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Otto,Rafael; Zavaschi,Eduardo; Souza Netto,Gerson José Marquesi de; Machado,Bianca de Almeida; Mira,Acácio Bezerra de. |
ABSTRACT Maintenance of crop residues over soil surface under conservational systems limits incorporation of nitrogen fertilizers into the soil. Application of urea over crop residues enhance N-NH3 volatilization losses, justifying the usage of urease inhibitors or N sources less susceptible to volatilization under such conditions. This study aimed to evaluate volatilization losses from N sources applied over sugarcane straw. A field trial was carried out in a sugarcane field in Iracemapolis, Sao Paulo on a Typic Kandiudox in June 2014. We used a complete block experimental design, with seven treatments and four replications. Treatments included Control [CO], ammonium nitrate [AN], NS30TM (ammonium nitrate-75% and ammonium sulfate-25% fused mixture)... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Urea; NBPT; NS 30 TM; Green cane. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000300413 |
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Matias,Filipe Inácio; Sabadin,José Felipe Gonzaga; Moreira,Lílian Angélica; Gomes,Marcos Henrique Feresin; Mira,Acácio Bezerra de; Fritsche-Neto,Roberto; Otto,Rafael. |
ABSTRACT New apps have changed the traditional way of learning and teaching; they are also applied as a quickly executed and effective method in agriculture. Soil-app is a web application with a friendly click-point interface built through packages lodged in R software. The app is an advanced model of an open-source platform to support teaching and learning activities in soil analyses and fertilizer recommendations. Soil-app includes soil test interpretation, soil amendment calculations (lime and gypsum), the fertilizer rate for the most important crops in Brazil, an NPK blend calculator, and NPK blend evaluation. It also includes experimental statistical analysis as applied to soil science. Soil-app is a user-friendly and high-performance tool, garnering... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Software; Fertilizers; Recommendation; Prediction; Statistical analyses. |
Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000101404 |
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