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Article
Genome-wide association mapping for leaf tip necrosis and pseudo-black chaff in relation to durable rust resistance in wheat
(Crop Science Society of America, 2015)
The partial rust resistance genes Lr34 and Sr2 have been used extensively in wheat (Triticum aestivum L.) improvement, as they confer exceptional durability. Interestingly, the resistance of Lr34 is associated with the ...
Article
Identification and validation of single nucleotide polymorphic markers linked to Ug99 stem rust resistance in spring wheat
(Public Library of Science, 2017)
Wheat stem rust (Puccinia graminis f. sp. tritici Eriks. and E. Henn.) is one of the most destructive diseases world-wide. Races belonging to Ug99 (or TTKSK) continue to cause crop losses in East Africa and threaten global ...
Article
Genomic selection for quantitative adult plant stem rust resistance in wheat
(Crop Science Society of America, 2014)
Quantitative adult plant resistance (APR) to stem rust (Puccinia graminis f. sp. tritici) is an important breeding target in wheat (Triticum aestivum L.) and a potential target for genomic selection (GS). To evaluate the ...
A consensus map for Ug99 stem rust resistance loci in wheat
(Springer, 2014)
The global effort to identify new sources of resistance to wheat stem rust, caused by Pucciniagraminis f. sp. tritici race group Ug99 has resulted in numerous studies reporting both qualitative genes and quantitative trait ...
Article
Genetic gain from phenotypic and genomic selection for quantitative resistance to stem rust of wheat
(Crop Science Society of America, 2015)
Stem rust of wheat (Triticum aestivum L.) caused by Puccinia graminis f. sp. tritici Eriks. and E. Henn. is a globally important disease that can cause severe yield loss. Breeding for quantitative stem rust resistance ...
Article
Efficient use of historical data for genomic selection: a case study of stem rust resistance in wheat
(Crop Science Society of America, 2015)
Genomic selection (GS) is a methodology that can improve crop breeding efficiency. To implement GS, a training population (TP) with phenotypic and genotypic data is required to train a statistical model used to predict ...