Issue |
E3S Web Conf.
Volume 175, 2020
XIII International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness – INTERAGROMASH 2020”
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 6 | |
Section | Plant Growing and Cereal Grain | |
DOI | https://doi.org/10.1051/e3sconf/202017501008 | |
Published online | 29 June 2020 |
Identification of rice blast (Pyricularia) resistance genes in the breeding samples of rice
State Scientific Establishment “Agricultural research center “Donskoy”, 3, Nauchny gorodok str., 347740, Zernograd, Rostov region, Russia
* Corresponding author: nvozhzh@gmail.com
The current paper has considered the challenge of breeding of rice lines adapted to the climatic conditions of the Southern Federal District of Russia by pyramiding a complex of Pi-1, Pi-2, Pi-33, Pi-ta and Pi-b rice blast resistance genes which is efficient in the southern part of Russia. The control of the resistance genes present in the breeding material was carried out using a marker-associated selection (MAS). The purpose of the current study was to identify the Pi-1, Pi-2, Pi-33, Pi-ta, and Pi-b rice blast resistance genes in the rice samples developed in the laboratory of rice breeding and seed production of the FSBSI “Agricultural Research Center “Donskoy” to identify valuable genotypes. The screening of 689 breeding samples of rice resulted in identification of the allelic state of the Pi-1, Pi-2, Pi-33, Pi-ta and Pi-b rice blast resistance genes, and the genotypes with functional alleles of these genes and their combinations. There were identified 19 breeding samples of rice possessing a combination of 4 functional alleles of rice blast resistance genes in various combinations. The identified rice samples are valuable genetic material and are recommended to use as the sources of rice blast resistance in the breeding process.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.