Most of the nitrogen (N) required by a soybean plant is supplied via biological nitrogen fixation (BNF). When BNF is adequately established in the soil, soybean can obtain up to 50 to 75% of its N from the air. This project aims to quantify the response to inoculation for soybean in its second year in a field without previous history of this crop. Due to this objective, a field study was conducted during the 2015 and 2016 growing seasons at Ottawa, KS (East Central experiment field location). The treatments consisted of five different Nmanagement approaches: non-inoculated (NI), inoculated ×1 (I×1), inoculated ×2 (I×2), inoculated ×3 (I×3), and non-inoculated but fertilized with 300 lb N/a (NF) as the main N source. In 2015, yields among treatments did not differ significantly from one another. In 2016, yields ranged from 36 to 59 bushels per acre. Greater yields were recorded when fertilized with 300 lb N/a, while lowest yield was related to the noninoculated scenario. Treatments presented significant yield difference; however, the scenario with 300 lb N/a did not differ from the inoculated ×3; while the inoculated treatments were not different for the yield factor. In summary, further research should be pursued to be more conclusive as to the best management approach for N in soybeans in an area without history of this crop.

Traffic noise is a problem that affects the society. However, they have to establish the triggers values for minimum standards of acoustic comfort to the people. The major factor to generate traffic noise is the tire/pavement interaction for speeds higher than 40 km/h. This work presents some evaluations of noise on the tire/pavement interface for different traffic speeds (40, 60 and 80 km/h), for several types of asphalt wearing courses applied in the State of Sergipe-Brazil (conventional asphalt mix and polymer-modified hot mix asphalt, slurry seal and double bituminous surface treatment). It was observed that the noise growth is proportional to the speed increase. The noise also varies with changing parameters such as voids, surface texture and roughness. It was proposed a prediction model to quantify the noise at the tire/pavement interaction from the speed and surface characteristics of asphalt wearing courses. The designers have now additional tools to indicate alternative pavements to critical urban roads, contributing to increase the society acoustic comfort, knowing as quit pavements.

Nas circunstâncias de escassez hídrica, cresce a adoção de técnicas de uso racional de água, dentre as quais o reúso, que vem sendo utilizado por vários setores usuários desse recurso, inclusive a indústria. Diante desse cenário, este trabalho teve por objetivo principal analisar a viabilidade da implementação do sistema de reúso de água em uma indústria de revestimento cerâmico, localizada no estado de Sergipe, considerando aspectos econômicos, ambientais e sociais. Para isso foram realizadas entrevistas, visitas locais, questionários, ensaios laboratoriais, projeto e orçamento da obra, por meio dos quais foram coletados os dados necessários para o desenvolvimento do trabalho. Concluiu-se que é viável a implantação do sistema de reúso em uma indústria de revestimento cerâmico, pois, apesar de não promover retorno de investimento para a indústria em estudo, possibilita uma alta redução de consumo e tem boa aceitabilidade, contribuindo para o meio ambiente e a atenuação da crise. Palavras-chave: Uso racional. Reúso de água. Indústria.

A seca é um fenômeno natural recorrente em diversas regiões do planeta e provoca sérios impactos sobre o meio ambiente e a população. O histórico da gestão de secas no Brasil revela o caráter emergencial e reativo das medidas comumente adotadas. Contudo, a implementação do Monitor de Secas (MSB) no país evidencia o início da transição para gestão de riscos. Essa ferramenta consiste em um produto de monitoramento baseado em diversos índices e dados observados, através de um processo participativo entre instituições federais e estaduais. Dada a importância da consolidação do Monitor como meio de suporte à decisão para políticas públicas, esta pesquisa buscou avaliar a existência de associação entre as categorias de seca do MSB e dados climáticos para o estado de Sergipe. Foram utilizadas as ferramentas estatísticas do teste de independência do Qui-Quadrado e do coeficiente de correlação  de Cramer. O teste de independência mostrou que há associação entre os mapas do MSB e as precipitações mensais, trimestrais e semestrais; anomalias mensais, trimestrais e semestrais; e o Índice de Vegetação da Diferença Normalizada (NDVI). Contudo, o cálculo do coeficiente de Cramer identificou fraqueza na associação com os dados de precipitação e anomalias, com melhores resultados à medida que o período considerado foi maior. O NDVI foi a variável climática com maior correlação com as categorias do Monitor, refletindo características agrícolas da seca. De modo geral, pode-se afirmar que o Monitor tem representado o estado de Sergipe com baixa eficiência, necessitando de ajustes e melhorias, devido à sua crescente importância como ferramenta de suporte à decisão.

Brand names appearing in this publication are for product identification purposes only. No endorsement is intended, nor is criticism implied of similar products not mentioned. K-State Research and Extension is an equal opportunity provider and employer. Follow this and additional works at: https://newprairiepress.org/kaesrr Part of the Agronomy and Crop Sciences Commons Recommended Citation Recommended Citation Secchi, M. A.; Albuquerque, T. M.; Ortez, O. A.; Carmona, G. I.; Kimball, J.; Adee, E. A.; and Ciampitti, I. A. Abstract AbstractThe relationships between soybean (Glycine max) seed yield and response to nitrogen (N) fertilization have received considerable coverage in scientific literature. This project aims to quantify the response to inoculation for soybean in a field without previous history of this crop (20 years). To address this objective, field studies were conducted during the 2015, 2016, and 2017 growing seasons at the East Central Experiment Field, Ottawa, KS. The treatments consisted of five different N-management approaches: non-inoculated (NI), inoculation at the recommended commercial rate (I1), a double rate of inoculation (I2), a triple rate of inoculation (I3), and non-inoculated but fertilized with 300 lb of N/a (NF). In the 2015 growing season, yields did not statistically differ from one another. In the 2016 growing season, treatment differences were observed and seed yield ranged from 36 to 59 bu/a. In the 2017 growing season, treatments showed significant yield difference, with yields ranging from 23 to 52 bu/a, from the NI to the NF treatment, respectively. Further research should be carried out to understand the impact of the inoculation practice and better understand the best management for N in soybean in newly-planted areas. SummaryThe relationships between soybean (Glycine max) seed yield and response to nitrogen (N) fertilization have received considerable coverage in the scientific literature. This project aims to quantify the response to inoculation for soybean in a field without previous history of this crop (20 years). To address this objective, field studies were conducted during the 2015, 2016, and 2017 growing seasons at the East Central Experiment Field, Ottawa, KS. The treatments consisted of five different N-management approaches: non-inoculated (NI), inoculation at the recommended commercial rate (I1), a double rate of inoculation (I2), a triple rate of inoculation (I3), and non-inoculated but fertilized with 300 lb of N/a (NF). In the 2015 growing season, yields did not statistically differ from one another. In the 2016 growing season, treatment differences were observed and seed yield ranged from 36 to 59 bu/a. In the 2017 growing season, treatments showed significant yield difference, with yields ranging from 23 to 52 bu/a, from the NI to the NF treatment, respectively. Further research should be carried out to understand the impact of the inoculation practice and better understand the best management for N in soybean in newly-planted areas.