Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

Ming Pei You

Ming Pei You

University of Western Australia, Australia

Title: Critical factors driving soilborne root disease epidemics in clovers revealed and explained

Biography

Biography: Ming Pei You

Abstract

Subterranean clover (Trifolium subterraneum) is a critical pasture legume in Mediterranean regions of southern Australia and regions with Mediterranean-type climates in Europe, Africa, Asia, Australia, North America, and South America. Damping-off and root disease, caused by a complex of pathogens, particularly Pythium irregulare, Phytophthora clandestina, Aphanomyces trifolii and Rhizoctonia solani, is devastating across most of 20m ha of clover pastures in southern Australia. Studies were conducted to define how environmental factors namely temperature, soil type, moisture and nutrition as well as host variety, influence the severity of damping-off and root disease and consequent productivity in clover pastures under challenge by these pathogens. Relationships were statistically modelled using linear and generalized linear models and boosted regression trees. Modelling found complex relationships between explanatory variables and the extent of damping-off and root rot for each of the four pathogens. Linear modelling identified high-level (4 or 5-way) significant interactions for each response variable (emergence, tap and lateral root disease index, dry shoot and root weight). Furthermore, all explanatory variables temperature, soil, moisture, nutrition, variety were found significant as part of some interaction within these models. A second approach to modelling using boosted regression trees provided support for and helped clarify the complex nature of the relationships found in linear models. All explanatory variables showed significant relative influence on each of the five response variables. All models indicated differences due to soil type, with lowest weights, least emergence, as well as most disease for loam soil compared with a sand-based soil. Modelling helped reveal the complex nature of how fluctuating soil temperature, moisture and nutrition conditions, along with soil type and variety, all interact to determine damping-off and root disease severity in clover pastures and the consequent poor persistence and lack of productivity of subterranean clover pastures. For the first time, these studies explain the variations occurring across seasons, soils, geographic locations and varieties in terms of the severity and impact of soilborne root diseases.
 
 
Figure 1 a-e. Example of effect of environment factors (moisture, temperature, nutrition, soil type, variety) and their interactions on: a) clover emergence rate, b) tap root disease, c) lateral root disease, d) dry root weight, and e) dry shoot weight in presence of soilborne pathogens.