Articles | Open Access |

SCIENTIFIC AND PRACTICAL BASIS FOR PREPARING AN EXPERIMENTAL AREA FOR THE SELECTION AND GENETIC EVALUATION OF CITRUS MANDARIN (CITRUS RETICULATA BLANCO) HYBRIDS UNDER PROTECTED CULTIVATION CONDITIONS

Kholiqova Kamola Shukurullo qizi , PhD doctoral student, Tashkent State Agrarian University

Abstract

This article discusses the scientific and practical basis for preparing an experimental area for the selection and genetic evaluation of citrus mandarin (Citrus reticulata Blanco) hybrids under protected cultivation conditions. The study analyzes the sanitary cleaning of the greenhouse area, preparation of a nutrient-rich substrate, establishment of a drainage layer, inspection of the drip irrigation system, and control of temperature, humidity, ventilation, and lighting conditions. The uniformity of experimental conditions is substantiated as a key requirement for the objective evaluation of the genetic potential of genotypes and the selection of promising initial breeding materials.

Keywords

citrus, mandarin, Citrus reticulata, hybrid, genotype, selection, inheritance, variability, protected cultivation, substrate, microclimate, drip irrigation.

References

USDA FAS. Citrus: World Markets and Trade. January 2026.

Data of the National Statistics Committee of the Republic of Uzbekistan: Mandarin imports, 2025.

Wu G.A. et al. Diversification of mandarin citrus by hybrid speciation and apomixis. Nature Communications, 2021.

Luro F. et al. SSR markers and essential oils diversity of mandarins (Citrus reticulata Blanco). Horticulturae, 2023.

Samarina L.S. et al. Genetic diversity of citrus germplasm using SSR and organelle DNA markers. Scientia Horticulturae, 2021.

Reuther W., Webber H.J., Batchelor L.D. The Citrus Industry. University of California Press.

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SCIENTIFIC AND PRACTICAL BASIS FOR PREPARING AN EXPERIMENTAL AREA FOR THE SELECTION AND GENETIC EVALUATION OF CITRUS MANDARIN (CITRUS RETICULATA BLANCO) HYBRIDS UNDER PROTECTED CULTIVATION CONDITIONS. (2026). International Journal of Artificial Intelligence, 6(5), 593-595. https://www.academicpublishers.org/journals/index.php/ijai/article/view/13202