Three-dimensional Modelling of Soil-plant Interactions PDF Download

Author: Tom Schröder
Publisher: Forschungszentrum Jülich
ISBN: 3893365761
Category :
Languages : en
Pages : 89

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Author: Natalie Schröder
Publisher: Forschungszentrum Jülich
ISBN: 3893369236
Category :
Languages : en
Pages : 151

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Author: Jitendra Kumar
Publisher: Springer
ISBN: 8132222261
Category : Science
Languages : en
Pages : 422

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Book Description
Identification of desirable genotypes with traits of interest is discernible for making genetic improvement of crop plants. In this direction, screening of a large number of germplasm for desirable traits and transfer of identified traits into agronomic backgrounds through recombination breeding is the common breeding approach. Although visual screening is easier for qualitative traits, its use is not much effective for quantitative traits and also for those, which are difficult to score visually. Therefore, it is imperative to phenotype the germplasm accessions and breeding materials precisely using high throughput phenomics tools for challenging and complex traits under natural, controlled and harsh environmental conditions. Realizing the importance of phenotyping data towards identification and utilization of a germplasm as donors, global scientific community has exerted increased focus on advancing phenomics in crop plants leading to development of a number of techniques and methodologies for screening of agronomic, physiological, and biochemical traits. These technologies have now become much advanced and entered the era of digital science. This book provides exhaustive information on various aspects related to phenotyping of crop plants and offers a most comprehensive reference on the developments made in traditional and high throughput phenotyping of agricultural crops.

Author: Godehard Sutmann
Publisher: Forschungszentrum Jülich
ISBN: 3893367144
Category :
Languages : en
Pages : 179

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Author: Armel Ulrich Kemloh Wagoum
Publisher: Forschungszentrum Jülich
ISBN: 3893368655
Category :
Languages : en
Pages : 155

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Author: Ivan Kondov
Publisher: Forschungszentrum Jülich
ISBN: 389336899X
Category :
Languages : en
Pages : 335

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Author: Jun Zhang
Publisher: Forschungszentrum Jülich
ISBN: 3893368256
Category :
Languages : en
Pages : 125

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Author: Valentina Huber
Publisher: Forschungszentrum Jülich
ISBN: 3893369104
Category :
Languages : en
Pages : 107

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Author: Sonja Holl
Publisher: Forschungszentrum Jülich
ISBN: 389336949X
Category :
Languages : en
Pages : 207

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Book Description
Scientific workflows have emerged as a key technology that assists scientists with the design, management, execution, sharing and reuse of in silico experiments. Workflow management systems simplify the management of scientific workflows by providing graphical interfaces for their development, monitoring and analysis. Nowadays, e-Science combines such workflow management systems with large-scale data and computing resources into complex research infrastructures. For instance, e-Science allows the conveyance of best practice research in collaborations by providing workflow repositories, which facilitate the sharing and reuse of scientific workflows. However, scientists are still faced with different limitations while reusing workflows. One of the most common challenges they meet is the need to select appropriate applications and their individual execution parameters. If scientists do not want to rely on default or experience-based parameters, the best-effort option is to test different workflow set-ups using either trial and error approaches or parameter sweeps. Both methods may be inefficient or time consuming respectively, especially when tuning a large number of parameters. Therefore, scientists require an effective and efficient mechanism that automatically tests different workflow set-ups in an intelligent way and will help them to improve their scientific results. This thesis addresses the limitation described above by defining and implementing an approach for the optimization of scientific workflows. In the course of this work, scientists’ needs are investigated and requirements are formulated resulting in an appropriate optimization concept. In a following step, this concept is prototypically implemented by extending a workflow management system with an optimization framework, including general mechanisms required to conduct workflow optimization. As optimization is an ongoing research topic, different algorithms are provided by pluggable extensions (plugins) that can be loosely coupled with the framework, resulting in a generic and quickly extendable system. In this thesis, an exemplary plugin is introduced which applies a Genetic Algorithm for parameter optimization. In order to accelerate and therefore make workflow optimization feasible at all, e-Science infrastructures are utilized for the parallel execution of scientific workflows. This is empowered by additional extensions enabling the execution of applications and workflows on distributed computing resources. The actual implementation and therewith the general approach of workflow optimization is experimentally verified by four use cases in the life science domain. All workflows were significantly improved, which demonstrates the advantage of the proposed workflow optimization. Finally, a new collaboration-based approach is introduced that harnesses optimization provenance to make optimization faster and more robust in the future.

Author: Paolo Carloni
Publisher: Forschungszentrum Jülich
ISBN: 3893367489
Category :
Languages : en
Pages : 267

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