A Study on Correlation and Path Coefficient Analysis for Yield and Associated Traits in Bread Wheat (Triticum aestivum L.)

Abstract

Wheat (Triticum aestivum L.) is the world's most important cereal grain which contains carbohydrate, protein, fat, minerals and significant amounts of vitamins. A study was conducted in Augmented Block Design with 105 genotypes of bread wheat with four checks (HD-2967, DBW-222, DBW-107, and HD-2733) for estimation of means, range, correlations and path-coefficient. A wide range of variations were observed for different characters under study. The genotype , , , produced highest grain yield plant -1 followed by NW-8076 (15.36) and . In case of correlation study, grain yield plant -1 had a highly significant and positive correlation with tillers plant -1 , biological yield plant -1 , peduncle length, and spike length; whereas a non-significant negative correlation was found with days to 50% flowering, plant height and days to maturity. In path coefficient analysis, major positive direct effect on grain yield plant -1 was exerted by biological yield plant -1 , followed by harvest-index, number of grain spike -1 , peduncle length, number of tillers plant -1 , test weight, days to 50% flowering and spike length. Tillers plant -1 and peduncle length exhibited high order positive indirect effects on grain yield plant -1 via biological yield (0.87) and (0.69) respectively. The characters showing highly significant positive correlation among yield and its components can be further validated and if consistent performance is found in future study; emphasis should be given to those characters while developing high yielding varieties.

Character Association and Path Analysis for Yield and Yield Attributing Traits in Bread Wheat [Triticum aestivum (L.) em Thell] Genotypes

“…Since the direct effect were negative, so the direct selection for these traits to improve yield will be undesirable. Similar results were in accordance with findings of Singh et al [20]; Zu et al [16]; Kumar et al [21]; Ayer et al [22]; Nagar et al [18]. Number of grains per spike showed positive indirect effect via plant height, biological yield per plant.…”

“…The results indicate that several factors, plant height, biological yield per plant, number of grains per spike, days to maturity and 1000grain weight had positive direct effect on grain yield. Similar findings reported by Sharma et al [14]; Santhoshini et al [15]; Singh et al [20]. Consequently, focusing and selecting these specific traits would prove beneficial in effectively enhancing the overall productivity of bread wheat.…”

Correlation and Path Coefficient Analysis in Wheat (Triticum aestivum L.)

“…The plant's biological yield (0.30) had the largest positive direct impact on grain yield per plant, followed by the weight of 1000 grains (0.16), harvest index (0.13), tillers per plant (0.10), grains per spike (0.08), days to maturity (0.02), and peduncle length (0.01). Singh and Sharma, [16]; Khan et al, [4]; Anwar et al, [7]; Kumar et al, [13]; Dutamo et al, [14]; Singh et al, [11]; Sharma et al, [6] also reported the similar findings. The direct effects of the remaining characters were determined to be insignificant enough to warrant consideration.…”

“…In the current investigation, harvest index, 1000-grain weight, and biological yield per plant were found to be significant direct yield contributing variables through correlation and path coefficient analysis. The findings of Sharma et al [5], Anwar et al [7], Singh et al [11], Singh et al [15], Potdukhe et al [12], Kumar et al [13], Dutamo et al [14], and Singh et al [16] are comparable to these results. The aforementioned characters were worthy of consideration when formulating a selection strategy intended to produce high-yielding wheat varieties [17][18][19].…”

“…Following the harvest index (0.18) and 1000grain weight (0.11), the grain yield per plant showed a highly significant and positive correlation with the biological yield per plant (0.31). Previous researchers [4][5][6][7][8][9][10][11][12][13][14][15] have also noted a strong positive association between grain yield and one or more of the aforementioned traits. The aforementioned discussion demonstrated that there was a significant and positive correlation between grain yield per plant and the key yield components, such as biological yield per plant, harvest index, and 1000-grain.…”