通过创新肥料组合优化番茄植株生长和产量:因子组随机设计方法

Universitas Muhammadiyah Dr. Hindarto, Indonesia Sidoarjo, Optimisasi Pertumbuhan, Dan Hasil, Tanaman Tomat, Kombinasi Pupuk, Inovatif Pendekatan, Rancangan Acak, Kelompok Faktorial
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摘要

本研究采用严格的因子组随机设计(RAK)方法,研究液体补充肥(PPC)和氮磷钾复合肥对番茄植株生长和产量的协同效应。研究包括两个关键因素:液体补充肥有四个用量水平(对照、3 克/升、6 克/升和 9 克/升水),氮磷钾复合肥有四个用量水平(对照、200 千克/公顷、400 千克/公顷和 600 千克/公顷),均重复三次。对高度、叶片数、花朵数量和果实产量等关键植物参数的数据进行了细致的收集和分析。值得注意的是,联合施用 PPC 和 NPK 能显著提高生长和产量,超过单独施用的效果。我们的研究结果凸显了这种创新肥料组合在番茄作物生产革命中的巨大潜力,为农民有效满足农业需求提供了一个前景广阔的途径。 亮点 采用稳健的因子组随机设计(RAK)方法,研究 PPC 和 NPK 复合肥对番茄植株生长和产量的影响。 研究了 PPC 和 NPK 的不同剂量水平,每个剂量重复三次,以进行精确的数据分析。 联合施肥的协同效应优于单独施肥,为优化番茄作物生产提供了一种可行的方法。
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Optimizing Tomato Plant Growth and Yield through Innovative Fertilizer Combinations: A Factorial Group Random Design Approach
This study employed a rigorous Factorial Group Random Design (RAK) method to investigate the synergistic effects of Liquid Complementary Fertilizer (PPC) and NPK Compound Fertilizer on the growth and yield of tomato plants. The research consisted of two key factors: PPC with four dosage levels (control, 3 g/L, 6 g/L, and 9 g/L of water) and NPK Compound Fertilizer with four levels (control, 200 kg/ha, 400 kg/ha, and 600 kg/ha) - all replicated three times. Data on critical plant parameters such as height, leaf count, flower abundance, and fruit production were meticulously gathered and analyzed. Remarkably, the combined application of PPC and NPK exhibited significant enhancements in both growth and yield, surpassing the effects observed from individual applications. Our findings highlight the immense potential of this innovative fertilizer combination in revolutionizing tomato crop production, offering a promising avenue for farmers to meet agricultural demands efficiently. Highlights: Utilized a robust Factorial Group Random Design (RAK) methodology to examine the impact of PPC and NPK Compound Fertilizer on tomato plant growth and yield. Investigated various dosage levels of PPC and NPK, each replicated three times for precise data analysis. The synergistic effects of the combined application outperformed individual applications, showcasing a promising approach to optimize tomato crop production.
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