Influence of Varietal Characteristics and Planting Schemes of Remontant Raspberries on their Productivity
- 1 Horticulture, Plant Protection and Quarantine, Kazakh National Agrarian Research University, Almaty, Kazakhstan
- 2 Fruit Research Institute, Egirdir, Turkey
Abstract
The red raspberry (Rubus idaeus L.) is a member of the Rosaceae family. The production of raspberries has increased rapidly worldwide. In recent years, about 300 ha of remontant raspberry varieties have been planted in the Almaty region, Kazakhstan. These varieties are technologically easier to grow compared to traditional varieties because they bear fruit on annual shoots and do not require protective measures against winter damage or the installation of expensive trellis. Statistical methods can be used to quantify the impact of various factors on biometric indicators. The research aimed to evaluate the influence of the factors of variety and planting scheme of remontant raspberries on the biometric indicators of leaves and productivity. Observations were conducted in 2020 in the Aidarbayev peasant farm, Enbekshikazak district, Saymasay village, Almaty region, Kazakhstan. The Bryanskoe divo variety was found to be more productive with 40.8 t/ha, while the Polka variety showed more than twice as low yields (15.6 t/ha), due to higher numbers of laterals, the number and weight of berries and the number of leaves and a high leaf area index. The planting scheme of remontant raspberries (2.8×0.4 m) led to the highest yield (54.4 t/ha) due to a higher number of laterals per shoot, the number of berries per shoot and running m and the productivity of 1 shoot per running m as compared to the sparser planting scheme of (2.8×0.15) ×0.4 m, the productivity of which is more than two times lower at 24.6 t/ha. Thus, the variety of Bryanskoe divo cultivated at a lesser density, when compared to Polka and to a higher density planting scheme, displays better results in terms of biometric indicators, productivity, and yield.
DOI: https://doi.org/10.3844/ojbsci.2024.170.177
Copyright: © 2024 Lyazzat Zhailibayeva, Sergey Oleichenko, Yerlan Dutbayev, Maira Yessenaliyeva, Roza Mazhitova and Ismail Demirtas. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Red Raspberry
- Biometric Indicators
- Planting Scheme
- Varietal Characteristics
- Statistical Methods