乌拉尔河流域草原和森林草原地区的雨养农业,以及农业技术对水分可用性变化的适应,作为保护地表水资源的一种方式

Y. Gulyanov, A. Chibilev
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引用次数: 0

摘要

的目标。研究的目的是确定冬小麦产量与气象参数的关系,确定动态和当前水平,以及适应性农业技术的选择和科学论证。材料和方法。采用标准的相关分析和回归分析方法,对气象条件与冬小麦总产量进行了回顾性分析。通过时间序列的两两比较,确定了单个阵列数据之间的联系强度,并确定了生产和析因特征的联合变化。揭示了生产特征(粮食总产量)和因子特征(植被期热液条件和作物结构指标)的时间序列具有中、高度密切相关的6个联合变化,以多元回归方程的形式表达。研究结果表明,粮食总产量与收获面积的产量之间存在密切的直接关系(r = 0.79),而收获面积的产量与播种至收获整个时期的活跃气温之和(r = 0.64)呈平均负相关(r = 0.79)。Изосадковразличныхпериодоввегетациипреимущественноепрямоевлияниенаурожайностьзернаоказываютосадкихолодногопериодагода(r = 0.49)ивсегоактивногопериодавегетацииотначалапарованиядоуборки(r = 0.39)。在不同植被期降水中,对粮食产量直接影响最大的是寒期降水(r = 0.49)和休耕至收获的整个植被活跃期降水(r = 0.39)。降水量对某些短时间植被的影响要小得多。在当前条件下,冬小麦籽粒产量的稳定性将取决于农业技术对日益干旱的气候的适应性,这种气候明显恶化了植物的水分供应。
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Rain-fed agriculture in the steppe and forest-steppe zone of the Ural River basin and the adaptation of agricultural technologies to changing moisture availability as a way to preserve surface water resources
Aim. The aim of the research was to determine the relationship of winter wheat grain yields with meteorological parameters, the determination of the dynamics and current level and the selection and scientific justification of adaptive agricultural technologies.Material and Methods. Retrospective analysis was undertaken of meteorological conditions and gross winter wheat harvests by standard methods of correlation and regression analysis. The strength of the connection between the data of individual arrays was determined, as well as the identification of joint variation of productive and factorial features by pairwise comparison of their time series.Results. Six joint variations of time series of productive (gross grain harvest) and factorial features (hydrothermal conditions of vegetation periods and structural indicators of crops) with medium and high closeness of correlation, expressed in the form of multiple regression equations, were revealed.Conclusion. The results of the studies indicate a close direct relationship between gross grain harvest and yield from the harvesting area (r = 0.79), which in turn is inversely dependent (to an average degree) on the sum of the active air temperatures of the entire period from sowing to harvesting (r = 0.64). Из осадков различных периодов вегетации преимущественное прямое влияние на урожайность зерна оказывают осадки холодного периода года (r = 0.49) и всего активного периода вегетации от начала парования до уборки (r = 0.39). Of the precipitation of different periods of vegetation, the predominant direct effect on grain yield is exerted by precipitation during the cold period of the year (r = 0.49) and the entire active period of vegetation from the beginning of fallow to harvest (r = 0.39). The effect of amounts of precipitation for certain short periods of vegetation is much lower. Under current conditions, the stability of winter wheat grain production will be determined by the adaptability of agricultural technologies to the increasing aridity of the climate, which significantly worsens the moisture supply of plants.
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CiteScore
0.80
自引率
50.00%
发文量
73
审稿时长
8 weeks
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