Efeito do tratamento com fontes de zinco e boro na germinação e vigor de sementes de milho

The experiment was carried during the period of march 1992 to november 1992, to study the effects of maize seed treatment with zinc, boron and pesticides, on the germination and vigour during storage. The experimental design was a complete randomized 3x2x6 fatorial with four replicátions. The treatments were three storage periods (zero, four and eight month), pesticides treatments with or without, and six sources of zinc and boron (control, Zn-Biocrop, B-Biocrop, Organic-B, Zn-Biocrop -I- B-Biocrop and Zn-Biocrop + Organic-B), in the dose 2.50g of the Zn and 0.l5g of the B/kg of seeds. The results show that Zn-Biocrop maintain high germination and vigour for eight month of storage. The boron treatment (B-Biocrop and Organic-B) showed a low germination and vigour.Foi conduzido um experimento no Departamento de Fitotecnia da Universidade Federal de Santa Maria, RS, no período de março a novembro de 1992, com o objetivo de verificar o efeito da aplicação de fontes de zinco e boro em sementes de milho tratadas ou não com defensivos agrícolas. Adotou-se o esquema fatorial 3x2x6, em delineamento inteiramente casualizado, com quatro repetições. Os tratamentos constaram de avaliações em três épocas (logo após o tratamento, quatro e oito meses depois), utilização de sementes de milho com e sem tratamento fítossanitário, combinados com seis fontes de zinco e boro (testemunha, Zn-Biocrop, B-Biocrop, E-Orgânico, Zn-Biocrop + B-Biocrop e Zn-Biocrop + B-Orgânico), nas doses únicas de 2,50g Zn e de 0,15g B/kg de sementes. Os resultados obtidos mostram que a aplicação da fonte Zn-Biocrop não prejudica a germinação e o vigor, pelo período de oito meses de armazenamento. O tratamento de sementes com boro (B-Biocrop e B-Orgânico) diminui a germinação e o vigor

Goats in a comfortable and stressed environment consuming saline water: performance, digestibility, nitrogen balance, and urinary mineral concentrations

ABSTRACT The objective was to evaluate the effect of water salinity and environmental temperature on the nutrient consumption, digestibility, nitrogen balance, and mineral excretion of creole goats. Thirty-six males with an average age of 5.0±0.6 months and an average weight of 20.0±2.3kg were housed in metabolic cages. They are distributed in a completely randomized design, with a 2×3 type crossover (2 temperatures (T1 = 26±0.6ºC and T2 = 32±1.2ºC) and three levels of salinity (1.0, 6.0, and 12.0 dS m-1). The temperature influenced (P0.05) of temperatures or water salinity levels; the animals consumed and retained averages of 10.31 and 4.19 g day-1 of nitrogen in the body, respectively. The different water salinity levels influenced (P<0.05) water intake and increased the excretions of potassium and sodium in urine. Total solids levels ranging from 640 to 9,600mg L-1 in water for goats increase water consumption, as does urine potassium and sodium excretion in urine

A connectome of the adult drosophila central brain

The neural circuits responsible for behavior remain largely unknown. Previous efforts have reconstructed the complete circuits of small animals, with hundreds of neurons, and selected circuits for larger animals. Here we (the FlyEM project at Janelia and collaborators at Google) summarize new methods and present the complete circuitry of a large fraction of the brain of a much more complex animal, the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses, and proofread such large data sets; new methods that define cell types based on connectivity in addition to morphology; and new methods to simplify access to a large and evolving data set. From the resulting data we derive a better definition of computational compartments and their connections; an exhaustive atlas of cell examples and types, many of them novel; detailed circuits for most of the central brain; and exploration of the statistics and structure of different brain compartments, and the brain as a whole. We make the data public, with a web site and resources specifically designed to make it easy to explore, for all levels of expertise from the expert to the merely curious. The public availability of these data, and the simplified means to access it, dramatically reduces the effort needed to answer typical circuit questions, such as the identity of upstream and downstream neural partners, the circuitry of brain regions, and to link the neurons defined by our analysis with genetic reagents that can be used to study their functions. Note: In the next few weeks, we will release a series of papers with more involved discussions. One paper will detail the hemibrain reconstruction with more extensive analysis and interpretation made possible by this dense connectome. Another paper will explore the central complex, a brain region involved in navigation, motor control, and sleep. A final paper will present insights from the mushroom body, a center of multimodal associative learning in the fly brain

A connectome and analysis of the adult Drosophila central brain

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly’s brain