Por favor, use este identificador para citar o enlazar este ítem: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1186876
Registro completo de metadatos
Campo DCValorLengua/Idioma
dc.contributor.authorNAIME, J. de M.
dc.contributor.authorSPERANZA, E. A.
dc.contributor.authorLOPES, I. de O. N.
dc.contributor.authorVAZ, C. M. P.
dc.contributor.authorINAMASU, R. Y.
dc.contributor.authorNOGARA NETO, F.
dc.contributor.authorFRANCHINI, J. C.
dc.date.accessioned2026-05-18T13:49:18Z-
dc.date.available2026-05-18T13:49:18Z-
dc.date.created2026-05-14
dc.date.issued2025
dc.identifier.citationIn: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 5., 2025, São Carlos. Anais [...]. São Carlos: Embrapa Instrumentação, 2025. p. 577-581.
dc.identifier.issn2358-9132
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1186876-
dc.descriptionAbstract: Variable rate seeding (VRS) can enhance profitability, but its adoption by small and medium-sized producers is limited. This work presents a practical on-farm methodology to determine economically optimal corn seeding rates, designed for direct use by farm managers. The methodology was applied in two commercial fields in Paraná State, Brazil. In Field A, four seeding rates were tested on two corn hybrids using a planter with a mechanical drive. In Field B, four management zones (MZs) were delineated using multiple data layers, and variable seeding rates were applied to assess spatially-differentiated responses. Results showed distinct responses between hybrids and MZs. In Field A, increasing the seeding rate by approximately 10% boosted yield by 7.9% for one hybrid but was detrimental to the other. In Field B, an economic analysis revealed that the profit-maximizing seeding rate varied by MZ: a 20% rate increase was optimal in MZ2 (+2.44% profit), while a 10% increase was optimal in MZ4 (+2.57% profit). The study demonstrates that this accessible, on-farm experimental approach allows growers to effectively customize seeding rates, optimizing resource use and profitability without requiring significant investment in specialized technology or expertise.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectDensidade de plantio de milho
dc.subjectExperimentação on-farm
dc.subjectPopulação de sementes
dc.subjectSemeadura à taxa variada
dc.subjectOn-farm experimentation
dc.subjectSeed population
dc.subjectVariable rate seeding
dc.titleOptimizing maize planting density for enhanced economic returns.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroMilho
dc.subject.thesagroAgricultura de Precisão
dc.subject.nalthesaurusPrecision agriculture
dc.description.notesEditores: Paulo Sergio de Paula Herrmann Junior, Henriette Monteiro Cordeiro de Azeredo, Maria Fernanda Berlingieri Durigan, Luís Henrique Bassoi. SIAGRO 2025.
riaa.ainfo.id1186876
riaa.ainfo.lastupdate2026-05-18
dc.contributor.institutionJOAO DE MENDONCA NAIME, CNPDIA; EDUARDO ANTONIO SPERANZA, CNPTIA; IVANI DE OLIVEIRA NEGRAO LOPES, CNPSO; CARLOS MANOEL PEDRO VAZ, CNPDIA; RICARDO YASSUSHI INAMASU, CNPDIA; AGROEVOX; JULIO CEZAR FRANCHINI DOS SANTOS, CNPSO.
Aparece en las colecciones:Artigo em anais de congresso (CNPDIA)

Ficheros en este ítem:
Fichero Descripción TamañoFormato 
Optimizing-Cotton-Cultivation-Through-Variable-Rate-Seeding.pdf183 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro sencillo del ítem

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace