Correlation and Path Coefficient Analysis in White Fruited Brinjal Genotypes

Abstract

The present investigation was carried out at three different locations for eleven genotypes during Summer and Rainy seasons of 2023. The transplanting was performed during Summer and Rainy seasons at each location creating six environments. Understanding the nature of relationships among yield and yield contributing traits is essential for identifying effective selection criteria to enhance fruit yield. Correlation analysis revealed that fruit yield per plant was positively and significantly associated with number of fruits per plant, fruit length, and fruit length: breadth ratio, while it was negatively correlated with days to 50% flowering, days to first picking, and fruit breadth. Path coefficient analysis further confirmed that the number of fruits per plant had the highest positive direct effect on yield, followed by fruit weight and number of leaves per plant. Traits such as fruit volume, fruit flesh density, and days to first picking exhibited negative direct effects on yield, though some contributed positively through indirect effects. These findings highlight the importance of early flowering, fruit number, and optimal fruit shape in yield improvement. The study provides valuable insights for breeders aiming to develop high-yielding white fruited brinjal varieties through effective trait selection and improvement strategies.