Enhancing Sugarcane Growth and Improving Soil Quality by Using a Network-Structured Fertilizer Synergist

Zhao, Yonglong; Cao, Jingjing; Wang, Zhiqin; Liu, Lu; Yan, Meixin; Zhong, Nanshan; Zhao, Pan

doi:10.3390/su15021428

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…China is ranked as the third largest producer in the world, trailing behind Brazil and India [1,2]. The yield and quality of sugarcane have a direct impact on the economic income of farmers and the country's overall economic interests [3,4]. Notably, the fertilization of sugarcane, a crucial aspect of its production, profoundly affects its growth and yield [5,6].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of Sugarcane Spiral Fertilizer Applicator Based on Response Surface Methodology and Artificial Neural Networks

Peng,

Zhang,

Zhang

et al. 2023

Processes

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To address the challenges of poor fluidity and low uniformity in conventional sugarcane fertilizer applicators, a novel dual-directional spiral fertilizer applicator has been developed. The working principle of the applicator is explained, and, after analyzing the agronomic requirements for sugarcane, the parameter range for key components of the applicator is determined. The spiral blade’s diameter, pitch, and rotational velocity are chosen as the experimental factors, with the average fertilizer discharge uniformity as the evaluation criterion. Virtual simulation experiments are conducted using the discrete element method and a quadratic regression orthogonal rotating combined design. Regression models for the evaluation criterion and various experimental factors are obtained. Additionally, a dataset created from these experiments was then used to construct an artificial neural network (ANN) prediction model. Response surface methodology (RSM) and the ANN were both used to analyze and predict the outcomes. The results indicate that the artificial neural network outperforms response surface methodology in terms of better fitting capability and higher prediction accuracy. The determination coefficient, mean squared error, and root mean square error are 0.99629, 0.99163, 0.07763, 0.17498, 0.27862, and 0.41831, respectively. When comparing the two models, the optimal parameter combination is determined to be a diameter of 90.1669 mm, a pitch of 59.7407 mm, and a rotational speed of 53.8944 r/min, resulting in an average fertilizer discharge uniformity of 92.0670%. An experiment with these parameters confirmed the simulated findings, revealing a maximum discrepancy of 2.4%. This study offers valuable insights into optimizing spiral fertilizer applicators.

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Section: Introductionmentioning

confidence: 99%

Design and Optimization of Sugarcane Spiral Fertilizer Applicator Based on Response Surface Methodology and Artificial Neural Networks

Peng,

Zhang,

Zhang

et al. 2023

Processes

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Treating Tropical Soils with Composted Sewage Sludge Reduces the Mineral Fertilizer Requirements in Sugarcane Production

Silva,

Teixeira Filho,

Jalal

et al. 2024

Land

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Conventional mineral fertilization (CMF) is a common practice in infertile sugarcane-cultivated tropical soils, increasing production costs and environmental concerns. Combining CMF with composted sewage sludge (CSS) could be a sustainable strategy. We aim to evaluate changes in soil chemical properties, macro- and micronutrient concentrations in the soil surface (Ap1; 0–25 cm) and subsurface (Ap2; 25–50 cm) horizons, after CSS application with or without CMF in sugarcane cultivation (first and second ratoon cane). Eleven treatments, featured by CSS increase rates and mixed with CMF at different concentrations, were tested in the first ratoon; during the second, the CSS residual effect was evaluated. Applying CSS in sugarcane-cultivated soils, improved the following: (i) soil organic matter, pH, the sum of bases, cation-exchange capacity, and base saturation; (ii) overall nutrient concentrations (P, K, Ca, Mg, B, Cu, and Zn). The treatments showing the best performances were those with 5.0 Mg ha−1 of CSS. Composted sewage sludge has the potential for use as an organic natural fertilizer reducing the need for CMF. When applied in infertile tropical soils, additional positive effects can be achieved, such as decreasing production costs and providing socio-economic benefits.

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Exogenous Application of Iron Andzinc Nanoparticles on Germination and Growth Characteristics of Sugarcane (Saccharum Officinarum L.) Budnode

Hameed,

Shahzadi,

Kaleri

et al. 2024

Pak. J. Biotechnol

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The applications of nano-particles (NPs) in agriculture, such as nano-fertilizers, nano-insecticides, and nano-herbicides, are significantly impacted by their specific structure. In an experiment conducted at the College of Agriculture, University of Sargodha, the presence of Fe and Zn nano-particles at different concentrations was investigated to promote the appearance and growth of sugarcane buds. The experiment was conducted using a Randomize Complete Block Design (RCBD) method, with three replications of plant height at different concentrations of Fe NPs and Zn NPs. The results showed that high Zn concentrations, such as 75 and 100 mg L-1, significantly influenced germination-related characteristics, including minimum plant height. Sugarcane buds treated with Fe NPs at 50 mg L-1 and Zn NPs at 100 mg L-1 had the largest leaf area, while buds treated with Zn NPs at 50 mg L-1 had the minimum leaf-to-plant ratio. The topical application of Fe NPs and Zn NPs to sugarcane increased chlorophyll concentration and photosynthetic rate by 1.3 cm. The plant also showed the highest amount of zinc. At 100 mg L-1, the shoot Fe 6.9 concentration in Zn NPs was the highest. In conclusion, adding Zn and Fe nano-particles in amounts ranging from 100 mg L-1 to 50 mg L-1 significantly improved the growth and development of sugarcane bud nodes.

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Enhancing Sugarcane Growth and Improving Soil Quality by Using a Network-Structured Fertilizer Synergist

Cited by 3 publications

References 38 publications

Design and Optimization of Sugarcane Spiral Fertilizer Applicator Based on Response Surface Methodology and Artificial Neural Networks

Design and Optimization of Sugarcane Spiral Fertilizer Applicator Based on Response Surface Methodology and Artificial Neural Networks

Treating Tropical Soils with Composted Sewage Sludge Reduces the Mineral Fertilizer Requirements in Sugarcane Production

Exogenous Application of Iron Andzinc Nanoparticles on Germination and Growth Characteristics of Sugarcane (Saccharum Officinarum L.) Budnode

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