Distribution of ramularia across the Australian grain belt
Document Type
Collection
Publication Title
Distribution of ramularia across the Australian grain belt
Abstract
Survey data from 2019 and 2020 on the Australian incidence of Ramularia collo-cygni, causal agent of ramularia leaf spot in barley, determined from molecular testing of leaf and grain samples.
Publication Date
2023
Keywords
Ramularia collo-cygni, ramularia leaf spot, barley, survey, Australia, incidence, leaf, seed, endophyte, 300409 Crop and pasture protection (incl. pests, diseases and weeds), 310805 Plant pathology
Disciplines
Agriculture
Recommended Citation
Hills, A,
Thomas, G,
Jayasena, K,
Poole, N,
McLean, M,
Garrard, T,
Giblot-Ducray, D,
Daly, A,
Dann, A,
Lupez-Ruiz, F,
Zhou, M,
Beard, C,
Wallwork, H,
Bradley, J,
Snyman, L,
Begum, F,
Covarelli, L,
Moslemi, A,
and
Cuddy, W.
(2023), Distribution of ramularia across the Australian grain belt. Department of Primary Industries and Regional Development, Western Australia, Perth. Collection.
https://library.dpird.wa.gov.au/ba_grdc_ds/28
dc:access
Conditional
Funder
GRDC
Grant
DAW1909-003RTX
ROR of Contributing Organisation
flash_audio
GRDC Project Code
DAW1909-003RTX
GRDC Project Title
Distribution of ramularia across the Australian grain belt
ORCID of each Author
0009-0004-3336-5644
0000-0002-2437-5988
0000-0002-9157-5760
Spatial Coverage
Barley growing regions of Australia
Observations Start Date
2019
Observations End Date
2022
Comments
Collection includes data from field survey conducted in Western Australia from 2019 to 2022 as part of the “Distribution of ramularia across the Australian grain belt " (DAW1909-003RTX). Including leaf and seed survey of Australian barley crops and field trials with associated location data (either paddock or nearest town) and testing result for Ramularia collo-cygni based on PCR methodology. Surveys conducted across all Australian barley growing states in 2019 and 2020 with an emphasis on WA. Leaf samples collected in spring, post anthesis based on suspected visual symptoms (if present) or randomly (if no symptoms observed) of flag -1 leaves. Seed collection was random. Data is classified according to collection year, state, GPS coordinates, rainfall region, collector (organisation and individual), whether paddock or trial (where known), variety (where known) and supplementary tests (if any).