DINÂMICA DO MANEJO FITOSSANITÁRIO DA CULTURA DA SOJA EM MARIALVA-PR
DINÂMICA DO MANEJO FITOSSANITÁRIO DA CULTURA DA SOJA EM MARIALVA-PR
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DOI: https://doi.org/10.22533/at.ed.6172402027
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Palavras-chave: assistência técnica, fitossanidade, Glycine max L.
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Keywords: technical assistance, plant health, Glycine max L.
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Abstract: Phytosanitary management in soybean crop is directly related to factors that influence productivity losses and increased production costs. This work aimed to follow a technical team for the consolidation of knowledge acquired during agronomy degree at the Midwest State University (UNICENTRO). During the supervised internship, visits were carried out on assisted rural farms, with analysis of phytosanitary conditions in soybean, including: presence of pests, diseases and weeds, as well as evaluating managements strategies to be adopted and/or the efficiency of managements already made. The work methodology was guided by compliance with legislation on the use of pesticides, for knowledge about active ingredients of the used products in chemical control and considering the professional experience of the agronomist. Weed control had the horseweed, dayflower and voluntary corn species control as its central point, and mainly included: herbicide management, strategies against weed resistance to glyphosate and physical/chemical control by straw originated from winter crops residues. The presence of disease in soybean and the weather conditions were monitored simultaneously, realized either before and after recommended fungicide applications. There were disease managements with emphasis on asian soybean rust prevention, as well as powdery mildew and brown spot control. Pest incidence assessment was mainly focused on monitoring brown stink bugs, corn rootworm and looper caterpillar. Field experience in soybean phytosanitary management allowed to observe contrasts between theoretical and practical knowledge, such as the problem of weeds being narrated as the main obstacle to crop production and not asian soybean rust, which would be the most predictable.
- Luciano Ferreira Matiússi
- Cleber Daniel de Goes Maciel
- Edson Perez Guerra