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The relationship between incidence of infection by the take-all fungus (Gaeumannomyces graminis var. tritici), rainfall and yield of wheat in South Australia

DK Roget and AD Rovira
31(4) pp.509 - 513


18 articles found in Crossref database.

Predicting Take-All Severity in Second-Year Wheat Using Soil DNA Concentrations ofGaeumannomyces graminisvar.triticiDetermined with qPCR
Bithell Sean L., McKay Alan, Butler Ruth C., Herdina , Ophel-Keller Kathy, Hartley Diana, Cromey Matthew G.
Plant Disease. 2012 96(3). p.443
Control of take-all in soft white spring wheat with seed and soil treatments
Conner R.L., Clapperton M.J., Kuzyk A.D.
Canadian Journal of Plant Pathology. 2000 22(2). p.91
Predicting Cereal Root Disease in Western Australia Using Soil DNA and Environmental Parameters
Poole Grant J., Harries Martin, Hüberli D., Miyan S., MacLeod W. J., Lawes Roger, McKay A.
Phytopathology®. 2015 105(8). p.1069
Current Status of Cereal Root Diseases in Western Australia Under Intensive Cereal Production and Their Comparison with the Historical Survey Conducted During 1976–1982
Khangura Ravjit K., MacNish Gordon C., MacLeod William J., Vanstone Vivien A., Hanbury Colin D., Loughman Robert, Speijers Jane E.
Journal of Phytopathology. 2013 161(11-12). p.828
Evaluating the contribution of take-all control to the break-crop effect in wheat
Lawes R. A., Gupta V. V. S. R., Kirkegaard J. A., Roget D. K.
Crop and Pasture Science. 2013 64(6). p.563
Changes in post-harvest levels ofGaeumannomyces graminisvar.triticiinoculum in wheat fields
Bithell S. L., Mclachlan A. R. G., Hide C. C. L., Mckay A., Cromey M. G.
Australasian Plant Pathology. 2009 38(3). p.277
Comparison of canola, Indian mustard and Linola in two contrasting environments. II. Break-crop and nitrogen effects on subsequent wheat crops
Kirkegaard J.A., Hocking P.J., Angus J.F., Howe G.N., Gardner P.A.
Field Crops Research. 1997 52(1-2). p.179
Ability of the lumbricid earthworms Aporrectodea rosea and Aporrectodea trapezoides to reduce the severity of take-all under greenhouse and field conditions
Stephens P.M., Davoren C.W., Doube B.M., Ryder M.H.
Soil Biology and Biochemistry. 1994 26(10). p.1291
Break crops and rotations for wheat
Angus J. F., Kirkegaard J. A., Hunt J. R., Ryan M. H., Ohlander L., Peoples M. B.
Crop and Pasture Science. 2015 66(6). p.523
Factors impacting the activity of 2,4-diacetylphloroglucinol-producing Pseudomonas fluorescens against take-all of wheat
Kwak Youn-Sig, Bonsall Robert F., Okubara Patricia A., Paulitz Timothy C., Thomashow Linda S., Weller David M.
Soil Biology and Biochemistry. 2012 54 p.48
Microbial Biotechnology in Crop Protection (2021)
Durán Paola, de la Luz Mora María
The Land Use Sequence Optimiser (LUSO): A theoretical framework for analysing crop sequences in response to nitrogen, disease and weed populations
Lawes Roger, Renton Michael
Crop and Pasture Science. 2010 61(10). p.835
Diagnosis and Identification of Plant Pathogens (1997)
Herdina , Ophel-Keller K., Roget D., Harvey P.
Biological Resource Management Connecting Science and Policy (2000)
Ryder M. H., Herdina , Juhasz A. L., Harvey P. R., Ross I. L., Ophel-Keller K. M., Roget D. K.
Development of a routine DNA-based testing service for soilborne diseases in Australia
Ophel-Keller Kathy, McKay Alan, Hartley Di, Herdina ., Curran John
Australasian Plant Pathology. 2008 37(3). p.243
Rainfall and its distribution influences on rain-fed saffron yield and economic analysis
Dastranj Maryam, Sepaskhah Ali Reza, Kamgar-Haghighi Ali Akbar
Theoretical and Applied Climatology. 2019 137(3-4). p.3139
Magnitude and mechanisms of persistent crop sequence effects on wheat
Kirkegaard John A., Ryan Megan H.
Field Crops Research. 2014 164 p.154

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