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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62490
Title: Phytophthora root rot of chickpea: inoculum concentration and seasonally dependent success for qPCR based predictions of disease and yield loss
Contributor(s): Bithell, Sean Lloyd (creator); Moore, Kevin (supervisor); Herdina (partner investigator); McKay, Alan (partner investigator); Harden, Steve (partner investigator); Simpfendorfer, Steve (partner investigator)
Publication Date: 2021-01-30
Handle Link: https://hdl.handle.net/1959.11/62490
Related Research Outputs: https://hdl.handle.net/1959.11/55628
Abstract/Context: The data covers P. medicaginis detection and inoculum disease relationship experiments in sample and artificially inoculated samples and field experiments, numbers (1 to 6) listed in the publication of chapter.

The dataset spreadsheets are labelled as described below (same experiment numbers as in the publication).

Fig1a spiked sand Exp 1: Experiment 1, Pm concentration series
Soil & moisture set Exp 2: Experiment 2, soil type and moisture content series
2014 YL Exp 3: Experiment 3,field evaluation Tamworth 2014
2015 YL Exp 4: Experiment 4,field evaluation Warwick 2015
2016 YL Exp 5: Experiment 5,field evaluation Warwick 2016
2017 YL Exp 6: Experiment 6,field evaluation Warwick 2017

Data collected 2014 to 2017

Collected to address P. medicaginis artificial inoculum detection and variation in inoculum disease relationships across multiple season questions.
Publication Type: Dataset
Fields of Research (FoR) 2020: 310805 Plant pathology
Socio-Economic Objective (SEO) 2020: 180602 Control of pests, diseases and exotic species in terrestrial environments
HERDC Category Description: X Dataset
Project: Phytophthora root rot of chickpea; effects of genotype, environment, Phytophthora medicaginis variability and alternative hosts
Rights Statement: The data that support the findings of this study are available from New South Wales Department of Primary Industries. Restrictions apply to the availability of these data, which were used under co-ownership with the Grains Research and Development Corporation, Australia for this study. Data are available from the authors at New South Wales Department of Primary Industries with the permission of Grains Research and Development Corporation, Australia.
Primary Contact Details: S.L. Bithell - sean.bithell@dpi.nsw.gov.au
Appears in Collections:Dataset
School of Environmental and Rural Science

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