Literature DB >> 20980324

Characterization of the interactions between architecture and source-sink relationships in winter oilseed rape (Brassica napus) using the GreenLab model.

Alexandra Jullien1, Amélie Mathieu, Jean-Michel Allirand, Amélie Pinet, Philippe de Reffye, Paul-Henry Cournède, Bertrand Ney.   

Abstract

BACKGROUND AND AIMS: This study aimed to characterize the interaction between architecture and source-sink relationships in winter oilseed rape (WOSR): do the costs of ramification compromise the source-sink ratio during seed filling? The GreenLab model is a good candidate to address this question because it has been already used to describe interactions between source-sink relationships and architecture for other species. However, its adaptation to WOSR is a challenge because of the complexity of its developmental scheme, especially during the reproductive phase.
METHODS: Equations were added in GreenLab to compute expansion delays for ramification, flowering of each axis and photosynthesis of pods including the energetic cost of oil synthesis. Experimental field data were used to estimate morphological parameters while source-sink parameters of the model were estimated by adjustment of model outputs to the data. Ecophysiological outputs were used to assess the sources/sink relationships during the whole growth cycle. KEY
RESULTS: First results indicated that, at the plant scale, the model correctly simulates the dynamics of organ growth. However, at the organ scale, errors were observed that could be explained either by secondary growth that was not incorporated or by uncertainties in morphological parameters (durations of expansion and life). Ecophysiological outputs highlighted the dramatic negative impact of ramification on the source-sink ratio, as well as the decrease in this ratio during seed filling despite pod envelope photosynthesis that allowed significant biomass production to be maintained.
CONCLUSIONS: This work is a promising first step in the construction of a structure-function model for a plant as complex as WOSR. Once tested for other environments and/or genotypes, the model can be used for studies on WOSR architectural plasticity.

Entities:  

Mesh:

Year:  2010        PMID: 20980324      PMCID: PMC3077979          DOI: 10.1093/aob/mcq205

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


  7 in total

1.  A flexible sigmoid function of determinate growth.

Authors:  Xinyou Yin; Jan Goudriaan; Egbert A Lantinga; Jan Vos; Huub J Spiertz
Journal:  Ann Bot       Date:  2003-02       Impact factor: 4.357

2.  A dynamic, architectural plant model simulating resource-dependent growth.

Authors:  Hong-Ping Yan; Meng Zhen Kang; Philippe de Reffye; Michael Dingkuhn
Journal:  Ann Bot       Date:  2004-03-31       Impact factor: 4.357

3.  Parameter optimization and field validation of the functional-structural model GREENLAB for maize.

Authors:  Yan Guo; Yuntao Ma; Zhigang Zhan; Baoguo Li; Michael Dingkuhn; Delphine Luquet; Philippe De Reffye
Journal:  Ann Bot       Date:  2006-01-03       Impact factor: 4.357

Review 4.  Plant architecture: a dynamic, multilevel and comprehensive approach to plant form, structure and ontogeny.

Authors:  Daniel Barthélémy; Yves Caraglio
Journal:  Ann Bot       Date:  2007-01-11       Impact factor: 4.357

5.  Does the structure-function model GREENLAB deal with crop phenotypic plasticity induced by plant spacing? A case study on tomato.

Authors:  Qiaoxue Dong; Gaëtan Louarn; Yiming Wang; Jean-Francois Barczi; Philippe de Reffye
Journal:  Ann Bot       Date:  2008-01-16       Impact factor: 4.357

6.  Rhythms and alternating patterns in plants as emergent properties of a model of interaction between development and functioning.

Authors:  Amélie Mathieu; Paul-Henry Cournède; Daniel Barthélémy; Philippe de Reffye
Journal:  Ann Bot       Date:  2007-08-22       Impact factor: 4.357

7.  A dynamic model of plant growth with interactions between development and functional mechanisms to study plant structural plasticity related to trophic competition.

Authors:  A Mathieu; P H Cournède; V Letort; D Barthélémy; P de Reffye
Journal:  Ann Bot       Date:  2009-03-18       Impact factor: 4.357

  7 in total
  14 in total

1.  Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions.

Authors:  Nicolas Heslot; Deniz Akdemir; Mark E Sorrells; Jean-Luc Jannink
Journal:  Theor Appl Genet       Date:  2013-11-22       Impact factor: 5.699

2.  Variations in leaf growth parameters within the tree structure of adult Coffea arabica in relation to seasonal growth, water availability and air carbon dioxide concentration.

Authors:  Miroslava Rakocevic; Fabio Takeshi Matsunaga
Journal:  Ann Bot       Date:  2018-06-28       Impact factor: 4.357

3.  Plant growth and architectural modelling and its applications. Preface.

Authors:  Yan Guo; Thierry Fourcaud; Marc Jaeger; Xiaopeng Zhang; Baoguo Li
Journal:  Ann Bot       Date:  2011-04       Impact factor: 4.357

4.  A new methodology based on sensitivity analysis to simplify the recalibration of functional-structural plant models in new conditions.

Authors:  Amélie Mathieu; Tiphaine Vidal; Alexandra Jullien; QiongLi Wu; Camille Chambon; Benoit Bayol; Paul-Henry Cournède
Journal:  Ann Bot       Date:  2018-08-27       Impact factor: 4.357

5.  DigR: a generic model and its open source simulation software to mimic three-dimensional root-system architecture diversity.

Authors:  Jean-François Barczi; Hervé Rey; Sébastien Griffon; Christophe Jourdan
Journal:  Ann Bot       Date:  2018-04-18       Impact factor: 4.357

6.  Nitrogen Uptake Efficiency, Mediated by Fine Root Growth, Early Determines Temporal and Genotypic Variations in Nitrogen Use Efficiency of Winter Oilseed Rape.

Authors:  Victor Vazquez-Carrasquer; Anne Laperche; Christine Bissuel-Bélaygue; Michaël Chelle; Céline Richard-Molard
Journal:  Front Plant Sci       Date:  2021-05-13       Impact factor: 5.753

7.  Characterization of Sucrose transporter alleles and their association with seed yield-related traits in Brassica napus L.

Authors:  Fupeng Li; Chaozhi Ma; Xia Wang; Changbin Gao; Jianfeng Zhang; Yuanyuan Wang; Na Cong; Xinghua Li; Jing Wen; Bin Yi; Jinxiong Shen; Jinxing Tu; Tingdong Fu
Journal:  BMC Plant Biol       Date:  2011-11-23       Impact factor: 4.215

8.  Floral bud damage compensation by branching and biomass allocation in genotypes of Brassica napus with different architecture and branching potential.

Authors:  Amélie Pinet; Amélie Mathieu; Alexandra Jullien
Journal:  Front Plant Sci       Date:  2015-02-24       Impact factor: 5.753

9.  Genetic characterization and fine mapping for multi-inflorescence in Brassica napus L.

Authors:  Yongjing Zhang; Qinfei Li; Yixin Cui; Zhi Liu; Zhifu Chen; Yajun He; Jiaqin Mei; Qing Xiong; Xiaorong Li; Wei Qian
Journal:  Theor Appl Genet       Date:  2018-08-02       Impact factor: 5.699

10.  SuMoToRI, an Ecophysiological Model to Predict Growth and Sulfur Allocation and Partitioning in Oilseed Rape (Brassica napus L.) Until the Onset of Pod Formation.

Authors:  Sophie Brunel-Muguet; Alain Mollier; François Kauffmann; Jean-Christophe Avice; Damien Goudier; Emmanuelle Sénécal; Philippe Etienne
Journal:  Front Plant Sci       Date:  2015-11-17       Impact factor: 5.753

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.