Correlations between Growth and Yield Parameters of Soybean (Glycine max (L.) Merr.) under the Influence of Bradyrhizobium japonicum in Kipushi (The Democratic Republic of Congo)

Abstract

This study aimed to evaluate the correlations between different agronomic parameters and their contribution to soybean performance under Bradyrhizobium japonicum influence. The experiment was carried out at Kanyameshi (Kipushi), following a Split Plot design, with three strains of Bradyrhizobium japonicum (GraphExTM, Bradyrhizobium sp and Sojapak ® 50) and four soybean varieties (TGX 1740-7F: V1, PAN 1867: V2, TGX 1880-3E: V3 and LUKANGA: V4). The strongest correlations were obtained between fresh biomass and plant height, the number of stems and collar diameter, fresh biomass and collar diameter, number of stems and plant height, number of roots and number of stems, fresh biomass and number of roots, number of pods and number of leaves. The collar diameter is the most positively correlated parameter with both growth and soybean yield parameters. While lifting rate, collar diameter, plant height, number of stems, number of leaves, fresh biomass, number of nodules and number of pods are the most linked to soybean grain yield. A significant negative correlation was observed between number of leaves and the weight of 100g. Fresh biomass was found to be more predictable, whereas number of leaves is the growth parameter that contributes most to soybean fresh biomass. Based on their decreasing contribution to fresh biomass, the various parameters can be classified as follows: Number of leaves>number of root>plant height> collar diameter. Among examined agronomic parameters, only four contribute directly to the soybean yield, namely number of leaves, number of pods, fresh biomass and collar diameter. By applying Bradyrhizobium japonicum to the four soybean varieties, the correlations between observed parameters were enhanced. This study is a major contribution in the conduct of soybean cultivation as it identified the parameters on which the farmer should focus to maximize soybean grain yield.

Breeding of Rj Gene-Accumulated Soybean Genotypes and Their Availability for Improving Soybean Productivity

“…Although this experiment was set in a greenhouse using cultivation pots, a significant positive correlation between the occupancy rate of USDA 110 and shoot dry weight of soybean plants was noted (r = 0.86, p = 0.03). A positive correlation between soybean growth and yield has been reported in previous study [59][60][61][62]. In the present study, yield was positively correlated with plant height (r = 0.35) and shoot dry weight (r = 0.75), albeit without significant differences (Figure 3).…”

Assessing genetic diversity in rough lemon (Citrus jambhiri Lush) using morphological characters

“…This implies that the value increase of one of this parameter leads to an increase in the parameter to which it is significantly correlated (Shivananda et al, 2013;Kasu-Bandi et al, 2019). Indeed, the positive link between this parameter is an important indicator in the conduct of the Rough lemon.…”

Effects of Bradyrhizobium japonicum on Some Chemical Properties of Ferralsols under Soybean (Glycine max (L.) Merr.) Cultivation

“…The results revealed similar effects between different rhizobial strains on pH, Nitrogen, C/N ratio and soil organic matter at flowering and harvest in both study sites (p>0.05). Several studies have shown that the success of inoculation depends not only on the strain itself, but also on its ability to withstand poor environmental conditions (Smil, 2002;Thies et al, 1991;Nazih et al, 1993;Tshibuyi et al, 2019) on the one hand and, on the other hand, to survive in the soil as saprophytic microorganisms beyond the first month following the inoculation (Gibson and Harper, 1985). The pH under the inoculated treatments remains close to neutral compared to the control inoculated in Kanyameshi site at harvest.…”