Simulation of seed productivity of the rice varieties in the conditions of the South of Ukraine

S. Vozhegov, M. I. Tsilinko, G. Zorina
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Abstract

Cite this article: Vozhegov, S. G., Tsilinko, M. I., & Zorina, G. G. (2019). Simulation of seed productivity of the rice varieties in the conditions of the South of Ukraine. Agrology, 2(1), 51‒58. doi: 10.32819/2617-6106.2018.14018 Abstract. The processes of simulation yields and water consumption of the rice varieties of domestic selection Ukraine-96, Premium, Viscount with the help of the FAO AquaCrop model are described. As experimental data, we used the results of research on improvement of growing technologies of rice seeds, which were conducted during 2016–2018 years at the Institute of Rice of National Academy of Agrarian Sciences of Ukraine. The research was carried out in accordance with the common requirements of the experiment work and the technique of state strain testing of agricultural crops. The data of the climatic conditions of the South of Ukraine, biometric and structural characteristics of the varieties of culture under investigation, agrotechnics, physical soil and water indicators were introduced into the information system regarding the proposed AquaCrop algorithm and its conceptual provisions. The most optimal for water saving and the amount of biomass received among other simulation scenarios was the option of formation of biologically optimal irrigation schedule with an irrigation interval of allowable depletion 78% of RAW (readily available groundwater in the root zone) and a depth of 20 mm. The summarized results of simulation show that the most effective on the amount of accumulated biomass and yield was the Viscount variety with the values, respectively, 21.11 t/ha, 9.50 t/ha – in 2016 year and 19.20 t/ha, 8.83 t/ha – in 2017 year. Calculated by the program rate of irrigation in 2016 year 860 mm (8,600 m3/ha) was lower than the rate in 2017 year (900 mm) with the same rate of irrigation 200 m3/ha. In 2018, the highest indicators of biomass (21.99 t/ha) and crop yield (10.12 t/ha) were obtained in the variety Ukraine-96 with the irrigation rate of 880 mm. The results of our research with using FAO AquaCrop agrotechnology demonstrate this system as a progressive tool with a future perspective for planning the rice production process in crop yield simulation with the aim of comparison of existing and future perspective varieties according to their properties, creating the most optimal irrigation strategies for water saving and less pressure on environment.
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乌克兰南部条件下水稻品种种子产量的模拟
引用本文:Vozhegov,S.G.,Tsilinko,M.I.和Zorina,G.G.(2019)。乌克兰南部条件下水稻品种种子生产力的模拟。农学,2(1),51-58。doi:10.32819/2617-6106.2018.14018摘要。介绍了在FAO AquaCrop模型的帮助下,对国内选择的Ukraine-96、Premium、Viscount水稻品种的产量和耗水量进行模拟的过程。作为实验数据,我们使用了乌克兰国家农业科学院水稻研究所在2016-2018年间进行的水稻种子种植技术改进研究的结果。本研究是根据试验工作的共同要求和农作物状态菌株检测技术进行的。乌克兰南部的气候条件数据、正在调查的栽培品种的生物特征和结构特征、农业技术、物理土壤和水分指标被引入关于拟议的AquaCrop算法及其概念规定的信息系统。在其他模拟场景中,节水和接收生物量的最佳方案是制定生物最佳灌溉计划,灌溉间隔为允许消耗78%的RAW(根区随时可用的地下水),深度为20mm。模拟总结结果表明,子爵品种对累积生物量和产量影响最大,2016年分别为21.11吨/公顷、9.50吨/公顷,2017年分别为19.20吨/ha、8.83吨/公顷。根据计划计算,2016年860毫米(8600立方米/公顷)的灌溉率低于2017年200立方米/公顷的灌溉率(900毫米)。2018年,灌溉量为880mm的品种Ukraine-96的生物量(21.99 t/ha)和作物产量(10.12 t/ha)指标最高。我们使用FAO AquaCrop农业技术进行的研究结果表明,该系统是一种具有未来前景的进步工具,用于在作物产量模拟中规划水稻生产过程,目的是根据现有和未来前景品种的特性进行比较,为节水和减轻环境压力创造最优化的灌溉策略。
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