Effective leaf rust resistance genes of wheat in Novosibirsk Province in connection with the variability of the <i>Puccinia triticina</i> population

Background. Information on the races of Puccinia triticina Erikss. in Novosibirsk Province is needed to identify sources effective genes for leaf rust resistance. The goal hereof was monitoring genetic variability P. population Ob riverside forest-steppe, Province, and detecting resistance develop wheat cultivars resistant disease. Materials methods. In 2015–2019, affliction Thatcher lines (Tc) under disease pressure assessed, structure forest-steppe monitored. genotypes were identified using Long–Kolmer system. Additionally, a set with Lr19, Lr20, Lr28, Lr39; 6 – Lr6Agi2, Lr6Agi1, LrKu, andLrSp2 employed. Results. A high frequency virulence detected Lr3ka, Lr10, Lr1, Lr2a, Lr2c, Lr3a, Lr11, Lr18, Lr30, Lr16, Lr17, LrB (66.7–100 %). consisted 27 races, including 12 common ones: TGTT GB, TGTR TQTT TQTR TGPT THFR KHTT PHKT PQTT THTP BB, PGFR SGPR GB. Genotypes Lr39, Lr42, Lr12, Lr24, Lr25, Lr35, Lr45, Lr47, Lr50, Lr52, LrSp2, Lr6Agi1+Lr19, Lr6Agi2+Lr10+Lr34, Lr11+Lr13+Lr22a, Lr13+LrTb, Lr24+Lr26, Lr37+Lr13, Lr37+Lr1, Lr34+Lr13, Lr43+Lr24, Lr49+Lr34 infection pressure. Some varied across years (0–5 % TcLr29 TcLr21, 0–10 CSP 44 TcLr44, 0–20 TcLr13, 1–30 TcLr37, 15–80 Pavon F 76). Conclusion. local has changed slightly over study (the Lr18 Lr38 have lost resistance), very different from before 2010.