Image-Based Wheat Fungi Diseases Identification by Deep Learning.

Diseases of cereals caused by pathogenic fungi can significantly reduce crop yields. Many cultures are exposed to them. The disease is difficult to control on a large scale; thus, one of the relevant approaches is the crop field monitoring, which helps to identify the disease at an early stage and take measures to prevent its spread.

Race Characterization and Molecular Genotyping of Populations from Durum Wheat in Russia.

Variability of the Russian population of from durum wheat was studied with virulence and simple sequence repeat (SSR) markers. The pathogen was sampled during 2017 to 2019 in all regions with sizable durum wheat () growing areas from winter (North Caucasus) and spring (Middle Volga, Ural, and West Siberia) wheat. A total of 474 isolates were tested on a set of 20 -gene lines.