3,383 research outputs found
A soja no Brasil: história e estatística.
Origem e distribuicao no mundo; Introducao e primeiras experiencias no Brasil; Evolucao da producao; Destino da producao; Capacidade de processamento; Portos de embarque; Meios de transporte; Precos recebidos pelos produtores; Custos de producao.bitstream/item/23236/1/Doc21.pd
Extração de DNA genômico de cereais de inverno na Embrapa Trigo.
bitstream/CNPT-2010/40600/1/p-co235.pd
Similaridade genética em acessos de Aegilops tauschii, Triticum durum e híbridos interespecíficos.
bitstream/CNPT-2010/40330/1/p-bp57.pd
Variabilidade genética de Magnaporthe oryzae do trigo e os tipos compatíveis de populações simpátricas do patógeno.
Coorientador: João Leodato Nunes Maciel
Extração de DNA genômico de nematóides entomopatogênicos na Embrapa Trigo.
bitstream/CNPT-2010/40747/1/p-co257.pd
Otimização do método de extração de DNA de Magnaporthe oryzae de trigo.
bitstream/item/114990/1/2014-Comunicado-tecnico-online-343.pd
Herbicide and nitrate residues in surface and groundwater from sugarcane area in Brazil.
Various studies have demonstrated the presence at high levels of pesticides and nitrate in soil, surface, and groundwater. Prior studies have identified a watershed area in Brazil with a high risk of soil, surface, and groundwater contamination by pesticides at the region of Riberao Preto, SP. Surface and groundwater were collected at the area during the period of October 1995 to November 1998. By means of gas chromatography-mass spectrometry (GC-MS) technique the herbicides tebuthiuron, diuron, simazine, atrazine, and ametryne, and nitrate were analyzed according to the protocols established in literature. The recovery obtained in the extraction procedure was higher than 95% for all herbicides except simazine for which the recovery was 85,6%. Due to the enrichment in the extraction procedure and the sensitive detection at two wavelengths it was possible to obtain a quantification limit of 0.02 ug/L for the herbicides studied. The method was linear over the range of 0.02 to 2.0 ug/L. Soil data showed a higher level of the herbicide tebuthiuron, at the levels of 59.6 ppb; than the other applied during all the months. The results have shown the hercicide tebuthiuron as the one with higher concentrations in groundwater and in January of 1996 the concentration found was 0.08 ug/L, close to the maximum allowed, 0.1 ug/L, but this fact was not consistent during the other months. No residue of the other herbicides was detected. In case of nitrates, with maximum level allowed of 10 mg/L, it was found the maximum of 0.9 mg/l, but in a shallow well inside the area. Commercial wells at the edge of the watershed showed low levels of nitrate, below the risk level, but with potential for dangerous contamination.bitstream/item/199623/1/Cerdeira-Herbicide.pd
Obtenção de isolados de nematóides entomopatogênicos visando o controle de corós-praga do trigo.
Área: Entomologia
Learning Quantum Systems
Quantum technologies hold the promise to revolutionise our society with ground-breaking applications in secure communication, high-performance computing and ultra-precise sensing. One of the main features in scaling up quantum technologies is that the complexity of quantum systems scales exponentially with their size. This poses severe challenges in the efficient calibration, benchmarking and validation of quantum states and their dynamical control. While the complete simulation of large-scale quantum systems may only be possible with a quantum computer, classical characterisation and optimisation methods (supported by cutting edge numerical techniques) can still play an important role. Here, we review classical approaches to learning quantum systems, their correlation properties, their dynamics and their interaction with the environment. We discuss theoretical proposals and successful implementations in different physical platforms such as spin qubits, trapped ions, photonic and atomic systems, and superconducting circuits. This review provides a brief background for key concepts recurring across many of these approaches, such as the Bayesian formalism or Neural Networks, and outlines open questions
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