The influence of composite traits on genotype by environment relations

Area of Science:

• Plant breeding
• Quantitative genetics
• Agricultural science

Background:

• Genotype-by-environment (GxE) interactions pose challenges in breeding programs aiming for multiple trait value functions.
• Optimizing genotype-environment pairings within Target Populations of Environments (TPEs) is complex due to GxE effects.

Purpose of the Study:

• To demonstrate how genotypic rankings can change across environments, even without trait-specific rank changes.
• To investigate the impact of linear value functions on genotypic ranking shifts in different environments.
• To provide a case example in pine breeding.

Main Methods:

• Analysis of genotype performance across multiple environments.
• Evaluation of linear value functions for trait assessment.
• Case study application in pine breeding.

Main Results:

• Genotypic rankings in value can change between environments, irrespective of individual trait rankings.
• This phenomenon occurs even when using linear value functions.
• The study illustrates this effect using a pine breeding example.

Conclusions:

• GxE interactions can alter genotypic value rankings in complex ways, beyond simple trait-based shifts.
• Understanding these shifts is crucial for effective breeding program design and genotype selection.
• The findings have implications for optimizing breeding strategies in forestry and other applications involving GxE effects.