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Using Soil Apparent Electrical Conductivity (ECa) to Assess Responsiveness of Nitrogen Rates and Yield in Brazilian Sugarcane Fields

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The expansion of sugarcane production has led to increased nitrogen (N) fertilizer use, contributing to greenhouse gas emissions and environmental concerns. Optimizing N management is crucial for sustainable agriculture. Soil apparent electrical conductivity (ECa) has emerged as a valuable tool for mapping soil spatial variability and yield potential, potentially guiding more efficient fertilization strategies. This study evaluated sugarcane yield and N responsiveness across two areas with distinct soil types over two crop cycles. Experimental plots were classified into high (HC) and low (LC) ECa zones, with randomized blocks receiving four N rates and a control. Higher yields were generally observed in HC plots, except for the second ratoon in area 2 (Ultisol). HC plots required lower N rates to achieve maximum yield compared to LC plots. In area 1 (higher clay content), optimal N rates were lower than in area 2 (lower clay content), indicating that yield potential is linked to soil attributes and spatial variability. Although ECa alone may not define precise N doses, it effectively identifies zones with different yield potentials, supporting site-specific N management. These findings highlight the potential of ECa to improve nitrogen use efficiency and contribute to more sustainable sugarcane production.

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nitrogen, precision agriculture, proximal soil sensing, site-specific management

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Inglês

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Agronomy, v. 15, n. 3, 2025.

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