
复制
发表时间:
2011-08
影响因子:
4.3
通讯作者:
Chunjiang Zhao
中科院分区:
文献类型:
--
作者:
(3) Lu Lin;Wenwen Li;Jingqing Shao;Weihong Luo;Jianfeng Da;Xinyou Yin;Yanbao Zhou;Chunjiang Zhao
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.
登录
查看更多内容
DOI:
10.17660/actahortic.2002.593.19
发表时间:
2002-11
期刊:
--
影响因子:
--
作者:
J. H. Lee;E. Heuvelink;H. Challa
通讯作者:
J. H. Lee;E. Heuvelink;H. Challa
DOI:
10.17660/actahortic.2008.801.175
发表时间:
2008-11
期刊:
--
影响因子:
--
作者:
J. Dai;W. Luo;Zaiqiang Yang
通讯作者:
J. Dai;W. Luo;Zaiqiang Yang
影响因子:
6.2
作者:
Jing Wang;Qiang Yu;Jun Li;Longhui Li;Xiangge Li;Guirui Yu;Xiaomin Sun
通讯作者:
Jing Wang;Qiang Yu;Jun Li;Longhui Li;Xiangge Li;Guirui Yu;Xiaomin Sun
DOI:
10.17660/actahortic.2001.566.7
发表时间:
2001-12
期刊:
--
影响因子:
--
作者:
E. Heuvelink;J. H. Lee;S. Carvalho
通讯作者:
E. Heuvelink;J. H. Lee;S. Carvalho
影响因子:
5.2
作者:
B. B. Nouna-B.;N. Katerji;M. Mastrorilli
通讯作者:
B. B. Nouna-B.;N. Katerji;M. Mastrorilli