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Analysis of inter-plant variability in the extension dynamics of bush rose primary shoot

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Analysis of inter-plant variability in the extension dynamics of bush rose primary shoot

Sabine Demotes-Mainard, Gaëlle Gueritaine, Patrick Favre, Vincent Guérin, Lydie Huche-Thelier, Rachid Boumaza, Bruno Andrieu

To cite this version:

Sabine Demotes-Mainard, Gaëlle Gueritaine, Patrick Favre, Vincent Guérin, Lydie Huche-Thelier, et al.. Analysis of inter-plant variability in the extension dynamics of bush rose primary shoot. 6.

International Workshop, Sep 2010, Davis, United States. �hal-01192239�

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Analysis of inter-plant variability in the extension dynamics of bush rose primary shoot

Sabine Demotes-Mainard1*, Gaelle Guéritaine1, Patrick Favre1, Vincent Guérin1, Lydie Huché-Thélier1, Rachid Boumaza2, Bruno Andrieu3

1 : INRA, UMR 462 SAGAH, IFR 149 Quasav, F-49071 Beaucouzé, France 2 : Agrocampus Ouest,UMR 462 SAGAH, IFR 149 Quasav, F-49045 Angers, France

3 : INRA, UMR 1091 EGC, F-78850 Thiverval-Grignon, France

* [email protected]

Keywords: inter-plant variability, architecture, Rosa hybrida L., bush rose

Introduction

Functional-structural plant models represent the crop as a population of individual plants whose architectures are described explicitly and are developing in parallel. This approach allows investigating new questions, as those related to inter-plants competition (e.g., multi-species canopies, forests, crop-weed interactions) or to the discrimination of the effects, on plant development, of the light environment of the whole plant and that perceived locally at the tissue scale and acting as a signal (Evers et al., 2007). Within a population, architectural differences between plants result in a differential access to resources such as light and, consequently, to differences in the intensities of all the processes dependent on light interception by organs, such as carbon assimilation. In a feedback loop, these differences maintain or increase the inter-plant variability that initially existed between plants in their architecture. In many ornamental plants, particularly bush rose, plant architecture is a direct variable of interest since it determines plant visual quality; to be able to give an accurate description of the inter-plant variability of the aerial architecture is fundamental since the product that is sold is the individual plant. A functional- structural model of bush rose should therefore account accurately for inter-plant variability; yet it remains difficult to enter functional rules since mechanisms of interactions between plants and regulation of the architecture by neighboring plants, like the influence of neighbors through the light quality, are only partially elucidated. The objective of this work was to analyze the inter- plant variability in the elaboration of the bush rose primary shoot in order to investigate (i) the intra-plant correlations in growth and development of the organs, and (ii) the origin of the inter- plant variability, which will raise hypotheses on plant functioning. Here, we focused on two types of relationships illustrating different aspects of architecture elaboration: the timing of organ extension and organ dimensions.

Material and methods

Bush roses (Rosa hybrida) of the ‘Radrazz’ cultivar, were grown in a glasshouse at Angers, France. Well-rooted one-node cuttings taken from cloned mother plants were transferred to 1 L pots on 30 May 2007. Plants were grown with one border row. Air temperature was measured above the canopy and thermal time was calculated with a base temperature of 2.1°C. A phytomer was defined as an internode, the leaf at the top of the internode and its axillary bud. Phytomer ranks were numbered from the base to the top of the shoot. The relative phytomer rank was defined as (P-1)/(N-1), with P the rank of a phytomer and N the number of phytomers per axis, excluding the peduncle. The number of phytomers per shoot and the number of leaflets per leaf were counted on the primary shoot of 33 plants. For each phytomer, lengths of the terminal leaflet and internode were measured five times per week during extension. The length of the terminal leaflet together with the number of leaflets per leaf is sufficient to estimate the length and width of the leaf and of all leaflets through allometric relationships (Demotes-Mainard et al., 2009). The curves of extension of individual leaflets and internodes as a function of thermal time were fitted to a linear-plateau model that was adapted to all organs. The date of beginning of linear extension

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was defined as the x-coordinate of the intersection between the x-axis and the regression line for the linear extension phase.

First results and discussion

The timing of beginning of terminal leaflet extension expressed in thermal time as a function of the phytomer rank, which will be hereafter named phyllochron, displayed inter-plant variability, with plants developing at different rates (Fig. 1). For an average plant, the phyllochron was constant; yet, a plant to plant analysis showed that some plants presented a constant phyllochron whereas other plants presented a higher phyllochron for upper phytomer ranks than for lower ranks (Fig. 1, inset). Conversely, Pasian and Lieth (1996) reported that the thermal time separating the unfolding of successive leaves decreased for the upper ranks in three cut-flower cultivars, but this observation accounted globally for both timing of beginning of leaf extension and rate of unfolding. Therefore, further analyses are needed (i) to identify why some plants present a constant phyllochron and other plants a changing phyllochron; (ii) to test if the change in the phyllochron is linked to an ontogenic change, as hypothetized in wheat (Baker et al., 1986);

(iii) to test if the differences with the results of Pasian and Lieth (1996) are due to the different nature of the processes studied or to a difference in genotype behavior.

Final length of terminal leaflets displayed inter-plant variability within a relative phytomer rank (Fig. 2) and the ranking observed in the terminal leaflet length between plants could change between successive phytomer ranks. The leaflet number per leaf varies from zero to nine along the length of the primary shoot in an organized acropetal sequence, displaying inter-plant variability. Terminal leaflet length presented a significant but low partial correlation with the leaflet number per leaf when the phytomer rank was kept constant. Therefore, in a virtual plant model the prediction of terminal leaflet final length should depend on the number of leaflets per leaf at the same rank within a plant. In rose, the basal leaves (approximately 2 to 5 leaves in this experiment) are preformed in the apical bud. The inter-plant variability in leaflet final length not explained by leaflet number could be explained by the conditions during leaf primordium formation on the mother plant for preformed leaves and by the occurrence of different microclimatic conditions during the extension of terminal leaflets. This variability in microclimatic conditions has three origins: (i) a spatial variability in the incident light within the glasshouse; (ii) inter-plant variability in the internal timing of development (Fig. 1); and (iii) the

Figure 2. Final length of the terminal leaflets plotted against relative phytomer rank. Each symbol represents a plant.

Figure 1. Thermal time (degree days) at the beginning of the linear extension phase of terminal leaflets plotted against phytomer rank. Each symbol represents a plant. The main figure represents all plants and the inset focuses on two plants. The origin of thermal time is the point at which the terminal leaflet on the phytomer at rank 6 began to extend.

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calendar date at which the first phytomer starts to extend, which is likely to be influenced by the position of the cutting along the shoot of the mother plant (Bredmose 1996). These differences in the microclimate of the leaflets during their extension could be responsible for differences in the final size of leaflets of the same rank but belonging to different plants, at least for post-formed leaves. Indeed, a response of leaf size to the photosynthetically active radiation intercepted during leaf extension has been observed for maize and sunflower (Andrieu et al., 2004; Granier and Tardieu, 1999). In rose, to our knowledge, the extension of individual organs in response to light has not been investigated yet; a functional-structural model combined to a radiative transfer model would be a useful tool to test if differences in the timing of organ development could account for inter-plant variability through differences in intercepted light.

Final length of terminal leaflet of individual leaves presented a highly significant partial correlation with the final length of individual internodes when the phytomer relative rank was kept constant. This probably results from the period of internode extension being included in the period of terminal leaflet extension for the same phytomer (Demotes-Mainard et al., 2009) and lasting on average 73% of the period of terminal leaflet extension. Therefore, these two organs experienced essentially similar microclimatic conditions during their extension.

Conclusion-perspectives

This work analyzes the inter-plant variability in the extension dynamicsof bush rose. It points out intra-plant correlations that should be taken into account to predict individual organ development and identifies potential sources of inter-plant variability, therefore allowing formulating hypotheses about plant functioning. A complementary experiment is in progress to determine if the patterns described here are stable for plants grown in different environmental conditions and to test several hypotheses issued from the analysis of inter-plant variability.

Acknowledgments

The authors thank O. Douillet, S. Delépine, G. Guillemain and M. Laffaire (UMR SAGAH) for technical assistance. This work was supported by Angers Loire Métropole, through a postdoctoral grant.

References

Andrieu B, Moulia B, Maddonni G, Birch C, Sonohat G, Sohbi Y, Fournier C, Allirand JM, Chartier M, Hillier J, Drouet JM and Bonhomme R. 2004. Plasticity of plant architecture in response to density:

using maize as a model. In: Godin et al. ed. IV International Workshop on Functional Structural Plant Models (FSMP04). Montpellier, France.

Baker JT, Pinter PJ, Reginato RJ and Kanemasu ET. 1986. Effects of temperature on leaf appearance in spring and winter-wheat cultivars. Agronomy Journal, 78: 605-613.

Bredmose N and Hansen J. 1996. Topophysis affects the potential of axillary bud growth, fresh biomass accumulation and specific fresh weight in single-stem roses (Rosa hybrida L). Annals of Botany, 78:

215-222.

Demotes-Mainard S, Guéritaine G, Boumaza R, Favre P, Guérin V, Huché-Thellier L and Andrieu B. 2009.

Coordinated development of the architecture of the primary shoot in bush rose. PMA09 : Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, Beijing, China, 09-13 Nov. 2009, 214-221.

Evers JB, Vos J, Chelle M, Andrieu B, Fournier C and Struik PC. 2007. Simulating the effects of localized red:far-red ratio on tillering in spring wheat (Triticum aestivum) using a three-dimensional virtual plant model. New Phytologist, 176: 325–336.

Granier C and Tardieu F. 1999. Leaf expansion and cell division are affected by reducing absorbed light before but not after the decline in cell division rate in the sunflower leaf. Plant Cell and Environment, 22: 1365-1376.

Pasian CC and Lieth JH. 1996. Prediction of rose shoot development : model validation for the cultivar 'Cara Mia' and extension to the cultivars 'Royalty' and 'Sonia'. Scientia Horticulturae, 66: 117-124.

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