Physiologic Specialization and Epidemiology of Wheat Stem Rust in East Africa

1972 ◽  
Vol 62 (1) ◽  
pp. 166 ◽  
Author(s):  
D. E. Harder
Keyword(s):  
East Africa ◽  
Stem Rust ◽  
Wheat Stem Rust ◽  
Physiologic Specialization

PHYSIOLOGIC SPECIALIZATION OF WHEAT STEM RUST IN CANADA, 1919 TO 1955

1957 ◽  
Vol 37 (3) ◽  
pp. 275-287 ◽  
Author(s):  
T. Johnson ◽  
G. J. Green
Keyword(s):  
Stem Rust ◽  
Wheat Stem Rust ◽  
Wheat Varieties ◽  
Production Methods ◽  
Physiologic Specialization ◽  
New Varieties ◽  
Group 3 ◽  
Differential Hosts

From 1919 until shortly after 1930 the races of wheat stem rust most prevalent in Canada were: race 21, the race group 3-18-36, and the race group 17–29 which again assumed importance from 1940 to 1948. Race 49 was widely prevalent from 1927 to 1932. Race 56, first found in Canada in 1931, was the predominant race from 1934 to 1949. Race 15B, discovered shortly before 1940 and first found in Canada in 1946, was predominant from 1950 to 1955.The influence of changes in the wheat varieties under cultivation on the rust race population is discussed and it is postulated that a north-to-south movement of rust spores late in the summer plays an important part in the perpetuation of races selectively propagated in northern areas.Recently, biotypes of certain races have become important in relation to varieties now in cultivation and new varieties in the course of production. Methods of identification of such biotypes by means of accessory differential hosts are discussed in relation to the breeding or rust-resistant varieties.A brief account is given of races identified from collections of aecia from barberry.

SOURCES OF RESISTANCE TO WHEAT STEM RUST IN EAST AFRICA

1969 ◽  
Vol 49 (6) ◽  
pp. 649-654 ◽  
Author(s):  
L. E. Evans ◽  
J. W. Martens ◽  
G. J. Green ◽  
E. A. Hurd
Keyword(s):  
East Africa ◽  
Resistance Gene ◽  
Stem Rust ◽  
Gene Pool ◽  
Wheat Cultivars ◽  
Good Resistance ◽  
Sources Of Resistance ◽  
Wheat Stem Rust

The stem rust reactions in the field and greenhouse of 38 wheat cultivars previously selected for resistance in Kenya are presented. A group of these cultivars had good resistance to the main races found in Canada. The cultivars appear to have a diversity of types of resistance, and there is evidence that their resistance results from the action of genes not previously identified. The 38 cultivars constitute a resistance gene pool that should facilitate the breeding of wheat cultivars resistant to stem rust in Kenya.

Retrospective analysis of virulence of the North Caucasian population of wheat stem rust pathogen

2019 ◽  
Vol 1 (81) ◽  
pp. 85-90
Author(s):  
Galina Volkova ◽  
◽  
Olesya Miroshnichenko ◽  
Olga Tarancheva ◽  
◽  
...  
Keyword(s):  
Retrospective Analysis ◽  
Stem Rust ◽  
Caucasian Population ◽  
Wheat Stem Rust ◽  
The North ◽  
Rust Pathogen

scholarly journals Field resistance to wheat stem rust in durum wheat ( Triticum turgidum ssp. durum ) accessions deposited at the USDA National Small Grains Collection

Crop Science ◽  
2021 ◽  
Author(s):  
Pablo D. Olivera ◽  
Worku D. Bulbula ◽  
Ayele Badebo ◽  
Harold E. Bockelman ◽  
Erena A. Edae ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Stem Rust ◽  
Triticum Turgidum ◽  
Field Resistance ◽  
Wheat Stem Rust ◽  
Small Grains

scholarly journals Large-Scale Atmospheric Dispersal Simulations Identify Likely Airborne Incursion Routes of Wheat Stem Rust Into Ethiopia

2017 ◽  
Vol 107 (10) ◽  
pp. 1175-1186 ◽  
Author(s):  
M. Meyer ◽  
L. Burgin ◽  
M. C. Hort ◽  
D. P. Hodson ◽  
C. A. Gilligan
Keyword(s):  
Stem Rust ◽  
Large Scale ◽  
Dispersion Model ◽  
Fungal Spores ◽  
Disease Outbreaks ◽  
Particle Dispersion ◽  
East African ◽  
Wheat Stem Rust ◽  
Sub Saharan ◽  
African Rift

In recent years, severe wheat stem rust epidemics hit Ethiopia, sub-Saharan Africa’s largest wheat-producing country. These were caused by race TKTTF (Digalu race) of the pathogen Puccinia graminis f. sp. tritici, which, in Ethiopia, was first detected at the beginning of August 2012. We use the incursion of this new pathogen race as a case study to determine likely airborne origins of fungal spores on regional and continental scales by means of a Lagrangian particle dispersion model (LPDM). Two different techniques, LPDM simulations forward and backward in time, are compared. The effects of release altitudes in time-backward simulations and P. graminis f. sp. tritici urediniospore viability functions in time-forward simulations are analyzed. Results suggest Yemen as the most likely origin but, also, point to other possible sources in the Middle East and the East African Rift Valley. This is plausible in light of available field surveys and phylogenetic data on TKTTF isolates from Ethiopia and other countries. Independent of the case involving TKTTF, we assess long-term dispersal trends (>10 years) to obtain quantitative estimates of the risk of exotic P. graminis f. sp. tritici spore transport (of any race) into Ethiopia for different ‘what-if’ scenarios of disease outbreaks in potential source countries in different months of the wheat season.

THE INHERITANCE OF PATHOGENICITY IN RACES 111 AND 29 OF WHEAT STEM RUST

1969 ◽  
Vol 11 (2) ◽  
pp. 266-274 ◽  
Author(s):  
K. N. Kao ◽  
D. R. Knott
Keyword(s):  
Stem Rust ◽  
Rust Resistance ◽  
Single Gene ◽  
Stem Rust Resistance ◽  
Wheat Stem Rust ◽  
Complementary Genes

The inheritance of pathogenicity in wheat stem rust was studied in selfed cultures of races 29 and 111, F1 and F2 cultures of a cross between the two races and cultures from a backcross to race 29. The various cultures were tested on Marquis and Prelude and on a series of lines of these varieties carrying single genes for stem rust resistance. Virulence on Sr 5, Sr 6, Sr 8, Sr 9a, Sr 14 and a gene in Marquis was recessive and in each case there was a single gene for virulence corresponding to each gene for resistance. Virulence on Sr 1 was possibly controlled by two dominant complementary genes. There appeared to be two alleles for virulence on Prelude, one dominant and one recessive.

Wheat stem rust leaf disease detection using image processing

2021 ◽  
Author(s):  
Basim Khalid. Mohammed Ali Al-windi ◽  
Amel H. Abbas ◽  
Mohammed Shakir Mahmood
Keyword(s):  
Image Processing ◽  
Stem Rust ◽  
Disease Detection ◽  
Wheat Stem Rust ◽  
Leaf Disease
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