Correlations and path analysis in soybean progenies with resistance source to cyst nematode (race 3)

Abstract

Path analysis is an important study that slices the correlation coefficients between two variables to evaluate whether the relationship between them is of cause and effect. This study aimed to estimate the phenotypic and genotypic correlations between agronomic traits and perform a path analysis in order to identify variables for indirect selection aiming at a higher grain yield. Fourteen soybean F6 lines from the soybean breeding program of FCAV–UNESP, Jaboticabal, São Paulo, Brazil, were analyzed. The experimental design was a randomized block design with three replications. The agronomic traits plant height at maturity (PHM), first pod height (FPH), lodging (Ld), agronomic value (AV), number of pods per plant (NP), number of seeds per plant (NS), and grain yield (GY) were evaluated. Overall, the genotypic correlations were higher than their corresponding phenotypic correlations. The genotypic correlations between grain yield and the traits agronomic value, number of pods per plant, and number of seeds per plant were positive, significant, and of high magnitude. Path analysis showed that the trait number of seeds per plant had the highest direct effect on grain yield, while the trait number of pods per plant had the highest indirect effect through the number of seeds per plant on grain yield

Association between traits related to fruit quality in papaya (Carica papaya L.) hybrids and their implications for selection

“…Among the 28 correlations analyzed, 20 presented genotypic magnitudes higher than phenotypic ones, especially when they showed negative values (Table 1). These results are desirable for selection, as the environmental effects have not outweighed the genetic effects (Dvorjak et al., 2019). For other variables, the genotypic correlation showing higher magnitudes than the phenotypic correlation, but there was no significant variation between both correlations in some associations.…”

Yield of soybean genotypes identified through GGE biplot and path analysis

“…Furthermore, the traits of HPI and NDM must be prioritized in the selection of superior soybean genotypes due to their direct and indirect effects on GY, which were very influential in all cultivation environments. Hence, indirect selection to increase GY is an efficient selection strategy to optimize the genetic gain of soybeans [ 40 ], even when considering contrasting environments.…”

Correlation and Path Coefficient Analysis of Grain Yield and its Growth Components in Soybean (Glycine max. L.)

“…Magashi et al, (2018) observed the association among some qualitative characters of different varieties of Soybean in the Sudan Savannah region. Dvorjak et al, (2019) conducted experiment to estimate the phenotypic and genotypic correlations between agronomic characters and perform a path analysis in order to identify growth components for indirect selection of high grain yielding variety of soybean crop. Patil and Deshmukh (1989) and Iqbal et al, (2003) also described the use of path analyses in blackgram breeding.…”