Results 241 to 250 of about 417,548 (297)
Exploring standing genetic variation for barley leaf rust resistance in Australian breeding panel. [PDF]
Theor Appl GenetPandit M +13 more
europepmc +1 more source
An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction. [PDF]
Sci RepEl-Behery H, Attia AF, Rezk NG.
europepmc +1 more source
Current Status and Future Direction of the High-Temperature Resistance in Wheat to Control Stripe Rust. [PDF]
Mol Plant PatholLyu X +9 more
europepmc +1 more source
Mathematical modeling and analysis for the transmission dynamics of wheat yellow rust disease. [PDF]
Sci RepFantaye AK, Dawed MY, Mekonen KG.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Tuberculina: rust relatives attack rusts
Mycologia, 2004Molecular sequence data together with ultrastructural features were used to infer the phylogenetic position of Tuberculina species. Additional ultrastructural characteristics were used to determine their mode of nutrition. We investigated ultrastructural morphology of the type species Tuberculina persicina and determined base sequences from the D1/ D2 ...
Matthias, Lutz +4 more
openaire +2 more sources
CrabSandwich: Fuzzing Rust with Rust (Registered Report)
Proceedings of the 2nd International Fuzzing Workshop, 2023The rust programming language is one of the fastest-growing programming languages, thanks to its unique blend of high performance execution and memory safety. Still, programs implemented in rust can contain critical bugs. Apart from logic bugs and crashes, code in unsafe blocks can still trigger memory corruptions.
Crump, Addison +6 more
openaire +1 more source