| Issue |
BIO Web Conf.
Volume 36, 2021
International Scientific and Practical Conference “Fundamental Scientific Research and Their Applied Aspects in Biotechnology and Agriculture” (FSRAABA 2021)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 7 | |
| Section | Genetic Resources and Crop Breeding | |
| DOI | https://doi.org/10.1051/bioconf/20213601007 | |
| Published online | 01 October 2021 | |
Selection of high-yielding pea varieties in the conditions of the Cis-Ural steppe zone of the Bashkortostan Republic
1 Ufa Federal Research Center of the Russian Academy of Sciences, Bashkir Research Institute of Agriculture, Ufa, Russia
2 The Institute of Biochemistry and Genetics - a separate structural unit of the Ufa Federal Research Center of the Russian Academy of Sciences, Ufa, Russia
* Corresponding author: sci_secr_bniish@bk.ru
Peas have become the most important leguminous crop worldwide. Large areas in Russia are used for pea growing. Unfavourable weather and climatic conditions often lead to a significant yield decline. There is an urgent need to develop new high-yielding varieties adapted to local conditions. The current paper presents the results of long-term breeding of modern pea cultivars Chishminsky 229, Pamiati Hangildina, Pamiati Popova, meeting the requirements of agricultural production. The research was conducted in the Bashkir Agricultural Research Institute. The varieties were bred by repeated single selection based on intervariety hybridization. Chishminsky 229 and Pamiati Hangildina cultivars are included in the State Register of Breeding Achievements. Pamiati Popova is currently undergoing state variety testing. According to the comparative testing in 2016-2020, the excess yield compared to Chishminsky 95 standard variety was 2.1 c/ha for Chishminsky 229 variety, 1.9 c/ha for Pamiati Hangildina cultivar, and 3.2 c/ha for Pamiati Popova cultivar.
© The Authors, published by EDP Sciences, 2021
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.
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