TESTING OF THREE ISOLATES OF THE FUNGUS MACROPHOMINA PHASIOLINA IN THEIR PATHOGENICITY AND SENSITIVITY TO SOME SUBSTANCES THAT INHIBIT THEIR GROWTH.

Autor: Hassen, Salih Mohammed Asmail
Předmět:
Zdroj: International Journal of Agricultural & Statistical Sciences; 2022 Supplement, Vol. 18, p1883-1888, 6p, 1 Chart
Abstrakt: The results of the sensitivity and pathogenicity test showed three isolates of the fungus Macrophomina phasiolina that were isolated from sesame plant, sunflower, and watermelon, which showed symptoms of charcoal rot disease from some agricultural fields in AL-Hawija district, Kirkuk province, Iraq. There is variance in the inhibition of the growth of its colonies to the effect of compounds of silver nitrate, impurity sulfate, potassium chloride and salicylic acid for three concentrations of 200, 500, and 700 mg / L and by the method of poisoning solid culture medium PDA, and from the rate of sensitivity to inhibition of isolates by these chemical compounds, the results showed a significant difference between them. The highest colony diameter was recorded for the isolate of the sun flower and the lowest with that of the watermelon plant, as they reached 4.15 and 3.56 cm, respectively. In addition to that, there was a significant difference in the pathogenicity of the colony infiltrate of isolates, and for three concentrations of 10, 20, and 30% in the germination percentage of the red cabbage seeds of the cultivar cloze, the virulence of the two isolates of sunflower and sesame in reducing the germination rate with a significant difference from the isolate of watermelon, which amounted to 69.18, 71.18, 75.55 %, respectively. In addition, both isolates excelled on infection percentage and severity on the sunflower plant of the local culture, as they were 32.33, 27.77, 0.21, 0.17 and contributed to achieving the most loss in the growth traits studied for the height of the plant and the failure rate of disc formation and disc weight compared to the proper comparison treatment. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index