Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals

The purpose of the research is to study the influence of hydrothermal conditions of vegetation of 2011-2022 on the yield of spring barley of the Rodnik Prikamya variety in the conditions of the Middle Trans-Urals. Barley was cultivated in a traditional field grain-grassfallow seven-field crop rotati...

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Main Authors: D. S. Fomin, N. N. Yarkova, S. S. Polyakova
Format: Article
Language:Russian
Published: Federal Agricultural Research Center of the North-East named N.V. Rudnitsky 2022-12-01
Series:Аграрная наука Евро-Северо-Востока
Subjects:
Online Access:https://www.agronauka-sv.ru/jour/article/view/1181
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author D. S. Fomin
N. N. Yarkova
S. S. Polyakova
author_facet D. S. Fomin
N. N. Yarkova
S. S. Polyakova
author_sort D. S. Fomin
collection DOAJ
description The purpose of the research is to study the influence of hydrothermal conditions of vegetation of 2011-2022 on the yield of spring barley of the Rodnik Prikamya variety in the conditions of the Middle Trans-Urals. Barley was cultivated in a traditional field grain-grassfallow seven-field crop rotation against two backgrounds of mineral nutrition (without fertilizers, N60P30K60). In the conditions of a long stationary experiment, the influence of indicators of moisture and heat supply of vegetation periods (air temperature, precipitation amount, G. T. Selyaninov hydrothermal coefficient) and mineral fertilizers on barley yield was analyzed. The analysis proves the reliability of the relationship, and the regression equations for the curvilinear dependence make it possible to predict the yield of spring barley for both backgrounds of mineral nutrition in typical soil and climatic conditions for the Middle Trans-Urals. For the variant with the introduction of mineral nutrition, with a prediction accuracy of 84.56 %: Y = -1.22163X2 + 0.69X + 4.01388626, where Y is the predicted yield, t/ha, X is the hydrothermal coefficient of May. For the variant without mineral fertilizers: Y = -0.080X2 + 0.5844X + 2.5506, where Y is the predicted yield, t/ha, X is the hydrothermal coefficient of June. The accuracy of forecasting the yield of spring barley by the hydrothermal coefficient of June is 77.89 %.
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spelling doaj.art-b0f85f4ff879407ab2973a7b9b1cd0242024-02-29T11:31:14ZrusFederal Agricultural Research Center of the North-East named N.V. RudnitskyАграрная наука Евро-Северо-Востока2072-90812500-13962022-12-0123685285910.30766/2072-9081.2022.23.6.852-859620Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-UralsD. S. Fomin0N. N. Yarkova1S. S. Polyakova2Perm Research Institute of Agriculture, Perm Federal Research Center of the Ural Branch of the Russian Academy of SciencesPerm State Agro-Technological UniversityPerm Research Institute of Agriculture, Perm Federal Research Center of the Ural Branch of the Russian Academy of Sciences; Perm State Agro-Technological UniversityThe purpose of the research is to study the influence of hydrothermal conditions of vegetation of 2011-2022 on the yield of spring barley of the Rodnik Prikamya variety in the conditions of the Middle Trans-Urals. Barley was cultivated in a traditional field grain-grassfallow seven-field crop rotation against two backgrounds of mineral nutrition (without fertilizers, N60P30K60). In the conditions of a long stationary experiment, the influence of indicators of moisture and heat supply of vegetation periods (air temperature, precipitation amount, G. T. Selyaninov hydrothermal coefficient) and mineral fertilizers on barley yield was analyzed. The analysis proves the reliability of the relationship, and the regression equations for the curvilinear dependence make it possible to predict the yield of spring barley for both backgrounds of mineral nutrition in typical soil and climatic conditions for the Middle Trans-Urals. For the variant with the introduction of mineral nutrition, with a prediction accuracy of 84.56 %: Y = -1.22163X2 + 0.69X + 4.01388626, where Y is the predicted yield, t/ha, X is the hydrothermal coefficient of May. For the variant without mineral fertilizers: Y = -0.080X2 + 0.5844X + 2.5506, where Y is the predicted yield, t/ha, X is the hydrothermal coefficient of June. The accuracy of forecasting the yield of spring barley by the hydrothermal coefficient of June is 77.89 %.https://www.agronauka-sv.ru/jour/article/view/1181rodnik prikamjya varietymineral fertilizersweather and climatic conditionscorrelation
spellingShingle D. S. Fomin
N. N. Yarkova
S. S. Polyakova
Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals
Аграрная наука Евро-Северо-Востока
rodnik prikamjya variety
mineral fertilizers
weather and climatic conditions
correlation
title Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals
title_full Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals
title_fullStr Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals
title_full_unstemmed Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals
title_short Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals
title_sort yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the middle trans urals
topic rodnik prikamjya variety
mineral fertilizers
weather and climatic conditions
correlation
url https://www.agronauka-sv.ru/jour/article/view/1181
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AT sspolyakova yieldofspringbarleydependingonthehydrothermalconditionsofvegetationintheconditionsofthemiddletransurals