Quantificação dos danos causados pela pinta-preta em tomateiro

• Ano de defesa: 2007
• Autor(a) principal: Hernandez, Juan Felipe Rivera
• Orientador(a): Vale, Francisco Xavier Ribeiro do
• Banca de defesa: Maffia, Luiz Antônio , Jesus Júnior, Waldir Cintra de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Fitopatologia
• Departamento: Etiologia; Epidemiologia; Controle
• País: BR
• Palavras-chave em Português: Pinta-preta; Tomate; Doenças e pragas; Alternaria solani; Produtividade agrícola
• Palavras-chave em Inglês: Early blight; Tomato; Pests and diseases; Alternaria solani; Agricultural productivity
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOSSANIDADE::FITOPATOLOGIA
• Link de acesso: http://locus.ufv.br/handle/123456789/4451

Pests and diseases have been causing serious damage to tomato (Lycopersicon esculentum Mill.) crop. Early blight caused by Alternaria solani (Ellis & Martin) Sorauer stands out among them. Epidemiological studies were carried out using the pathosystem tomato early blight (Alternaria solani) , in two different times (April to August and August to November, 2006), seeking to relate area under the disease progress curve (AUDPC), healthy leaf area duration (HAD), healthy leaf area absorption (HAA) and production (Y). The experiments were arranged in randomized block design, with five treatments and four repetitions. The treatments consisted of applications of different doses of the fungicide Chlorotalonil (0, 25, 50, 75 and 100% of the recommended commercial doses) to create a disease gradient. The evaluations were carried out weekly by quantifying disease severity and the host growth variables, in a non-destructive way. In both experiments, the production was negatively correlated with AUDPC (r = - 0.62 and r = -0.84) and positively with HAD (r = 0.65 and r = 0.60) and HAA (r = 0.64 and r = 0.55). The relationship among the variables was significant, with linear tendency. The estimated equation for HAD and production was Y = 0.6707X + 9.433 (R2 = 0.42) for the first and Y = 0.9347X 5.813 (R2 = 0.35) for the second experiment; the estimated equation for HAA and production was Y = 0.0866X + 4.9796 (R2 = 0.40) for the first and Y = 0.1311X 14.371 (R2 = 0.29) for the second. experiment There was also a significant relationship between AUDPC and production.