The impact of fossil fuels on greenhouse gas generation has intensified the study of new renewable energy sources such as energy crops. L. is one of the promising crops for energy production due to its high growth rate and tolerance to different adverse conditions. This work aimed to study L. as an alternative for energy generation through biomass production. The second growth cycle of the crop planted in the spring of 2019 in Azul, south-central Buenos Aires - Argentina, was evaluated under potential (irrigated and fertilized) and natural conditions (without irrigation and fertilization), using two forms of reproduction and two densities. Periodically, measurements and estimates of leaf area index (LAI), solar radiation intercepted by the crop, radiation use efficiency (RUE), aboveground biomass, and other agrometeorological parameters were made. Subsequently, with the agrometeorological parameters obtained under potential conditions, the ARMIDA model was optimized under local edaphoclimatic conditions. The aboveground biomass of the crop planted under potential conditions was 41.58 t ha dry matter, 2.5 times higher than in natural conditions, and presented a maximum LAI of 6.59 and RUE of 2.16 g MJ. The ARMIDA model overestimated the evolution of LAI throughout the growing season, simulating a maximum LAI of 7.35. The calibrated model underestimated aboveground biomass, simulating 5.3% less than that obtained in the field. The optimization of the ARMIDA model allowed a better systematization of the knowledge about this crop in the south-central region of the province of Buenos Aires.

中文翻译：

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阿根廷布宜诺斯艾利斯中南部地区能源作物巨型芦苇（Arundo donax L.）的生长和ARMIDA模型的优化

化石燃料对温室气体产生的影响加强了对能源作物等新型可再生能源的研究。由于其高生长率和对不同不利条件的耐受性，L. 是一种有前途的能源生产作物。这项工作旨在研究 L. 作为通过生物质生产产生能源的替代品。2019 年春季在阿根廷布宜诺斯艾利斯中南部 Azul 种植的作物的第二个生长周期在潜力（灌溉和施肥）和自然条件（无灌溉和施肥）下进行了评估，采用两种繁殖形式和两种繁殖方式。密度。定期测量和估计叶面积指数（LAI）、作物截获的太阳辐射、辐射利用效率（RUE）、地上生物量和其他农业气象参数。随后，利用潜在条件下获得的农业气象参数，对当地土壤气候条件下的ARMIDA模型进行了优化。潜在条件下种植的作物地上生物量为41.58 t ha干物质，是自然条件下的2.5倍，最大LAI为6.59，RUE为2.16 g MJ。ARMIDA 模型高估了整个生长季节 LAI 的演变，模拟最大 LAI 为 7.35。校准模型低估了地上生物量，模拟结果比现场获得的生物量少 5.3%。ARMIDA 模型的优化使得布宜诺斯艾利斯省中南部地区有关该作物的知识能够更好地系统化。