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Sources of Resistance to Stem Rust (Ug99) in Bread Wheat and Durum Wheat Identified Using Focused Identification of Germplasm Strategy (FIGS)

December 24, 2011

Dag Terje Filip Endresen, Kenneth Street, Michael Mackay, Abdallah Bari, Ahmed Amri, Eddy De Pauw, Kumarse Nazari, and Amor Yahyaoui (2012). Sources of Resistance to Stem Rust (Ug99) in Bread Wheat and Durum Wheat Identified Using Focused Identification of Germplasm Strategy (FIGS). Crop Science 52(2):764-773. doi: 10.2135/cropsci2011.08.0427; Published online 8 Dec. 2011.

This experiment validates the FIGS approach in a “blind” study where the person conducting the predictive computer modeling did not know the actual trait scores for the test set. We explored a new dataset with measurements of susceptibility to a new strain of stem rust (Puccinia graminis Pers. f.sp. tritici Eriks. & Henn.) typified to race TTKSK and known as Ug99. The screening experiment for Ug99 was made in Yemen in 2008. The total dataset included 4563 landraces of bread wheat (Triticum aestivum L. ssp. aestivum) and durum wheat (Triticum turgidum ssp. durum (Desf.) Husn.). A data modeling training set including 825 landraces was prepared, but the true trait scores of the remaining 3738 landrace accessions was still unknown to the person calibrating the data models. The predictive performance using the FIGS approach was 2.3 times higher than a random sampling of accessions.

Focused Identification of Germplasm Strategy (FIGS) was proposed in the 1990s by Michael Mackay as an approach to identify useful traits in crops and the relatives of the cultivated plants. FIGS is based on finding a link between the eco-climatic attributes for the collecting sites and source locations for germplasm resources and their useful trait properties.

See also:
https://www.crops.org/publications/cs/abstracts/52/2/764
http://dx.doi.org/10.2135/cropsci2011.08.0427
http://www.globalrust.org/traction/permalink/references1631
http://www.mendeley.com/groups/502321/trait-mining-figs/papers/
http://www.slideshare.net/group/trait-mining/slideshows
http://code.google.com/p/trait-mining/

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One Comment leave one →
  1. January 4, 2012 17:53

    Interesting study, put up a link at http://bit.ly/xRIFAh

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