Abstract
In order to assess the influence of climatic factors on abundance of conidia of dry flower pathogens, Pestalotiopsis macadamiae and Neopestalotiopsis macadamiae, a Burkard spore trap was used to determine daily aerial conidia concentration at Alstonville (28.852° S, 153.456° E), New South Wales, Australia. Weather data including minimum and maximum air temperatures, rainfall, wind speed and relative humidity were obtained from an automated weather station at the same location. The effect of each, and the combined climatic parameters on conidia abundance was analysed using the GLM procedure for the all-subset regression link functions. A model containing weekly maximum temperature and weekly rainfall produced the best significant effect on conidia abundance (R2 = 72.7%, P = 0.003) compared with the model containing daily data of both climatic parameters (R2 = 35.4%, P = 0.000). In vitro assays were established to examine the effect of different temperatures (12, 19, 22, 25, 29, 33, 37 and 41 °C) on growth and reproduction of the pathogens. The results showed that maximal mycelial growth, conidia production and germination occurred at 25 °C and declined significantly (P < 0.05) at cooler and warmer temperatures. Temperatures above 40 °C were lethal for growth and functioning of the pathogens. The results confirmed that air temperature significantly influenced growth and reproduction of both dry flower pathogens. These findings will underpin development of a disease prediction model for dry flower in macadamia.
Funding
This work was supported by grant from the Hort Innovation using the Macadamia levy Fund, and Commonwealth government for Project MC 16018.
Acknowledgments
UQ Research Training Scholarship for K.P., and the Department of Primary Industries, New South Wales, Australia are gratefully acknowledged.
Conflicts of Interest
The author declares no conflict of interest.
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