Influence of Baculovirus anticarsia on the growth rate and survival of some nontarget aquatic organisms.

Recently, microbial pest control agents (MPCAs) have been worldwide used to reduce chemical pesticide use and to diminish the high risk of those compounds in the environment. Among various MPCAs, the nuclear polyhedrosis virus Baculovirus anticarsia is widely used in Brazil in the biological control of the velvet bean caterpillar. Although literature data do not show adverse effects of baculoviruses to nontarget organisms, it is necessary to evaluate their toxicity or patogenicity in order to study th environmental risk of those products and to register the formulations in the Brazilian Environmental Regularory Agency - IBAMA. In the presente work, the influence of a Baculovirus anticarsia formulation was evaluted to measure the consequences in the growth rateof the green algae Selenastrum capricornutum, the duckweed Lemna valdiviana and the microcrustacean Daphnia similis. The survival of the fish Hyphessobrycon scholzei exposed during 28 days was also evaluated. No significative adverse effects (P > 0.05) were observed in the test organisms which were exposed to 1-1000 times the maximum calculated pesticide concentration following a direct application to 15 cm layer of water.

Use of swine waste-derived biogas to enhance microalgae productivity.

The effects of swine wastewater-derived biogas on microalgae productivity were determined. Experiments were conducted in a closed photobioreactor containing digestate effluent as culturing media and biogas in the headspaceas source of CO2. Experiments were carried out under mixothrophic and autothrophic conditions. Results showed that autotrophic growth rate (0.6 d-1)was twofoldfaster than mixotrophic. Frequent reinjections of biogas containing up to 2,000 ppm of hydrogen sulfide was not inhibitory to microalgae growth. The rapid removal of H2S in the system suggests photobioreactors can be an interesting alternative to biogas purification. A model to estimate microalgae productivity based on the amount of available CO2, inorganic and organic carbon was developedand showed good data fit correlation (r²= 0.99).