BIO Web Conf.
Volume 34, 2021International Scientific Conference “Biologization of the Intensification Processes in Horticulture and Viticulture” (BIOLOGIZATION 2021)
|Number of page(s)||6|
|Section||Management of Genetic Resources and the Breeding Process of Creating Garden Crops and Grapes Based on Genotyping Methods, Precision Phenotyping, Bioinformatic and Digital Technologies|
|Published online||10 September 2021|
Analysis of promising walnut forms for resistance to return frost
Federal State Budget Scientific Institution «North Caucasian Federal Scientific Center of Horticulture, Viticulture, Wine-making», str. 40 Let Pobedy, 39, Krasnodar, 350901, Russia
* Corresponding author: Larisa.Artyuhowa@yandex.ru
In the conditions of the central zone of the North Caucasian region of Russia, in recent years, a tendency has been noted to increase the negative impact of low-temperature stressors of the winter and spring periods on walnut plants (Juglans regia L). The purpose of the study is to identify the most valuable genotypes for creating walnut varieties with increased resistance to cold stress, promising for cultivation in the south of Russia. Modern programs and methods of breeding and variety study were used. The results of a long-term study (2019-2021) of collection samples of walnuts growing in the conditions of the central zone of the North Caucasus region are presented. Highlighted hybrid forms of walnut with an early start of the growing season: 17-2-41, 17-3-44, 17-2-35, 17-2-26 (from hybrid families Ideal f. p., I -Yu-50 f. p.); and especially valuable for breeding and production genotypes with a late start of the growing season: 17-3-48, 17-3-16, 17-3-22, 17-3-19 (Dachny f. p., Ya-B-84 f. p.). It has been established that all hybrid seedlings from families (Ideal f. p., Ya-Yu-50 f. p., Ya-Yu-40 f. p., Dachny f. p.) of walnut are moderately resistant to returnable spring Frost.
© 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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