高粱的生产力[高粱双色(L.)]和soryz (S. orysodium),这取决于控制杂草的方法

L. A. Pravdyva, O. M. Hanzhenko, H. S. Honcharuk
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Over the years of research, the species and quantitative composition of weeds in crops of sorghum and soryz was established. The highest efficiency of weed control was observed in the variant with manual wee­ding – 95.0–97.0%, with chemical treatment – 82.0–83.0%, with mechanical treatment – 78.6–88.5%. On the other hand, in the control variant (no maintenance), weediness increased by 10.3–13.9%. The lowest grain and biomass yields in the varieties ‘Dniprovskyi 39’ (2.35 and 22.23 t/ha) and ‘Samaran 6’ (2.50 and 22.7 t/ha) were obtained in the weeded variant (control); slightly higher for the mechanical treatment. The use of a chemical control method helped to increase the yield to 3.40 t/ha of grain and 29.07 t/ha of biomass in sorghum and 2.80 t/ha of grain and 27.73 t/ha of biomass in soryz; manual weeding – up to 3.90 t/ha of grain and 32.13 t/ha of biomass in sorghum and 3.50 t/ha of grain and 30.63 t/ha of biomass in soriz. Conclusions. 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引用次数: 0

摘要

目的。在乌克兰西部森林草原湿度不稳定的条件下,确定控制杂草数量的方法对高粱和高粱能量生产力的有效性。方法。实验采用现场、室内、数学和统计等方法。因此,田间研究包括研究作物生长、生产力和质量的生物学和生态学特征,包括观察、记录条件和结果。实验室方法的目的是通过分析植物和环境(土壤)之间的关系。为了提高实验结果的有效性,采用数学和统计方法对实验数据进行处理。结果。经过多年的研究,确定了高粱和高粱作物中杂草的种类和数量组成。人工除草效率为95.0% ~ 97.0%,化学除草效率为82.0 ~ 83.0%,机械除草效率为78.6 ~ 88.5%。另一方面,在没有维护的对照变异中,杂草增加了10.3-13.9%。除草变异(对照)的籽粒和生物量产量最低的品种为‘Dniprovskyi 39’(2.35和22.23 t/ha)和‘Samaran 6’(2.50和22.7 t/ha);机械处理略高。采用化学防治方法,高粱和高粱的产量分别提高到3.40 t/公顷和29.07 t/公顷,高粱和高粱的产量分别提高到2.80 t/公顷和27.73 t/公顷;人工除草——高粱的谷物和生物量可达3.90吨/公顷,高粱的谷物和生物量可达32.13吨/公顷,高粱的谷物和生物量可达3.50吨/公顷,高粱的生物量可达30.63吨/公顷。结论。在种植高粱(1.29和9.16吨/公顷)和高粱(1.16和9.09吨/公顷)时,人工除草获得了单位面积生物乙醇和固体生物燃料的最高估计产量。总能量输出分别为181.62和177.02 GJ/ha。在其他版本的实验中,记录的指标更低。数据的相关回归分析表明,粮食生产力与生物乙醇产量、固体生物燃料产量和产量、粮食生产力与生物乙醇能源产出、生物质产量和固体生物燃料能源产出之间存在较强的相关性。相关系数为0.87 ~ 0.99,决定系数为0.78 ~ 0.99。
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Productivity of sorghum [Sorghum bicolor (L.) Moench] and soryz (S. orysoidum) depending on methods of weed control
Purpose. To establish the effectiveness of methods of controlling the number of weeds on the energy productivity of sorghum and soryz in the conditions of unstable moisture in the western part of the forest­steppe of Ukraine. Methods. Field, laboratory, mathematical and statistical methods were used in the experiments. Thus, field research consists of studying the biological and ecological characteristics of growth, productivity and quality of the crop, including observation, recording of conditions and results. The purpose of the laboratory method is to identify the relationship between the plant and the environment (soil) through their analysis. Mathematical and statistical methods are used to process experimental data in order to increase the validity of the results. Results. Over the years of research, the species and quantitative composition of weeds in crops of sorghum and soryz was established. The highest efficiency of weed control was observed in the variant with manual wee­ding – 95.0–97.0%, with chemical treatment – 82.0–83.0%, with mechanical treatment – 78.6–88.5%. On the other hand, in the control variant (no maintenance), weediness increased by 10.3–13.9%. The lowest grain and biomass yields in the varieties ‘Dniprovskyi 39’ (2.35 and 22.23 t/ha) and ‘Samaran 6’ (2.50 and 22.7 t/ha) were obtained in the weeded variant (control); slightly higher for the mechanical treatment. The use of a chemical control method helped to increase the yield to 3.40 t/ha of grain and 29.07 t/ha of biomass in sorghum and 2.80 t/ha of grain and 27.73 t/ha of biomass in soryz; manual weeding – up to 3.90 t/ha of grain and 32.13 t/ha of biomass in sorghum and 3.50 t/ha of grain and 30.63 t/ha of biomass in soriz. Conclusions. The highest estimated yields of bioethanol and solid biofuel per unit area were obtained by manual weeding in the cultivation of sorghum (1.29 and 9.16 t/ha) and soryz (1.16 and 9.09 t/ha). The total energy output was 181.62 and 177.02 GJ/ha respectively. In other versions of the experiment, the noted indicators were lower. Correlation regression analysis of the data showed a strong correlation between grain productivity and bioethanol output, solid biofuel yield and output, grain productivity and energy output from bioethanol, biomass yield and energy output from solid biofuel. The correlation coefficient ranged from 0.87 to 0.99 and the coefficient of determination ranged from 0.78 to 0.99.
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