DRIS no diagnóstico nutricional de Café (Coffea arabica L.) para a região Norte do estado do Paraná

• Ano de defesa: 2012
• Autor(a) principal: Silva, Ricardo Augusto da
• Orientador(a): Creste, José Eduardo
• Banca de defesa: Tiritan, Carlos Sérgio , Inoue, Tadeu Takeyoshi
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade do Oeste Paulista
• Programa de Pós-Graduação: Mestrado em Agronomia
• Departamento: Ciências Agrárias
• País: BR
• Palavras-chave em Português: café adensado; análise de folhas; fertilidade do solo; adubação; nutrição mineral de plantas
• Palavras-chave em Inglês: dense coffee; analysis of leaves; soil fertility; fertilization; mineral nutrition of plants
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
• Link de acesso: http://bdtd.unoeste.br:8080/tede/handle/tede/417

Due to the lack of knowledge on the culture of Arabica coffee, coupled with the success found by the use of the Integrated Diagnosis and Recommendation (DRIS) across cultures. The aim was to form a database through foliar analysis results and record productivity for the establishment of standards for DRIS Café in northern Paraná, and establish criteria for applying fertilizer to coffee production. The work was conducted between the months of February 2011 to February 2012 (2011/2012 harvest), on farms located in the municipality of Pitangueiras - PR, with geographic coordinates 23rd 14 `03 "S and 51 35 `06" W, with an altitude of 600 m. We collected leaf samples from 75 batches of coffee plantations (Coffea arabica L.), present in 69 farms with varieties IAPAR 59, IPR 98, IPR 99, Catuaí, Mundo Novo and Tupi. The samples were placed in paper bags and transported to the laboratory where they were washed, dried, ground and subjected to chemical analysis of plant tissue. Obtained the establishment of DRIS norms for nutritional diagnosis of Coffee (Coffea arabica L.) to the north of Paraná, using as standard, the productivity of 55 sc ha-1. It was observed in the data of the samples of the cutoff chosen (above 55 sc ha-1) was greater than the nutrient deficiency K, followed by Cu and Zn. As for excessive levels of nutrients, it was found nutrients Zn and Fe, S and Mn.