Doses de fertilizante organomineral na cultura da soja

• Autor(a) principal: Ribeiro, Maria Eduarda Guimarães
• Data de Publicação: 2019
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Biblioteca Digital de Monografias da UFMT
• Texto Completo: http://bdm.ufmt.br/handle/1/908
• topic: CNPQ::CIENCIAS AGRARIAS::AGRONOMIA; Fertilizantes organominerais; PT4-O®; Green Factor®; Produtividade; Organomineral Fertilizers; PT4-O®; Green Factor®; Productivity

Organomineral fertilizers are the blend of an organic fertilizer with an industrialized mineral fertilizer. It may be considered an innovative breakthrough because these fertilizers activate the soil's microbiota, provide nutrients, and retain moisture. The experiment was carried out at Fazenda Confiança I, in the municipality of Sorriso-MT. The objective of this work was to evaluate the productive performance of soybean when submitted to different doses of organomineral fertilizer Green Factor® in the presence or not of the organomineral fertilizer PT4-O® in the dose 250 ml ha-1. The experimental design was a randomized complete block design (DBC) in a 2x5 factorial scheme with 4 replicates. The first factor was the presence or absence of "PT4-O®", and the second factor is the different doses of Green Factor® (0, 1, 2, 4 and 6 liters per hectare). Half of the seeds were first treated with the product "PT4-O®" from the recommended dose, while the other half did not received any dose. Subsequently, soybean seeds were sown. At 25 days after emergence, the doses of the product "Green Factor®" were applied to the plants. The parameters were quantified: leaf area, number of leaves, shoot dry mass and grain yield. Data were submitted to statistical analysis using the statistical software "Sisvar®". From the obtained data, it was observed that: for all the evaluated characteristics in which there was an interaction between the factors, the presence of PT4-O® when associated to the dose of 6 liters per hectare of Green Factor®, showed the highest values for the characteristics evaluated.