Variability of Diverse Rice Germplasm for Panicle Architecture
Rice, (Oryza sativa) is a staple food source for a significant portion of the world's population, faces a pressing challenge: meeting the rising global demand for rice while dealing with limited arable land, particularly in the face of urbanization pressures. To address this, enhancing the yield potential and sustainability of rice cultivars is paramount. Grain yield (GY) of rice is a complex polygenic trait influenced by various other traits, such as panicle length (PL), total grain weight per panicle (TGW), number of grains per panicle (GPP), filled grain weight per panicle (FGW) and number of filled grains per panicle (FGP). Understanding traits that have a positive impact on rice yield and identifying genes associated with these traits are of great significance in production of enhanced rice varieties and for future research programs. This knowledge serves as the foundation for targeted breeding efforts and advancements in agricultural science. Therefore, this study will focus on evaluating phenotypic correlation among six yield contributing traits in rice to analyze their interrelationships. This information can be further used by plant breeders in future breeding programs with objectives to identify molecular markers/QTLs associated with yield contributing traits in rice and to develop high- yield rice varieties in the selected population. There is a wide variation among the studies traits : PL, PE, TGW, GPP, FGP, FGW across the 220 rice genotypes studied in both years 2022 and 2023. A significant positive correlation exists among TGW, GPP, FGW, and FGP which should be considered while selecting traits to improve rice yield, Whereas PE have shown weak positive correlation with all other traits in 2022, but in 2023 it had negative correlation with the main yield contributing traits such as TGW, GPP, FGW, and FGP. So, breeders with an objective to improve rice yield might avoid this trait selection. Significant genotypes such as RU-1003098 and Romeo have exhibited exceptional traits, hence emphasizing their significant potential for inclusion in breeding programs. These findings underline the significance of informed trait selection strategies by understanding correlation between these traits and ensuring efficient and targeted efforts in rice breeding programs.
rice, grain-yield, correlation, genes, breeding programs
Uppalanchi, P. (2023). Variability of diverse rice germplasm for panicle architecture (Unpublished thesis). Texas State University, San Marcos, Texas.