Skip to main content

Is Plant Growth Driven by Sink Regulation?

Implications for crop models, phenotyping approaches and ideotypes

  • Conference paper
Scale and Complexity in Plant Systems Research

Part of the book series: Wageningen UR Frontis Series ((WURF,volume 21))

Abstract

There is a new interest in plant morphogenesis and architecture because molecular genetics is providing new information on their genetic and physiological control. From a crop modeller’s point of view, this requires particular attention paid to the regulation of sinks associated with organ development, as well as their interactions with assimilate sources. Existing agronomic and architectural crop models are not capable of simulating such interactions. A conceptual framework is presented for the analysis and simulation of crop growth driven by either assimilate source or sink dynamics, building on the assumption that meristems are the main sites in the plant architecture where sinks are initiated and adjusted to resources. Among the numerous sink–source feedbacks to be considered are sensing of the plant’s resource and stress status by meristems (enabling adjustment of morphogenesis), as well as transitory reserves, organ senescence and end-product inhibition of photosynthesis (necessary for the plant to cope with acute imbalances). These feedbacks are to a large extent related to sugar metabolism and can be explained with recent molecular findings on the prominent place in plant development of sugar sensing and the regulation of sucrose cleavage at sink sites. A model integrating these phenomena in a simplified manner, called EcoMeristem, was developed and is being applied in phenotyping for functional-genomics studies on rice. Theoretical evidence and model sensitivity analyses suggested that sink regulation during vegetative growth has a strong effect on plant vigour and growth rate, even at given levels of leaf photosynthetic capacity. However, the usefulness of complex, whole-plant models such as EcoMeristem for heuristic phenotyping approaches remains to be demonstrated. Specific problems are related to the stability of process-based crop parameters across environments, as well as the measurement of such crop parameters that are inaccessible to direct observation. But it is argued that integrated, structural-functional models may be the only means to quantify complex traits, such as those governing adaptive morphology (phenotypic plasticity). Furthermore, such models may be well suited to develop improved plant type concepts in silico .

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Black, C.C., Loboda, T., Chen, J.Q., et al., 1995. Can sucrose cleavage enzymes serve as markers for sink strength and is sucrose a signal molecule during plant sink development? In: Pontis, H.G., Salerno, G.L. and Echeverria, E.J. eds. Sucrose metabolism, biochemistry, physiology and molecular biology: proceedings international symposium on sucrose metabolism, Mar del Plata, Argentina, May 8-13, 1995 . American Society of Plant Physiologists, Rockville, 49-64.Current Topics in Plant Physiology no. 14. [http://www.srs.fs.usda.gov/pubs/ja/ja_sung006.pdf]

    Google Scholar 

  • Bouman, B.A.M., Kropff, M.J., Tuong, T.P., et al., 2001. ORYZA2000: modeling lowland rice . International Rice Research Institute, Los Baños. [http://www.knowledgebank.irri.org/oryza2000/]

    Google Scholar 

  • Brisson, N., Mary, B., Ripoche, D., et al., 1998. STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn. Agronomie, 18 (5/6), 311-346.

    Google Scholar 

  • Bunce, J.A. and Sicher, R.C., 2003. Daily irradiance and feedback inhibition of photosynthesis at elevated carbon dioxide concentration in Brassica oleracea . Photosynthetica, 41 (4), 481-488.

    Article  CAS  Google Scholar 

  • Cho, J.I., Lee, S.K., Ko, S., et al., 2005. Molecular cloning and expression analysis of the cell-wall invertase gene family in rice (Oryza sativa L.). Plant Cell Reports, 24 (4), 225-236.

    Article  PubMed  CAS  Google Scholar 

  • Cookson, S.J., Van Lijsebettens, M. and Granier, C., 2005. Correlation between leaf growth variables suggest intrinsic and early controls of leaf size in Arabidopsis thaliana . Plant, Cell and Environment, 28 (11), 1355-1366.

    Article  Google Scholar 

  • Dewitt, T.J. and Scheiner, S.M., 2004. Phenotypic plasticity: functional and conceptual approaches . Oxford University Press, New York.

    Google Scholar 

  • Dingkuhn, M., Luquet, D., Quilot, B., et al., 2005. Environmental and genetic control of morphogenesis in crops: towards models simulating phenotypic plasticity. Australian Journal of Agricultural Research, 56 (11), 1289-1302.

    Article  Google Scholar 

  • Dingkuhn, M., Luquet, D., Kim, H.K., et al., 2006. EcoMeristem, a model of morphogenesis and competition among sinks in rice. 2. Simulating genotype responses to phosphorus deficiency. Functional Plant Biology, 33 (4), 325-337.

    Article  CAS  Google Scholar 

  • Drouet, J.L. and Pages, L., 2003. GRAAL: a model of GRowth, Architecture and carbon ALlocation during the vegetative phase of the whole maize plant: model description and parameterisation. Ecological Modelling, 165 (2/3), 147-173.

    Article  CAS  Google Scholar 

  • Fiorani, F., Beemster, G.T.S., Bultynck, L., et al., 2000. Can meristematic activity determine variation in leaf size and elongation rate among four Poa species? A kinematic study. Plant Physiology, 124 (2), 845-855.

    Article  PubMed  CAS  Google Scholar 

  • Franck, N., 2005. Effet de la charge en fruits et de l’ombrage sur l’assimilation carbonée, la croissance et la production du caféier (Coffea arabica L.) . PhD Thesis, University of Montpellier.

    Google Scholar 

  • Gazzarrini, S. and McCourt, P., 2003. Cross-talk in plant hormone signalling: what Arabidopsis mutants are telling us. Annals of Botany, 91 (6), 605-612.

    Article  PubMed  CAS  Google Scholar 

  • Geigenberger, P., Kolbe, A. and Tiessen, A., 2005. Redox regulation of carbon storage and partitioning in response to light and sugars. Journal of Experimental Botany, 56 (416), 1469-1479.

    Article  PubMed  CAS  Google Scholar 

  • Guo, Y., Ma, Y., Zhan, Z.G., et al., 2006. Parameter optimization and field validation of the functional-structural model GREENLAB for maize. Annals of Botany, 97 (2), 217-230.

    Article  PubMed  Google Scholar 

  • Hammer, G.L., Kropff, M.J., Sinclair, T.R., et al., 2002. Future contributions of crop modelling: from heuristics and supporting decision making to understanding genetic regulation and aiding crop improvement. European Journal of Agronomy, 18 (1/2), 15-31.

    Article  Google Scholar 

  • Hirose, T., Takano, M. and Terao, T., 2002. Cell wall invertase in developing rice caryopsis: molecular cloning of OsCIN1 and analysis of its expression in relation to its role in grain filling. Plant and Cell Physiology, 43 (4), 452-459.

    Article  PubMed  CAS  Google Scholar 

  • Ji, X., Van den Ende, W., Van Laere, A., et al., 2005. Structure, evolution, and expression of the two invertase gene families of rice. Journal of Molecular Evolution, 60 (5), 615-634.

    Article  PubMed  CAS  Google Scholar 

  • Kobayasi, K., Horie, Y. and Imaki, T., 2002. Relationship between apical dome diameter at panicle initiation and the size of panicle components in rice grown under different nitrogen conditions during the vegetative stage. Plant Production Science, 5 (1), 3-7.

    Google Scholar 

  • Laza, M.R.C., Peng, S., Sanico, A.L., et al., 2001. Higher leaf area growth rate contributes to greater vegetative growth of F1 rice hybrids in the tropics. Plant Production Science, 4 (3), 184-188.

    Google Scholar 

  • Lechaudel, M., Genard, M., Lescourret, F., et al., 2005. Modeling effects of weather and source-sink relationships on mango fruit growth. Tree Physiology, 25 (5), 583-597.

    PubMed  Google Scholar 

  • Liu, F.L., Jensen, C.R. and Andersen, M.N., 2005. A review of drought adaptation in crop plants: changes in vegetative and reproductive physiology induced by ABA-based chemical signals. Australian Journal of Agricultural Research, 56 (11), 1245-1252.

    Article  CAS  Google Scholar 

  • Luquet, D., Zhang, B.G., Dingkuhn, M., et al., 2005. Phenotypic plasticity of rice seedlings: case of phosphorus deficiency. Plant Production Science, 8 (2), 145-151.

    Article  CAS  Google Scholar 

  • Luquet, D., Dingkuhn, M., Kim, H.K., et al., 2006. EcoMeristem, a model of morphogenesis and competition among sinks in rice. 1. Concept, validation and sensitivity analysis. Functional Plant Biology, 33 (4), 309-323.

    Article  Google Scholar 

  • Mialet-Serra, I., 2005. Rôle et gestion des réserves carbonées face à la variabilité du climat chez une monocotylédone arborescente, le cocotier (Cocos nucifera L.): analyse et bilan . PhD Thesis, University of Montpellier.

    Google Scholar 

  • Mialet-Serra, I., Clément-Vidal, A., Sonderegger, N., et al., 2005. Assimilate storage in vegetative organs of coconut (Cocos nucifera ). Experimental Agriculture, 41 (2), 161-174.

    Article  CAS  Google Scholar 

  • Munns, R., Brady, C.J. and Barlow, E.W.R., 1979. Solute accumulation in the apex and leaves of wheat during water stress. Australian Journal of Plant Physiology, 6 (3), 379-389.

    Article  CAS  Google Scholar 

  • Reymond, M., Muller, B., Leonardi, A., et al., 2003. Combining quantitative trait loci analysis and an ecophysiological model to analyze the genetic variability of the responses of maize leaf growth to temperature and water deficit. Plant Physiology, 131 (2), 664-675.

    Article  PubMed  CAS  Google Scholar 

  • Reymond, M., Muller, B. and Tardieu, F., 2004. Dealing with the genotype x environment interaction via a modelling approach: a comparison of QTLs of maize leaf length or width with QTLs of model parameters. Journal of Experimental Botany, 55 (407), 2461-2472.

    Article  PubMed  CAS  Google Scholar 

  • Roitsch, T., Ehneß, R., Goetz, M., et al., 2000. Regulation and function of extracellular invertase from higher plants in relation to assimilate partitioning, stress responses and sugar signalling. Australian Journal of Plant Physiology, 27 (8/9), 815-825.

    CAS  Google Scholar 

  • Samonte, S.O.P., Wilson, L.T., McClung, A.M., et al., 2001. Seasonal dynamics of nonstructural carbohydrate partitioning in 15 diverse rice genotypes. Crop Science, 41 (3), 902-909.

    Article  Google Scholar 

  • Sawada, S., Kuninaka, M., Watanabe, K., et al., 2001. The mechanism to suppress photosynthesis through end-product inhibition in single-rooted soybean leaves during acclimation to CO2 enrichment. Plant and Cell Physiology, 42 (10), 1093-1102.

    Article  PubMed  CAS  Google Scholar 

  • Seki, M., Narusaka, M., Ishida, J., et al., 2002. Monitoring the expression profiles of 7000 Arabidopsis genes under drought, cold and high-salinity stresses using a full-length cDNA microarray. Plant Journal, 31 (3), 279-292.

    Article  PubMed  CAS  Google Scholar 

  • Tardieu, F., Reymond, M., Hamard, P., et al., 2000. Spatial distributions of expansion rate, cell division rate and cell size in maize leaves: a synthesis of the effects of soil water status, evaporative demand and temperature. Journal of Experimental Botany, 51 (350), 1505-1514.

    Article  PubMed  CAS  Google Scholar 

  • Van Oosten, J.J.M., Gerbaud, A., Huijser, C., et al., 1997. An Arabidopsis mutant showing reduced feedback inhibition of photosynthesis. Plant Journal, 12 (5), 1011-1020.

    Article  PubMed  Google Scholar 

  • Wang, E., Robertson, M.J., Hammer, G.L., et al., 2002. Development of a generic crop model template in the cropping system model APSIM. European Journal of Agronomy, 18 (1/2), 121-140.

    Article  Google Scholar 

  • Yan, H.P., Kang, M.Z., De Reffye, P., et al., 2004. A dynamic, architectural plant model simulating resource-dependent growth. Annals of Botany, 93 (5), 591-602.

    Article  PubMed  Google Scholar 

  • Yin, X., Kropff, M.J. and Stam, P., 1999. The role of ecophysiological models in QTL analysis: the example of specific leaf area in barley. Heredity, 82 (4), 415-421.

    Article  PubMed  Google Scholar 

  • Yin, X., Chasalow, S.D., Dourleijn, C.J., et al., 2000. Coupling estimated effects of QTLs for physiological traits to a crop growth model: predicting yield variation among recombinant inbred lines in barley. Heredity, 85 (6), 539-549.

    Article  PubMed  CAS  Google Scholar 

  • Yin, X., Stam, P., Kropff, M.J., et al., 2003. Crop modeling, QTL mapping, and their complementary role in plant breeding. Agronomy Journal, 95 (1), 90-98.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer

About this paper

Cite this paper

Dingkuhn, M., Luquet, D., Clément-Vidal, A., Tambour, L., Kim, H., Song, Y. (2007). Is Plant Growth Driven by Sink Regulation?. In: Spiertz, J., Struik, P., Laar, H.V. (eds) Scale and Complexity in Plant Systems Research. Wageningen UR Frontis Series, vol 21. Springer, Dordrecht. https://doi.org/10.1007/1-4020-5906-X_13

Download citation

Publish with us

Policies and ethics