TY - JOUR
T1 - Quantifying physiological determinants of genetic variation for yield potential in sunflower. SUNFLO
T2 - a model-based analysis
AU - Lecoeur, Jérémie
AU - Poiré-Lassus, Richard
AU - Christophe, Angélique
AU - Pallas, Benoît
AU - Casadebaig, Pierre
AU - Debaeke, Philippe
AU - Vear, Felicity
AU - Guilioni, Lydie
PY - 2011
Y1 - 2011
N2 - Present work focussed on improving the description of organogenesis, morphogenesis and metabolism in a biophysical plant model (SUNFLO) applied to sunflower (Helianthus annuus L.). This first version of the model is designed for potential growth conditions without any abiotic or biotic stresses. A greenhouse experiment was conducted to identify and estimate the phenotypic traits involved in plant productivity variability of 26 sunflower genotypes. The ability of SUNFLO to discriminate the genotypes was tested on previous results of a field survey aimed at evaluating the genetic progress since 1960. Plants were phenotyped in four directions; phenology, architecture, photosynthesis and biomass allocation. Twelve genotypic parameters were chosen to account for the phenotypic variability. SUNFLO was built to evaluate their respective contribution to the variability of yield potential. A large phenotypic variability was found for all genotypic parameters. SUNFLO was able to account for 80% of observed variability in yield potential and to analyse the phenotypic variability of complex plant traits such as light interception efficiency or seed yield. It suggested that several ways are possible to reach high yields in sunflower. Unlike classical statistical analysis, this modelling approach highlights some efficient parameter combinations used by the most productive genotypes. The next steps will be to evaluate the genetic determinisms of the genotypic parameters.
AB - Present work focussed on improving the description of organogenesis, morphogenesis and metabolism in a biophysical plant model (SUNFLO) applied to sunflower (Helianthus annuus L.). This first version of the model is designed for potential growth conditions without any abiotic or biotic stresses. A greenhouse experiment was conducted to identify and estimate the phenotypic traits involved in plant productivity variability of 26 sunflower genotypes. The ability of SUNFLO to discriminate the genotypes was tested on previous results of a field survey aimed at evaluating the genetic progress since 1960. Plants were phenotyped in four directions; phenology, architecture, photosynthesis and biomass allocation. Twelve genotypic parameters were chosen to account for the phenotypic variability. SUNFLO was built to evaluate their respective contribution to the variability of yield potential. A large phenotypic variability was found for all genotypic parameters. SUNFLO was able to account for 80% of observed variability in yield potential and to analyse the phenotypic variability of complex plant traits such as light interception efficiency or seed yield. It suggested that several ways are possible to reach high yields in sunflower. Unlike classical statistical analysis, this modelling approach highlights some efficient parameter combinations used by the most productive genotypes. The next steps will be to evaluate the genetic determinisms of the genotypic parameters.
KW - biophysical model
KW - Helianthus annuus
KW - phenotypic characterisation
KW - phenotypic expression of genotypic variability
KW - yield potential
UR - http://www.scopus.com/inward/record.url?scp=79953304706&partnerID=8YFLogxK
U2 - 10.1071/FP09189
DO - 10.1071/FP09189
M3 - Article
AN - SCOPUS:79953304706
SN - 1445-4408
VL - 38
SP - 246
EP - 259
JO - Functional Plant Biology
JF - Functional Plant Biology
IS - 3
ER -