Modeling Safflower Seed Productivity in Dependence on Cultivation Technology by the Means of Multiple Linear Regression Model

• Autorzy: Vozhehova Raisa , Fedorchuk Mykhailo , Kokovikhin Serhii , Lykhovyd Pavlo , Nesterchuk Vasyl , Mrynskii Ivan , Markovska Olena

Identyfikatory

DOI

10.12911/22998993/102608

• Języki publikacji: EN

Abstrakty

EN

The results of the study devoted to the evaluation of reliability of the multiple linear regression model for safflower seed yields prediction were presented. Regression model reliability was assessed by the direct comparison of the modeled yields values with the true ones, which were obtained in the field trials with safflower during 2010-2012. The trials were dedicated to study of the effect of various cultivation technology treatments on the safflower seed productivity at the irrigated lands of the South of Ukraine. The agrotechnological factors, which were investigated in the experiments, include: A – soil tillage: A1 – disking at the depth of 14–16 cm; A2 – plowing at the depth of 20–22 cm; B – time of sowing: B1 – 3^rd decade of March; B2 – 2^nd decade of April; B3 – 3^rd decade of April; C – inter-row spacing: C1 – 30 cm; C2- 45 cm; C3 – 60 cm; D – mineral fertilizers dose: D1 – N₀P₀; D2 – N₃₀P₃₀; D3 – N₆₀P₆₀; D4 – N₉₀P₉₀. Regression analysis allowed us to create a model of the crop productivity, which looks as follows: Y = –1.3639 + 0.0213Х₁ + 0.0017Х₂ – 0.0121Х₃ + 0.0045Х₄, where: Y is safflower seed yields, t ha^-1; Х₁ – soil tillage depth, cm; Х₂ – sum of the positive temperatures above 10°С; Х₃ – inter-row spacing, cm; Х₄ – mineral fertilizers dose, kg ha^-1. A direct comparison of the modeled safflower seed yield values with the true ones showed a very slight inaccuracy of the developed model. The maximum amplitude of the residuals averaged to 0.27 t ha^-1. Therefore, we conclude that multiple linear regression analysis can be successfully used in purposes of agricultural modeling.

Słowa kluczowe

EN

cultivation technology; prediction; statistical analysis; yields

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2019
• Tom: Vol. 20, nr 4
• Strony: 8--13
• Opis fizyczny: Bibliogr. 13 poz., tab.

Twórcy

autor

Vozhehova Raisa

• Institute of Irrigated Agriculture, Naddniprianske, 73483, Kherson, Ukraine

autor

Fedorchuk Mykhailo

• Mykolaiv National Agrarian University, Heorhiia Honhadze 9 Street, 54000, Mykolaiv, Ukraine

autor

Kokovikhin Serhii

• Institute of Irrigated Agriculture, Naddniprianske, 73483, Kherson, Ukraine

autor

Lykhovyd Pavlo

• Institute of Irrigated Agriculture, Naddniprianske, 73483, Kherson, Ukraine

autor

Nesterchuk Vasyl

• Institute of Irrigated Agriculture, Naddniprianske, 73483, Kherson, Ukraine

autor

Mrynskii Ivan

• Kherson State Agrarian University, Stritenska 23 Street, 73006, Kherson, Ukraine

autor

Markovska Olena

• Kherson State Agrarian University, Stritenska 23 Street, 73006, Kherson, Ukraine

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).