A Study under Sodic Soil Condition for Estimation of Correlation and Path Coefficient Analysis of Rice (Oryza sativa L.) Yield and Its Component Traits

Effective selection necessitates knowledge of the nature and extent of population variation, character correlation with yield among individuals, and effect of environment on the assertion of these traits. Under timely seeded and irrigated conditions in sodic soil, this study used Augmented Block Design (ABD) to investigate correlations and path coefficients between yield and yield components in 85 germplasms, including four checks (Pusa sungandha-4, NDR-2065, sarjoo-52, Narendra usar-3). The correlation coefficient expresses the relationship between two variables, but it contains no information regarding cause and effect, such as which variable is dependent and which is independent. As a result, path-coefficient analysis must be utilized to examine the direct and indirect impact of numerous independent characters on a dependent character. The GYPP exhibited highly significant and positive correlations with BYPP and HI. When the genotypic correlation was assigned, it was discovered that characters like BYPP and HI had a positive direct impact on GYPP whereas characters DFF and DM were exhibited negative direct impact on GYPP. The most important indirect yield component was BYPP. As a result, these traits should be emphasized and further evaluated as a selection criterion for future rice improvement programmes in sodic soil.