Grain carbon isotope composition is a marker for allocation and harvest index in wheat
LAURENT, Valérie
Imagerie Adaptative Diagnostique et Interventionnelle [IADI]
Département de Radiologie adultes [CHRU Nancy]
Imagerie Adaptative Diagnostique et Interventionnelle [IADI]
Département de Radiologie adultes [CHRU Nancy]
LAMOTHE-SIBOLD, Marlène
Institut des Sciences des Plantes de Paris-Saclay [IPS2 (UMR_9213 / UMR_1403)]
Institut des Sciences des Plantes de Paris-Saclay [IPS2 (UMR_9213 / UMR_1403)]
TCHERKEZ, Guillaume
Research School of Biology, ANU Joint College of Science
Institut de Recherche en Horticulture et Semences [IRHS]
IRHS - Équipe SMS (Source and sink Metabolism and Stress responses) [IRHS-SMS]
< Réduire
Research School of Biology, ANU Joint College of Science
Institut de Recherche en Horticulture et Semences [IRHS]
IRHS - Équipe SMS (Source and sink Metabolism and Stress responses) [IRHS-SMS]
Langue
en
Article de revue
Ce document a été publié dans
Plant, Cell and Environment. 2022-05-09, vol. 45, n° 7, p. 2145-2157
Wiley
Résumé en anglais
Abstract The natural 13 C abundance (δ 13 C) in plant leaves has been used for decades with great success in agronomy to monitor water‐use efficiency and select modern cultivars adapted to dry conditions. However, in wheat, ...Lire la suite >
Abstract The natural 13 C abundance (δ 13 C) in plant leaves has been used for decades with great success in agronomy to monitor water‐use efficiency and select modern cultivars adapted to dry conditions. However, in wheat, it is also important to find genotypes with high carbon allocation to spikes and grains, and thus with a high harvest index (HI) and/or low carbon losses via respiration. Finding isotope‐based markers of carbon partitioning to grains would be extremely useful since isotope analyses are inexpensive and can be performed routinely at high throughput. Here, we took the advantage of a set of field trials made of more than 600 plots with several wheat cultivars and measured agronomic parameters as well as δ 13 C values in leaves and grains. We find a linear relationship between the apparent isotope discrimination between leaves and grain (denoted as Δδ corr ), and the respiration use efficiency‐to‐HI ratio. It means that overall, efficient carbon allocation to grains is associated with a small isotopic difference between leaves and grains. This effect is explained by postphotosynthetic isotope fractionations, and we show that this can be modelled by equations describing the carbon isotope composition in grains along the wheat growth cycle. Our results show that 13 C natural abundance in grains could be useful to find genotypes with better carbon allocation properties and assist current wheat breeding technologies.< Réduire
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