A. Hund

Thermal imaging can reveal variation in stay-green functionality of wheat canopies under temperate conditions

This study uses thermal imaging to assess stay-green functionality in wheat canopies under temperate conditions, finding measurable temperature differences linked to leaf activity traits.

From neglecting to including cultivar-specific per se temperature responses: Extending the concept of thermal time for plant development modeling

This study challenges the assumption of species-level temperature responses in plant development models by showing cultivar-specific temperature responses significantly affect phenology and other stressor interactions.

Combining high-resolution imaging, deep learning, and dynamic modelling to separate disease and senescence in wheat canopies

This paper develops a deep learning method to separate chlorosis and necrosis in wheat canopies, revealing their distinct contributions to greenness decay and enabling genetic studies of disease resistance.

Image-based phenomic prediction can provide valuable decision support in wheat breeding

This study uses image-based phenotyping to predict wheat yield and protein content, showing moderate accuracy and insights into genotype-environment interactions.

High-throughput field phenotyping reveals that selection in breeding has affected the phenology and temperature response of wheat in the stem elongation phase

This study uses high-throughput field phenotyping to show that wheat breeding since 1970 has altered phenology and temperature response in the stem elongation phase, aiding climate adaptation.

Phenomics data processing: Extracting dose-response curve parameters from high-resolution temperature courses and repeated field-based wheat height measurements

This study extracts temperature response parameters from field-based wheat height measurements using an asymptotic model, showing high precision for base temperature and growth rate but reduced accuracy with changing cardinal temperatures.

Phenomics data processing: A plot-level model for repeated measurements to extract the timing of key stages and quantities at defined time points

The paper develops a plot-level model for processing repeated high-throughput field phenotyping data to extract key stages and quantities, showing that P-splines and QMER are more robust than percentiles for timing extraction.

Temperature response of wheat affects final height and the timing of stem elongation under field conditions

This study examines how temperature affects stem elongation timing and final height in wheat under field conditions, identifying heritable QTLs linked to temperature response and flowering pathways.

In-field detection and quantification of Septoria tritici blotch in diverse wheat germplasm using spectral-temporal features

This study uses spectral-temporal features from hyperspectral data to detect and quantify Septoria tritici blotch in wheat, showing improved specificity and robustness compared to single-timepoint measurements.

Precision phenotyping reveals novel loci for quantitative resistance to septoria tritici blotch in European winter wheat

The paper uses high-throughput automated phenotyping to identify novel genetic loci associated with quantitative resistance to septoria tritici blotch in wheat.

Genetic determination of stomatal patterning in winter wheat (Triticum aestivum L.)

This study identifies genetic loci associated with stomatal density in winter wheat, providing targets for improving water use efficiency through marker-assisted selection.

Ranking quantitative resistance to Septoria tritici blotch in elite wheat cultivars using automated image analysis

This study ranks wheat cultivars for resistance to Septoria tritici blotch using automated image analysis, finding that resistance affecting host damage and pathogen reproduction are distinct traits.