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High-throughput phenotyping platform reveals genetic variability and quantitative trait loci of light-related parameters in maize models

Chen Tsu-Wei, Fournier Christian, Artzet Simon, Brichet Nicolas, Chopard Jérôme, Pradal Christophe, Alvarez-Prado Santiago, Cabrera-Bosquet Llorenç, Welcker Claude, Tardieu François. 2016. High-throughput phenotyping platform reveals genetic variability and quantitative trait loci of light-related parameters in maize models. In : Seeking Sustainable Agricultural Solutions AgMIP6 Global Workshop: Oral and poster abstracts. Montpellier : AgMIP, Résumé, p. 55. Global Workshop of the Agricultural Model Intercomparison and Improvement Project (AgMIP), Montpellier, France, 28 June 2016/30 June 2016.

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Abstract : Radiation interception efficiency (RIE) and radiation use efficiency (RUE) are the main driving forces of dry mass accumulation in many crop models, so parameters related to RIE and RUE, e.g. light extinction coefficient (k) and photosynthetic parameters, have strong influences on the results of simulations. In this work, we propose a new method to estimate the RIE- and RUE-related parameters in maize models by a high-throughput phenotyping platform, PHENOARCH (https://goo.gl /x3C6oN), where images of 330 maize lines were taken and used to reconstruct the 3D-structure of the plants. The 3D plants were used to construct a virtual canopy to calculate RIE based on the RATP light model. Leaf area index (LAI) was estimated by the reconstructed 3D-structure and k was calculated from RIE and LAI. Relationship between RIE and plant developmental stage was fitted to a sigmoidal function with three parameters: maximum RIE (RIEmax), maximum change of RIE (smax) and time taken to reach smax (ts). Between genotypes, significant differences in k, RIEmax, smax and ts were found and genome wide association analysis revealed 16 QTL for k, 77 for RIEmax, 1 for smax and 7 for ts. Further parameters including RUE and relative canopy photosynthetic capacity can be also estimated by our method. We conclude that 3Dstructure of plants reconstructed in a phenotyping platform can be used to discover the genetic variability of lightrelated parameters for crop models.

Auteurs et affiliations

  • Chen Tsu-Wei, INRA (FRA)
  • Fournier Christian, INRA (FRA)
  • Artzet Simon, INRA (FRA)
  • Brichet Nicolas, INRA (FRA)
  • Chopard Jérôme, INRA (FRA)
  • Pradal Christophe, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-2555-761X
  • Alvarez-Prado Santiago, INRA (FRA)
  • Cabrera-Bosquet Llorenç, INRA (FRA)
  • Welcker Claude, INRA (FRA)
  • Tardieu François, INRA (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/587852/)

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