:The use of phosphate-solubilizing bacteria (PSB) as a biological fertilizer of Agricultural land is one solution to overcome problem of phosphate availability for plants. However, often application of a biological fertilizer is ineffective for certain places. The purpose of this study was to obtain indigenous phosphate solubilizing bacterial isolates that can be effective in the area of Malang. Samples were collected from rhizosphere of green bean plants at three locations in Malang, East Java. The study was conducted to determine the total bacterial population of soil samples, to select the best three bacterial isolates in phosphate solubilizing ability, which is not antagonistic and nonpathogenic for plants, along with observing its potential as a bacterial consortium. The highest total population was found in FHR samples of 1.5x10 11 CFU / mL. We have selected three bacterial isolates namely SPP1, SPP2 and SPP3. They were not antagonistic to each other and nonpathogenic on mungbean sprouts. They had possibility of producing growth hormone which characterized by an increasing in length of plant and total root length, be compared to controls. Strain SPP2 has shown the highest activity of phosphate solubilization then was selected for 16S rRNA identification. Similarity test of genome sequence of strain SPP2 had 99% similarity with Pseudomonas plecoglossicida strain PR19.
Plants that experience drought stress protects themselves through several mechanisms namely avoidance, tolerance, recovery, and escape. Eight varieties of yardlong bean plants were subjected to a drought stress at the rates of 50% of the field capacity (FC) and 100% of the field capacity (FC). The results showed that yardlong bean plants possessed the mechanisms of escape, demonstrated by the increase in Peroxidase (POX) enzyme activity. Avoidance was demonstrated by the reduced evapotranspiration surface of the decreased leaf surface area, and the increased number of closed stomata. Tolerance was demonstrated by the increased proline accumulation.
This study aims to determine the factors influencing the yield of sweet potatoes using the Principal Component Analysis (PCA). Meanwhile, this tool was used to form new set of smaller and mutually independent variables (no longer correlated) based on the research variables which includes Plant Length (PL), Number of Leaves (NL), Number of Shoots (NS), Leaf area (LA), Total Fresh Weight (TFW), Number of Tubers (NT), Fresh Weight of Tuber (FWT), Dry Weight of Tuber (DWT), and Harvest Index (HI). The results showed that the combined effect of TFW, NT, FWT, and DWT, as the main determinants of sweet potatoes yield was 71.048% as indicated by the total variance (cumulative percent of variance). Therefore, treatments in line with these values are important for improved crop yield.
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