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Designing oil palm architectural ideotypes for optimal light interception and carbon assimilation through a sensitivity analysis of leaf traits
Author(s) -
Raphaël P.A. Perez,
Jean Dauzat,
Benoît Pallas,
Julien Lamour,
Philippe Verley,
JeanPierre Caliman,
Evelyne Costes,
Robert Faivre
Publication year - 2017
Publication title -
annals of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.567
H-Index - 176
eISSN - 1095-8290
pISSN - 0305-7364
DOI - 10.1093/aob/mcx161
Subject(s) - interception , leaf area index , biology , canopy , petiole (insect anatomy) , agronomy , ideotype , specific leaf area , biomass partitioning , leaf size , leaflet (botany) , elaeis guineensis , shading , botany , photosynthesis , agroforestry , biomass (ecology) , cultivar , palm oil , ecology , computer science , hymenoptera , computer graphics (images)
Enhancement of light harvesting in annual crops has successfully led to yield increases since the green revolution. Such an improvement has mainly been achieved by selecting plants with optimal canopy architecture for specific agronomic practices. For perennials such as oil palm, breeding programmes were focused more on fruit yield, but now aim at exploring more complex traits. The aim of the present study is to investigate potential improvements in light interception and carbon assimilation in the study case of oil palm, by manipulating leaf traits and proposing architectural ideotypes.

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