Modellling visual product quality in cut chrysanthemum
Modellling visual product quality in cut chrysanthemum
复制标题
DOI：
10.17660/actahortic.2001.566.7
复制
发表时间：
2001-12
期刊：
影响因子：
--
通讯作者：
E. Heuvelink;J. H. Lee;S. Carvalho
中科院分区：
文献类型：
--
作者：
E. Heuvelink;J. H. Lee;S. Carvalho
一年四季，切花菊种植者的目标是通过改变植物密度、长日照（LD）时间以及最近在自然光照条件差的时期使用补充同化光来保持恒定的产品质量。切花菊的外观质量主要取决于植株质量（与茎长的关系）、单株花数和花的大小。为了以最低的成本生产符合市场需求的产品，模型可能会引起极大的兴趣。建立并验证了一个解释性的光合作用驱动的作物生长模型，该模型可以预测种植期、种植密度、CO2浓度和补充同化光对切花菊视觉品质的影响。给出了模型和验证结果。它示出了该模型如何可以用来定义可接受的植物密度全年在不同水平的同化光强度或温室透光率。此外，LD期间的持续时间和植物密度之间的权衡，针对一定的植物质量时，使用该模型进行量化。
Throughout the year, cut chrysanthemum growers aim at a constant product quality by varying plant density, duration of the long-day (LD) period and, more recently, by the use of supplementary assimilation light during periods of poor natural light conditions. Visual quality of cut chrysanthemum is mainly determined by plant mass (in relation to stem length), number of flowers per plant and flower size. For production in agreement with market demands at the lowest costs, models can be of great interest. We developed and validated an explanatory photosynthesis-driven crop growth model, that can predict influence of planting date, plant density, CO2 concentration and supplementary assimilation light on visual quality of cut chrysanthemum. The model is presented and some validation results are given. It is shown how the model can be used to define acceptable plant densities throughout the year at different levels of assimilation light intensities or glasshouse light transmissivities. Also the trade-off between duration of the LD period and plant density, when aiming at a certain plant mass, is quantified using the model.