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Can Genotypic Differences in Rice Response to Elevated CO 2 be Predicted with Proxy Traits Measured under Ambient CO 2 Levels?
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  • michael dingkuhn,
  • Denis Fabre,
  • Apolline Chemier,
  • Gregory Aguillar,
  • Sandrine Roques,
  • Xinyou Yin
michael dingkuhn
CIRAD Departement Systemes biologiques

Corresponding Author:[email protected]

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Denis Fabre
CIRAD Departement Systemes biologiques
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Apolline Chemier
CIRAD Departement Systemes biologiques
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Gregory Aguillar
CIRAD Departement Systemes biologiques
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Sandrine Roques
CIRAD Departement Systemes biologiques
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Xinyou Yin
Wageningen University & Research Plantenwetenschappen
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Abstract

Rising atmospheric [CO 2] causes global warming but may also benefit photosynthesis and yield of C3 crops such as rice. Previous research showed that positive effects depend on a cultivar’s sink-source ratio as sink limitation incurs acclimation of photosynthesis to elevated [CO 2] (e-CO 2). To enable breeding for e-CO 2 response, predictive, easily measurable proxy traits under ambient [CO 2] are needed. The local source-sink ratio (LSSR: flag leaf/panicle size) is a potential proxy trait, proposed by a previous study. We evaluated this and similar trait indices for two diverse rice cultivar samples under e-CO 2 vs ambient level in controlled environments. The significant negative effect of genotypic LSSR on maximum photosynthesis ( A max) under e-CO 2, and a similar but weaker effect on the grain yield response, was confirmed. However, LSSR observed was more predictive under e-CO 2 than ambient, rendering this proxy trait impractical for field-based selection. This difference was due to the phenotypic plasticity of LSSR between [CO 2] levels in our populations. Variants of LSSR incorporating SPAD leaf chlorophyll content and panicle sink capacity improved LSSR predictive power under ambient [CO 2] for A max. We conclude that genotypic sink-source ratio is an important physiological determinant of [CO 2] response, but proxy traits need to be further refined and field-validated to become useful selection or phenotyping tools for improved e-CO 2 response of rice.