4 edition of Functional-Structural Plant Modelling in Crop Production (Wageningen UR Frontis Series) found in the catalog.
November 7, 2007
Written in English
|Contributions||J. Vos. (Editor), L.F.M. Marcelis (Editor), P.H.B. de Visser (Editor), P.C. Struik (Editor), J.B. Evers (Editor)|
|The Physical Object|
|Number of Pages||269|
Depending on soil characteristics, weather conditions and crop species, crop models calculate the daily growth of biomass in the individual plant organs (stems, leaves, roots, grains/tubers, etc.) as well as the progress of plant development from sowing to maturity. In addition, crop models account for important processes in the soil (water and. An advanced multiscale crop modelling framework will enable a gene-to-farm design of resilient and sustainable crop production systems under a changing climate at regional-to-global scales.
Crop models, such as the DSSAT-CSM group (Jones et al., ) and APSIM (Keating et al., ), are extensively used in the analysis, evaluation, and prediction of crop growth and production, on in-field scale up to regional or country levels. The information that can potentially be delivered by soil sensors for use in these models is on water and nutrients (mainly N, in relation with organic matter dynamics). CROP PRODUCTION; ART, SCIENCE AND BUSINESS Crop Production is the art and science of the genetic improvement of crops to produce new varieties with increased productivity and quality. The advanced genetic and molecular techniques have resulted in new varieties of crop plants, medicinal plants and ornamentals.
Functional structural plant models, trying to combine plant production and plant structure modelling, also defined at individual plant level In climate and fertilization control, forestry, plant and crop production studies, etc., two types of models are . Functional-structural plant modeling of plants and crops future of crop modeling for sustainable agriculture Advances in remote sensing for monitoring grassland and forage production Modelling.
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About this book. Functional-structural plant models (FSPMs) describe in quantitative terms the development over time of the three-dimensional (3D) structure of plants as governed by physiological processes and affected by environmental factors.
FSPMs are particularly suited to analyse problems in which the spatial structure of the plant or its canopy is an essential factor to explain, e.g., plant competition (intra-plant.
Functional-structural plant models (FSPMs) describe in quantitative terms the development over time of the three-dimensional (3D) structure of plants as governed by physiological processes and affected by environmental factors.
This book describes the philosophy of functional-structural plant modelling and several tools for making FSPMs; it outlines methods for measuring essential parameters, including those Functional-Structural Plant Modelling in Crop Production book to plant : $ Buy Functional-Structural Plant Modelling in Crop Production () (): NHBS - Edited By: J Vos, L.F.M Marcelis, P.H.B de Visser, P.C Struik and J.B Evers, Springer Nature.
The book consists of 22 chapters, including overviews of the basic concepts of FSPMs, major tools for developing FSPMs, modelling examples for specific crops, and their applications. One striking aspect of this book is that many noted researchers in the field of FSPMs have made contributions to : Yan Guo.
Functional-Structural Plant Modelling in Crop Production.- Measurements for Functional-Structural Crop Models.- The L+C Plant-Modelling Language.- Groimp as a Platform for Functional-Structural Modelling of Plants.- The Virtual Crop-Modelling System 'VICA' Specified for Barley FUNCTIONAL-STRUCTURAL PLANT MODELLING7 row of plants or a homogeneous crop canopy.
At this stage important decisions have to be made on which aspects of function and structure the model needs to explain. For those aspects the modeller should provide an explanation of the desired functions as emergent from the behaviour of the relevant components.
Functional-structural plant models (FSPM) allow a fast and flexible approach for in silico analyses of both effects related to changes in the plant's environment and in the plant's architecture.
The purpose of the model determines its structure. Initially process-based models (PBM) were developed separately from structural (or: architectural or morphological) plant models (SPM).
Combining PBMs and SPM into functional-structural plant models (FSPM) or virtual plants has become feasible. This adds a dimension to classical crop growth. The current state of the art of functional-structural plant modelling (FSPM) in crop production is reflected in this book.
It appears that: there is much similarity in the methods used in various research groups to collect and process data on geometric properties methods and software to program structural models are well established.
Functional-structural Plant Modeling In Crop Production (wageningen Ur Frontis Series) by Paul C. Struik. Kluwer Academic Publishers, 1st.
Paper Text. Like New/Like New. Functional–structural plant modelling in crop production. Wageningen UR Frontis Series, vol. 22Author: Yan Guo. Functional-structural plant modeling (FSPM) refers to a paradigm for the description of a plant by creating a (usually object-oriented) computer model of its structure and selected physiological and physical processes, at different hierarchical levels: organ, plant individual, canopy (a stand of plants), and in which the processes are modulated by the local environment.
Functional–structural plant models (FSPM), combine the representation of three-dimensional (3D) plant structure with selected physiological functions. An FSPM consists of an architectural part (plant structure) and a process part (plant functioning).
Using functional–structural plant models to study, understand and integrate plant development and ecophysiology. Annals of Botany. ; – [PMC free article] Fourcaud T, Zhang X, Stokes A, Lambers H, Körner C. Plant growth modelling and applications: the increasing importance of plant architecture in growth models.
Based on this premise, plant growth and development models should be elaborated to supply a basis for planning and managing crop production. Crop modeling can also be useful as a means to help the. Kniemeyer O, Buck-Sorlin G, Kurth W () GroIMP as a platform for functional–structural modelling of plants.
In ‘Functional–structural plant modelling in crop production’. 43– (Springer-Verlag: Dordrecht, The Netherlands) Knight S () Building software with Scons.
Computing in Science & Engineering 7, 79– In ‘Functional–structural plant modeling in crop production’. (Eds J Vos, LFM de Visser, PC Struick, JB Evers) pp.
– (Springer: Dordrecht, The Netherlands) Ben Mimoun M, DeJong TM () Using the relation between growing degree hours and harvest date to estimate run-times for peach: a tree growth and yield simulation model.
Buck-Sorlin GH, Kniemeyer O, Kurth W. "A functional-structural model of barley including genetic control and metabolic networks." In: Vos J, Marcelis LFM, de Visser PHB, Struik PC and Evers JB, eds.
Functional-Structural Plant Modelling in Crop Production. The theme Plant form and function focuses on the relationships between architecture of plants and crops and physiological processes determining plant functioning and yield in interaction with environmental factors. An important tool within this theme is functional-structural plant modelling (FSPM).
FSPM explicitly captures the development over time of the 3D architecture or structure of plants. Individual-based and/or functional–structural plant models are in italics. For histories of crop modelling in the US see Jones et al. () and Hoogenboom et al. (), and for histories of crop modelling in the Netherlands see Bouman et al.
() and van Ittersum et al. ().However, it does not seem to be fully covered in the format of book publications. We want to initiate a book project on crop systems biology - narrowing the gaps between genotypes and phenotypes and the gaps between crop modelling and genetics/genomics, for publication in / The use of simulation models is a necessity and also an aid in the decision-making process in sustainable agricultural systems.
Organizing the experimental knowledge of crop production systems without the book keeping and deductive methods of mathematics is very difficult.