Wheat 2006 outdoor

DOI

This dataset contains the underlying data for the study:Evers JB, Vos J, Yin X, Romero P, van der Putten PEL, Struik PC. 2010. Simulation of wheat growth and development based on organ-level photosynthesis and assimilate allocation. Journal of Experimental Botany, 61: 2203-2216http://dx.doi.org/10.1093/jxb/erq025Intimate relationships exist between form and function of plants, determining many processes governing their growth and development. However, in most crop simulation models that have been created to simulate plant growth and, for example, predict biomass production, plant structure has been neglected. In this study, a detailed simulation model of growth and development of spring wheat (Triticum aestivum) is presented, which integrates degree of tillering and canopy architecture with organ-level light interception, photosynthesis, and dry-matter partitioning. An existing spatially explicit 3D architectural model of wheat development was extended with routines for organ-level microclimate, photosynthesis, assimilate distribution within the plant structure according to organ demands, and organ growth and development. Outgrowth of tiller buds was made dependent on the ratio between assimilate supply and demand of the plants. Organ-level photosynthesis, biomass production, and bud outgrowth were simulated satisfactorily. However, to improve crop simulation results more efforts are needed mechanistically to model other major plant physiological processes such as nitrogen uptake and distribution, tiller death, and leaf senescence. Nevertheless, the work presented here is a significant step forwards towards a mechanistic functional–structural plant model, which integrates plant architecture with key plant processes.

Date Submitted: 2013-11-12

This dataset was collected as part of a series of related experiments. Both in the laboratory and under field conditions, to develop and validate an architectural model of wheat (Triticum aestivum), designed to explain effects of light conditions at the individual leaf level on tillering kinetics.

Identifier
DOI https://doi.org/10.17026/dans-zwz-ukdn
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zwz-ukdn
Provenance
Creator J.B. Evers; J. Vos; X. Yin; P. Romero; P.E.L. van der Putten; P.C. Struik
Publisher DANS Data Station Life Sciences
Contributor Data Librarian; Wageningen UR (WUR)
Publication Year 2013
Rights DANS Licence; info:eu-repo/semantics/closedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact Data Librarian (Wageningen UR)
Representation
Resource Type Dataset
Format text/plain; application/zip; text/csv; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/vnd.ms-excel
Size 4897; 33801; 82524; 822176; 11016; 18941; 340112; 295015; 351603; 306312; 4274; 27445; 33784; 4438; 33632; 121344; 102904; 139846
Version 2.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Life Sciences; Medicine; Natural Sciences