Progresso da ferrugem tropical do milho (Zea mays L.), sob diferentes tratamentos fungicidas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Reação de cultivares de algodoeiro a Ramularia areola

Dentre as doenças causadoras de manchas foliares em algodoeiro, a mancha de ramulária (Ramularia areola Atk) tem se tornado importante em virtude das condições climáticas favoráveis para o desenvolvimento do patógeno, aliadas ao uso de cultivares suscetíveis, plantio consecutivo e extenso. Neste trabalho avaliaram-se os cultivares Delta Opal, Acala 90, Makina, Delta Penta e Sure Grow 821 quanto à resistência a R. areola, em condições de campo na FCAV-UNESP, no ano de 2006. A severidade da doença, que ocorreu por infecção natural das plantas pelo fungo, foi avaliada semanalmente em trinta plantas devidamente marcadas, utilizando-se uma escala descritiva de notas: 1 = 0%, 2 = até 5%, 3 = de 5,1 a 25%, 4 = de 25,1 a 50% e 5 = acima de 50% de área foliar com sintomas. Foram elaboradas curvas de progresso da doença para os cinco cultivares e o modelo monomolecular foi o que melhor se ajustou aos dados, em comparação com o logístico, o exponencial e o modelo de Gompertz. A análise dos dados indicou que houve diferença significativa entre os genótipos, sendo que Delta Opal, Makina e Sure Grow 821 mostraram-se mais suscetíveis e Delta Penta e Acala 90 mais resistentes ao fungo.

Effect of temperature and leaf wetness duration on infection of sweet oranges by Asiatic citrus canker

Asiatic citrus canker, caused by Xanthomonas smithii ssp. citri, formerly X. axonopodis pv. citri, is one of the most serious phytosanitary problems in Brazilian citrus crops. Experiments were conducted under controlled conditions to assess the influence of temperature and leaf wetness duration on infection and subsequent symptom development of citrus canker in sweet orange cvs Hamlin, Natal, Pera and Valencia. The quantified variables were incubation period, disease incidence, disease severity, mean lesion density and mean lesion size at temperatures of 12, 15, 20, 25, 30, 35, 40 and 42 degrees C, and leaf wetness durations of 0, 4, 8, 12, 16, 20 and 24 h. Symptoms did not develop at 42 degrees C. A generalized beta function showed a good fit to the temperature data, severity being highest in the range 30-35 degrees C. The relationship between citrus canker severity and leaf wetness duration was explained by a monomolecular model, with the greatest severity occurring at 24 h of leaf wetness, with 4 h of wetness being the minimum duration sufficient to cause 100% incidence at optimal temperatures of 25-35 degrees C. Mean lesion density behaved similarly to disease severity in relation to temperature variation and leaf wetness duration. A combined monomolecular-beta generalized model fitted disease severity, mean lesion density or lesion size as a function of both temperature and duration of leaf wetness. The estimated minimum and maximum temperatures for the occurrence of disease were 12 degrees C and 40 degrees C, respectively.

Curvas de progresso de doenças foliares do milho, sob diferentes tratamentos fungicidas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Dinâmica espaço-temporal e quantificação dos danos e perdas da murcha de Ceratocystis em eucalipto na produção de carvão vegetal

Pós-graduação em Ciência Florestal - FCA

Aspectos epidemiológicos da ferrugem alaranjada da cana-de-açúcar (Puccinia kuehnii)

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Modelos estocásticos de crescimento individual e desenvolvimento de software de estimação e previsão

Os modelos de crescimento individual são geralmente adaptações de modelos de crescimento de populações. Inicialmente estes modelos eram apenas determinísticos, isto é, não incorporavam as flutuações aleatórias do ambiente. Com o desenvolvimento da teoria do cálculo estocástico podemos adicionar um termo estocástico, que representa a aleatoriedade ambiental que influencia o processo em estudo. Actualmente, o estudo do crescimento individual em ambiente aleatório é cada vez mais importante, não apenas pela vertente financeira, mas também devido às suas aplicações nas áreas da saúde e da pecuária, entre outras. Problemas como o ajustamento de modelos de crescimento individual, estimação de parâmetros e previsão de tamanhos futuros são tratados neste trabalho. São apresentadas novas aplicações do modelo estocástico monomolecular generalizado e um novo software de aplicação deste e de outros modelos. ABSTRACT: Individual growth models are usually adaptations of growth population models. Initially these models were only deterministic, that is, they did not incorporate the random fluctuations of the environment. With the development of the theory of stochastic calculus, we can add a stochastic term that represents the random environmental influences in the process under study. Currently, the study of individual growth in a random environment is increasingly important, not only by the financial scope but also because of its applications in health care and livestock production, among others. Problems such as adjustment of an individual growth model, estimation of parameters and prediction of future sizes are treated in this work. New applications of the generalized stochastic monomolecular model and a new software applied to this and other models are presented.

Development of Glomerella leaf spot is enhanced in virus-infected Maxi Gala apples.

Apples are commercially grown in Brazil in a subtropical environment that favors the development of fungal diseases such as Glomerella leaf spot (GLS) caused mainly by Glomerella cingulata (anamorph Colletotrichum gloeosporioides). The main objective of this work was to evaluate the effect of mixed infections by Apple stem grooving virus (ASGV) and Apple stem pitting virus (ASPV) on the infection and the colonization processes of C. gloeosporiodes in cv. Maxi Gala plants. Leaves of 16-month-old potted plants were spray-inoculated and both the disease incidence and lesion count were monitored over time and leaf severity was assessed in the final evaluation using an image analysis tool. Results showed that initial infection estimated from a monomolecular model fitted to progress of lesion count was higher and the incubation period (time to reach 50% incidence) was on average 10 h shorter in virus-infected plants compared to non-infected plants. It is hypothesized that initial events such as conidial germination and fungal penetration into plant cells were facilitated by the presence of viral infection. Also, final GLS severity was significantly higher in the virus-infected plants. Mixed infections by ASGV/ASPV seemed to make apple leaves more susceptible to the initial infection and colonization by C. gloeosporioides.

An approximate method for the solution of an influence function foil rolling model

Fleck and Johnson (Int. J. Mech. Sci. 29 (1987) 507) and Fleck et al. (Proc. Inst. Mech. Eng. 206 (1992) 119) have developed foil rolling models which allow for large deformations in the roll profile, including the possibility that the rolls flatten completely. However, these models require computationally expensive iterative solution techniques. A new approach to the approximate solution of the Fleck et al. (1992) Influence Function Model has been developed using both analytic and approximation techniques. The numerical difficulties arising from solving an integral equation in the flattened region have been reduced by applying an Inverse Hilbert Transform to get an analytic expression for the pressure. The method described in this paper is applicable to cases where there is or there is not a flat region.