Modelling Salvia sclarea L. yields depending on plants spacing, mineral fertilisers and depth of ploughing in the irrigated conditions of cold Steppe zone

Q3 Economics, Econometrics and Finance
Victor Chaban, P. Lykhovyd, S. Lavrenko
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引用次数: 0

Abstract

Ukraine has favourable natural conditions for the cultivation of medicinal and aromatic plants, but there is a lack of scientific knowledge and practical guidelines for their cultivation. Clary sage is a valuable and prospective crop for the South of Ukraine and deserves special attention. This study is aimed to investigate theoretical mechanisms of clary sage productivity formation on the irrigated lands of the Southern Ukraine. The experimental basis for the study is the data on crop inflorescence yields, collected during field investigation of clary sage cultivation technology in the dripirrigated lands of the Kherson Oblast during 2013-2018. Theoretical study on the yield formation depending on the cultivation technology elements was performed through rank correlation and heteroscedasticity analyses, while the mathematical model for the crop yield prediction was developed using multiple regression. As a result, the null hypothesis about the influence of the factors studied on crop yields was denied according to the Breusch-Pagan and Glejser tests, although the results of the analysis of variances revealed no significant effect of the depth of the plough and the spacing of the crop on the yields. Rank correlation analysis revealed that the highest influence on crop yield is attributed to phosphorus fertilisers. In addition, information on the influence of each agrotechnological factor on the yield of clary sage was determined, namely: 1 kg of nitrogen fertilisers applied per ha reduces the yield by 6.34 kg; 1 kg of phosphorus fertilisers applied per ha increases the yield by 156.44 kg; 1 extra cm of row spacing reduces the yield by 3.33 kg; 1 cm deeper ploughing improves the yield by 56.56 kg. The model has moderate fitting quality (correlation coefficient 0.5885) and reasonably good yield prediction accuracy (mean absolute percentage error 24.12%). The study has no analogues in Ukraine or in the world and provides novel theoretical and practical insights on the formation of clary sage productivity in the cold Steppe zone
在寒冷草原区灌溉条件下,根据植物间距、矿物肥料和耕作深度对鼠尾草产量进行建模
乌克兰拥有种植药用植物和芳香植物的有利自然条件,但缺乏种植药用植物的科学知识和实用指南。克拉里鼠尾草是乌克兰南部一种有价值和前景的作物,值得特别关注。本研究旨在探讨乌克兰南部灌溉土地上clary sage生产力形成的理论机制。本研究的实验基础是2013-2018年在赫尔松州滴灌土地上对clary sage种植技术进行实地调查时收集的作物花序产量数据。通过秩相关和异方差分析,对栽培技术要素对产量形成的影响进行了理论研究,并利用多元回归建立了作物产量预测的数学模型。因此,根据Breusch-Pagan和Glejser检验,关于所研究因素对作物产量影响的零假设被否定,尽管方差分析结果显示犁的深度和作物间距对产量没有显著影响。秩相关分析表明,磷肥对作物产量的影响最大。此外,还确定了每种农业技术因素对鼠尾草产量的影响信息,即:每公顷施用1公斤氮肥可使产量减少6.34公斤;每公顷施用1公斤磷肥可使产量增加156.44公斤;行距增加1厘米可使产量减少3.33公斤;深耕1cm可使产量提高56.56kg。该模型具有中等拟合质量(相关系数0.5885)和相当好的产量预测精度(平均绝对百分比误差24.12%)。该研究在乌克兰或世界上都没有类似的研究,为寒冷草原区clary sage生产力的形成提供了新的理论和实践见解
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来源期刊
Naukovi gorizonti
Naukovi gorizonti Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
1.50
自引率
0.00%
发文量
115
审稿时长
4 weeks
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