Literature DB >> 15020754

On systems thinking, systems biology, and the in silico plant.

Graeme L Hammer1, Thomas R Sinclair, Scott C Chapman, Erik van Oosterom.   

Abstract

The recent summary report of a Department of Energy Workshop on Plant Systems Biology (P.V. Minorsky [2003] Plant Physiol 132: 404-409) offered a welcomed advocacy for systems analysis as essential in understanding plant development, growth, and production. The goal of the Workshop was to consider methods for relating the results of molecular research to real-world challenges in plant production for increased food supplies, alternative energy sources, and environmental improvement. The rather surprising feature of this report, however, was that the Workshop largely overlooked the rich history of plant systems analysis extending over nearly 40 years (Sinclair and Seligman, 1996) that has considered exactly those challenges targeted by the Workshop. Past systems research has explored and incorporated biochemical and physiological knowledge into plant simulation models from a number of perspectives. The research has resulted in considerable understanding and insight about how to simulate plant systems and the relative contribution of various factors in influencing plant production. These past activities have contributed directly to research focused on solving the problems of increasing biomass production and crop yields. These modeling approaches are also now providing an avenue to enhance integration of molecular genetic technologies in plant improvement (Hammer et al., 2002).

Mesh:

Year:  2004        PMID: 15020754     DOI: 10.1104/pp.103.034827

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  9 in total

1.  Seed cell wall storage polysaccharides: models to understand cell wall biosynthesis and degradation.

Authors:  Marcos Silveira Buckeridge
Journal:  Plant Physiol       Date:  2010-09-20       Impact factor: 8.340

Review 2.  Post-GWAS: where next? More samples, more SNPs or more biology?

Authors:  P Marjoram; A Zubair; S V Nuzhdin
Journal:  Heredity (Edinb)       Date:  2013-06-12       Impact factor: 3.821

3.  Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a "gene-to-phenotype" modeling approach.

Authors:  Karine Chenu; Scott C Chapman; François Tardieu; Greg McLean; Claude Welcker; Graeme L Hammer
Journal:  Genetics       Date:  2009-09-28       Impact factor: 4.562

4.  Genotype-phenotype mapping in a post-GWAS world.

Authors:  Sergey V Nuzhdin; Maren L Friesen; Lauren M McIntyre
Journal:  Trends Genet       Date:  2012-07-18       Impact factor: 11.639

5.  Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale.

Authors:  Pierre Casadebaig; Arnaud Gauffreteau; Amélia Landré; Nicolas B Langlade; Emmanuelle Mestries; Julien Sarron; Ronan Trépos; Patrick Vincourt; Philippe Debaeke
Journal:  Theor Appl Genet       Date:  2022-03-16       Impact factor: 5.699

6.  Supermodels: sorghum and maize provide mutual insight into the genetics of flowering time.

Authors:  E S Mace; C H Hunt; D R Jordan
Journal:  Theor Appl Genet       Date:  2013-03-05       Impact factor: 5.699

7.  Computational complementation: a modelling approach to study signalling mechanisms during legume autoregulation of nodulation.

Authors:  Liqi Han; Jim Hanan; Peter M Gresshoff
Journal:  PLoS Comput Biol       Date:  2010-02-26       Impact factor: 4.475

Review 8.  Towards a multiscale crop modelling framework for climate change adaptation assessment.

Authors:  Bin Peng; Kaiyu Guan; Jinyun Tang; Elizabeth A Ainsworth; Senthold Asseng; Carl J Bernacchi; Mark Cooper; Evan H Delucia; Joshua W Elliott; Frank Ewert; Robert F Grant; David I Gustafson; Graeme L Hammer; Zhenong Jin; James W Jones; Hyungsuk Kimm; David M Lawrence; Yan Li; Danica L Lombardozzi; Amy Marshall-Colon; Carlos D Messina; Donald R Ort; James C Schnable; C Eduardo Vallejos; Alex Wu; Xinyou Yin; Wang Zhou
Journal:  Nat Plants       Date:  2020-04-15       Impact factor: 15.793

9.  Phenotyping for drought tolerance of crops in the genomics era.

Authors:  Roberto Tuberosa
Journal:  Front Physiol       Date:  2012-09-19       Impact factor: 4.566

  9 in total

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