Aperfeiçoamento da técnica de criação de adultos de diabrotica speciosa (Coleoptera: Chrysomelidae) em dieta natural.

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Programa Nacional de Melhoramento do Guzerá para Leite: resultados do Teste de Progênie, do Arquivo Zootécnico Nacional e do Núcleo Moet.

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Inibição de crescimento de plantas espontâneas por leguminosas herbáceas perenes na Caatinga Mineira - primeiro ano.

Publicado também na: Revista Brasileira de Agroecologia, v. 6. n. 2, dez. 2011

Macronutrients release by green manure species grown in cerrado/pantanal ecotone.

Assessing the nutrient release by cover crops species, especially those used in green manure, is important for planning activities aimed at the higher economic return. The use of these species in order to improve the growing conditions in the transition region between the Cerrado and Pantanal biomes, which have particular characteristics, may be a viable alternative. This study aimed to evaluate the amount of biomass produced and macronutrients released in this biomass by different green manure species grown in the Cerrado/Pantanal ecotone. The trial was carried out from April 2013 to June 2014 in the Plant Science sector at State University of Mato Grosso do Sul, Aquidauana-MS (Brazil). Experimental design was completely randomized arranged in time split plot, with four replications. First factor consisted of seven species of green manure, while the second were seven evaluation times (months). The variables evaluated were: dry mass of shoot and nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg) and sulfur (S) contents as a function of time. For all variables evaluated there was significant interaction between the green manure species and the collection months. Vegetable cover showed different rates of decomposition and nutrient release. Mucuna aterrima was the species that produced higher amounts of dry mass and nutrient content. After four months of cutting the plants, green manure species do not differentiate between the amounts of released nutrients

Polymer/layered silicate nanocomposite as matrix for bioinsecticide formulation.

Due to current encouragement to the use of bioinsecticides for pest control and the susceptibility of biological agents to external factors, we investigated the use of a polymer nanocomposite (PLN, polymer/ layered silicate nanocomposite) as matrix to encapsulate an entomopathogenic fungus active against pest insects of palm trees. The beads were formed by extrusion and the following variables were assessed: fungus conidial concentration (series 1: 107; series 2: 108 and series 3:109 conidia/mL) and nanolayered silicate concentration (0; 0.5; 1; 2 and 4%). The matrix was evaluated by X-ray powder diffraction and Fourier transform infrared spectroscopy and the following characteristics of the products were assessed: percent of encapsulated conidia, size distribution and polydispersity index, swelling index, formulation?s in vitro ability to release conidia and stability under different storage temperatures. PLN, whose interactions could be visualized by FTIR, proved to be a potential matrix for this fungus, because, while composed by natural substances non-toxic to the environment, it succeeded to encapsulate high amounts of conidia (series 2). A barrier effect with bentonite increase was also demonstrated by increased fungus germination time and thermal stability

Seasonal variation of pest mite populations in relation to citrus scion cultivars in northeastern Brazil.

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Multi-trait multi-environment models in the genetic selection of segregating soybean progeny.

At present, single-trait best linear unbiased prediction (BLUP) is the standard method for genetic selection in soybean. However, when genetic selection is performed based on two or more genetically correlated traits and these are analyzed individually, selection bias may arise. Under these conditions, considering the correlation structure between the evaluated traits may provide more-accurate genetic estimates for the evaluated parameters, even under environmental influences. The present study was thus developed to examine the efficiency and applicability of multi-trait multi-environment (MTME) models by the residual maximum likelihood (REML/BLUP) and Bayesian approaches in the genetic selection of segregating soybean progeny. The study involved data pertaining to 203 soybean F2:4 progeny assessed in two environments for the following traits: number of days to maturity (DM), 100-seed weight (SW), and average seed yield per plot (SY). Variance components and genetic and non-genetic parameters were estimated via the REML/BLUP and Bayesian methods. The variance components estimated and the breeding values and genetic gains predicted with selection through the Bayesian procedure were similar to those obtained by REML/BLUP. The frequentist and Bayesian MTME models provided higher estimates of broad-sense heritability per plot (or heritability of total effects of progeny; h2 prog) and mean accuracy of progeny than their respective single-trait versions. Bayesian analysis provided the credibility intervals for the estimates of h2 prog. Therefore, MTME led to greater predicted gains from selection. On this basis, this procedure can be efficiently applied in the genetic selection of segregating soybean progeny

Produtividade de variedades copa de citros em combinação com Limoeiro Cravo no Território Sul de Sergipe.

A região Nordeste responde por aproximadamente 10% da produção nacional de citros, constituindo-se na segunda maior região produtora do país, com mais de 118 mil hectares cultivados produzindo cerca de 1,7 milhão de toneladas de citros (IBGE, 2011). Dentre os estados nordestinos produtores, o destaque fica com a Bahia e Sergipe, com 90% de toda área plantada, ou seja, com 55,8 mil e 53 mil hectares plantados, respectivamente. A atividade citrícola na região nordestina tem baseado seus pomares em um número restrito de variedades, concentrando-se na laranjeira Pêra (C. sinensis) como cultivar copa. A citricultura sergipana é um claro exemplo desta situação, em que cerca de 95% de seus pomares assentam-se na referida laranjeira doce (PRUDENTE; SILVA, 2006)