Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Generation of Brassica napus L.

Abstract

The present study was conducted involving 62 F 3 genotypes of Brassica napus L. at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh to ponder the genetic variability, phenotypic, genotypic and environmental coefficient of variation, heritability and genetic advance, correlation, path coefficient and genetic diversity analysis in a randomized complete block design (RCBD) with sixty-two genotypes (treatments) with three replications during November 2014 to February 2015. The investigations aimed to select the best segregating genotypes for the yield improvement of Brussica napus (rapeseed). Analysis of variance indicated Nur-E-Nabi et al.; JSRR, 22(3): 1-12, 2019; Article no.JSRR.46774 2 that the genotypes were found significantly different for all the characters considered. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits investigated. The high GCV value was observed for the number of siliqua per plant (NSP), plant height (PH), silique length (SL), number of seed per silique (NSS) and seed yield per plant (SYP) indicated high broad sense heritability. The significant positive correlation with seed yield per plant (SYP) was found in plant height (PH) (0.368**), the number of primary branches per plant (NPB) (0.332**), number of secondary branches per plant (NSB) (0.382**), number of silique per plant (NSP) (0.549**), and siliqua length (SL) (0.037**). The results of path coefficient analysis uncovered that plant height (PH) (0.582), days to 50% flowering (50F) (0.390), days to maturity (DM) (0.575), number of primary branches per plant (NPB) (0.678), number of secondary branches per plant (NSB) (0.182),and thousand seed weight (TSW) (0.289) had a positive direct impact on seed yield per plant (SYP) and thus it was concluded that these traits could be exploited for the enhancement of yield potential of rapeseed. This study showed that based on the agronomic performance execution, genotypes G8, G14, G19, G21, G47, and G55 might be proposed for future hybridization program in Bangladesh and this could help rapeseed breeders to upgrade their breeding activities. Original Research Article

Studies on correlation and path coefficient analysis to explore the inter-relationships among grain yield and related traits in Indian mustard (Brassica juncea L. Czern and Coss.) particularly under timely and late sown conditions

“…All the traits except plant height and primary branching exerted high extent of positive indirect effects on seed yield per plant via harvest index in both E1 and E2 conditions i.e., biological yield per plant (0.4150 and 0.2284), number seeds per siliqua (0.3789 and 0.3324), secondary branching (0.3435 and 0.3093), no. of silique on main raceme (0.3324 and 0.3346), length of main raceme (0.3046 and 0.2714), days to maturity (0.2140 and 0.1620), 1000-seeds weight (0.2125 and 0.1887), and days to 50% flowering (0.1965 and 0.2292), Similar finding were reported by Yadava et al (2012) [21] , Yohannes and Belete (2013) [22] , Singh et al (2013) [14] , Lodhi et al (2014) [5] , Shekhawat et al (2014) [13] , Tahira et al (2015) [18] , Dipti et al (2016) [3] , Singh et al (2017) [16] , Rauf and Rahim (2018) [9] , Nur-E-Nabi et al (2019) [7] and Tripathi et al (2020) [19] . At phenotypic level, the highest positive direct effect on seed yield/plant was exerted by harvest index (0.8102 and 0.8463 respectively) followed by biological yield per plant (0.4382 and 0.4529) respectively in E1 and E2 conditions.…”

Path Analysis Reveals Linkage Between Phosphorusutilization Efficiency With Stem Biomass in Rice

“…Under these circumstances, a restricted simultaneous selection model needs to be followed; in other words, restrictions need to be imposed to nullify the undesirable effects in order to make use of direct effect (Rashid et al, 2010). But, relative shoot dry weight and relative SL carries both significant positive correlations and high positive direct effect on relative stem dry weight making these the most important traits to be used as selection criterion which would be helpful for the screening and further improvement in low P tolerant rice genotypes.…”