大豆收获结构要素的形成

L. Harbar, N. Dovbash, N. Knap, Y. O. Tkachenko
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引用次数: 0

摘要

时事性。各生产力结构要素的定量指标直接影响高产的形成。该地区的土壤和气候条件以及栽培技术的某些要素,特别是肥料的施用,是大豆生产力形成的决定因素。目的。探讨接种和营养条件对超早熟品种麦库尔大豆产量结构要素形成的影响。方法。在研究中采用了特殊的和一般的科学方法。2019-2020年,在基辅地区的条件下,对典型的低腐殖质黑钙土进行了田间试验。试验采用双因子:因子A -在ВВСН 13-15矿物施肥背景下,不同施肥量和生长调节剂Gulliver Stymul所产生的营养条件;ВВСН51-55;因子B -用硝基固氮剂P(大豆干接种剂)接种种子。结果。根据研究结果,提出了营养条件、生长调节剂、种子接种对默克品种大豆产量结构要素形成的影响效果,并确定了这些因素之间的相互关系。结果表明,大豆生产力要素的形成取决于所研究的因素和环境因素。结论。施肥量的增加显著提高了单株荚果数和每荚种子数。在接种了硝基固氮磷和未接种硝基固氮磷的变异中,均观察到千粒重增加的动态变化。大豆产量结构要素与肥料变异的相关分析表明,两者之间存在较强的正相关关系。相关回归分析结果显示,在不接种种子和接种种子的情况下,大豆产量与肥料品种之间存在较强的线性相关性,近似置信值R2 = 0.951。关键词:格列佛,产量结构要素,相关依赖,千粒重,硝基磷,大豆,肥料,营养条件,产量
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Formation of structure elements of soybean harvest
Topicality. Quantitative indicators of each structure element of productivity directly affect the formation of high yields. The soil and climatic conditions of the region and certain elements of the cultivation technology, in particular, the application of fertilizers, are the determining factors of soybean productivity formation. Purpose. To establish the influence of inoculation and nutritional conditions on the formation of structure elements of the soybean yield for ultra-early variety Merkur. Methods. Special and general scientific methods were used in the research. For 2019–2020, field trials were conducted on typical low-humus chernozems in the conditions of the Kyiv region. The experiment was two-factor: factor A - nutritional conditions created by different rates of fertilizers and growth regulator Gulliver Stymul against the background of mineral fertilization in ВВСН 13-15; ВВСН 51-55; factor B – seed inoculation with Nitrofix P (dry inoculant for soybeans). Results. According to the results of research, the influence effectiveness of nutritional conditions, growth regulators, seed inoculation on the formation of soybean yield structure elements for the Merkur variety are presented, and the interrelationship between these factors is identified. It was established that the formation of soybean productivity elements depends on the studied factors and environmental factors. Conclusions. Increased fertilizer rates significantly increased the number of pods per plant and the number of seeds per pod. Dynamics of increasing the 1,000 seed weight was also observed both in variants with seed inoculation with Nitrofix P, and without seed inoculation. Correlation analysis between the soybean yield structure elements and fertilizer variants revealed a strong positive correlation between them. Correlation-regression analysis, both without seed inoculation and with seed inoculation, revealed a linear dependence, which characterized by a strong correlation between soybean yield and fertilizer variants, with an approximation confidence value of R2 = 0.951. Key words: Gulliver Stymul, yield structure elements, correlation dependence, 1,000 seed weight, Nitrofix P, soybeans, fertilizers, nutritional conditions, yield
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