Search

RESUMO : Acoes de popularizacao da ciencia associadas ao uso de midias digitais ampliam as oportunidades e os espacos para a divulgacao de temas de interesse para a sociedade, imprimindo esforco adicional para maior inteligibilidade do discurso cientifico pelo publico leigo. Na atualidade, em instituicoes publicas de pesquisa, como a Empresa Brasileira de Pesquisa Agropecuaria (Embrapa), as acoes de divulgacao cientifica tambem vem sendo apoiadas por estrategias comunicacionais na midia digital, por meio de microvideos e aplicativos moveis para acesso via c elulares, tablets e smartphones . O artigo apresenta resultados de pesquisa realizada visando a definicao de estrategia comunicacional para promover a divulgacao de informacoes e conhecimentos gerados pela Embrapa sobre solucoes tecnologicas, em especial, softwares e sistemas de informacao, necessarias a adequacao da paisagem rural ao Codigo Florestal brasileiro. Apos um processo de identificacao e qualificacao de produtos de software e sistemas de informacao, cujos conteudos contemplam a tematica ambiental e florestal, e dada a inexistencia na Embrapa de materiais audiovisuais e aplicativos moveis sobre tais tecnologias, decidiu-se pela producao de dezesseis microvideos e pelo desenvolvimento de um aplicativo movel. Com essa estrategia comunicacional, a Embrapa amplia os meios de acesso gratuito ao conhecimento gerado pela pesquisa, utilizando-se de recursos digitais disponibilizados via dispositivos moveis, acessiveis via internet. Ess es recursos favorecem a aproximacao da Embrapa com a sociedade, contribuindo para a popularizacao do conhecimento cientifico . PALAVRAS - CHAVE : divulgacao cientifica; transferencia de tecnologia; conteudos digitais; sistemas de informacao georreferenciados; aplicacao movel . ABSTRACT : Actions to popularize science associated with the use of digital media expand the opportunities and spaces for the dissemination of topics of interest for the society, introducing additional effort to increase the intelligibility of scientific discourse by the lay public. Currently, in public research institutions, such as the Brazilian Agricultural Research Corporation (Embrapa), scientific dissemination actions have also been supported by communication strategies in digital media, through micro video and mobile applications for access via cell phones, tablets and smartphones. This article presents research results aimed at the definition of a communication strategy to promote the dissemination of information and knowledge generated by Embrapa on technological solutions, especially softwares and information systems, necessary for the adaptation of the rural landscape to the Brazilian Forest Code. After a process of identification and qualification of software products and information systems, whose contents cover the environmental and forest issues, and given the lack of Embrapa of audiovisual materials and mobile applications on such technologies, it was decided to produce sixteen micro videos and by developing a mobile application. With this communication strategy, Embrapa expands the means of free access to the knowledge generated by the research, using digital resources made available through mobile devices, accessible through the Internet. These resources favor the approach of Embrapa with society, contributing to the popularization of scientific knowledge . KEYWORDS : scientific dissemination; technology transfer; digital content; georeferenced information systems; mobile application .

Mobile learning is the kind of learning that applies mainly to non-formal education actions from the perspective of continuing education. Within the scope of companies, the demand for educational actions is increasing, notably focused on distance education and training, aimed at both internal and external audiences. However, for the implementation of activities dedicated to mobile learning, it is necessary to develop a digital platform to host the virtual learning environment. Under these conditions, it should be structured in a flexible format and design to encourage interactivity between learners and teachers in the implementation of teaching and learning activities. The article presents and discusses a proposal for a digital mobile platform, called e-Codex, which aims to support educational actions, to promote collaboration and learning, as well as to meet the information dissemination and knowledge generation needs of the Brazilian agroforestry sector. The research was carried out in two phases, the first one consisted of a review of the theoretical-conceptual literature on topics involving cyberspace, digital media and education in virtual spaces, in order to subsidize the development of a digital platform for support the educational actions within the scope of the Embrapa Special Forest Code Project. The second phase of the research consisted in the application of questionnaires to the members of the Special Forest Code Project to know their perceptions and interaction requirements, considered relevant in a digital virtual space, in order to favor horizontal and dialogic relations conducive to new learning. The analysis of the data pointed to the definition of essential elements of the platform design, associating with this, a set of functionalities capable of favoring aspects of interactivity, integration, sharing and exchange of information, knowledge and experiences inherent to virtual learning spaces. The e-Codex Platform incorporates aspects considered important by the research subjects, such as: the need for its creation, their main characteristics and contributions, the possibilities of use, and the forms of organization of the contents and activities offered.

This article presents an outline of model of the educational microcontent production for microtraining, built from the point of view that learning is a relational, intentional and experiential process, and, as such, it results from social interactions that also occur in labour spaces. The model, entitled “production cycle of pedagogical contents (microcontents)” is conceptually anchored in the theoretical precepts of transmedia storytelling and multimedia design, which in turn, are based in aspects of language, communication and cognition, bringing innovative elements capable of favouring leanings. In order to develop the model proposed and presented in the article, inherent conceptions to transmedia storytelling, multimedia design and education, are bound and articulated. Furthermore, one promotes the dialogue between non-formal education in the context of continuous formation and in the interest of technology transfer actions (TT) and of rural extension and technical assistance, for the formulation of microtraining activities via mobile devices. The essence of the model lies in the proposition of a sequence of steps that culminate in the production and organization of technological contents that incorporate pedagogical paths. Those paths serve as learnings favouring routes. It is accepted that this way of producing and organizing contents increases the chances of the subjects involved in the microtraining reflect upon and investigate their practices, abilities and experiences, thus helping them to resignify their realities and to build new rationalities to address their problems. The model “production cycle of pedagogical contents (microcontents)” was built to potentialize the chances of making microtrainings via mobile devices into massive actions that favour the TT process of Brazilian Agricultural Research Corporation (Embrapa), under a constructivist learning approach.

Projected change in forage production under a range of climate scenarios is important for the evaluation of the impacts of global climate change on pasture-based livestock production systems in Brazil. We evaluated the effects of regional climate trends on Panicum maximum cv. Tanzânia production, predicted by agro-meteorological model considering the sum of degree days and corrected by a water availa bility index. Data from Brazilian weather stations (1963?2009) were considered as the current climate (baseline), and future scenarios, based on contrasting scenarios interms of increased temperature and atmospheric CO2 concentrations (high and low increases), were determined for 2013?2040 (2025 scenario) and for 2043?2070 (2055 scenario). Predicted baseline scenarios indicated that there are regional and seasonal variations in P. maximum production related to variation intemperature and water availability during the year. Production was lower in the Northeast region and higher in the rainforest area. Total annual productionunder future climate scenarios was predicted toincrease by up to 20% for most of the Brazilian area, mainly due to temperature increase, according to each climate model and scenario evaluated. The highest increase in forage production is expected to be in the South, Southeast and Central-west areas of Brazil. In these regions, future climate scenarios will not lead to changes in the seasonal production, with largerincreases in productivity during the summer. Climate risk is expected to decrease, as the probability of occurrence of low forage productions will be lower. Due to the predicted increase in temperature and decrease in rainfall in the Northeast area, P. maximum production is expected to decrease, mainly when considering scenarios based on the PRECIS model for the 2055 scenario. Made available in DSpace on 2022-09-29T20:09:30Z (GMT). No. of bitstreams: 1 Panicum-maximum-cv.-Tanzania-climate-trends-and-regional-pasture-production-in-Brazil.pdf: 1565729 bytes, checksum: eebcd97d8cc4cd547b256f2e891d9c75 (MD5) Previous issue date: 2016

The aim of this study was to evaluate the impacts of climate change on irrigation water demand of melon plants grown in Jaguaribe-Apodi Irrigation District (DIJA), which is located between the states of Ceara and Rio Grande do Norte, in Northeastern Brazil. Future scenarios were developed using the Eta-CPTEC/HadCM3 climate change projections, after being submitted to downscaling method. We used a set of climate data from the same model for the period of 1961 through 1990, and further projections after bias correction. Local geographic coordinates were interpolated using GIS techniques. Reference evapotranspiration (ETo) was estimated from the monthly minimum and maximum mean temperatures, using a limited data method. The rainfall, temperature, ETo, and water demand future projections were mapped for the area of investigation to analyze spatial variability. ETA model simulations for climatic change showed growth in irrigation water demands due to evapotranspiration increase (from 28.4% to 33.4%), even though rainfall increases (between 61.9% and 89.9%). The increase in the average gross water demand is varied from 37.5% to 78.2% within the period of 2031 to 2060, respective to the common planting season.

A agricultura é a atividade econômica mais dependente das condições climáticas e, em países tropicais, mais de 80% da variabilidade da produção agrícola pode ser explicada pelas condições meteorológicas. Nesse sentido, o uso contínuo de infor­mações relacionadas ao comportamento de variáveis meteorológicas para apoiar os processos de tomada de decisão gerencial em propriedades rurais permite mi­nimizar riscos e garantir a estabilidade dos níveis de produtividade das lavouras. Este trabalho descreve a experiência da Embrapa Informática Agropecuária, Uni­dade Descentralizada de Pesquisa da Empresa Brasileira de Pesquisa Agropecuária (Embrapa) e do Centro de Pesquisas Meteorológicas e Climáticas Aplicadas à Agri­cultura (CEPAGRI) da Universidade Estadual de Campinas (UNICAMP) no desenvol­vimento da plataforma web Sistema de Monitoramento Agrometeorológico (Agri­tempo), incluindo a geração de novas versões do sistema e novas funcionalidades a ele associadas.

The aim of this study was to model the occurrence of extreme dry spells in the Midwest, Southeast and Southern regions of Brazil and estimate the return period of the phenomenon indicating the time when the occurrence is more severe. The generalized extreme value distribution was the best fit for a series of maximum dry spell number and the parameters estimated by the maximum likelihood method. The data series adherence to the probability distribution was verified by the Kolmogorov–Smirnov test and the percentile–percentile charts. The positive trend of dry spells was verified by the Mann–Kendall test and non-stationarity rejected by Dickey–Fuller and augmented Dickey–Fuller tests. The irregular distribution of rainfall in the growing season for the Midwest region has increased the number of dry spells. The increase of rainy days in the Southeast and the South resulted in a decrease of dry spells in these regions. Regarding the return period of one year, dry spells occurred from 5 to 25 days in the Midwest region meaning a loss of productivity for Brazilian agriculture if it happened between the flowering and grain filling phases, making it, therefore the region with the largest agricultural risk. When the intensity of the dry spells was analyzed for different return periods, the Southern region was the most vulnerable.

Gondim, Rubens S., Marco A.H. de Castro, Aline de H.N. Maia, Silvio R.M. Evangelista, and Sergio C. de F. Fuck, Jr., 2012. Climate Change Impacts on Irrigation Water Needs in the Jaguaribe River Basin. Journal of the American Water Resources Association (JAWRA) 48(2): 355-365. DOI: 10.1111/j.1752-1688.2011.00620.x Abstract: Climate change is conceptually referred to as a modification to the average of climate variables and their natural variability, due to both natural and anthropogenic driving forces, such as greenhouse gas emissions. Climate change potentially impacts rainfall, temperature, and air humidity, which have relationship with plant evapotranspiration and consequently to irrigation water needs (IWN). The purpose of this research is to assess climate change impacts on irrigation water demand, based on climatic impacts stemming from future greenhouse gas emission scenarios. The study area includes eight municipalities in the Jaguaribe River Basin, located in the Ceara State of semiarid northeast Brazil. The FAO Penman-Monteith method is used for the calculation of a reference evapotranspiration with limited climatic data. IWN projections are calculated using bias-corrected climate projections for monthly rainfall and surface temperature derived from the United Kingdom’s Hadley Centre Regional Climate Model simulations. The increase in the average IWN is projected to be 7.9 and 9.1% over the period 2025-2055 for the A2 and B2 scenarios, respectively with respect to 1961-1990 baseline.

As mudanças climáticas têm potencial de alterar os processos do ciclo hidrológico, tais como precipitação, que afeta o escoamento superficial, temperatura e umidade relativa do ar devido à sua estreita relação com evaporação e vazão em corpos hídricos e evapotranspiração das plantas. O objetivo do presente trabalho foi analisar os impactos das mudanças climáticas na necessidade hídrica da cultura da bananeira, considerando-se cenários de mudanças climáticas em escala local, em nível de bacia hidrográfica (rio Jaguaribe, no trecho compreendido entre as barragens do Castanhão e de Itaiçaba). Um conjunto composto de uma baseline (climatologia de base) do modelo de 1961-1990 e de projeções climáticas, foi processado. Os dados foram então extraídos considerando-se as coordenadas geográficas da região em estudo, com resolução de 0,44 x 0,44º, a fim de abranger toda a área. Estimou-se a evapotranspiração de referência (ETo) através de dados da temperatura média mensal e se projetou uma elevação na necessidade hídrica bruta média anual para 2040 com relação às condições iniciais, de 1.989 mm para 2.536 mm e 2.491 mm (27,50 e 25,24%) para os cenários A2 e B2, elaborados pelo Painel Intergovernamental de Mudanças Climáticas, respectivamente.

O objetivo do presente trabalho foi avaliar a metodologia de estimativa da Et oPM utilizando dados mínimos integrados a um Sistema de Informação Geográfica, na bacia do Jaguaribe, Ceará. Foi utilizado o sistema integrado de modelagem regional PRECIS (Providing Regional Climates for Impacts Studies), versão 1.2, utilizando as condições de contorno do Modelo Climático Global, HadAM3P, acoplado ao Modelo Climático Regional (HadRM3P), através da técnica dinâmica de redução de escala (downscaling). Dados mensais de temperaturas máxima e mínima e precipitação foram gerados para o período de 1961-1990, os quais foram analisados quanto a sua variabilidade espacial (latitude/longitude), utilizando-se geoestatística (krigagem). Para validação, foi aplicada regressão linear entre Et oPM estimada com dados mínimos e estimada com dados medidos através de uma estação meteorológica de referência. A média da Et oPM anual estimada com dados mínimos situou-se em 1.719 mm. A metodologia funcionou satisfatoriamente na região estudada, considerando-se os resultados da regressão (coeficiente angular de 0,95, coeficiente de determinação de 0,902, resíduos menores que 0,45 mm dia-1 e Raiz do Quadrado Médio do Erro (RQME) igual a 0,067 mm dia-1). The objective of this work was to evaluate Et oPM using limited climate data integrated with a Geographic Information System in the Jaguaribe basin, Ceará State, Brazil. Regional climate modeling system PRECIS (Providing Regional Climates for Impacts Studies), using boundary conditions of the Hadley Centre Atmospheric Model version 3 - HadAM3, nested to the Hadley Centre Regional Circulation Model - HadRM3P, was used. Monthly time series for minimum and maximum temperature and rainfall were generated for the 1961-1990 period. Variables were analyzed according to spatial variability using kriging geostatistics methodology. A validation was performed, correlating Et oPM estimated with minimum data and with a complete dataset from a reference weather station by linear regression. Average annual estimated Et oPM was 1,719 mm, mapped over the target region. It was demonstrated that the limited data methodology worked satisfactory for the region (linear coefficient of 0.95, determination coefficient of 0.902, errors less than 0.45 mm day-1 and root square error of 0.067 mm day-1).

Important economic sectors such as Agriculture still require the development of specialized software (for web and mobile platform) to enable faster and well-founded decision making processes. In this sense, the improvement of digital ecosystems for agriculture presents major challenges for researchers of information technology, as well as agronomy, agricultural engineering, biology, meteorology and others. In this paper we present an approach that includes the participation of end-users representants in the design process of a mobile application that supports farmers in the agrometeorological monitoring of their crops. This proposed approach uses some issues from psychodrama to improve the involvement of users during technical meetings and evaluation sessions of the mobile application. Results of this research indicate that both users and developers were benefited with this interaction once the product met users' needs and the developers have reduced the number of errors in the final version of the App.

The use of time series of meteorological satellite images, such as the AVHRR/NOAA, and agrometeorological data can be very useful in developing monitoring and forecasting methods for sugarcane crops because they are based on detection changes of space-time behavior. The knowledge about different sugarcane producing areas and climate in a given region is information required to develop models that can be applied simultaneously to several producing municipalities of sugarcane in order to assess the relation between NDVI and WRSI, the estimated productivity and the detection of similarity between the municipalities through distance functions. Thus, the main goal of this paper is to propose numerical models applied to monitor the sugarcane production based on time series of NDVI/AVHRR images and agrometeorological data. The regression method analyzes the relation between a single dependent variable (sugarcane production) and several independent variables (planted area, NDVI, WRSI), that is, use the independent variables whose values are known to predict the values of the selected dependent variable. The models proposed to estimate the sugarcane production using the variables planted area, NDVI and WRSI presented correlation coefficients (R2) around 0.9 and are able to estimate the sugarcane production for the state of Sao Paulo in Brazil.

The objective of this work was to analyze future scenarios for palisade grass yield subjected to climate change for the state of São Paulo, Brazil. An empirical crop model was used to estimate yields, according to growing degree-days adjusted by one drought attenuation factor. Climate data from 1963 to 2009 of 23 meteorological stations were used for current climate conditions. Downscaled outputs of two general circulation models were used to project future climate for the 2013-2040 and 2043-2070 periods, considering two contrasting scenarios of temperature and atmospheric CO2 concentration increase (high and low). Annual dry matter yield should be from 14 to 42% higher than the current one, depending on the evaluated scenario. Yield variation between seasons (seasonality) and years is expected to increase. The increase of dry matter accumulation will be higher in the rainy season than in the dry season, and this result is more evident for soils with low-water storage capacity. The results varied significantly between regions (60%). Despite their higher climate potential, warmer regions will probably have a lower increase in future forage production. O objetivo deste trabalho foi analisar cenários futuros da produção de forragem de capim-marandu, submetido às mudanças climáticas, no Estado de São Paulo. Utilizou-se um modelo de cultivo empírico para estimar a produção, de acordo com os graus-dia de desenvolvimento ajustados pelo fator de penalização hídrica. Dados climáticos de 23 estações meteorológicas, observados de 1963 a 2009, foram utilizados para caracterizar as condições climáticas atuais. Projeções regionalizadas de dois modelos de circulação global foram utilizadas para projetar o clima futuro, para os períodos de 2013-2040 e 2043-2070, considerando-se dois níveis contrastantes de aumento de temperatura e concentração atmosférica de CO2 (alto e baixo). A produção anual de matéria seca poderá ser de 14 a 42% superior ao acúmulo atual, a depender do cenário avaliado. A variação do acúmulo deverá aumentar entre estações (sazonalidade) e entre anos. O aumento da taxa de acúmulo de forragem será maior na estação chuvosa do que na seca, e este resultado é mais evidente para solos com baixa capacidade de armazenamento de água. Os resultados variaram significativamente entre as regiões (60%). Apesar de seu maior potencial climático, as regiões mais quentes provavelmente terão menor incremento na futura produção de forragem.

O objetivo deste trabalho foi avaliar os impactos das mudanças climáticas na demanda de água para irrigação de culturas perenes, na Bacia do Jaguaribe, no Estado do Ceará. Foi empregado o sistema integrado de modelagem regional PRECIS ("Providing Regional Climates for Impact Studies"), e aplicado o método de redução de escala de bacia hidrográfica, com as condições de contorno do modelo climático regional (HadRM3P). Foi utilizado um conjunto de climatologia de base do modelo de 1961 a 1990 e de projeções climáticas futuras. As coordenadas geográficas da região em estudo foram consideradas para interpolação num sistema de informação geográfica. A evapotranspiração de referência foi estimada por meio de dados da temperatura média mensal. As mudanças climáticas projetadas aumentaram a demanda projetada de água para irrigação, porque a evapotranspiração foi estimada para aumentos de 3,1 a 2,2% e a precipitação pluvial foi estimada para diminuições de 30,9 a 37,3%. O aumento da necessidade hídrica foi estimada em 32,9% a 43,9%, para o ano de 2040, conforme o cenário analisado.

Este trabalho teve por objetivo avaliar um sistema de previsão de safra de soja para o Brasil, baseado em modelos empíricos regionalizados para estimativa da produtividade, a partir de um banco de dados de área cultivada em escala municipal, e de um sistema de monitoramento agrometeorológico de abrangência nacional. Os modelos incorporam a base conceitual proposta por Doorenbos & Kassam, com ajustes empíricos para cada região do Brasil, considerando-se as diferenças quanto ao potencial produtivo das principais variedades e as peculiaridades dos sistemas de produção utilizados nas diferentes regiões. A base de informações de área cultivada de cada Estado foi constituída por dados provenientes do IBGE e da Conab. A produção de soja, entre as safras 2000/2001 e 2005/2006, foi estimada e comparada com os levantamentos da Conab. A análise estatística pelo teste t indica não haver diferença entre as estimativas e os dados oficiais. Bons ajustes (R²>0,87) foram obtidos para as produções regionalizadas, com desvios mais expressivos nos estados do Rio Grande do Sul, Santa Catarina, Mato Grosso do Sul, Maranhão, Piauí e Bahia. Para os dados consolidados em escala nacional, o maior desvio observado foi de 5,81%, na safra 2000/2001, e o menor de 0,62% na safra 2005/2006. The aim of this work was to evaluate a system to forecast soybean crop yield for Brazil, based on regional empirical models to assess crop yield, with data from a national database of soybean cropped area in municipal scale, and from an agrometeorological monitoring system covering all Brazilian States. The models incorporated the conceptual bases proposed by Doorenbos & Kassam, with empirical adjustments for each region of Brazil, considering the diverse potential yield of most used varieties and the regional differences in the soybean production systems. Cultivated area database from each State was structured with data from IBGE and Conab. Soybean yield was estimated for harvests from 2000/2001 to 2005/2006 and compared to Conab surveys. Statistical analysis using Test t point out that there is no significant difference between estimates and official data. Good fittings were gotten for region grouped yield data (R²>0.87), with higher deviations for harvest assessment of Rio Grande do Sul, Santa Catarina, Mato Grosso do Sul, Maranhão, Piauí and Bahia. In national scale, the highest observed deviation was 5.81% for the 2000/2001 harvest, and the smaller one was 0.62% for the 2005/2006 yield.

Ontologies have been created for many different subjects and by independent groups around the world. The nonexistence of a commonly accepted and used general purpose upper-ontology makes it difficult to integrate these ontologies through merge and alignment operations. The majority of the algorithms proposed so far rely on syntactic analysis, disregarding the structural properties of the source ontologies. In our previous work, we proposed an alignment method that considers the structural properties of an upper-ontology constructed using a thesaurus and Formal Concept Analysis technique (FCA). We also analyzed the FCA's lattice structure and proposed a measure of similarity based on Tversky's model, which allowed us to identify closely related concepts in different source ontologies. In this paper, we apply the alignment method to ontologies developed for a completely different domain, and enhance the solution by providing a navigational aid for the lattice. It is well known that one of the main drawbacks of the application of FCA is that the resulting lattice soon becomes cluttered when the number of objects and attributes increases. The proposed solution is based on hyperbolic visualization and on structural elements of the lattice.

In this paper, we present the use of hypertree as a supporting tool for visualization of ontologies in agricultural domain. This kind of visualization technique was used in the Information Agency Project, in execution by the Brazilian Agricultural Research Corporation -- Embrapa. The project's aim is to provide an information dissemination system structured in accordance to the productive chains of given products. That structure was chosen because it reflects the natural way technicians use to interact whenever they are transferring knowledge back and forth with farmers.

Mobile learning is the kind of learning that applies mainly to non-formal education actions from the perspective of continuing education. Within the scope of companies, the demand for educational actions is increasing, notably focused on distance education and training, aimed at both internal and external audiences. However, for the implementation of activities dedicated to mobile learning, it is necessary to develop a digital platform to host the virtual learning environment. Under these conditions, it should be structured in a flexible format and design to encourage interactivity between learners and teachers in the implementation of teaching and learning activities. The article presents and discusses a proposal for a digital mobile platform, called e-Códex, which aims to support educational actions, to promote collaboration and learning, as well as to meet the information dissemination and knowledge generation needs of the Brazilian agroforestry sector.

Como a agricultura é altamente influenciada pelas condições climáticas e meteorológicas, o conhecimento dessas condições é fundamental para o setor. Desenvolvido em 2002 e disponibilizado em 2003 na Web, o Sistema de Monitoramento Agrometeorológico (Agritempo) oferece gratuitamente informações agrometeorológicas de elevado interesse para a agricultura. Foram utilizados recursos públicos no desenvolvimento do sistema, sendo, portanto, direito da sociedade conhecer os retornos. Foram analisados os benefícios oriundos da redução de custos e do incremento de produtividade na agricultura e na mão de obra pela adoção do sistema. Considerando os dados de custos e benefícios, no período de 2002 a 2014 a taxa interna de retorno foi de 38,2%; a relação benefício/custo, de 2,61; e o valor presente líquido, de R$ 8.663.859,17. Verificaram-se também benefícios não monetários: segurança alimentar, capacitação, capacidade produtiva do solo e uso de recursos naturais, geração e intercâmbio de novos conhecimentos, melhoria na captação de recursos e no relacionamento político-institucional, entre outros. Com esses resultados favoráveis, comprovam-se a importância do Agritempo e os retornos dos recursos públicos na pesquisa agrícola.

Este trabalho teve como objetivo analisar a aptidão climática para a cultura da manga para o clima atual e cenários futuros do IPCC (Painel Intergovernamental de Mudanças Climáticas) no Brasil. As condições climáticas ideais para a cultura da manga utilizados neste estudo foram padronizadas para o Brasil de acordo com documentos Zoneamento de Riscos Climáticos Agrícola. Para o zoneamento futuro da manga foram utilizados os dados de temperatura do ar e precipitação gerar por PRECIS e modelos ETA-CPTEC para os cenários de altas e baixas emissões de dióxido de carbono do IPCC (Painel Intergovernamental sobre Mudanças Climáticas), para as condições atuais (de base), 2025 e 2055. Foi utilizado sistema de informação geográfica para elaborar os mapas e tabelas. Os resultados indicam que pode haver reduções nas áreas apropriadas para o cultivo de manga no Brasil, considerando-se os modelos climáticos gerados pelo ETA e PRECIS. Assim, o manejo da cultura da manga deve ser adaptado para tornar possível obter produção satisfatória em cenários de baixa disponibilidade hídrica e aumento da temperatura. Número especial IV SMUD 2015.

The effects of global warning on soybeans and arabica coffee at the end of 21st century were assessed based on the prognostics of IPCC and on the methodology of the agricultural zoning program. The potential economic impact on the production of soybeans and arabica coffee can be significant in the regions analyzed showing the immediate need for political and technical actions in order to minimize unfavorable effects that can affect the Brazilian economy in the next decades. Made available in DSpace on 2017-03-31T23:44:50Z (GMT). No. of bitstreams: 1 APPotentialZulloetal2008.pdf: 1588390 bytes, checksum: 4090794560f09bb8ae311c000f6665eb (MD5) Previous issue date: 2009-03-30

Este trabalho teve por objetivo avaliar um sistema de previsão de safra de soja para o Brasil, baseado em modelos empíricos regionalizados para estimativa da produtividade, a partir de um banco de dados de área cultivada em escala municipal, e de um sistema de monitoramento agrometeorológico de abrangência nacional. Os modelos incorporam a base conceitual proposta por Doorenbos & Kassam, com ajustes empíricos para cada região do Brasil, considerando-se as diferenças quanto ao potencial produtivo das principais variedades e as peculiaridades dos sistemas de produção utilizados nas diferentes regiões. A base de informações de área cultivada de cada Estado foi constituída por dados provenientes do IBGE e da Conab. A produção de soja, entre as safras 2000/2001 e 2005/2006, foi estimada e comparada com os levantamentos da Conab. A análise estatística pelo teste t indica não haver diferença entre as estimativas e os dados oficiais. Bons ajustes (R2³0,87) foram obtidos para as produções regionalizadas, com desvios mais expressivos nos estados do Rio Grande do Sul, Santa Catarina, Mato Grosso do Sul, Maranhão, Piauí e Bahia. Para os dados consolidados em escala nacional, o maior desvio observado foi de 5,81%, na safra 2000/2001, e o menor de 0,62% na safra 2005/2006. Made available in DSpace on 2011-04-09T17:16:23Z (GMT). No. of bitstreams: 1 42n05a02.pdf: 1208627 bytes, checksum: 854bd60245cfaccd26f6a6e5126fc0ec (MD5) Previous issue date: 2007-07-17