Using Soil Apparent Electrical Conductivity (ECa) to Assess Responsiveness of Nitrogen Rates and Yield in Brazilian Sugarcane Fields
| dc.contributor.author | Sanches, Guilherme Martineli | |
| dc.contributor.author | Faria, Hugo Miranda [UNESP] | |
| dc.contributor.author | Otto, Rafael | |
| dc.contributor.author | Neto, Almir Salvador [UNESP] | |
| dc.contributor.author | Corá, José Eduardo [UNESP] | |
| dc.contributor.institution | Universidade de São Paulo (USP) | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.date.accessioned | 2025-04-29T20:08:24Z | |
| dc.date.issued | 2025-03-01 | |
| dc.description.abstract | 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. | en |
| dc.description.affiliation | Soil Science Department Luiz de Queiroz College of Agriculture University of São Paulo, SP | |
| dc.description.affiliation | Soil Science Department School of Agricultural and Veterinary Studies São Paulo State University, SP | |
| dc.description.affiliationUnesp | Soil Science Department School of Agricultural and Veterinary Studies São Paulo State University, SP | |
| dc.identifier | http://dx.doi.org/10.3390/agronomy15030606 | |
| dc.identifier.citation | Agronomy, v. 15, n. 3, 2025. | |
| dc.identifier.doi | 10.3390/agronomy15030606 | |
| dc.identifier.issn | 2073-4395 | |
| dc.identifier.scopus | 2-s2.0-105000852860 | |
| dc.identifier.uri | https://hdl.handle.net/11449/307093 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Agronomy | |
| dc.source | Scopus | |
| dc.subject | nitrogen | |
| dc.subject | precision agriculture | |
| dc.subject | proximal soil sensing | |
| dc.subject | site-specific management | |
| dc.title | Using Soil Apparent Electrical Conductivity (ECa) to Assess Responsiveness of Nitrogen Rates and Yield in Brazilian Sugarcane Fields | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| unesp.author.orcid | 0000-0001-7718-8142[1] | |
| unesp.author.orcid | 0000-0003-1472-298X[3] | |
| unesp.author.orcid | 0000-0002-3578-8833[5] |

