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Andreas Hund

Group leader physiological breeding

ETH Zürich

Switzerland

Research Interests

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Professors in Switzerland Professors in Plant Biology Plant Biology professors in Switzerland

Articles (11)

Year:

2025

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2025

Year:

2025

Year:

2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

Collaborators (8)

Lukas Roth

Full professor

Martin Luther University Halle-Wittenberg

GERMANY

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Francisco Pinto

Assistant Professor

Wageningen University & Research

NETHERLANDS

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Lukas Kronenberg

Senior Scientist

Martin Luther University Halle-Wittenberg

GERMANY

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Achim Walter

Professor of Crop Science

ETH-Bereich Hochschulen

SWITZERLAND

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Marta S Lopes

Head

Institut de Recerca i Tecnologia Agroalimentàries

SPAIN

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Carlos A Robles-Zazueta

Researcher

Hochschule Geisenheim University

GERMANY

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Frank Liebisch

Head of the research group Water Protection and Substance Flows

Agroscope

SWITZERLAND

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Zijian Wang

University of Queensland

AUSTRALIA

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Andreas Hund

Research Interests

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Articles (11)

The FIP 1.0 Data Set: Highly resolved annotated image time series of 4,000 wheat plots grown in 6 years.

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

Linking root length and surface area to yield: variety-specific root plasticity in winter wheat across contrasting European environments

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

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

Swiss agriculture can become more sustainable and self-sufficient by shifting from forage to grain legume production

From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops

Wheat varieties show consistent differences in root colonization by mycorrhiza across a European pedoclimatic gradient

Frost Damage Index: The Antipode of Growing Degree Days.

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

Combining High-Resolution Imaging, Deep Learning, and Dynamic Modeling to Separate Disease and Senescence in Wheat Canopies

Collaborators (8)

Lukas Roth

Francisco Pinto

Lukas Kronenberg

Achim Walter

Marta S Lopes

Carlos A Robles-Zazueta

Frank Liebisch

Zijian Wang

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