Ethanol, at physiological concentrations, affects ethylene sensing in tomato germinating seeds and seedlings.

Ethanol is known to accumulate in various plant organs under various environmental conditions. However, there are very scarce data about ethanol sensing by plants. We observed that ethanol accumulates up to 3.5 mM during tomato seed imbibition, particularly when seeds were stacked. Stacked seeds germinated less than spread out seeds suggesting ethanol inhibits germination. In support of this, exogenous ethanol at physiological concentrations, ranging from 1 to 10 mM, inhibited germination of wild type tomato seeds. However, the germination pattern over the whole ethanol concentration range tested was modified in an ethylene insensitive mutant, never-ripe (nr). The effects of exogenous ethanol were not linked to differences in ethylene production by imbibed seeds. But, we observed that exogenous ethanol at a concentration as low as 0.01 mM down regulated the expression of some ethylene receptors. Moreover, the triple response induced by ethylene in tomato seedlings was partially alleviated by 1 mM ethanol. Similar observations were made on Arabidopsis seeds. These results show there are interactions between ethylene sensing and ethanol in plants.

Multi-scale high-throughput phenotyping of apple architectural and functional traits in orchard reveals genotypic variability under contrasted watering regimes.

Despite previous reports on the genotypic variation of architectural and functional traits in fruit trees, phenotyping large populations in the field remains challenging. In this study, we used high-throughput phenotyping methods on an apple tree core-collection (1000 individuals) grown under contrasted watering regimes. First, architectural phenotyping was achieved using T-LiDAR scans for estimating convex and alpha hull volumes and the silhouette to total leaf area ratio (STAR). Second, a semi-empirical index (I PL) was computed from chlorophyll fluorescence measurements, as a proxy for leaf photosynthesis. Last, thermal infrared and multispectral airborne imaging was used for computing canopy temperature variations, water deficit, and vegetation indices. All traits estimated by these methods were compared to low-throughput in planta measurements. Vegetation indices and alpha hull volumes were significantly correlated with tree leaf area and trunk cross sectional area, while I PL values showed strong correlations with photosynthesis measurements collected on an independent leaf dataset. By contrast, correlations between stomatal conductance and canopy temperature estimated from airborne images were lower, emphasizing discrepancies across measurement scales. High heritability values were obtained for almost all the traits except leaf photosynthesis, likely due to large intra-tree variation. Genotypic means were used in a clustering procedure that defined six classes of architectural and functional combinations. Differences between groups showed several combinations between architectural and functional traits, suggesting independent genetic controls. This study demonstrates the feasibility and relevance of combining multi-scale high-throughput methods and paves the way to explore the genetic bases of architectural and functional variations in woody crops in field conditions.