Consulta: creatorFacets:"Borges,Bernardo Melo Montes Nogueira"
Registros recuperados: 2
Data/hora: 26/07/2024 22:43:57

Decision-making on the optimum timing for nitrogen fertilization on sugarcane ratoon
Provedor de dados: Scientia Agricola
Autores: Castro,Sérgio Gustavo Quassi de; Rossi Neto,João; Kölln,Oriel Tiago; Borges,Bernardo Melo Montes Nogueira; Franco,Henrique Coutinho Junqueira.
ABSTRACT: Low efficiency of nitrogen from fertilizers is a major concern worldwide, threatening the sustainability of sugarcane production. The N use efficiency (NUE) by sugarcane can be improved by adopting better fertilizing management practices, reducing environmental impacts. This work evaluated the effects of varying N rates and time of application on stalks and sugar yield in ratoon harvested early in the crop season. The experimental design was a randomized block in a 2 × 4 factorial design and a control (no N) with five replications, including two application times (45 or 90 DAH – days after harvest) and four N rates (50, 100, 150, or 200 kg N ha−1). The time of N fertilizer application promoted differences in stalk yield, as the cumulative yield...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: N fertilization; Green cane; Sugarcane yield; Economical rate.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001300237

Precision production environments for sugarcane fields
Provedor de dados: Scientia Agricola
Autores: Sanches,Guilherme Martineli; Paula,Maria Thereza Nonato de; Magalhães,Paulo Sérgio Graziano; Duft,Daniel Garbellini; Vitti,André César; Kolln,Oriel Tiago; Borges,Bernardo Melo Montes Nogueira; Franco,Henrique Coutinho Junqueira.
ABSTRACT: Sugarcane (saccharum spp.) in Brazil is managed on the basis of “production environments”. These “production environments” are used for many purposes, such as variety allocation, application of fertilizers and definition of the planting and harvesting periods. A quality classification is essential to ensure high economic returns. However, the classification is carried out by few and, most of the time, non-representative soil samples, showing unreal local conditions of soil spatial variability and resulting in classifications that are imprecise. One of the important tools in the precision agriculture technological package is the apparent electrical conductivity (ECa) sensors that can quickly map soil spatial variability with high-resolution and at...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Proximal soil sensors; Site-specific soil management; Soil apparent electrical conductivity; Precision agriculture technologies.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019000100010