May 20, 2013: Bhutan 2013 Rust Surveys – Rust incidence lower than 2012, leaf rust widespread but yellow rust localized

Rust surveys were coordinated and undertaken by the National Plant Protection Centre, Department of¬†Agriculture, Ministry of Agriculture and Forest, Semtokha, Thimpu, Bhutan in collaboration with the Durable Rust Resistance in Wheat (DRRW) project during the period 25th April – 3rd … Continue reading

Bhutan Yellow Rust Risk Maps

These maps were created using all years of survey data (2012). They illustrate hot-spots of disease severity. The following two approaches were taken to create the maps: Map 1. Geo-statistical Hot-spots:The Getis-Ord Gi* statistic was calculated on the survey data … Continue reading

Bhutan Virulence Graph

The Virulence by Country tool, developed by the University of Aarhus Denmark, displays the frequency of virulence to specific combinations of Sr genes in analysed samples over time for a selected country. Selection of any Ug99 lineage race or specific … Continue reading

Bhutan Survey Mapper

The Country Survey Mapper tool, developed by the University of Aarhus Denmark, displays rust field survey data. Selection of any specific combination of year and disease is possible. Any new data incorporated into the underlying database will automatically be displayed … Continue reading

Bhutan Stem Rust Pathotypes

Data Source: DWR Regional Station, Flowerdale, Shimla, HP, India Predominant Pathotype(s): PKTSC (58G13-3,40-2) Effective Sr Genes: Sr21, Sr11, SrTmp, Sr24, Sr31, Sr38 Ineffective Sr Genes: Sr5, Sr9e, Sr7b, Sr6, Sr8a, Sr9g, Sr36, Sr9b, Sr30, Sr17, Sr9a, Sr9d, Sr10, SrMcN … Continue reading

Bhutan Stem Rust Risk Maps

These maps were created using all years of survey data (2012). They illustrate hot-spots of disease severity. The following two approaches were taken to create the maps: Map 1. Geo-statistical Hot-spots:The Getis-Ord Gi* statistic was calculated on the survey data … Continue reading

Bhutan Pathotype Frequency Graph

This pathotype information tool, developed by the University of Aarhus Denmark, displays the frequency of Ug99 lineage pathotypes in analysed samples. Selection of any specific combination of country(s) or year(s) is possible. Any new data incorporated into the underlying database … Continue reading