An Investigation of Effective Management Strategies on Controlling and Reducing Late Freezing Rates in Spring Fruit Gardens of Meshgin Shahr County - Ardabil Province

Delghavi Giglo, Matanat (2018) An Investigation of Effective Management Strategies on Controlling and Reducing Late Freezing Rates in Spring Fruit Gardens of Meshgin Shahr County - Ardabil Province. Masters thesis, University of Mohaghegh Ardabili.

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Text (بررسی راهکار¬های مدیریتی موثر بر کنترل و کاهش میزان سرمازدگی دیررس بهاره در باغات شهرستان مشگین شهر- استان اردبیل) Matanat delghavi giglo.pdf Download (536kB) | Preview

Abstract

Mesghinehshahr city, due to its location in the mountainous region and the presence of cold climate, often witness late spring frostbite to garden products. Therefore, the purpose of this study was to investigate effective management strategies for controlling and reduce late spring frostbite in apple orchards in Mesghinehshahr, Ardebil province. The data of this research were completed by completing 146 questionnaires from the villages of Anar, Jabdrq and Ghassabe for the crop year of 2016-2017. This research was based on different areas of research and different management groups regarding late spring frost control. In comparing different research areas, varietal history of gardening, yield, income and profit, total garden area, and proper and timely use of chemical fertilizers, organic fertilizers and pesticides have been distinctive. Generally, pomegranate village has a socio-economic, structural variables And technical performance has been effective in late spring frost control over other areas. Compared to the research groups, variables such as age, garden area and number of fragments were distinct, and the management group generally managed to manage late spring frostbite. The results of logistic regression analysis in the research groups showed that pest and disease control indexes, allocation of antitrust equipment in the garden and allocating a warning device in the garden were able to explain 58% of changes in dependent variance of late spring frost management. The model obtained in this analysis correctly segregates 86% of the indicators. Also, the results of diagnostic analysis in different areas of the research showed that the indicators of how to provide capital, allocating antitrust equipment in the garden, allocating the warning device in the garden and controlling the garden floor, were able to explain 95.7% of the variations of the dependent variable of the research. They do. In general, according to the above results, it is possible that horticulturists have investigated areas that are under control for late spring frostbite management. Also, EXCEL and SPSS software was used for this research.

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