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Plant-to-plant variation and correlation structure of grain yield, yield components, and biomass within a Kernza (intermediate wheatgrass) population

Main subject area: Perennial cereals; Kernza (intermediate wheatgrass); yield components; dual-purpose grain–forage traits; breeding-relevant phenotyping

Short project description

Intermediate wheatgrass (Thinopyrum intermedium; Kernza) is being domesticated as a perennial grain crop with potential environmental benefits and emerging value as a dual-purpose crop providing both grain and forage/biomass. However, grain yield remains low and highly variable, and breeding programs emphasize improved seed size, reduced shattering, and enhanced threshability alongside increased grain yield. Understanding plant-to-plant variation and the correlation structure among grain yield components (e.g., head number, grain number, kernel weight) and whole above ground biomass is essential to define practical selection criteria for dual-purpose ideotypes and to identify potential trade-offs or synergies.

This project quantifies within-population plant-to-plant variation of grain yield and key yield components and evaluates correlations between grain-related traits and a forage biomass measure collected on the same individuals. The analysis will combine descriptive variability metrics and correlation analyses, and, where appropriate, a yield-component path/structural equation framework to clarify direct and indirect relationships among components. 

 

Department and supervisor

Project start

Anytime

Physical location of project and students work

Blichers Alle 20, Tjele, 8830-DK

Extent and type of project

30 ECTS: Theoretical thesis based on literature studies and/or analysis of issued and edited data sets.

45 or 60 ECTS: Experimental thesis in which the student collects individual-plant measurements in one site-season and performs the statistical analysis.

Additional information

The project can be embedded in an ongoing Kernza/IWG field trial or a spaced-plant breeding nursery to enable individual-plant harvests. Data collection will focus on a limited set of core traits (grain yield, spike number, seed number per spike, thousand-kernel weight, and biomass measure) to keep the scope feasible while producing breeding-relevant insights. Supervision will be conducted by Eusun Han with the co-supervision of Yuma Ikeda. The student will also work together with different researchers and technical staff.