Application of statistical methods in the analysis of sweet pepper yield

Authors

  • Elena Georgievna Myagkova Federal state budgetary scientific institution “Caspian Agricultural Federal Scientific Center of the Russian Academy of Sciences”

DOI:

https://doi.org/10.28983/asj.y2020i10pp50-55

Keywords:

sweet pepper, yield, correlation analysis, regression analysis, crop structure

Abstract

The results of studying sweet pepper hybrids in the soil and climate conditions of the Astrakhan region are presented. Studies were conducted in 2017-2019. sweet pepper was cultivated on light chestnut soils, in the mode of drip irrigation, using technology adapted to the climatic conditions of the zone of cultivation of the crop. The objects of research were sweet pepper hybrids of the agricultural firm "Sedek" and elements of the crop structure of these hybrids. The purpose of the study was to determine sweet pepper hybrids with high yield potential. The purpose of the study was to analyze the structure of the crop and identify the elements of the structure that had the greatest impact on productivity. The strength of the elements ' influence and its direction were determined by statistical methods, in particular, correlation analysis was applied. As a result of correlation analysis, elements (variables X) were determined to the greatest extent that affect the yield of sweet pepper. At the stage of regression analysis, these variables were included in the regression model. Using regression analysis, an equation (mathematical formula) was derived that explains how the yield of sweet peppers will change quantitatively depending on changes in variables. According to the results of data processing using statistical methods, the elements of the structure of the sweet pepper crop that had the greatest impact on productivity were determined: the mass of one fruit, g and the thickness of the fruit wall.

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Author Biography

Elena Georgievna Myagkova, Federal state budgetary scientific institution “Caspian Agricultural Federal Scientific Center of the Russian Academy of Sciences”

Researcher

References

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Published

2020-10-27

Issue

Section

Agronomy

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