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CLASTEROSPORIUM DISEASE (SHOT HOLE) OF APRICOT AND CONTROL MEASURES

Dulabova Matluba Xudoyberdi kizi , 1st-year Master’s student at Tashkent State Agrarian University

Abstract

Apricot (Prunus armeniaca L.) is one of the most valuable fruit crops cultivated worldwide. Clasterosporium disease, commonly known as shot hole, is a major fungal infection affecting apricot trees, causing significant losses in fruit yield and quality. The disease is characterized by small circular lesions on leaves, twigs, and fruits, leading to premature leaf drop and reduced tree vigor. This article presents an overview of the disease, its causative agents, epidemiology, and control strategies, including cultural practices, chemical treatments, and integrated disease management approaches. The research emphasizes the importance of timely intervention and preventive measures to mitigate economic losses.

Keywords

Apricot, Clasterosporium, Shot hole disease, Fungal infection, Disease management, Integrated pest management

References

Ahmed, S., & Khan, M. (2017). Integrated management of apricot diseases. Journal of Fruit Science, 32(2), 45–58.

Jones, P., Smith, R., & Williams, L. (2019). Clasterosporium shot hole in stone fruits: biology and control. Plant Pathology Journal, 68(4), 321–330.

Rakhimov, A., Karimov, B., & Tursunov, S. (2015). Apricot diseases in Uzbekistan and preventive measures. Uzbek Journal of Agriculture, 10(1), 12–21.

Smith, D. (2021). Chemical management of fungal diseases in stone fruits. Agricultural Protection Review, 15(3), 87–101.

Turek, M. (2018). Pruning and sanitation practices for fungal disease control in orchards. International Journal of Horticulture, 24(1), 55–67.

Wang, Y., & Li, H. (2020). Epidemiology of Clasterosporium carpophilum in apricot orchards. Frontiers in Plant Pathology, 11, 120.

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CLASTEROSPORIUM DISEASE (SHOT HOLE) OF APRICOT AND CONTROL MEASURES. (2026). International Journal of Artificial Intelligence, 6(03), 1439-1442. https://www.academicpublishers.org/journals/index.php/ijai/article/view/12031