Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/55628
Title: Phytophthora root rot of chickpea: inoculum, pathogenicity and resistance phenotyping
Contributor(s): Bithell, Sean Lloyd (author); Flavel, Richard  (supervisor)orcid ; Drenth, Andrew (supervisor); Moore, Kevin (supervisor); Backhouse, David  (supervisor)orcid 
Conferred Date: 2023-09-04
Copyright Date: 2023-03
Thesis Restriction Date until: 2025-03-04
Handle Link: https://hdl.handle.net/1959.11/55628
Related Research Outputs: https://hdl.handle.net/1959.11/61785
https://hdl.handle.net/1959.11/62490
https://hdl.handle.net/1959.11/62491
https://hdl.handle.net/1959.11/62492
Abstract: 

Phytophthora root rot (PRR) caused by Phytophthora medicaginis is the major root disease of chickpea (Cicer arietinum) in north-eastern Australia. Improving resistance to P. medicaginis has been a high priority for Australian chickpea breeding. Despite this high priority the understanding of P. medicaginis population dynamics and relationship to yield loss, variation in P. medicaginis isolate aggressiveness and the most effective partial resistance phenotyping methods remain significant knowledge gaps.

My research focused on four main areas. First, a qPCR method was developed to quantify P. medicaginis DNA in soil samples. The efficacy of P. medicaginis DNA soil concentrations at planting to predict PRR levels and yield loss in chickpea across a range of disease conducive environmental conditions was evaluated. Phytophthora medicaginis DNA concentrations at seeding could only predict PRR disease risk accurately for low to moderate disease conducive environmental conditions.

Second, the prevalence and inoculum dynamics of P. medicaginis in chickpea cropping systems was evaluated. Phytophthora medicaginis DNA was detected in soil in over 30% of chickpea fields in regions where PRR disease occurs. Inoculum concentration declines were demonstrated following in-crop epidemics for the PRR very susceptible var. Sonali, in naturally infested stored soil, and in the postharvest period of the field experiment.

Third, I evaluated the variation in P. medicaginis aggressiveness and the effects of the phenotyping system used on host genotype-isolate rankings. Results demonstrated an aggressiveness continuum among P. medicaginis isolates. Comparison of multiple phenotyping systems showed the level of aggressiveness of P. medicaginis isolates was affected by the phenotyping method and that phenotyping methods interact with both isolate and host genotype reactions.

Finally, in-field genotype dependant soil P. medicaginis inoculum concentrations were evaluated for the identification of genotypes with high levels of partial resistance. Recombinant inbred lines (RIL) with high levels of PRR foliage symptoms had higher inoculum concentrations than RIL with low levels of foliage symptoms. Superior RIL with consistently low levels of foliage symptoms provided in-crop P. medicaginis soil inoculum concentrations relative to normalised yield loss across a putative partial resistance-tolerance spectrum

This research identified a number of aspects of P. medicaginis biology relevant to understanding inoculum dynamics, in-field PRR development, isolate aggressiveness and host resistance phenotyping. Using P. medicaginis inoculum concentration to determine PRR disease risk in chickpea only showed promise in low to moderate disease conducive seasons. Monitoring in-field P. medicaginis populations is challenging due to post-epidemic inoculum decline. This means that the most reliable time to detect P. medicaginis inoculum is during chickpea cropping rather than from non-host break crops. To improve P. medicaginis resistance breeding practices aggressive P. medicaginis isolates can be selected alongside root reaction focused phenotyping methods. Genotype dependant soil P. medicaginis inoculum concentrations relative to normalised yield loss provide a useful method of identifying genotypes with high levels of partial resistance. Overall this research has provided outputs that contribute to PRR management through pathogen detection, quantification and resistance breeding methods.

Publication Type: Thesis Doctoral
Fields of Research (FoR) 2020: 300406 Crop and pasture improvement (incl. selection and breeding)
300409 Crop and pasture protection (incl. pests, diseases and weeds)
310805 Plant pathology
Socio-Economic Objective (SEO) 2020: 260399 Grains and seeds not elsewhere classified
HERDC Category Description: T2 Thesis - Doctorate by Research
Description: Please contact rune@une.edu.au if you require access to this thesis for the purpose of research or study.
Appears in Collections:School of Environmental and Rural Science
Thesis Doctoral

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