Twenty-one rice genotypes were tested in a randomized block design with three replicates, using quantitative genetics and multivariate statistics to identify yield-related traits and breeding candidates. Biomass and grains per panicle emerged as major yield determinants within this experiment.
Key findings
- Most traits differed strongly among genotypes (p
Why this matters globally
Multi-trait selection can avoid choosing on yield alone and help identify parents balancing productivity and grain quality. The workflow is transferable, but selected genotypes require multi-environment validation.
Thai researcher contribution
Walailak University-affiliated researchers participated in trait-network and multivariate-selection analysis within an international collaboration. The abstract does not establish that field trials occurred in Thailand, so results should not be presented as Thai-field performance.
Limitations to consider
The study includes 21 genotypes, three replicates, and no reported multi-season or multi-location validation. Heritability and path coefficients are population- and environment-specific, PCA captures only part of variation, and rankings depend on index weights.