As múltiplas fontes de renda e a pluriatividade nos bairros Aeroporto, Cedro, Córrego da Onça, Ponte Alta e Gramado no município de Presidente Prudente-SP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Desenvolvimento sustentável e políticas públicas: espaços de reprodução do modo capitalista de produção. O Programa Estadual de Microbacias Hidrográficas na microbacia hidrográfica do Córrego do Pereira

Pós-graduação em Geografia - FCT

Desenvolvimento e meio ambiente: uma avaliação das políticas na Mesorregião Sudoeste do Paraná

Pós-graduação em Geografia - FCT

A expansão da agroindústria sucroalcooleira e a questão do desenvolvimento da microrregião de Dracena-SP

Pós-graduação em Geografia - FCT

Avaliação da qualidade fisiológica de sementes de milho de classes de tamanho misturadas para fins de semeadura fluidizada

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Levantamento de raças de Bremialactucae em 2011 nas principais áreas produtoras de alfaces do Estado de São Paulo e avaliação da resistência em cultivares comerciais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização molecular e patogênica de isolados de Colletotrichum spp. associados a sintomas de antracnose em mangueiras

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Comportamento de variedades de cana-de-açúcar, em duas idades, ao ataque de Diatraea saccharalis (Fabricius, 1794) (Lepidoptera: Crambidae) na presença de parasitismo, em área de expansão no Estado do Mato Grosso do Sul

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Viabilidade de adubação da goiabeira ‘Paluma’ utilizando subproduto residual da indústria processadora de frutos da própria cultura

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Florescimento e frutificação em lichieiras

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Produção e qualidade de frutos de pitaya (Hylocereus undatus)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação de cultivares de alface crespa produzidas em hidroponia tipo NFT em dois ambientes protegidos em Ribeirão Preto (SP)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Identificação de colletotrichum gloeosporioides de atemóia (Annona cherimola x Annona squamosa), por meio de caracterização patogênica, cultural e morfológica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Determinação da densidade amostral ótima para a geração de mapas temáticos na cafeicultura de precisão

Among the crops commercially exploited in Brazil, the coffee has a great economic importance, especially in the states of Minas Gerais and Espirito Santo. In the search for higher yield and lower environmental impact, farmers and researchers seek to develop new technologies that result in greater efficiency in various production processes of the coffee. For this, the adoption of precision agriculture in the management of operations in coffee crops, called precision coffee, has shown results that justify its use, by identifying the spatial variability of several variables, allowing its localized management and in the proper intensity. Unlike conventional management that is based on the average of observations in an area, precision agriculture uses a more detailed sampling, based on a sampling grid, which allows to represent in greater detail the reality of farming. Many previous studies have identified the spatial variability of the production of coffee system variables, but without worrying about the quality of information obtained due to the sampling grid used as precision and accuracy. Given the above, the objective of this study was to evaluate the quality of four different sampling grids for different variables and three times, in order to identify the most appropriate grid for use in precision coffee. Also aimed to compare the results between the precision coffee and conventional, according to reference values.

Componentes principais na elaboração de índices de provas de desempenho em bovinos

The principal component analysis assists the producers in making decision of which evaluated features must be maintained in performance tests indexes, according to the variation present in these animals evaluated. The objective in this study was to evaluate a set of characteristics measured in a performance test in semifeedlot cattle of the Simmental and Angus breeds, by means principal component analysis (PC), aim to identify the features that represent most of the phenotypic variation for preparation of indexes. It was used data from 39 Angus and 38 Simmental bulls from the Santa Éster farm, located in Silvianópolis - MG. The performance test period was from october 2014 to february 2015. The features evaluated in the test were: final weight (FW), average daily gain weight (GW), respiratory rate (RR), haircoat temperature (HT) and rectal (RT), hair number (HN), hair length (HL), hair thickness (HT), muscularity (MUSC), racial characteristics, angulation, reproductive and balance (BAL), height of the front and back, width and length of croup, body length, depth and heart girth, subcutaneous fat thickness and rump (FTR), loin eye area and marbling (MAR). It was used PRINCOMP from SAS program for procedure the PC analysis. It was found that of the 27 features evaluated, the first four PC for Simmental breed explained 74% total variation data. The four PC selected with the corresponding weighting coefficients formed the following index: (0.27 * FW) + (0.47 * MUSC) + (0.50 * HL) + (0.39 * HT). Since the characteristics related to the adaptability of great importance for the studied breed, it was decided to keep the index of evidence for the Angus breed, the feature hair number, because there is a feature that presented a great variability and occupied one of the first principal component. Thus, the Angus index was composed by five features, with 79% total variation data, resulting in the following formula: (0.26 * FW) + (0.33 * BAL) + (0.58 * MAR) - (0.43 * FTR) – (0.38 * HN). By the principal component analysis it was possible to minimize the features number to be evaluated on performance tests from that farm, making the animal selection rapidly and accurate.