Influence of Temperature, Photosynthetic Photon Flux and Plant Age on Light Utilization Efficiency in Chrysanthemum.

Karlsson, M.G.; Heins, Royal D.; Holcomb, E. Jay

doi:10.17660/actahortic.1987.197.2

Cited by 2 publications

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“…From those studies, it was concluded that variation in RGR was due mainly to variation in LAR. Moreover, based on results of the present study and work by other authors (Challa and Schapendonk, 1984;Karlsson et al, 1987;Cockshull et al, 1992;Olesen and Grevsen, 1997;Kage et al, 2001), it can be concluded that crop growth rate is dependent on daily incident PAR and not proportional to light. The saturation response to incident PAR of potential crop growth rate at closed canopy is to be expected, as light saturation of photosynthesis at leaf level is re¯ected at crop level.…”

Section: Discussionsupporting

confidence: 79%

Using the Expolinear Growth Equation for Modelling Crop Growth in Year-round Cut Chrysanthemum

LEE¹

2003

Annals of Botany

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The aim of this study was to predict crop growth of year-round cut chrysanthemum (Chrysanthemum morifolium Ramat.) based on an empirical model of potential crop growth rate as a function of daily incident photosynthetically active radiation (PAR, MJ m-2 d-1), using generalized estimated parameters of the expolinear growth equation. For development of the model, chrysanthemum crops were grown in four experiments at different plant densities (32, 48, 64 and 80 plants m-2), during different seasons (planting in January, May-June and September) and under different light regimes [natural light, shading to 66 and 43 % of natural light, and supplementary assimilation light (ASS, 40-48 micro mol m-2 s-1)]. The expolinear growth equation as a function of time (EXPOT) or as a function of incident PAR integral (EXPOPAR) effectively described periodically measured total dry mass of shoot (R2 > 0.98). However, growth parameter estimates for the fitted EXPOPAR were more suitable as they were not correlated to each other. Coefficients of EXPOPAR characterized the relative growth rate per incident PAR integral [rm,i (MJ m-2)-1] and light use efficiency (LUE, g MJ-1) at closed canopy. In all four experiments, no interaction effects between treatments on crop growth parameters were found. rm,i and LUE were not different between ASS and natural light treatments, but were increased significantly when light levels were reduced by shading in the summer experiments. There was no consistent effect of plant density on growth parameters. rm,i and LUE showed hyperbolic relationships to average daily incident PAR averaged over 10-d periods after planting (rm,i) or before final harvest (LUE). Based on those relationships, maximum relative growth rate (rm, g g-1 d-1) and maximum crop growth rate (cm, g m-2 d-1) were described successfully by rectangular hyperbolic relationships to daily incident PAR. In model validation, total dry mass of shoot (Wshoot, g m-2) simulated over time was in good agreement with measured ones in three independent experiments, using daily incident PAR and leaf area index as inputs. Based on these results, it is concluded that the expolinear growth equation is a useful tool for quantifying cut chrysanthemum growth parameters and comparing growth parameter values between different treatments, especially when light is the growth-limiting factor. Under controlled environmental conditions the regression model worked satisfactorily, hence the model may be applied as a simple tool for understanding crop growth behaviour under seasonal variation in daily light integral, and for planning cropping systems of year-round cut chrysanthemum. However, further research on leaf area development in cut chrysanthemum is required to advance chrysanthemum crop growth prediction.

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Section: Discussionsupporting

confidence: 79%

Using the Expolinear Growth Equation for Modelling Crop Growth in Year-round Cut Chrysanthemum

LEE¹

2003

Annals of Botany

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“…Nevertheless, LUE was higher in Expt. 3, confirming that at lower light levels (Table 1), plants convert light more efficiently into biomass (Karlsson et al, 1987;Lee et al, 2002a).…”

Section: Reaction Timesupporting

confidence: 59%

Genotypic Variation in the Response to Suboptimal Temperature at Different Plant Densities in Cut Chrysanthemum

Ploeg¹,

Carvalho²,

Heuvelink³

2009

J. Amer. Soc. Hort. Sci.

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Energy efficiency of greenhouse cut chrysanthemum (Chrysanthemum morifolium Ramat.) may be increased by breeding. In addition to breeding for cultivars with a shorter reaction time at suboptimal temperatures, an alternative approach would be to develop cultivars that are heavier at suboptimal temperatures so that they could be grown at a higher plant density, enhancing the production per unit area. Therefore, the combined effect of temperature and plant density on growth and development of four cut chrysanthemum cultivars was investigated in three greenhouse experiments, carried out in different seasons. For growth-related traits, no interactions between temperature and cultivar were found, limiting the possibilities for breeding. At suboptimal temperatures, growth rate early in the cultivation period decreased as a consequence of a lower light interception resulting from a lower specific leaf area. Thus a higher dry mass production at lower temperature could only be explained by a longer cultivation time. Temperature also influenced external quality, but these effects were cultivar dependent. For instance, temperature affected the slope of the positive linear relationship between total dry mass and number of flowers, reducing number of flowers at low temperature for the same plant dry mass. It is concluded that there are possibilities for breeding for suboptimal temperature-tolerant cultivars.

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Influence of Temperature, Photosynthetic Photon Flux and Plant Age on Light Utilization Efficiency in Chrysanthemum.

Cited by 2 publications

References 0 publications

Using the Expolinear Growth Equation for Modelling Crop Growth in Year-round Cut Chrysanthemum

Using the Expolinear Growth Equation for Modelling Crop Growth in Year-round Cut Chrysanthemum

Genotypic Variation in the Response to Suboptimal Temperature at Different Plant Densities in Cut Chrysanthemum

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