• Assaye Berie
• Tiegist Dejene

: In Ethiopia, rice is an increasingly important food, feed, cash and flagship crop. To improve yield and its related traits of rice genotypes, understanding and prioritizing important traits relationship through correlation and path coefficient analysis is essential. Therefore, the aim of this study was to determine the direct and indirect associations of the 13 studied traits among 100 rice genotypes in northwestern Ethiopia. The experiment was performed using a triple lattice design with 10×10 in the 2021/22 main cropping season. Grain yield showed positive and highly significant (P<0.01) associations with maximum tillering ability (rg = 0.41** and rp = 0.33**), fertile tillers (rg = 0.38** and rp = 0.30**), non-fertile tillers (rg = 0.36** and rp = 0.26**), panicle length (rg = 0.50** and rp = 0.41**), filled spikelets per panicle (rg = 0.48** and rp = 0.39**), days to 85% maturity (rg = 0.40** and rp = 0.26**), days to 50% heading (rg = 0.38** and rp = 0.24**), above ground biomass yield (rg = 0.35** and rp = 0.52**) and harvest Index (rg = 0.79** and rp = 0.66**) traits for both genotypic (rg) and phenotypic correlation (rp). The combined results of correlation and path coefficient analysis indicated that harvest index and biomass yield had strong positive direct effects, and number of days to 85% maturity had a strong positive indirect effect on grain yield. Hence, during selection, it is better to prioritizing these three traits to improve grain yield.

Correlation, genotype, path coefficient, rice, trait

"Correlation and Path Coefficients Analysis for Yield and Its Components of Rice (Oryza sativa L.) Genotypes in Northwestern Ethiopia", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 9, page no.e233-e241, September-2024, Available :http://www.jetir.org/papers/JETIR2409430.pdf

"Correlation and Path Coefficients Analysis for Yield and Its Components of Rice (Oryza sativa L.) Genotypes in Northwestern Ethiopia", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 9, page no. ppe233-e241, September-2024, Available at : http://www.jetir.org/papers/JETIR2409430.pdf