Path Coefficient Analysis for Grain Yield and Some of its Attributes in Bread wheat (Triticum aestivum L.)

Abstract

Path coefficient analyses were applied to detect the direct and indirect effects upon grain yield/plant in three groups as a: each of seed index, biological yield/plant and weight of spikes/plant; b: each of thrashing index, biological yield/plant and weight of spikes/plant; and c: all studied grain yield attributes. population of 5 and F 4The three groups of path analyses were applied through F early and late pedigree line selection . The direct effects of biological yield and weight of spikes spikes/plant were decreased from the starting generations to final selections in the three groups, except final early selections possessed increased values in group two (g2) and group three (g3) for weight of spikes/plant. Otherwise, the direct effect of harvest index on grain yield was increased from started base to final selections. These results exhibited that the direct effects of those three traits on grain yield were responded differently according to the rearrangement of their genetic make-up across the different generations of selections and the type of path analysis.

Path Coefficient Analysis for Yield and Its Attributing Traits in Wheat (Triticum aestivum L.)

“…Rest of the traits have negative direct influenced grain yield per plant. The similar results were found by Bhushan et al [8], Bhutta et al [9] and Abo-Elwafa et al [10].…”

“…On the other side days to maturity and days to flower (75%) showed positive indirect effect on plant height. Plant height is the characters which contribute largely to grain yield reported by Bhutta et al [9]. Plant height was the important contributor towards the grain yield suggested by Yadav et al [11].…”

Unveiling the Complexity of Yield Traits through Genetic Variability, Correlation, and Path Analysis across Diverse Bread Wheat [Triticum aestivum (L.) em. Thell] Germplasm

“…Harvest index has indirect positive effect via days to maturity (0.072) and it was revealed negative indirect effect via biomass (-0.0629) and the remaining has negligible indirect negative and positive effects at the phenotypic level. Similar results were shown by Kumar et al, [39]; Abo-Elwafa et al, [40]; Bhardwaj et al, [41].…”

Estimate of Genotypic and Phenotypic Correlation and Path Coefficients in Bread Wheat (Triticum aestivum L.)

“…Amin et al [18] also supported the direct effect of physiological maturity for grain yield per plant. Similar results were found by Khanal et al [19] for flag leaf width Sapi et al [20], Meena et al [21], Oliveira et al [22], Rohith et al [23], Abo-Elwafa et al [24], Kumar et al [25], Santhoshini et al [26] and Singh et al [27] for number of grain per plant, flag leaf width, physiological maturity and yield per plot. Selection focusing on these traits may result in yield improvement.…”