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Phytophthora root rot of chickpea: inoculum concentration and seasonally dependent success for qPCR based predictions of disease and yield loss

Title: Phytophthora root rot of chickpea: inoculum concentration and seasonally dependent success for qPCR based predictions of disease and yield loss
Contributors: Alan McKay (hasCollector); Herdina (hasCollector); Kevin Moore (hasCollector); L Bithell S (isOwnedBy); Sean Lloyd Bithell (hasCollector); Steve Harden (hasCollector); Steve Simpfendorfer (hasCollector)
Source: University of New England
Publisher Information: University of New England, Australia
Collection: Research Data Australia (Australian National Data Service - ANDS)
Subject Terms: Plant pathology; Plant biology; BIOLOGICAL SCIENCES; Control of pests; diseases and exotic species in terrestrial environments; Terrestrial systems and management; ENVIRONMENTAL MANAGEMENT
Description: 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.
Document Type: dataset
Language: unknown
Relation: une:1959.11/62490; https://hdl.handle.net/1959.11/62490
Availability: https://researchdata.edu.au/phytophthora-root-rot-yield-loss/3388827; https://hdl.handle.net/1959.11/62490
Accession Number: edsbas.E9EBE1EB
Database: BASE