Experimental process in the reproductive cycle of agribusiness

Автор: Shestakov R.B., Yakovlev N.A.

Журнал: Вестник аграрной науки @vestnikogau

Рубрика: Экономические науки

Статья в выпуске: 4 (97), 2022 года.

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This paper deals with theoretical and practical issues of planning and implementing an experiment in agribusiness. The purpose is to choose the most effective model of the internal reproduction cycle. The experiment was performed in the process of harvesting honey, where identical hives were used, equally spaced into two different fairly remote areas. The production process requires up to five honey collections during the season. The volumes of honey collection from each hive, their time and spatial volatility were studied. An ANOVA method with repeated measurements was used. The statistical significance of the influence of various factors was studied: the number of a specific hive, the number of sites, the serial number of the honey collection. It was found that the greatest significant difference is the productivity of the hives themselves, the time of honey collection affects the dispersion to a lesser extent, and the separation of the hives to different areas practically does not affect the final result. The difference in production in physical terms is important for determining the technological efficiency, which is, in fact, necessary, but not sufficient for economic efficiency. That is, the economic difference is equally important, which in this case can be determined by a significant difference in profitability. Simultaneously, the maintenance of the farms in the two areas is significantly different, which, given almost equal productivity, casts doubt on the decision to separate them. It is recommended to return the hives to the site at a lower cost, and begin studying possible causes of the differences in yield between them.

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Agribusiness, beekeeping, honey harvest, anova, multiple comparisons, experiment repeatability

Короткий адрес: https://sciup.org/147238433

IDR: 147238433   |   DOI: 10.17238/issn2587-666X.2022.4.153

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